A multi-objective linear programming model for scheduling part families and designing a group layout in cellular manufacturing systems
Different industries compete to attract customers in different ways. In the field of production, group technology (GT) is defined by identifying and grouping similar parts based on their similarities in design and production. Cellular manufacturing (CM) is an application of GT to reconfigure the fac...
Uloženo v:
| Vydáno v: | Computers & operations research Ročník 151; s. 106090 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.03.2023
|
| Témata: | |
| ISSN: | 0305-0548, 1873-765X |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Different industries compete to attract customers in different ways. In the field of production, group technology (GT) is defined by identifying and grouping similar parts based on their similarities in design and production. Cellular manufacturing (CM) is an application of GT to reconfigure the factory and job shop design. A manufacturing cell is a group of independent machines with different functions put together to produce a family of parts. Designing a cellular manufacturing system involves three major decisions: cell formation (CF), group layout (GL), and group scheduling (GS). Although these decisions are interrelated and can affect each other, they have been considered separately or sequentially in previous research. In this paper, CF, GL, and GS decisions are considered simultaneously. Accordingly, a multi-objective linear programming (MOLP) model is proposed to optimize weighted completion time, transportation cost, and machine idle time for a multi-product system. Finally, the model will be solved using the ϵ-constraint method, representing different scales solutions for decision-making. The proposed model is NP-hard. Therefore, a nondominated sorting genetic algorithm II (NSGA-II) is presented to solve it since GAMS software is unable to find optimal solutions for large-scale problems. Besides, to evaluate the performance of NSGA-II, the problem is solved by three metaheuristic algorithms.
•Deciding the cell formation, group scheduling, and group layout for designing a cellular manufacturing system.•The model optimizes the completion time, machine efficiency, and transportation costs.•Considering a multi-machine system.•Solving the model by ϵ- constraint and NSGA-II algorithm.•Comparing the efficiency of NSGA-II with three other metaheuristic algorithms. |
|---|---|
| AbstractList | Different industries compete to attract customers in different ways. In the field of production, group technology (GT) is defined by identifying and grouping similar parts based on their similarities in design and production. Cellular manufacturing (CM) is an application of GT to reconfigure the factory and job shop design. A manufacturing cell is a group of independent machines with different functions put together to produce a family of parts. Designing a cellular manufacturing system involves three major decisions: cell formation (CF), group layout (GL), and group scheduling (GS). Although these decisions are interrelated and can affect each other, they have been considered separately or sequentially in previous research. In this paper, CF, GL, and GS decisions are considered simultaneously. Accordingly, a multi-objective linear programming (MOLP) model is proposed to optimize weighted completion time, transportation cost, and machine idle time for a multi-product system. Finally, the model will be solved using the ϵ-constraint method, representing different scales solutions for decision-making. The proposed model is NP-hard. Therefore, a nondominated sorting genetic algorithm II (NSGA-II) is presented to solve it since GAMS software is unable to find optimal solutions for large-scale problems. Besides, to evaluate the performance of NSGA-II, the problem is solved by three metaheuristic algorithms.
•Deciding the cell formation, group scheduling, and group layout for designing a cellular manufacturing system.•The model optimizes the completion time, machine efficiency, and transportation costs.•Considering a multi-machine system.•Solving the model by ϵ- constraint and NSGA-II algorithm.•Comparing the efficiency of NSGA-II with three other metaheuristic algorithms. |
| ArticleNumber | 106090 |
| Author | Zareh Andaryan, Abdullah Chipulu, Maxwell Alavifar, Zeinolabedin Saberi, Morteza Motahari, Rasool |
| Author_xml | – sequence: 1 givenname: Rasool orcidid: 0000-0001-9312-3728 surname: Motahari fullname: Motahari, Rasool email: rasool.motahari@gmail.com organization: School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran – sequence: 2 givenname: Zeinolabedin surname: Alavifar fullname: Alavifar, Zeinolabedin organization: School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran – sequence: 3 givenname: Abdullah surname: Zareh Andaryan fullname: Zareh Andaryan, Abdullah organization: School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran – sequence: 4 givenname: Maxwell orcidid: 0000-0002-0139-6188 surname: Chipulu fullname: Chipulu, Maxwell organization: Business School, Edinburgh Napier University, Scotland, United Kingdom – sequence: 5 givenname: Morteza surname: Saberi fullname: Saberi, Morteza organization: School of Computer Science, University of Technology Sydney, Sydney, Australia |
| BookMark | eNp9kM1KxDAQgIMouP48gLe8QNckbdounpbFPxC8KHgL02S6ZkmTJUmFfQGf25b15MG5DPPzDcx3QU598EjIDWdLznh9u1vqEJeCCTHVNVuxE7LgbVMWTS0_TsmClUwWTFbtOblIacemaARfkO81HUaXbRG6Hepsv5A66xEi3cewjTAM1m_pEAw62odIk_5EM7q5uYeYaQ-DdRYTBW-owWS3fp4B3cYw7qmDQxgztZ5qdG50090B_NiDzmOcF9MhZRzSFTnrwSW8_s2X5P3h_m3zVLy8Pj5v1i-FLiuWC4S6YbJbCSl6KHtZG6haXZt6ZaqqqxmyvlmBKFtuoBWVLEVnOs2bzkjOKgnlJWmOd3UMKUXslbYZsg0-R7BOcaZmnWqnJp1q1qmOOieS_yH30Q4QD_8yd0cGp5e-LEaVtEWv0dg4yVYm2H_oH2dKkxg |
| CitedBy_id | crossref_primary_10_1016_j_cie_2025_110946 crossref_primary_10_1108_JM2_01_2023_0005 crossref_primary_10_1007_s10878_024_01233_8 crossref_primary_10_1016_j_cie_2024_110420 crossref_primary_10_1016_j_eswa_2025_127934 crossref_primary_10_3390_math11040901 crossref_primary_10_1016_j_health_2023_100255 crossref_primary_10_1007_s00170_024_13874_4 crossref_primary_10_1016_j_eswa_2025_129582 crossref_primary_10_1007_s00521_024_10215_0 crossref_primary_10_1142_S0219686725500404 crossref_primary_10_1007_s00500_023_08632_9 crossref_primary_10_1016_j_eswa_2023_122263 |
