Integrated forward and reverse logistics network design for a hybrid assembly-recycling system under uncertain return and waste flows: A fuzzy multi-objective programming
This paper addresses the optimal design of a hybrid assembly-recycling network that simultaneously integrates the forward and reverse logistics among its multi-product multi-echelon superstructure. Multiple sources of raw materials including components and parts are considered at different stages of...
Uložené v:
| Vydané v: | Journal of cleaner production Ročník 243; s. 118591 |
|---|---|
| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier Ltd
10.01.2020
|
| Predmet: | |
| ISSN: | 0959-6526, 1879-1786 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | This paper addresses the optimal design of a hybrid assembly-recycling network that simultaneously integrates the forward and reverse logistics among its multi-product multi-echelon superstructure. Multiple sources of raw materials including components and parts are considered at different stages of the forward assembly process. The problem investigates three recycling options for final products, semi-products and modules. Various types of uncertainties on return flow and waste flow are investigated. To optimize the dual-system superstructure, the problem is hereby modeled by a fuzzy mixed integer linear programming approach. Piecewise linear membership functions are constructed for the objectives to represent the diversified satisfactory degrees which preferably comply with the real-world decision scenarios. Further, an interactive fuzzy optimization approach is developed to solve the problem by differentiating the piece-wise sections of satisfactory degrees. Finally, an electronic assembly plant with its own recycling process is chosen as the industrial case to implement the proposed approach. Sensitivity analysis and comparison under different scenarios are presented to demonstrate the effectiveness on obtaining compromised solutions under diversified satisfactory degrees in such an uncertain environment.
•A hybrid assembly-recycling network with multiple recycling options is designed.•The uncertainties of return and waste flows are simultaneously considered.•A multi-echelon model for optimizing forward and reverse logistics is proposed.•An interactive fuzzy optimization approach with piece-wise membership is developed. |
|---|---|
| AbstractList | This paper addresses the optimal design of a hybrid assembly-recycling network that simultaneously integrates the forward and reverse logistics among its multi-product multi-echelon superstructure. Multiple sources of raw materials including components and parts are considered at different stages of the forward assembly process. The problem investigates three recycling options for final products, semi-products and modules. Various types of uncertainties on return flow and waste flow are investigated. To optimize the dual-system superstructure, the problem is hereby modeled by a fuzzy mixed integer linear programming approach. Piecewise linear membership functions are constructed for the objectives to represent the diversified satisfactory degrees which preferably comply with the real-world decision scenarios. Further, an interactive fuzzy optimization approach is developed to solve the problem by differentiating the piece-wise sections of satisfactory degrees. Finally, an electronic assembly plant with its own recycling process is chosen as the industrial case to implement the proposed approach. Sensitivity analysis and comparison under different scenarios are presented to demonstrate the effectiveness on obtaining compromised solutions under diversified satisfactory degrees in such an uncertain environment.