| Cites_doi | 10.1016/j.cor.2020.105155 10.1080/002075497195876 10.1002/nav.21596 10.1109/ACCESS.2020.3018505 10.1111/j.1540-5915.1990.tb01694.x 10.1109/TFUZZ.2021.3053838 10.1080/00207540110068781 10.1016/j.cie.2011.03.007 10.1287/ijoc.1.3.190 10.1007/s00170-011-3733-4 10.1016/S0925-5273(01)00164-5 10.1007/s10845-004-5888-4 10.1016/S0005-1098(03)00150-X 10.1016/j.cor.2022.105764 10.1016/j.cor.2012.10.016 10.1080/0951192X.2012.665182 10.1016/j.asoc.2020.106719 10.1016/j.cor.2022.105745 10.1137/S1052623495288192 10.3390/en9120982 10.1111/j.1540-5915.1977.tb01074.x 10.1016/j.cor.2022.105915 10.1016/j.cor.2015.06.010 10.1016/j.eswa.2009.08.012 10.1051/ro/2020062 10.1016/j.cor.2021.105427 10.1080/00207543.2019.1683251 10.1016/0925-5273(93)90008-9 10.1016/j.ejor.2004.08.026 10.1016/j.cie.2015.10.014 10.1080/00207543.2015.1113328 10.1016/j.cor.2020.105079 10.1016/j.cor.2021.105300 10.1016/j.ejor.2007.12.014 10.1016/j.cie.2020.106439 10.1016/0925-5273(94)00090-W 10.1016/S0378-4754(99)00122-6 10.1016/S0360-8352(01)00056-0 10.1080/00207540600719674 10.1016/j.cie.2021.107318 10.1007/s00170-009-2322-2 10.1016/j.cor.2014.01.010 10.1007/s00170-003-1749-0 10.1186/s40064-016-2773-5 10.1080/00207547508943029 10.1016/j.ijpe.2012.10.001 10.1016/j.cor.2022.105796 10.1016/S0305-0548(02)00144-2 10.1080/07408179708966364 10.1016/j.cie.2007.06.021 10.1016/j.cie.2013.07.009 10.1016/j.cor.2022.105826 10.1016/j.jmsy.2020.06.011 10.1016/j.cor.2021.105449 |
| ContentType | Journal Article |
| Copyright | 2022 |
| Copyright_xml | – notice: 2022 |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.cor.2022.106090 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Computer Science Business |
| EISSN | 1873-765X |
| ExternalDocumentID | 10_1016_j_cor_2022_106090 S0305054822003203 |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 186 1B1 1OL 1RT 1~. 1~5 29F 4.4 457 4G. 5GY 5VS 6J9 7-5 71M 8P~ 9JN 9JO AAAKF AAAKG AABNK AACTN AAEDT AAEDW AAFJI AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AAXUO AAYFN AAYOK ABAOU ABBOA ABEFU ABFNM ABFRF ABJNI ABMAC ABMMH ABUCO ABXDB ABYKQ ACAZW ACDAQ ACGFO ACGFS ACNCT ACNNM ACRLP ACZNC ADBBV ADEZE ADGUI ADJOM ADMUD AEBSH AEFWE AEHXG AEKER AENEX AFFNX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHZHX AI. AIALX AIEXJ AIGVJ AIKHN AITUG AJBFU AJOXV AKYCK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOMHK AOUOD APLSM ARUGR ASPBG AVARZ AVWKF AXJTR AZFZN BKOJK BKOMP BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q G8K GBLVA GBOLZ HAMUX HVGLF HZ~ H~9 IHE J1W KOM LY1 M41 MHUIS MO0 MS~ O-L O9- OAUVE OZT P-8 P-9 P2P PC. PQQKQ PRBVW Q38 R2- RIG ROL RPZ RXW SDF SDG SDP SDS SES SEW SPC SPCBC SSB SSD SSO SSV SSW SSZ T5K TAE TN5 U5U UAO UPT VH1 WUQ XFK XPP ZMT ~02 ~G- 9DU AATTM AAXKI AAYWO AAYXX ABDPE ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD |
| ID | FETCH-LOGICAL-c340t-ea6705b9252fa3f56da48c6d69d44b60e0f79a2381da824532bdbc17bd51045a3 |
| ISICitedReferencesCount | 14 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000900086600019&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0305-0548 |
| IngestDate | Sat Nov 29 07:19:06 EST 2025 Tue Nov 18 21:43:31 EST 2025 Fri Feb 23 02:39:57 EST 2024 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Cell formation Cellular manufacturing system Group technology Group layout Group scheduling Multi-objective linear programming |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c340t-ea6705b9252fa3f56da48c6d69d44b60e0f79a2381da824532bdbc17bd51045a3 |
| ORCID | 0000-0001-9312-3728 0000-0002-0139-6188 |
| OpenAccessLink | http://researchrepository.napier.ac.uk/Output/2962809 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_cor_2022_106090 crossref_primary_10_1016_j_cor_2022_106090 elsevier_sciencedirect_doi_10_1016_j_cor_2022_106090 |
| PublicationCentury | 2000 |
| PublicationDate | March 2023 2023-03-00 |
| PublicationDateYYYYMMDD | 2023-03-01 |
| PublicationDate_xml | – month: 03 year: 2023 text: March 2023 |
| PublicationDecade | 2020 |
| PublicationTitle | Computers & operations research |
| PublicationYear | 2023 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Jerzy, Piotr (b40) 2021 Elmi, Solimanpur, Topaloglu, Elmi (b29) 2011; 61 Shafiee-Gol, Kia, Tavakkoli-Moghaddam, Kazemi, Kamran (b59) 2021; 55 Wang (b72) 2003; 39 Ghezavati, Saidi-Mehrabad (b31) 2010; 48 Malczewski (b48) 2018 Bellio, Ceschia, Di Gaspero, Schaerf (b15) 2021; 132 Chandrasekharan, Rajagopalan (b19) 1993; 32 Solimanpur, Elmi (b64) 2013; 141 Cao, Chen (b18) 2004; 31 Uddin, Shanker (b70) 2002; 76 Shafiee-Gol, Kia, Tavakkoli-Moghaddam, Kazemi, Kamran (b60) 2021; 55 Wu, Chu, Wang, Yue (b78) 2007; 53 Brown, Sumichrast (b17) 2001; 39 Sun, Benlic, Li, Wu (b66) 2022; 143 Banerjee, Singh, Sahana, Nath (b13) 2022 Arkat, Farahani, Ahmadizar (b5) 2012; 25 Arkat, Rahimi, Farughi (b9) 2021; 34 Sofianopoulou (b63) 1997; 35 Glover, Laguna, Martí (b34) 2003 Tavakkoli-Moghaddam, Gholipour-Kanani, Cheraghalizadeh (b67) 2008; 3 Xu, Hu, Luo, Wang, Wu (b79) 2021; 157 Mathlouthi, Gendreau, Potvin (b49) 2021; 125 Arkat, Rahimi, Farughi (b10) 2021; 34 Yuan, Tole, Ni, He, Xiong, Liu (b80) 2022; 144 Wu, Chen, Yeh (b76) 2004; 24 Aryanezhad, Aliabadi, Tavakkoli-Moghaddam (b12) 2011; 2 Ebrahimi, Kia, Komijan (b26) 2016; 5 Guschinsky, Kovalyov, Rozin, Brauner (b37) 2021; 135 De Lit, Falkenauer, Delchambre (b25) 2000; 51 Rajagopalan, Batra (b58) 1975; 13 Arkat, Farahani, Ahmadizar (b4) 2012; 25 Kulturel-Konak, Smith, Norman (b44) 2006; 169 Mahdavi, Paydar, Solimanpur, Saidi-Mehrabad (b46) 2010; 21 Adenso-Dıaz, Lozano, Racero, Guerrero (b1) 2001; 41 Miettinen (b51) 1999 Arkat, Hosseinabadi Farahani, Hosseini (b8) 2012; 61 Cheng, Janiak, Kovalyov (b23) 1998; 8 Tavakkoli-Moghaddam, Javadian, Khorrami, Gholipour-Kanani (b68) 2010; 37 Neufeld, Teucher, Buscher (b54) 2020; 58 Chankong, Haimes (b22) 2008 Tsai, Chu, Barta (b69) 1997; 29 Wu, Chu, Wang, Yue (b77) 2007; 53 Jaehn, Kovalev, Kovalyov, Pesch (b39) 2014; 61 Hassan (b38) 1995; 38 Liu, Wang, Leung, Li (b45) 2016; 54 Smith, Everson, Fieldsend (b62) 2004 Wang, Lü, Su (b74) 2021; 135 El Yaagoubi, Charhbili, Boukachour, Alaoui (b28) 2022 Czibula, Gu, Hwang, Kovalyov, Zinder (b24) 2016; 65 Shafiee-Gol, Kia, Tavakkoli-Moghaddam, Kazemi, Kamran (b61) 2021; 55 Alimian, Ghezavati, Tavakkoli-Moghaddam (b3) 2020; 56 Ehrgott, Gandibleux (b27) 2003 Wei, Gaither (b75) 1990; 21 Glover (b32) 1977; 8 Arkat, Hosseinabadi Farahani, Hosseini (b7) 2012; 61 Arkat, Farahani, Hosseini (b6) 2012; 61 Bérubé, Gendreau, Potvin (b16) 2009; 194 Rahimi, Arkat, Farughi (b57) 2020; 143 Vin, De Lit, Delchambre (b71) 2005; 16 Chang, Wang, Hao, Wang (b20) 2021; 127 Mohtashami, Alinezhad, Niknamfar (b53) 2020; 34 Neufeld, Teucher, Buscher (b55) 2020; 58 Jia, Hu (b41) 2014; 47 Mehdizadeh, Shamoradifar, Niaki (b50) 2020; 37 Mahesh, Nallagownden, Elamvazuthi (b47) 2016; 9 Forghani, Fatemi Ghomi (b30) 2020; 97 Goli, Tirkolaee, Aydin (b36) 2021 Arora, Haleem, Kumar, Khan (b11) 2020 Bayram, Şahin (b14) 2016; 91 Glover (b33) 1989; 1 Goli, Tirkolaee, Aydın (b35) 2021; 29 Khamlichi, Oufaska, Zouadi, Dkiouak (b42) 2020; 8 Paydar, Saidi-Mehrabad (b56) 2013; 40 Kizilay (b43) 2022; 146 Spiliopoulos, Sofianopoulou (b65) 2007; 45 Chang, Wu, Wu (b21) 2013; 66 Akhmet, Hare, Lucet (b2) 2022; 143 Wang, Liu, Zhou (b73) 2021 Miettinen (b52) 2012 Bérubé (10.1016/j.cor.2022.106090_b16) 2009; 194 Tavakkoli-Moghaddam (10.1016/j.cor.2022.106090_b68) 2010; 37 Rajagopalan (10.1016/j.cor.2022.106090_b58) 1975; 13 Wei (10.1016/j.cor.2022.106090_b75) 1990; 21 Wu (10.1016/j.cor.2022.106090_b76) 2004; 24 Spiliopoulos (10.1016/j.cor.2022.106090_b65) 2007; 45 Bellio (10.1016/j.cor.2022.106090_b15) 2021; 132 Hassan (10.1016/j.cor.2022.106090_b38) 1995; 38 Ebrahimi (10.1016/j.cor.2022.106090_b26) 2016; 5 Arkat (10.1016/j.cor.2022.106090_b5) 2012; 25 Goli (10.1016/j.cor.2022.106090_b36) 2021 Wu (10.1016/j.cor.2022.106090_b77) 2007; 53 Tsai (10.1016/j.cor.2022.106090_b69) 1997; 29 Guschinsky (10.1016/j.cor.2022.106090_b37) 2021; 135 Wang (10.1016/j.cor.2022.106090_b74) 2021; 135 Cao (10.1016/j.cor.2022.106090_b18) 2004; 31 Neufeld (10.1016/j.cor.2022.106090_b55) 2020; 58 Akhmet (10.1016/j.cor.2022.106090_b2) 2022; 143 Glover (10.1016/j.cor.2022.106090_b34) 2003 Chandrasekharan (10.1016/j.cor.2022.106090_b19) 1993; 32 De Lit (10.1016/j.cor.2022.106090_b25) 2000; 51 Glover (10.1016/j.cor.2022.106090_b33) 1989; 1 Mohtashami (10.1016/j.cor.2022.106090_b53) 2020; 34 Uddin (10.1016/j.cor.2022.106090_b70) 2002; 76 Miettinen (10.1016/j.cor.2022.106090_b51) 1999 Arkat (10.1016/j.cor.2022.106090_b6) 2012; 61 Czibula (10.1016/j.cor.2022.106090_b24) 2016; 65 Xu (10.1016/j.cor.2022.106090_b79) 2021; 157 Jerzy (10.1016/j.cor.2022.106090_b40) 2021 Jia (10.1016/j.cor.2022.106090_b41) 2014; 47 Wu (10.1016/j.cor.2022.106090_b78) 2007; 53 Chang (10.1016/j.cor.2022.106090_b21) 2013; 66 Forghani (10.1016/j.cor.2022.106090_b30) 2020; 97 Khamlichi (10.1016/j.cor.2022.106090_b42) 2020; 8 Neufeld (10.1016/j.cor.2022.106090_b54) 2020; 58 Mahdavi (10.1016/j.cor.2022.106090_b46) 2010; 21 Shafiee-Gol (10.1016/j.cor.2022.106090_b60) 2021; 55 Paydar (10.1016/j.cor.2022.106090_b56) 2013; 40 Sofianopoulou (10.1016/j.cor.2022.106090_b63) 1997; 35 Yuan (10.1016/j.cor.2022.106090_b80) 2022; 144 Jaehn (10.1016/j.cor.2022.106090_b39) 2014; 61 Mehdizadeh (10.1016/j.cor.2022.106090_b50) 2020; 37 Malczewski (10.1016/j.cor.2022.106090_b48) 2018 Solimanpur (10.1016/j.cor.2022.106090_b64) 2013; 141 Arkat (10.1016/j.cor.2022.106090_b7) 2012; 61 Bayram (10.1016/j.cor.2022.106090_b14) 2016; 91 Sun (10.1016/j.cor.2022.106090_b66) 2022; 143 Liu (10.1016/j.cor.2022.106090_b45) 2016; 54 Cheng (10.1016/j.cor.2022.106090_b23) 1998; 8 Miettinen (10.1016/j.cor.2022.106090_b52) 2012 Arora (10.1016/j.cor.2022.106090_b11) 2020 Mahesh (10.1016/j.cor.2022.106090_b47) 2016; 9 Elmi (10.1016/j.cor.2022.106090_b29) 2011; 61 Kulturel-Konak (10.1016/j.cor.2022.106090_b44) 2006; 169 Wang (10.1016/j.cor.2022.106090_b72) 2003; 39 Brown (10.1016/j.cor.2022.106090_b17) 2001; 39 Ghezavati (10.1016/j.cor.2022.106090_b31) 2010; 48 Banerjee (10.1016/j.cor.2022.106090_b13) 2022 El Yaagoubi (10.1016/j.cor.2022.106090_b28) 2022 Aryanezhad (10.1016/j.cor.2022.106090_b12) 2011; 2 Rahimi (10.1016/j.cor.2022.106090_b57) 2020; 143 Tavakkoli-Moghaddam (10.1016/j.cor.2022.106090_b67) 2008; 3 Shafiee-Gol (10.1016/j.cor.2022.106090_b61) 2021; 55 Alimian (10.1016/j.cor.2022.106090_b3) 2020; 56 Glover (10.1016/j.cor.2022.106090_b32) 1977; 8 Mathlouthi (10.1016/j.cor.2022.106090_b49) 2021; 125 Adenso-Dıaz (10.1016/j.cor.2022.106090_b1) 2001; 41 Arkat (10.1016/j.cor.2022.106090_b10) 2021; 34 Goli (10.1016/j.cor.2022.106090_b35) 2021; 29 Arkat (10.1016/j.cor.2022.106090_b4) 2012; 25 Chang (10.1016/j.cor.2022.106090_b20) 2021; 127 Arkat (10.1016/j.cor.2022.106090_b9) 2021; 34 Smith (10.1016/j.cor.2022.106090_b62) 2004 Ehrgott (10.1016/j.cor.2022.106090_b27) 2003 Arkat (10.1016/j.cor.2022.106090_b8) 2012; 61 Wang (10.1016/j.cor.2022.106090_b73) 2021 Chankong (10.1016/j.cor.2022.106090_b22) 2008 Shafiee-Gol (10.1016/j.cor.2022.106090_b59) 2021; 55 Vin (10.1016/j.cor.2022.106090_b71) 2005; 16 Kizilay (10.1016/j.cor.2022.106090_b43) 2022; 146 |
| References_xml | – volume: 5 start-page: 1 year: 2016 end-page: 29 ident: b26 article-title: Solving a mathematical model integrating unequal-area facilities layout and part scheduling in a cellular manufacturing system by a genetic algorithm publication-title: SpringerPlus – volume: 135 year: 2021 ident: b37 article-title: Fleet and charging infrastructure decisions for fast-charging city electric bus service publication-title: Comput. Oper. Res. – volume: 143 year: 2022 ident: b66 article-title: Reinforcement learning based tabu search for the minimum load coloring problem publication-title: Comput. Oper. Res. – volume: 40 start-page: 980 year: 2013 end-page: 990 ident: b56 article-title: A hybrid genetic-variable neighborhood search algorithm for the cell formation problem based on grouping efficacy publication-title: Comput. Oper. Res. – volume: 65 start-page: 53 year: 2016 end-page: 63 ident: b24 article-title: Bi-criteria sequencing of courses and formation of classes for a bottleneck classroom publication-title: Comput. Oper. Res. – volume: 143 year: 2022 ident: b2 article-title: Bi-objective optimization for road vertical alignment design publication-title: Comput. Oper. Res. – volume: 144 year: 2022 ident: b80 article-title: Adaptive simulated annealing with greedy search for the circle bin packing problem publication-title: Comput. Oper. Res. – volume: 39 start-page: 1607 year: 2003 end-page: 1615 ident: b72 article-title: Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm publication-title: Automatica – volume: 53 start-page: 277 year: 2007 end-page: 289 ident: b78 article-title: Genetic algorithms for integrating cell formation with machine layout and scheduling publication-title: Comput. Ind. Eng. – volume: 34 start-page: 514 year: 2020 end-page: 543 ident: b53 article-title: A fuzzy multi-objective model for a cellular manufacturing system with layout designing in a dynamic condition publication-title: Int. J. Ind. Syst. Eng. – volume: 55 start-page: 1875 year: 2021 ident: b59 article-title: Integration of parts scheduling, MRP, production planning and generalized fixed-charge transportation planning in the design of a dynamic cellular manufacturing system publication-title: RAIRO: Recherche Opérationnelle – volume: 58 start-page: 6568 year: 2020 end-page: 6584 ident: b55 article-title: Scheduling flowline manufacturing cells with inter-cellular moves: non-permutation schedules and material flows in the cell scheduling problem publication-title: Int. J. Prod. Res. – volume: 169 start-page: 918 year: 2006 end-page: 931 ident: b44 article-title: Multi-objective tabu search using a multinomial probability mass function publication-title: European J. Oper. Res. – volume: 8 start-page: 162809 year: 2020 end-page: 162818 ident: b42 article-title: A hybrid GRASP algorithm for an integrated production planning and a group layout design in a dynamic cellular manufacturing system publication-title: IEEE Access – volume: 8 start-page: 156 year: 1977 end-page: 166 ident: b32 article-title: Heuristics for integer programming using surrogate constraints publication-title: Decis. Sci. – volume: 38 start-page: 173 year: 1995 end-page: 188 ident: b38 article-title: Layout design in group