•A hybrid assembly-recycling network with multiple recycling options is designed.•The uncertainties of return and waste flows are simultaneously considered.•A multi-echelon model for optimizing forward and reverse logistics is proposed.•An interactive fuzzy optimization approach with piece-wise membership is developed. This paper addresses the optimal design of a hybrid assembly-recycling network that simultaneously integrates the forward and reverse logistics among its multi-product multi-echelon superstructure. Multiple sources of raw materials including components and parts are considered at different stages of the forward assembly process. The problem investigates three recycling options for final products, semi-products and modules. Various types of uncertainties on return flow and waste flow are investigated. To optimize the dual-system superstructure, the problem is hereby modeled by a fuzzy mixed integer linear programming approach. Piecewise linear membership functions are constructed for the objectives to represent the diversified satisfactory degrees which preferably comply with the real-world decision scenarios. Further, an interactive fuzzy optimization approach is developed to solve the problem by differentiating the piece-wise sections of satisfactory degrees. Finally, an electronic assembly plant with its own recycling process is chosen as the industrial case to implement the proposed approach. Sensitivity analysis and comparison under different scenarios are presented to demonstrate the effectiveness on obtaining compromised solutions under diversified satisfactory degrees in such an uncertain environment. |
| ArticleNumber | 118591 |
| Author | Wang, Yue Xie, Lei Su, Hongye Zhu, Li Lu, Shan |
| Author_xml | – sequence: 1 givenname: Shan surname: Lu fullname: Lu, Shan email: lushan@szpt.edu.cn organization: Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China – sequence: 2 givenname: Li surname: Zhu fullname: Zhu, Li organization: Department of Control Science and Engineering, Dalian University of Technology, Dalian, China – sequence: 3 givenname: Yue surname: Wang fullname: Wang, Yue organization: School of Information and Control Engineering, Liaoning Shihua University, Fushun, China – sequence: 4 givenname: Lei surname: Xie fullname: Xie, Lei organization: State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China – sequence: 5 givenname: Hongye surname: Su fullname: Su, Hongye organization: State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China |
| BookMark | eNqFkc1u1DAUhS3USkx_HgHJSzYZ7MT5gwWqqgKVKrGha8u5vhkcHLvYzozSR-Ip8TBdsenmenO-c6_PuSBnzjsk5B1nW85482HaTmDxKfhtyXi_5byre_6GbHjX9gVvu-aMbFhf90VTl81bchHjxBhvWSs25M-9S7gLKqGmow8HFTRVTtOAewwRqfU7E5OBSB2mgw-_qMZodu4opor-XIdgMhEjzoNdi4CwgjVuR-MaE850cRpDnoAhKeOyb1qC-7fioLKCjtYf4kd6Q8fl-Xml82KTKfwwISSzR5p_la-b52x5Rc5HZSNev7yX5PHL3Y_bb8XD96_3tzcPBVSiTEUj6hZ51TVCsLHvYBCiAw2oy0GzGkG0re6Bl6LSCkQNUALoUbWKlwMTqKtL8v7km3f_XjAmOZsIaK1y6Jcoy6qqeVU3vcjS-iSF4GMMOMqnYGYVVsmZPHYjJ_nSjTx2I0_dZO7TfxyYpJLxLgVl7Kv05xONOYW9wSAjGMwRa5PzT1J784rDX8Jytr0 |
| CitedBy_id | crossref_primary_10_1007_s12063_023_00396_7 crossref_primary_10_15446_dyna_v90n228_108240 crossref_primary_10_1016_j_aei_2022_101848 crossref_primary_10_1016_j_jclepro_2024_143418 crossref_primary_10_1155_2022_1965157 crossref_primary_10_1016_j_aei_2020_101223 crossref_primary_10_1016_j_jclepro_2021_128577 crossref_primary_10_1016_j_cie_2021_107828 crossref_primary_10_2478_mspe_2022_0041 crossref_primary_10_3390_su17031037 crossref_primary_10_3390_app15116056 crossref_primary_10_1016_j_asoc_2025_113503 crossref_primary_10_1016_j_jclepro_2019_119737 crossref_primary_10_3390_buildings13112802 crossref_primary_10_3390_su13116497 crossref_primary_10_1007_s11356_021_13404_9 crossref_primary_10_1016_j_jclepro_2020_122405 crossref_primary_10_1016_j_engappai_2024_108578 crossref_primary_10_1016_j_jclepro_2021_129813 crossref_primary_10_1016_j_jclepro_2020_124020 crossref_primary_10_1177_03611981231225431 crossref_primary_10_1016_j_cie_2021_107719 crossref_primary_10_1007_s10098_025_03248_z crossref_primary_10_1016_j_jclepro_2021_127165 crossref_primary_10_1007_s12652_021_02975_7 crossref_primary_10_1016_j_ijpe_2022_108606 crossref_primary_10_1080_13675567_2021_1993159 crossref_primary_10_3390_pr10050904 crossref_primary_10_1016_j_eswa_2024_125262 crossref_primary_10_1016_j_jclepro_2023_137314 crossref_primary_10_1016_j_scs_2023_104807 crossref_primary_10_1016_j_eswa_2020_113906 |