technology manufacturing publication-title: Int. J. Prod. Econ. – volume: 24 start-page: 834 year: 2004 end-page: 840 ident: b76 article-title: A decomposition approach to the cell formation problem with alternative process plans publication-title: Int. J. Adv. Manuf. Technol. – volume: 53 start-page: 277 year: 2007 end-page: 289 ident: b77 article-title: Genetic algorithms for integrating cell formation with machine layout and scheduling publication-title: Comput. Ind. Eng. – volume: 55 start-page: 1875 year: 2021 ident: b61 article-title: Integration of parts scheduling, MRP, production planning and generalized fixed-charge transportation planning in the design of a dynamic cellular manufacturing system publication-title: RAIRO: Recherche Opérationnelle – volume: 56 start-page: 341 year: 2020 end-page: 358 ident: b3 article-title: New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems publication-title: J. Manuf. Syst. – volume: 32 start-page: 65 year: 1993 end-page: 76 ident: b19 article-title: A multidimensional scaling algorithm for group layout in cellular manufacturing publication-title: Int. J. Prod. Econ. – volume: 61 start-page: 458 year: 2014 end-page: 471 ident: b39 article-title: Multiproduct batching and scheduling with buffered rework: The case of a car paint shop publication-title: Nav. Res. Logist. – start-page: 1904 year: 2021 end-page: 1911 ident: b40 article-title: Multi-objective tabu-based differential evolution for teleportation of smart virtual machines in private computing clouds publication-title: 2021 IEEE Congress on Evolutionary Computation – volume: 141 start-page: 639 year: 2013 end-page: 645 ident: b64 article-title: A tabu search approach for cell scheduling problem with makespan criterion publication-title: Int. J. Prod. Econ. – volume: 2 start-page: 533 year: 2011 end-page: 546 ident: b12 article-title: A new approach for cell formation and scheduling with assembly operations and product structure publication-title: Int. J. Ind. Eng. Comput. – volume: 8 start-page: 617 year: 1998 end-page: 630 ident: b23 article-title: Bicriterion single machine scheduling with resource dependent processing times publication-title: SIAM J. Optim. – start-page: 71 year: 2022 end-page: 99 ident: b13 article-title: Impacts of metaheuristic and swarm intelligence approach in optimization publication-title: Cognitive Big Data Intelligence with a Metaheuristic Approach – volume: 35 start-page: 501 year: 1997 end-page: 511 ident: b63 article-title: Application of simulated annealing to a linear model forthe formulation of machine cells ingroup technology publication-title: Int. J. Prod. Res. – volume: 48 start-page: 701 year: 2010 end-page: 717 ident: b31 article-title: Designing integrated cellular manufacturing systems with scheduling considering stochastic processing time publication-title: Int. J. Adv. Manuf. Technol. – start-page: 369 year: 2003 end-page: 444 ident: b27 article-title: Multiobjective combinatorial optimization—theory, methodology, and applications publication-title: Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys – volume: 16 start-page: 189 year: 2005 end-page: 205 ident: b71 article-title: A multiple-objective grouping genetic algorithm for the cell formation problem with alternative routings publication-title: J. Intell. Manuf. – volume: 61 start-page: 637 year: 2012 end-page: 647 ident: b7 article-title: Integrating cell formation with cellular layout and operations scheduling publication-title: Int. J. Adv. Manuf. Technol. – volume: 25 start-page: 625 year: 2012 end-page: 635 ident: b5 article-title: Multi-objective genetic algorithm for cell formation problem considering cellular layout and operations scheduling publication-title: Int. J. Comput. Integr. Manuf. – volume: 54 start-page: 923 year: 2016 end-page: 944 ident: b45 article-title: Solving cell formation and task scheduling in cellular manufacturing system by discrete bacteria foraging algorithm publication-title: Int. J. Prod. Res. – volume: 37 start-page: 2661 year: 2010 end-page: 2669 ident: b68 article-title: Design of a scatter search method for a novel multi-criteria group scheduling problem in a cellular manufacturing system publication-title: Expert Syst. Appl. – volume: 29 start-page: 533 year: 1997 end-page: 547 ident: b69 article-title: Modeling and analysis of a manufacturing cell formation problem with fuzzy mixed-integer programming publication-title: IIE Trans. – volume: 66 start-page: 438 year: 2013 end-page: 450 ident: b21 article-title: An efficient approach to determine cell formation, cell layout and intracellular machine sequence in cellular manufacturing systems publication-title: Comput. Ind. Eng. – volume: 31 start-page: 21 year: 2004 end-page: 37 ident: b18 article-title: Using penalty function and tabu search to solve cell formation problems with fixed cell cost publication-title: Comput. Oper. Res. – volume: 39 start-page: 3651 year: 2001 end-page: 3669 ident: b17 article-title: CF-GGA: a grouping genetic algorithm for the cell formation problem publication-title: Int. J. Prod. Res. – volume: 125 year: 2021 ident: b49 article-title: A metaheuristic based on Tabu search for solving a technician routing and scheduling problem publication-title: Comput. Oper. Res. – volume: 13 start-page: 567 year: 1975 end-page: 579 ident: b58 article-title: Design of cellular production systems a graph-theoretic approach publication-title: Int. J. Prod. Res. – volume: 3 start-page: 119 year: 2008 end-page: 130 ident: b67 article-title: A genetic algorithm and memetic algorithm to sequencing and scheduling of cellular manufacturing systems publication-title: Int. J. Manag. Sci. Eng. Manag. – start-page: 23 year: 2004 end-page: 30 ident: b62 article-title: Dominance measures for multi-objective simulated annealing publication-title: Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No. 04TH8753), Vol. 1 – volume: 157 year: 2021 ident: b79 article-title: A multi-objective scheduling method for distributed and flexible job shop based on hybrid genetic algorithm and tabu search considering operation outsourcing and carbon emission publication-title: Comput. Ind. Eng. – volume: 146 year: 2022 ident: b43 article-title: A novel constraint programming and simulated annealing for disassembly line balancing problem with AND/OR precedence and sequence dependent setup times publication-title: Comput. Oper. Res. – start-page: 1207 year: 2021 end-page: 1212 ident: b73 article-title: Multi-factory cellular manufacturing cell formation and product scheduling via genetic algorithm publication-title: 2021 IEEE 17th International Conference on Automation Science and Engineering – volume: 51 start-page: 257 year: 2000 end-page: 271 ident: b25 article-title: Grouping genetic algorithms: an efficient method to solve the cell formation problem publication-title: Math. Comput. Simulation – volume: 29 start-page: 3686 year: 2021 end-page: 3695 ident: b35 article-title: Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors publication-title: IEEE Trans. Fuzzy Syst. – year: 2008 ident: b22 article-title: Multiobjective Decision Making: Theory and Methodology – volume: 9 start-page: 982 year: 2016 ident: b47 article-title: Advanced Pareto front non-dominated sorting multi-objective particle swarm optimization for optimal placement and sizing of distributed generation publication-title: Energies – start-page: 1 year: 2021 ident: b36 article-title: Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors publication-title: IEEE Trans. Fuzzy Syst. – volume: 58 start-page: 6568 year: 2020 end-page: 6584 ident: b54 article-title: Scheduling flowline manufacturing cells with inter-cellular moves: non-permutation schedules and material flows in the cell scheduling problem publication-title: Int. J. Prod. Res. – volume: 143 year: 2020 ident: b57 article-title: A vibration damping optimization algorithm for the integrated problem of cell formation, cellular scheduling, and intercellular layout publication-title: Comput. Ind. Eng. – volume: 61 start-page: 637 year: 2012 end-page: 647 ident: b8 article-title: Integrating cell formation with cellular layout and operations scheduling publication-title: Int. J. Adv. Manuf. Technol. – volume: 21 start-page: 61 year: 2010 end-page: 70 ident: b46 article-title: A mathematical model for integrating cell formation problem with machine layout publication-title: Int. J. Ind. Eng. Prod. Res. – volume: 91 start-page: 10 year: 2016 end-page: 29 ident: b14 article-title: A comprehensive mathematical model for dynamic cellular manufacturing system design and linear programming embedded hybrid solution techniques publication-title: Comput. Ind. Eng. – volume: 45 start-page: 1355 year: 2007 end-page: 1367 ident: b65 article-title: Manufacturing cell design with alternative routings in generalized group technology: reducing the complexity of the solution space publication-title: Int. J. Prod. Res. – year: 2018 ident: b48 article-title: Multicriteria analysis – volume: 76 start-page: 219 year: 2002 end-page: 228 ident: b70 article-title: Grouping of parts and machines in presence of alternative process routes by genetic algorithm publication-title: Int. J. Prod. Econ. – volume: 34 start-page: 162 year: 2021 end-page: 170 ident: b10 article-title: Reactive scheduling addressing unexpected disturbance in cellular manufacturing systems publication-title: Int. J. Eng. – volume: 41 start-page: 227 year: 2001 end-page: 240 ident: b1 article-title: Machine cell formation in generalized group technology publication-title: Comput. Ind. Eng. – start-page: 519 year: 2003 end-page: 537 ident: b34 article-title: Scatter search publication-title: Advances in Evolutionary Computing – volume: 21 start-page: 416 year: 1990 end-page: 433 ident: b75 article-title: An optimal model for cell formation decisions publication-title: Decis. Sci. – volume: 25 start-page: 625 year: 2012 end-page: 635 ident: b4 article-title: Multi-objective genetic algorithm for cell formation problem considering cellular layout and operations scheduling publication-title: Int. J. Comput. Integr. Manuf. – volume: 194 start-page: 39 year: 2009 end-page: 50 ident: b16 article-title: An exact -constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman problem with profits publication-title: European J. Oper. Res. – year: 2012 ident: b52 article-title: Nonlinear Multiobjective Optimization, Vol. 12 – volume: 135 year: 2021 ident: b74 article-title: A two-phase intensification tabu search algorithm for the maximum min-sum dispersion problem publication-title: Comput. Oper. Res. – volume: 97 year: 2020 ident: b30 article-title: Joint cell formation, cell scheduling, and group layout problem in virtual and classical cellular manufacturing systems publication-title: Appl. Soft Comput. – volume: 55 start-page: 1875 year: 2021 ident: b60 article-title: Integration of parts scheduling, MRP, production planning and generalized fixed-charge transportation planning in the design of a dynamic cellular manufacturing system publication-title: RAIRO: Recherche Opérationnelle – volume: 61 start-page: 637 year: 2012 end-page: 647 ident: b6 article-title: Integrating cell formation with cellular layout and operations scheduling publication-title: Int. J. Adv. Manuf. Technol. – volume: 34 start-page: 162 year: 2021 end-page: 170 ident: b9 article-title: Reactive scheduling addressing unexpected disturbance in cellular manufacturing systems publication-title: Int. J. Eng. – volume: 1 start-page: 190 year: 1989 end-page: 206 ident: b33 article-title: Tabu search—part I publication-title: ORSA J. Comput. – year: 1999 ident: b51 article-title: NOnlinear Multiobjective Optimization – year: 2022 ident: b28 article-title: Multi-objective optimization of the 3D container stowage planning problem in a barge convoy system publication-title: Comput. Oper. Res. – volume: 61 start-page: 171 year: 2011 end-page: 178 ident: b29 article-title: A simulated annealing algorithm for the job shop cell scheduling problem with intercellular moves and reentrant parts publication-title: Comput. Ind. Eng. – start-page: 1 year: 2020 end-page: 7 ident: b11 article-title: Recent development in virtual cellular manufacturing system publication-title: Recent Advances in Mechanical Engineering – volume: 132 year: 2021 ident: b15 article-title: Two-stage multi-neighborhood simulated annealing for uncapacitated examination timetabling publication-title: Comput. Oper. Res. – volume: 127 year: 2021 ident: b20 article-title: Parallel iterative solution-based tabu search for the obnoxious p-median problem publication-title: Comput. Oper. Res. – volume: 47 start-page: 11 year: 2014 end-page: 26 ident: b41 article-title: Path-relinking Tabu search for the multi-objective flexible job shop scheduling problem publication-title: Comput. Oper. Res. – volume: 37 start-page: 1 year: 2020 end-page: 26 ident: b50 article-title: An integrated mathematical programming model for a dynamic cellular manufacturing system with limited resources publication-title: Int. J. Serv. Oper. Manag. – start-page: 1 year: 2020 ident: 10.1016/j.cor.2022.106090_b11 article-title: Recent development in virtual cellular manufacturing system – start-page: 1904 year: 2021 ident: 10.1016/j.cor.2022.106090_b40 article-title: Multi-objective tabu-based differential evolution for teleportation of smart virtual machines in private computing clouds – start-page: 369 year: 2003 ident: 10.1016/j.cor.2022.106090_b27 article-title: Multiobjective combinatorial optimization—theory, methodology, and applications – volume: 127 year: 2021 ident: 10.1016/j.cor.2022.106090_b20 article-title: Parallel iterative solution-based tabu search for the obnoxious p-median problem publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2020.105155 – volume: 35 start-page: 