| Cites_doi | 10.1016/j.tre.2008.08.002 10.1080/00207543.2018.1461272 10.1016/j.eswa.2011.12.056 10.1016/j.cie.2017.09.040 10.1016/j.ijpe.2017.03.010 10.1016/j.eswa.2017.09.039 10.1016/j.cie.2016.09.016 10.1016/j.jmsy.2015.01.005 10.1016/j.jmsy.2014.07.007 10.1016/j.fss.2017.03.019 10.1016/j.cie.2017.04.038 10.1016/j.cie.2011.12.030 10.1016/j.ejor.2015.12.052 10.1016/j.ejor.2009.01.026 10.1016/j.jclepro.2018.06.034 10.1016/j.ijpe.2016.07.023 10.1016/j.jclepro.2015.06.147 10.1016/j.resconrec.2015.12.011 10.1016/j.ejor.2014.07.012 10.1007/s13243-018-0061-y 10.1016/j.apm.2009.06.021 10.1016/j.ijpe.2008.02.020 10.1016/j.resconrec.2018.07.018 10.1016/j.ejor.2009.09.008 10.1016/j.cie.2014.11.020 10.1109/TFUZZ.2011.2114668 10.1016/j.jclepro.2017.01.166 10.1016/j.cie.2018.09.022 10.1016/j.jclepro.2016.03.126 10.1016/j.ijpe.2013.04.002 10.1016/j.jclepro.2013.06.046 10.1016/j.tre.2015.12.010 10.1287/opre.1070.0441 10.1016/j.ins.2010.10.019 10.1080/00207543.2017.1384078 10.1080/00207543.2015.1083625 10.1016/0377-2217(95)00008-9 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier Ltd |
| Copyright_xml | – notice: 2019 Elsevier Ltd |
| DBID | AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.jclepro.2019.118591 |
| DatabaseName | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1879-1786 |
| ExternalDocumentID | 10_1016_j_jclepro_2019_118591 S0959652619334614 |
| GroupedDBID | --K --M ..I .~1 0R~ 1B1 1RT 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JM 9JN AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARJD AAXUO ABFYP ABJNI ABLST ABMAC ABYKQ ACDAQ ACGFS ACRLP ADBBV ADEZE AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AHIDL AIEXJ AIKHN AITUG AJOXV AKIFW ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BELTK BKOJK BLECG BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA HMC IHE J1W JARJE K-O KCYFY KOM LY9 M41 MO0 MS~ N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RNS ROL RPZ SCC SDF SDG SDP SES SPC SPCBC SSJ SSR SSZ T5K ~G- 29K 9DU AAHBH AAQXK AATTM AAXKI AAYWO AAYXX ABFNM ABWVN ABXDB ACLOT ACRPL ACVFH ADCNI ADHUB ADMUD ADNMO AEGFY AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION D-I EFKBS FEDTE FGOYB G-2 HVGLF HZ~ R2- SEN SEW WUQ ZY4 ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c342t-6457e1386440f98cb448cdced2bd05ec477d9c1243dac45cc2ccdfa7a12b04ed3 |
| ISICitedReferencesCount | 35 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000498805600069&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0959-6526 |
| IngestDate | Sun Sep 28 00:40:09 EDT 2025 Sat Nov 29 07:08:37 EST 2025 Tue Nov 18 22:15:02 EST 2025 Fri Feb 23 02:27:33 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Uncertainty Fuzzy optimization Assembly-recycling system Superstructure Reverse logistics |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c342t-6457e1386440f98cb448cdced2bd05ec477d9c1243dac45cc2ccdfa7a12b04ed3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 2335135694 |
| PQPubID | 24069 |
| ParticipantIDs | proquest_miscellaneous_2335135694 crossref_primary_10_1016_j_jclepro_2019_118591 crossref_citationtrail_10_1016_j_jclepro_2019_118591 elsevier_sciencedirect_doi_10_1016_j_jclepro_2019_118591 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-01-10 |
| PublicationDateYYYYMMDD | 2020-01-10 |
| PublicationDate_xml | – month: 01 year: 2020 text: 2020-01-10 day: 10 |
| PublicationDecade | 2020 |
| PublicationTitle | Journal of cleaner production |
| PublicationYear | 2020 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Fallah, Eskandari, Pishvaee (bib8) 2015 Lai, Hwang (bib22) 1992 Yadollahinia, Teimoury, Paydar (bib42) 2018 Jr, Wassenhove (bib20) 2009 Papen, Amin (bib29) 2019 Wu, Zhang, Wu, Olson (bib40) 2010 Giri, Sharma (bib11) 2016 Chen, Abrishami (bib4) 2014 Chen, Sim, Sun (bib5) 2007 Guo, Ya (bib16) 2015 Farrokh, Azar, Jandaghi, Ahmadi (bib9) 2018 Taghizadeh, Bagherpour, Mahdavi (bib36) 2011 Buschkühl, Sahling, Helber, Tempelmeier (bib3) 2010 Amin, Zhang (bib2) 2012 Östlin, Sundin, Björkman (bib27) 2008 Abbey, Guide (bib1) 2018 Liang, Cheng, Chen, Shen (bib25) 2011 Govindan, Soleimani, Kannan (bib15) 2015 Huang, Song, Lee, Ching (bib17) 2013 Polotski, Kenné, Gharbi (bib30) 2019 Jeihoonian, Kazemi Zanjani, Gendreau (bib18) 2017 Tosarkani, Amin (bib38) 2018 Govindan, Soleimani (bib14) 2017 De Giovanni, Reddy, Zaccour (bib7) 2016 Wu, Chang, Hsu (bib41) 2018 Mula, Peidro, Díaz-Madroñero, Vicens (bib26) 2010 Zanoni, Segerstedt, Tang, Mazzoldi (bib43) 2012 Prakash, Barua (bib31) 2016 Govindan, Jha, Garg (bib12) 2016 Giglio, Paolucci, Roshani (bib10) 2017 Tsao, Linh, Lu (bib39) 2017 Rommelfanger (bib32) 1996 Sadeghi Rad, Nahavandi (bib33) 2018 Kannan, Sasikumar, Devika (bib21) 2010 Govindan, Rajendran, Sarkis, Murugesan (bib13) 2015 