501 issue: 2 year: 1997 ident: 10.1016/j.cor.2022.106090_b63 article-title: Application of simulated annealing to a linear model forthe formulation of machine cells ingroup technology publication-title: Int. J. Prod. Res. doi: 10.1080/002075497195876 – volume: 61 start-page: 458 issue: 6 year: 2014 ident: 10.1016/j.cor.2022.106090_b39 article-title: Multiproduct batching and scheduling with buffered rework: The case of a car paint shop publication-title: Nav. Res. Logist. doi: 10.1002/nav.21596 – volume: 8 start-page: 162809 year: 2020 ident: 10.1016/j.cor.2022.106090_b42 article-title: A hybrid GRASP algorithm for an integrated production planning and a group layout design in a dynamic cellular manufacturing system publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3018505 – start-page: 23 year: 2004 ident: 10.1016/j.cor.2022.106090_b62 article-title: Dominance measures for multi-objective simulated annealing – volume: 21 start-page: 416 issue: 2 year: 1990 ident: 10.1016/j.cor.2022.106090_b75 article-title: An optimal model for cell formation decisions publication-title: Decis. Sci. doi: 10.1111/j.1540-5915.1990.tb01694.x – volume: 29 start-page: 3686 issue: 12 year: 2021 ident: 10.1016/j.cor.2022.106090_b35 article-title: Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2021.3053838 – volume: 34 start-page: 162 issue: 1 year: 2021 ident: 10.1016/j.cor.2022.106090_b9 article-title: Reactive scheduling addressing unexpected disturbance in cellular manufacturing systems publication-title: Int. J. Eng. – volume: 39 start-page: 3651 issue: 16 year: 2001 ident: 10.1016/j.cor.2022.106090_b17 article-title: CF-GGA: a grouping genetic algorithm for the cell formation problem publication-title: Int. J. Prod. Res. doi: 10.1080/00207540110068781 – volume: 3 start-page: 119 issue: 2 year: 2008 ident: 10.1016/j.cor.2022.106090_b67 article-title: A genetic algorithm and memetic algorithm to sequencing and scheduling of cellular manufacturing systems publication-title: Int. J. Manag. Sci. Eng. Manag. – volume: 61 start-page: 171 issue: 1 year: 2011 ident: 10.1016/j.cor.2022.106090_b29 article-title: A simulated annealing algorithm for the job shop cell scheduling problem with intercellular moves and reentrant parts publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2011.03.007 – volume: 1 start-page: 190 issue: 3 year: 1989 ident: 10.1016/j.cor.2022.106090_b33 article-title: Tabu search—part I publication-title: ORSA J. Comput. doi: 10.1287/ijoc.1.3.190 – volume: 61 start-page: 637 issue: 5–8 year: 2012 ident: 10.1016/j.cor.2022.106090_b6 article-title: Integrating cell formation with cellular layout and operations scheduling publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-011-3733-4 – year: 2008 ident: 10.1016/j.cor.2022.106090_b22 – volume: 34 start-page: 514 issue: 4 year: 2020 ident: 10.1016/j.cor.2022.106090_b53 article-title: A fuzzy multi-objective model for a cellular manufacturing system with layout designing in a dynamic condition publication-title: Int. J. Ind. Syst. Eng. – volume: 76 start-page: 219 issue: 3 year: 2002 ident: 10.1016/j.cor.2022.106090_b70 article-title: Grouping of parts and machines in presence of alternative process routes by genetic algorithm publication-title: Int. J. Prod. Econ. doi: 10.1016/S0925-5273(01)00164-5 – volume: 16 start-page: 189 issue: 2 year: 2005 ident: 10.1016/j.cor.2022.106090_b71 article-title: A multiple-objective grouping genetic algorithm for the cell formation problem with alternative routings publication-title: J. Intell. Manuf. doi: 10.1007/s10845-004-5888-4 – volume: 61 start-page: 637 issue: 5 year: 2012 ident: 10.1016/j.cor.2022.106090_b8 article-title: Integrating cell formation with cellular layout and operations scheduling publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-011-3733-4 – volume: 39 start-page: 1607 issue: 9 year: 2003 ident: 10.1016/j.cor.2022.106090_b72 article-title: Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm publication-title: Automatica doi: 10.1016/S0005-1098(03)00150-X – volume: 143 year: 2022 ident: 10.1016/j.cor.2022.106090_b2 article-title: Bi-objective optimization for road vertical alignment design publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2022.105764 – volume: 40 start-page: 980 issue: 4 year: 2013 ident: 10.1016/j.cor.2022.106090_b56 article-title: A hybrid genetic-variable neighborhood search algorithm for the cell formation problem based on grouping efficacy publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2012.10.016 – volume: 25 start-page: 625 issue: 7 year: 2012 ident: 10.1016/j.cor.2022.106090_b4 article-title: Multi-objective genetic algorithm for cell formation problem considering cellular layout and operations scheduling publication-title: Int. J. Comput. Integr. Manuf. doi: 10.1080/0951192X.2012.665182 – volume: 97 year: 2020 ident: 10.1016/j.cor.2022.106090_b30 article-title: Joint cell formation, cell scheduling, and group layout problem in virtual and classical cellular manufacturing systems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2020.106719 – volume: 143 year: 2022 ident: 10.1016/j.cor.2022.106090_b66 article-title: Reinforcement learning based tabu search for the minimum load coloring problem publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2022.105745 – volume: 2 start-page: 533 issue: 3 year: 2011 ident: 10.1016/j.cor.2022.106090_b12 article-title: A new approach for cell formation and scheduling with assembly operations and product structure publication-title: Int. J. Ind. Eng. Comput. – volume: 8 start-page: 617 issue: 2 year: 1998 ident: 10.1016/j.cor.2022.106090_b23 article-title: Bicriterion single machine scheduling with resource dependent processing times publication-title: SIAM J. Optim. doi: 10.1137/S1052623495288192 – volume: 9 start-page: 982 issue: 12 year: 2016 ident: 10.1016/j.cor.2022.106090_b47 article-title: Advanced Pareto front non-dominated sorting multi-objective particle swarm optimization for optimal placement and sizing of distributed generation publication-title: Energies doi: 10.3390/en9120982 – volume: 8 start-page: 156 issue: 1 year: 1977 ident: 10.1016/j.cor.2022.106090_b32 article-title: Heuristics for integer programming using surrogate constraints publication-title: Decis. Sci. doi: 10.1111/j.1540-5915.1977.tb01074.x – volume: 146 year: 2022 ident: 10.1016/j.cor.2022.106090_b43 article-title: A novel constraint programming and simulated annealing for disassembly line balancing problem with AND/OR precedence and sequence dependent setup times publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2022.105915 – volume: 65 start-page: 53 year: 2016 ident: 10.1016/j.cor.2022.106090_b24 article-title: Bi-criteria sequencing of courses and formation of classes for a bottleneck classroom publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2015.06.010 – volume: 37 start-page: 2661 issue: 3 year: 2010 ident: 