Panda, Modak, Cárdenas-Barrón (bib28) 2017 Soleimani, Govindan, Saghafi, Jafari (bib34) 2017 Torkaman, Fatemi Ghomi, Karimi (bib37) 2017 Lee, Dong (bib23) 2009 Liang (bib24) 2011 Jeihoonian, Kazemi Zanjani, Gendreau (bib19) 2016 Su, Lin (bib35) 2015; 37 Cobb (bib6) 2016 Cobb (10.1016/j.jclepro.2019.118591_bib6) 2016 Farrokh (10.1016/j.jclepro.2019.118591_bib9) 2018 Lai (10.1016/j.jclepro.2019.118591_bib22) 1992 Liang (10.1016/j.jclepro.2019.118591_bib25) 2011 Panda (10.1016/j.jclepro.2019.118591_bib28) 2017 Prakash (10.1016/j.jclepro.2019.118591_bib31) 2016 Guo (10.1016/j.jclepro.2019.118591_bib16) 2015 Jr (10.1016/j.jclepro.2019.118591_bib20) 2009 Soleimani (10.1016/j.jclepro.2019.118591_bib34) 2017 Giri (10.1016/j.jclepro.2019.118591_bib11) 2016 Chen (10.1016/j.jclepro.2019.118591_bib5) 2007 Giglio (10.1016/j.jclepro.2019.118591_bib10) 2017 Govindan (10.1016/j.jclepro.2019.118591_bib15) 2015 Tosarkani (10.1016/j.jclepro.2019.118591_bib38) 2018 Torkaman (10.1016/j.jclepro.2019.118591_bib37) 2017 Yadollahinia (10.1016/j.jclepro.2019.118591_bib42) 2018 Tsao (10.1016/j.jclepro.2019.118591_bib39) 2017 Wu (10.1016/j.jclepro.2019.118591_bib40) 2010 Huang (10.1016/j.jclepro.2019.118591_bib17) 2013 Govindan (10.1016/j.jclepro.2019.118591_bib13) 2015 Abbey (10.1016/j.jclepro.2019.118591_bib1) 2018 De Giovanni (10.1016/j.jclepro.2019.118591_bib7) 2016 Buschkühl (10.1016/j.jclepro.2019.118591_bib3) Papen (10.1016/j.jclepro.2019.118591_bib29) 2019 Zanoni (10.1016/j.jclepro.2019.118591_bib43) 2012 Jeihoonian (10.1016/j.jclepro.2019.118591_bib18) 2017 Amin (10.1016/j.jclepro.2019.118591_bib2) 2012 Sadeghi Rad (10.1016/j.jclepro.2019.118591_bib33) 2018 Fallah (10.1016/j.jclepro.2019.118591_bib8) 2015 Liang (10.1016/j.jclepro.2019.118591_bib24) 2011 Lee (10.1016/j.jclepro.2019.118591_bib23) 2009 Rommelfanger (10.1016/j.jclepro.2019.118591_bib32) 1996 Govindan (10.1016/j.jclepro.2019.118591_bib14) 2017 Wu (10.1016/j.jclepro.2019.118591_bib41) 2018 Polotski (10.1016/j.jclepro.2019.118591_bib30) 2019 Östlin (10.1016/j.jclepro.2019.118591_bib27) 2008 Govindan (10.1016/j.jclepro.2019.118591_bib12) 2016 Mula (10.1016/j.jclepro.2019.118591_bib26) 2010 Taghizadeh (10.1016/j.jclepro.2019.118591_bib36) 2011 Jeihoonian (10.1016/j.jclepro.2019.118591_bib19) 2016 Kannan (10.1016/j.jclepro.2019.118591_bib21) 2010 Chen (10.1016/j.jclepro.2019.118591_bib4) 2014 Su (10.1016/j.jclepro.2019.118591_bib35) 2015; 37 |
| References_xml | – year: 2014 ident: bib4 article-title: A mathematical model for production planning in hybrid manufacturing- remanufacturing systems publication-title: Int. J. Adv. Manuf. Technol. – year: 2017 ident: bib10 article-title: Integrated lot sizing and energy-efficient job shop scheduling problem in manufacturing/remanufacturing systems publication-title: J. Clean. Prod. – year: 2017 ident: bib37 article-title: Multi-stage multi-product multi-period production planning with sequence-dependent setups in closed-loop supply chain publication-title: Comput. Ind. Eng. – year: 2012 ident: bib43 article-title: Multi-product economic lot scheduling problem with manufacturing and remanufacturing using a basic period policy publication-title: Comput. Ind. Eng. – year: 2018 ident: bib42 article-title: Tire forward and reverse supply chain design considering customer relationship management publication-title: Resour. Conserv. Recycl. – year: 2011 ident: bib24 article-title: Application of fuzzy sets to manufacturing/distribution planning decisions in supply chains publication-title: Inf. Sci. (Ny – year: 2016 ident: bib31 article-title: An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment publication-title: Resour. Conserv. Recycl. – year: 2016 ident: bib6 article-title: Inventory control for returnable transport items in a closed-loop supply chain publication-title: Transp. Res. Part E Logist. Transp. Rev. – year: 2010 ident: bib40 article-title: Fuzzy multi-objective programming for supplier selection and risk modeling: a possibility approach publication-title: Eur. J. Oper. Res. – year: 2015 ident: bib8 article-title: Competitive closed-loop supply chain network design under uncertainty publication-title: J. Manuf. Syst. – year: 2018 ident: bib38 article-title: A possibilistic solution to configure a battery closed-loop supply chain: multi-objective approach publication-title: Expert Syst. Appl. – year: 2007 ident: bib5 article-title: A robust optimization perspective on stochastic programming publication-title: Oper. Res. – year: 2018 ident: bib1 article-title: A typology of remanufacturing in closed-loop supply chains publication-title: Int. J. Prod. Res. – year: 2011 ident: bib25 article-title: Application of fuzzy sets to aggregate production planning with multiproducts and multitime periods publication-title: IEEE Trans. Fuzzy Syst. – year: 2010 ident: bib21 article-title: A genetic algorithm approach for solving a closed loop supply chain model: a case of battery recycling publication-title: Appl. Math. Model. – year: 2013 ident: bib17 article-title: Analysis for strategy of closed-loop supply chain with dual recycling channel publication-title: Int. J. Prod. Econ. – year: 2018 ident: bib33 article-title: A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount publication-title: J. Clean. Prod. – year: 2017 ident: bib34 article-title: Fuzzy multi-objective sustainable and green closed-loop supply chain network design publication-title: Comput. Ind. Eng. – year: 2010 ident: bib26 article-title: Mathematical programming models for supply chain production and transport planning publication-title: Eur. J. Oper. Res. – year: 2009 ident: bib23 article-title: Dynamic network design for reverse logistics operations under uncertainty publication-title: Transp. Res. Part E Logist. Transp. Rev. – year: 2010 ident: bib3 article-title: Dynamic capacitated lot-sizing problems: a classification and review of solution approaches – year: 2016 ident: bib19 article-title: Accelerating Benders decomposition for closed-loop supply chain network design: case of used durable products with different quality levels publication-title: Eur. J. Oper. Res. – year: 2017 ident: bib28 article-title: Coordinating a socially responsible closed-loop supply chain with product recycling publication-title: Int. J. Prod. Econ. – year: 2019 ident: bib30 article-title: Production control of hybrid manufacturing–remanufacturing systems under demand and return variations publication-title: Int. J. Prod. Res. – year: 2018 ident: bib41 article-title: Comparisons of interactive fuzzy programming approaches for closed-loop supply chain network design under uncertainty publication-title: Comput. Ind. Eng. – year: 2016 ident: bib12 article-title: Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing publication-title: Int. J. Prod. Res. – year: 2015 ident: bib13 article-title: Multi criteria decision making approaches for green supplier evaluation and selection: a literature review publication-title: J. Clean. Prod. – year: 2018 ident: bib9 article-title: A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty publication-title: Fuzzy Sets Syst. – year: 2015 ident: bib15 article-title: Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future publication-title: Eur. J. Oper. Res. – start-page: 605 year: 2016 end-page: 617 ident: bib7 article-title: Incentive strategies for an optimal recovery program in a closed-loop supply chain publication-title: European Journal of Operational Research. North-Holland – year: 2011 ident: bib36 article-title: Application of fuzzy multi-objective linear programming model in a multi-period multi- product production planning problem publication-title: Int. J. Comput. Intell. Syst. – year: 2012 ident: bib2 article-title: An integrated model for closed-loop supply chain configuration and supplier selection: multi-objective approach publication-title: Expert Syst. Appl. – year: 2017 ident: bib14 article-title: A review of reverse logistics and closed-loop supply chains: a Journal of Cleaner Production focus publication-title: J. Clean. Prod. – year: 2009 ident: bib20 article-title: OR FORUM-the evolution of closed-loop supply chain research publication-title: Oper. Res. – year: 2019 ident: bib29 article-title: Network configuration of a bottled water closed-loop supply chain with green supplier selection publication-title: J. Remanufacturing. – year: 1996 ident: bib32 article-title: Fuzzy linear programming and applications publication-title: Eur. J. Oper. Res. – year: 2016 ident: bib11 article-title: Optimal production policy for a closed-loop hybrid system with uncertain demand and return under supply disruption