10.1016/j.cor.2022.106090_b68 article-title: Design of a scatter search method for a novel multi-criteria group scheduling problem in a cellular manufacturing system publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2009.08.012 – volume: 61 start-page: 637 issue: 5 year: 2012 ident: 10.1016/j.cor.2022.106090_b7 article-title: Integrating cell formation with cellular layout and operations scheduling publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-011-3733-4 – volume: 21 start-page: 61 issue: 2 year: 2010 ident: 10.1016/j.cor.2022.106090_b46 article-title: A mathematical model for integrating cell formation problem with machine layout publication-title: Int. J. Ind. Eng. Prod. Res. – volume: 55 start-page: 1875 year: 2021 ident: 10.1016/j.cor.2022.106090_b59 article-title: Integration of parts scheduling, MRP, production planning and generalized fixed-charge transportation planning in the design of a dynamic cellular manufacturing system publication-title: RAIRO: Recherche Opérationnelle doi: 10.1051/ro/2020062 – volume: 135 year: 2021 ident: 10.1016/j.cor.2022.106090_b74 article-title: A two-phase intensification tabu search algorithm for the maximum min-sum dispersion problem publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2021.105427 – year: 2018 ident: 10.1016/j.cor.2022.106090_b48 – volume: 34 start-page: 162 issue: 1 year: 2021 ident: 10.1016/j.cor.2022.106090_b10 article-title: Reactive scheduling addressing unexpected disturbance in cellular manufacturing systems publication-title: Int. J. Eng. – volume: 58 start-page: 6568 issue: 21 year: 2020 ident: 10.1016/j.cor.2022.106090_b55 article-title: Scheduling flowline manufacturing cells with inter-cellular moves: non-permutation schedules and material flows in the cell scheduling problem publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2019.1683251 – volume: 32 start-page: 65 issue: 1 year: 1993 ident: 10.1016/j.cor.2022.106090_b19 article-title: A multidimensional scaling algorithm for group layout in cellular manufacturing publication-title: Int. J. Prod. Econ. doi: 10.1016/0925-5273(93)90008-9 – volume: 169 start-page: 918 issue: 3 year: 2006 ident: 10.1016/j.cor.2022.106090_b44 article-title: Multi-objective tabu search using a multinomial probability mass function publication-title: European J. Oper. Res. doi: 10.1016/j.ejor.2004.08.026 – volume: 91 start-page: 10 year: 2016 ident: 10.1016/j.cor.2022.106090_b14 article-title: A comprehensive mathematical model for dynamic cellular manufacturing system design and linear programming embedded hybrid solution techniques publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2015.10.014 – volume: 54 start-page: 923 issue: 3 year: 2016 ident: 10.1016/j.cor.2022.106090_b45 article-title: Solving cell formation and task scheduling in cellular manufacturing system by discrete bacteria foraging algorithm publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2015.1113328 – year: 1999 ident: 10.1016/j.cor.2022.106090_b51 – volume: 125 year: 2021 ident: 10.1016/j.cor.2022.106090_b49 article-title: A metaheuristic based on Tabu search for solving a technician routing and scheduling problem publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2020.105079 – volume: 132 year: 2021 ident: 10.1016/j.cor.2022.106090_b15 article-title: Two-stage multi-neighborhood simulated annealing for uncapacitated examination timetabling publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2021.105300 – volume: 194 start-page: 39 issue: 1 year: 2009 ident: 10.1016/j.cor.2022.106090_b16 article-title: An exact -constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman problem with profits publication-title: European J. Oper. Res. doi: 10.1016/j.ejor.2007.12.014 – volume: 143 year: 2020 ident: 10.1016/j.cor.2022.106090_b57 article-title: A vibration damping optimization algorithm for the integrated problem of cell formation, cellular scheduling, and intercellular layout publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2020.106439 – volume: 38 start-page: 173 issue: 2–3 year: 1995 ident: 10.1016/j.cor.2022.106090_b38 article-title: Layout design in group technology manufacturing publication-title: Int. J. Prod. Econ. doi: 10.1016/0925-5273(94)00090-W – volume: 51 start-page: 257 issue: 3–4 year: 2000 ident: 10.1016/j.cor.2022.106090_b25 article-title: Grouping genetic algorithms: an efficient method to solve the cell formation problem publication-title: Math. Comput. Simulation doi: 10.1016/S0378-4754(99)00122-6 – volume: 41 start-page: 227 issue: 2 year: 2001 ident: 10.1016/j.cor.2022.106090_b1 article-title: Machine cell formation in generalized group technology publication-title: Comput. Ind. Eng. doi: 10.1016/S0360-8352(01)00056-0 – year: 2012 ident: 10.1016/j.cor.2022.106090_b52 – volume: 45 start-page: 1355 issue: 6 year: 2007 ident: 10.1016/j.cor.2022.106090_b65 article-title: Manufacturing cell design with alternative routings in generalized group technology: reducing the complexity of the solution space publication-title: Int. J. Prod. Res. doi: 10.1080/00207540600719674 – volume: 157 year: 2021 ident: 10.1016/j.cor.2022.106090_b79 article-title: A multi-objective scheduling method for distributed and flexible job shop based on hybrid genetic algorithm and tabu search considering operation outsourcing and carbon emission publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2021.107318 – volume: 48 start-page: 701 issue: 5–8 year: 2010 ident: 10.1016/j.cor.2022.106090_b31 article-title: Designing integrated cellular manufacturing systems with scheduling considering stochastic processing time publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-009-2322-2 – volume: 47 start-page: 11 year: 2014 ident: 10.1016/j.cor.2022.106090_b41 article-title: Path-relinking Tabu search for the multi-objective flexible job shop scheduling problem publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2014.01.010 – volume: 58 start-page: 6568 issue: 21 year: 2020 ident: 10.1016/j.cor.2022.106090_b54 article-title: Scheduling flowline manufacturing cells with inter-cellular moves: non-permutation schedules and material flows in the cell scheduling problem publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2019.1683251 – volume: 24 start-page: 834 issue: 11 year: 2004 ident: 10.1016/j.cor.2022.106090_b76 article-title: A decomposition approach to the cell formation problem with alternative process plans publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-003-1749-0 – volume: 5 start-page: 1 issue: 1 year: 2016 ident: 10.1016/j.cor.2022.106090_b26 article-title: Solving a mathematical model integrating unequal-area facilities layout and part scheduling in a cellular manufacturing system by a genetic algorithm publication-title: SpringerPlus doi: 10.1186/s40064-016-2773-5 – volume: 55 start-page: 1875 year: 2021 ident: 10.1016/j.cor.2022.106090_b60 article-title: Integration