publication-title: J. Clean. Prod. – volume: 37 start-page: 396 year: 2015 end-page: 408 ident: bib35 article-title: Fuzzy multi-objective procurement/production planning decision problems for recoverable manufacturing systems publication-title: J. Manuf. Syst. – year: 2017 ident: bib39 article-title: Closed-loop supply chain network designs considering RFID adoption publication-title: Comput. Ind. Eng. – year: 2008 ident: bib27 article-title: Importance of closed-loop supply chain relationships for product remanufacturing publication-title: Int. J. Prod. Econ. – year: 2015 ident: bib16 article-title: Optimal strategies for manufacturing/remanufacturing system with the consideration of recycled products publication-title: Comput. Ind. Eng. – year: 2017 ident: bib18 article-title: Closed-loop supply chain network design under uncertain quality status: case of durable products publication-title: Int. J. Prod. Econ. – year: 1992 ident: bib22 article-title: A new approach to some possibilistic linear programming problems publication-title: Fuzzy Sets Syst – year: 2009 ident: 10.1016/j.jclepro.2019.118591_bib23 article-title: Dynamic network design for reverse logistics operations under uncertainty publication-title: Transp. Res. Part E Logist. Transp. Rev. doi: 10.1016/j.tre.2008.08.002 – year: 2019 ident: 10.1016/j.jclepro.2019.118591_bib30 article-title: Production control of hybrid manufacturing–remanufacturing systems under demand and return variations publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2018.1461272 – year: 2012 ident: 10.1016/j.jclepro.2019.118591_bib2 article-title: An integrated model for closed-loop supply chain configuration and supplier selection: multi-objective approach publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2011.12.056 – year: 2017 ident: 10.1016/j.jclepro.2019.118591_bib37 article-title: Multi-stage multi-product multi-period production planning with sequence-dependent setups in closed-loop supply chain publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2017.09.040 – year: 2017 ident: 10.1016/j.jclepro.2019.118591_bib28 article-title: Coordinating a socially responsible closed-loop supply chain with product recycling publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2017.03.010 – year: 2018 ident: 10.1016/j.jclepro.2019.118591_bib38 article-title: A possibilistic solution to configure a battery closed-loop supply chain: multi-objective approach publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2017.09.039 – year: 2017 ident: 10.1016/j.jclepro.2019.118591_bib39 article-title: Closed-loop supply chain network designs considering RFID adoption publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2016.09.016 – year: 2015 ident: 10.1016/j.jclepro.2019.118591_bib8 article-title: Competitive closed-loop supply chain network design under uncertainty publication-title: J. Manuf. Syst. doi: 10.1016/j.jmsy.2015.01.005 – volume: 37 start-page: 396 year: 2015 ident: 10.1016/j.jclepro.2019.118591_bib35 article-title: Fuzzy multi-objective procurement/production planning decision problems for recoverable manufacturing systems publication-title: J. Manuf. Syst. doi: 10.1016/j.jmsy.2014.07.007 – year: 1992 ident: 10.1016/j.jclepro.2019.118591_bib22 article-title: A new approach to some possibilistic linear programming problems – year: 2018 ident: 10.1016/j.jclepro.2019.118591_bib9 article-title: A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty publication-title: Fuzzy Sets Syst. doi: 10.1016/j.fss.2017.03.019 – year: 2017 ident: 10.1016/j.jclepro.2019.118591_bib34 article-title: Fuzzy multi-objective sustainable and green closed-loop supply chain network design publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2017.04.038 – year: 2012 ident: 10.1016/j.jclepro.2019.118591_bib43 article-title: Multi-product economic lot scheduling problem with manufacturing and remanufacturing using a basic period policy publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2011.12.030 – year: 2016 ident: 10.1016/j.jclepro.2019.118591_bib19 article-title: Accelerating Benders decomposition for closed-loop supply chain network design: case of used durable products with different quality levels publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2015.12.052 – ident: 10.1016/j.jclepro.2019.118591_bib3 – year: 2010 ident: 10.1016/j.jclepro.2019.118591_bib40 article-title: Fuzzy multi-objective programming for supplier selection and risk modeling: a possibility approach publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2009.01.026 – start-page: 605 year: 2016 ident: 10.1016/j.jclepro.2019.118591_bib7 article-title: Incentive strategies for an optimal recovery program in a closed-loop supply chain – year: 2011 ident: 10.1016/j.jclepro.2019.118591_bib36 article-title: Application of fuzzy multi-objective linear programming model in a multi-period multi- product production planning problem publication-title: Int. J. Comput. Intell. Syst. – year: 2018 ident: 10.1016/j.jclepro.2019.118591_bib33 article-title: A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2018.06.034 – year: 2017 ident: 10.1016/j.jclepro.2019.118591_bib18 article-title: Closed-loop supply chain network design under uncertain quality status: case of durable products publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2016.07.023 – year: 2014 ident: 10.1016/j.jclepro.2019.118591_bib4 article-title: A mathematical model for production planning in hybrid manufacturing- remanufacturing systems publication-title: Int. J. Adv. Manuf. Technol. – year: 2016 ident: 10.1016/j.jclepro.2019.118591_bib11 article-title: Optimal production policy for a closed-loop hybrid system with uncertain demand and return under supply disruption publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2015.06.147 – year: 2016 ident: 10.1016/j.jclepro.2019.118591_bib31 article-title: An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment publication-title: Resour. Conserv. Recycl. doi: 10.1016/j.resconrec.2015.12.011 – year: 2015 ident: 10.1016/j.jclepro.2019.118591_bib15 article-title: Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2014.07.012 – year: 2019 ident: 10.1016/j.jclepro.2019.118591_bib29 article-title: Network configuration of a bottled water closed-loop supply chain with green supplier selection publication-title: J. Remanufacturing. doi: 10.1007/s13243-018-0061-y – year: 2010 ident: 10.1016/j.jclepro.2019.118591_bib21 article-title: A genetic algorithm approach for solving a closed loop supply chain model: a case of battery recycling publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2009.06.021 – year: 2008 ident: 10.1016/j.jclepro.2019.118591_bib27 article-title: Importance of closed-loop supply chain relationships for product remanufacturing publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2008.02.020 – year: 2018 ident: 10.1016/j.jclepro.2019.118591_bib42 article-title: Tire forward and reverse supply chain design considering customer relationship management publication-title: Resour. Conserv. Recycl. doi: 10.1016/j.resconrec.2018.07.018 – year: 2010 ident: 10.1016/j.jclepro.2019.118591_bib26 article-title: Mathematical programming models for supply chain production and transport planning publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2009.09.008 – year: 2015 ident: 10.1016/j.jclepro.2019.118591_bib16 article-title: Optimal strategies for manufacturing/remanufacturing system with the consideration of recycled products publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2014.11.020 – year: 2011 ident: 10.1016/j.jclepro.2019.118591_bib25 article-title: Application of fuzzy sets to aggregate production planning with multiproducts and multitime periods publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2011.2114668 – year: 2009 ident: 10.1016/j.jclepro.2019.118591_bib20 article-title: OR FORUM-the evolution of closed-loop supply chain research publication-title: Oper. Res. – year: 2017 ident: 10.1016/j.jclepro.2019.118591_bib10 article-title: Integrated lot sizing and energy-efficient job shop scheduling problem in manufacturing/remanufacturing systems publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2017.01.166 – year: 2018 ident: 10.1016/j.jclepro.2019.118591_bib41 article-title: Comparisons of interactive fuzzy programming approaches for closed-loop supply chain network design under uncertainty publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2018.09.022 – year: 2017 ident: 10.1016/j.jclepro.2019.118591_bib14 article-title: A review of reverse logistics and closed-loop supply chains: a Journal of Cleaner Production focus publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2016.03.126 – year: 2013 ident: 10.1016/j.jclepro.2019.118591_bib17 article-title: Analysis for strategy of closed-loop supply chain with dual recycling channel publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2013.04.002 – year: 2015 ident: 10.1016/j.jclepro.2019.118591_bib13 article-title: Multi criteria decision making approaches for green supplier evaluation and selection: a literature review publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2013.06.046 – year: 2016 ident: 10.1016/j.jclepro.2019.118591_bib6 article-title: Inventory control for returnable transport items in a closed-loop supply chain publication-title: Transp. Res. Part E Logist. Transp. Rev. doi: 10.1016/j.tre.2015.12.010 – year: 2007 ident: 10.1016/j.jclepro.2019.118591_bib5 article-title: A robust optimization perspective on stochastic programming publication-title: Oper. Res. doi: 10.1287/opre.1070.0441 – year: 2011 ident: 10.1016/j.jclepro.2019.118591_bib24 article-title: Application of fuzzy sets to manufacturing/distribution planning decisions in supply chains publication-title: Inf. Sci. (Ny doi: 10.1016/j.ins.2010.10.019 – year: 2018 ident: 10.1016/j.jclepro.2019.118591_bib1 article-title: A typology of remanufacturing in closed-loop supply chains publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2017.1384078 – year: 2016 ident: 10.1016/j.jclepro.2019.118591_bib12 article-title: Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2015.1083625 – year: 1996 ident: 10.1016/j.jclepro.2019.118591_bib32 article-title: Fuzzy linear programming and applications publication-title: Eur. J. Oper. Res. doi: 10.1016/0377-2217(95)00008-9 |
| SSID | ssj0017074 |
| Score | 2.4518094 |
| Snippet | This paper addresses the optimal design of a hybrid assembly-recycling network that simultaneously integrates the forward and reverse logistics among its... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 118591 |
| SubjectTerms | Assembly-recycling system drainage water fuzzy logic Fuzzy optimization linear programming logit analysis raw materials recycling Reverse logistics Superstructure Uncertainty wastes |
| Title | Integrated forward and reverse logistics network design for a hybrid assembly-recycling system under uncertain return and waste flows: A fuzzy multi-objective programming |
| URI | https://dx.doi.org/10.1016/j.jclepro.2019.118591 https://www.proquest.com/docview/2335135694 |
| Volume | 243 |
| WOSCitedRecordID | wos000498805600069&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: 1879-1786 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017074 issn: 0959-6526 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3da9swEBeh3cP2MPbJ2n2gwd6Cu1iWbXlvYXSsY5TBOsj2YqwPk4bUCUncNv2T9rw_cCedbIdmo9tgLyIYS4q4n--O0-_uCHmVSB2WMpSg_XgScK1UIKTMAmZEVgoDHnhUumYT6fGxGI2yT73ejyYX5nyaVpW4vMzm_1XU8AyEbVNn_0Lc7aLwAH6D0GEEscP4R4I_agpAaEshtKRY5JAbS8AwfUz5sbWZK2SA97UjcSCdsj9e2xSuPrjU5kxO1wEoxLVyKetY89n1zV3AqJBLAOuC0UJG80UBb_TL6exiiQnvZX11tUbOYjCTE9StDSXsrDGa264xnKioYJc5lqPdoAp8rF24dtxh-tu4xthCdzWA6utr3WJ25NtJm9PNIAezXLnA011d5K3JvumoTk0IM4mZL6WNClykWRCmvry21_AMK0FtWQsMXEwOJnAsOJEl-mVgQ2xJv848tqTFz3Y_ux34vBFPbPf0XZbGmdghu8Ojw9GH9vYqHWD17-b_dZljr3-52e98omvegXN5Tu6Ru14gdIgYu096pnpA7mxUsHxIvndoox5tFKBAPdpoizbq0UYRbfZlWlBEG91GG0W0UYc22qKNItrcFg5t1KHtDR1ShzV6DWt0A2uPyJd3hydv3we-_UegIs5WQcLj1ISRAI99UGZCSc6F0spoJvUgNoqnqc4U-KeRLhSPlWJK6bJIi5DJATc6ekx2qlllnhBaxKU0LCmYYqB8Ul7oRCR6oERcilKHco_wRgC58rXxbYuWad6QICe5l1tu5Zaj3PbIQTttjsVhbpogGunm3sNFzzUHSN409WWDhhwsgL3Wgy9xVi9zFkVxGMVJxvf_ffmn5Hb33T0jO6tFbZ6TW-p8dbpcvPAA_wnFVOXd |
| 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=Integrated+forward+and+reverse+logistics+network+design+for+a+hybrid+assembly-recycling+system+under+uncertain+return+and+waste+flows%3A+A+fuzzy+multi-objective+programming&rft.jtitle=Journal+of+cleaner+production&rft.au=Lu%2C+Shan&rft.au=Zhu%2C+Li&rft.au=Wang%2C+Yue&rft.au=Xie%2C+Lei&rft.date=2020-01-10&rft.pub=Elsevier+Ltd&rft.issn=0959-6526&rft.eissn=1879-1786&rft.volume=243&rft_id=info:doi/10.1016%2Fj.jclepro.2019.118591&rft.externalDocID=S0959652619334614 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0959-6526&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0959-6526&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0959-6526&client=summon |