of parts scheduling, MRP, production planning and generalized fixed-charge transportation planning in the design of a dynamic cellular manufacturing system publication-title: RAIRO: Recherche Opérationnelle doi: 10.1051/ro/2020062 – volume: 13 start-page: 567 issue: 6 year: 1975 ident: 10.1016/j.cor.2022.106090_b58 article-title: Design of cellular production systems a graph-theoretic approach publication-title: Int. J. Prod. Res. doi: 10.1080/00207547508943029 – volume: 141 start-page: 639 issue: 2 year: 2013 ident: 10.1016/j.cor.2022.106090_b64 article-title: A tabu search approach for cell scheduling problem with makespan criterion publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2012.10.001 – start-page: 1 year: 2021 ident: 10.1016/j.cor.2022.106090_b36 article-title: Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors publication-title: IEEE Trans. Fuzzy Syst. – year: 2022 ident: 10.1016/j.cor.2022.106090_b28 article-title: Multi-objective optimization of the 3D container stowage planning problem in a barge convoy system publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2022.105796 – volume: 31 start-page: 21 issue: 1 year: 2004 ident: 10.1016/j.cor.2022.106090_b18 article-title: Using penalty function and tabu search to solve cell formation problems with fixed cell cost publication-title: Comput. Oper. Res. doi: 10.1016/S0305-0548(02)00144-2 – volume: 29 start-page: 533 issue: 7 year: 1997 ident: 10.1016/j.cor.2022.106090_b69 article-title: Modeling and analysis of a manufacturing cell formation problem with fuzzy mixed-integer programming publication-title: IIE Trans. doi: 10.1080/07408179708966364 – volume: 53 start-page: 277 issue: 2 year: 2007 ident: 10.1016/j.cor.2022.106090_b77 article-title: Genetic algorithms for integrating cell formation with machine layout and scheduling publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2007.06.021 – volume: 37 start-page: 1 issue: 1 year: 2020 ident: 10.1016/j.cor.2022.106090_b50 article-title: An integrated mathematical programming model for a dynamic cellular manufacturing system with limited resources publication-title: Int. J. Serv. Oper. Manag. – volume: 66 start-page: 438 issue: 2 year: 2013 ident: 10.1016/j.cor.2022.106090_b21 article-title: An efficient approach to determine cell formation, cell layout and intracellular machine sequence in cellular manufacturing systems publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2013.07.009 – volume: 53 start-page: 277 issue: 2 year: 2007 ident: 10.1016/j.cor.2022.106090_b78 article-title: Genetic algorithms for integrating cell formation with machine layout and scheduling publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2007.06.021 – volume: 144 year: 2022 ident: 10.1016/j.cor.2022.106090_b80 article-title: Adaptive simulated annealing with greedy search for the circle bin packing problem publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2022.105826 – volume: 25 start-page: 625 issue: 7 year: 2012 ident: 10.1016/j.cor.2022.106090_b5 article-title: Multi-objective genetic algorithm for cell formation problem considering cellular layout and operations scheduling publication-title: Int. J. Comput. Integr. Manuf. doi: 10.1080/0951192X.2012.665182 – start-page: 1207 year: 2021 ident: 10.1016/j.cor.2022.106090_b73 article-title: Multi-factory cellular manufacturing cell formation and product scheduling via genetic algorithm – start-page: 71 year: 2022 ident: 10.1016/j.cor.2022.106090_b13 article-title: Impacts of metaheuristic and swarm intelligence approach in optimization – volume: 56 start-page: 341 year: 2020 ident: 10.1016/j.cor.2022.106090_b3 article-title: New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems publication-title: J. Manuf. Syst. doi: 10.1016/j.jmsy.2020.06.011 – volume: 55 start-page: 1875 year: 2021 ident: 10.1016/j.cor.2022.106090_b61 article-title: Integration of parts scheduling, MRP, production planning and generalized fixed-charge transportation planning in the design of a dynamic cellular manufacturing system publication-title: RAIRO: Recherche Opérationnelle doi: 10.1051/ro/2020062 – start-page: 519 year: 2003 ident: 10.1016/j.cor.2022.106090_b34 article-title: Scatter search – volume: 135 year: 2021 ident: 10.1016/j.cor.2022.106090_b37 article-title: Fleet and charging infrastructure decisions for fast-charging city electric bus service publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2021.105449 |
| SSID | ssj0000721 |
| Score | 2.5035388 |
| Snippet | Different industries compete to attract customers in different ways. In the field of production, group technology (GT) is defined by identifying and grouping... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 106090 |
| SubjectTerms | Cell formation Cellular manufacturing system Group layout Group scheduling Group technology Multi-objective linear programming |
| Title | A multi-objective linear programming model for scheduling part families and designing a group layout in cellular manufacturing systems |
| URI | https://dx.doi.org/10.1016/j.cor.2022.106090 |
| Volume | 151 |
| WOSCitedRecordID | wos000900086600019&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1873-765X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000721 issn: 0305-0548 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bi9NAFB5qV0QfvFTF9cY8-GSJTJOZJvMYlhUVXERWKL6EmWRCW7JJ6Y3uH_CP-cc8c0u61RX3wZdQQjJNer7mXPJ95yD0ZhQSSpkiARecBLRIykAqxYKojASXPMqlKMywifjsLJlM-Jde76fXwmyruK6T3Y4v_qupYR8YW0tnb2DudlHYAZ_B6LAFs8P2nwyfWpJg0Mi5fZgNdSSpO1pbKtaFLg6YATiGYgjZLXgbK0qH1WzFA9Jn81ahMPwOo2McGv3HsBKXmsms2euqqgyH9ULUG62PsILH1V4LdN8BwU2OWBmcNQu1dPw712morUh_btZiKqz2_atYNU1L_0grsZ2Vlgz-Xc1qSMildrtt3Vss1VSzM8Xy0pZ0Uwl3VXXV7pPpbLGpNlaftNMly_2CRxh1jC8v9NJ8Q2YbdLYPcde21j6GIc8ldgrpbx7CFivmYGDdDTYM33XHXu3GfeAlW-6ip8XNM1gi00tkdolb6CiMGU_66Cj9eDr51AUEsZH_tdftX64bmuHBdfw5PNoLec4fovsuV8Gpxdgj1FP1AN3xUokBeuANi52HGKB7e_0tH6MfKT7AIrZYxHtYxAaLGLCIOyxijUXssYgBi7jFIhbYYBFbLOJZjT0W8RUsYofFJ-jb-9Pzkw-BG_wR5BEl60CJcUyY5CELSxGVbFwImuTjYswLSuWYKFLGXOhgsxBJSFkUykLmo1gW4GEoE9FT1K-bWj1DOC7piAg9JBUSfyKJYPGoKLhMwjgpuWDHiPjfO8tdV3w9nKXKrrXzMXrbnrKwLWH-djD1RsxcTGtj1QwAef1pz2_yHS_Q3e5_8hL118uNeoVu59v1bLV87dD4C4-zyTo |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+multi-objective+linear+programming+model+for+scheduling+part+families+and+designing+a+group+layout+in+cellular+manufacturing+systems&rft.jtitle=Computers+%26+operations+research&rft.au=Motahari%2C+Rasool&rft.au=Alavifar%2C+Zeinolabedin&rft.au=Zareh+Andaryan%2C+Abdullah&rft.au=Chipulu%2C+Maxwell&rft.date=2023-03-01&rft.issn=0305-0548&rft.volume=151&rft.spage=106090&rft_id=info:doi/10.1016%2Fj.cor.2022.106090&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_cor_2022_106090 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0305-0548&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0305-0548&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0305-0548&client=summon |