Effective IG heuristics for a single-machine scheduling problem with family setups and resource constraints
In this paper we investigate the problem of scheduling a set of jobs on a single-machine. The jobs are classified in families and setup times are required between the processing of two jobs of different families. Each job requires a certain amount of a common resource that is supplied through upstre...
Uloženo v:
| Vydáno v: | Annals of mathematics and artificial intelligence Ročník 88; číslo 1-3; s. 169 - 185 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Cham
Springer International Publishing
01.03.2020
Springer Springer Nature B.V |
| Témata: | |
| ISSN: | 1012-2443, 1573-7470 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | In this paper we investigate the problem of scheduling a set of jobs on a single-machine. The jobs are classified in families and setup times are required between the processing of two jobs of different families. Each job requires a certain amount of a common resource that is supplied through upstream processes. The total resource consumed must not exceed the resource supply up. Therefore, jobs may have to wait and the machine has to be idle due to an insufficient availability of the resource. To minimize the total tardiness, simple and effective iterated greedy (IG) heuristics are proposed. Different neighborhood operators are used in the local search phase. To choose the right neighborhood operators, we propose an adaptive selecting strategy. The heuristics are tested over an extensive computational experience on benchmark of instances from the literature and instances randomly generated in this work. Experimental results and statistical tests show that the proposed heuristics are able to obtain high-quality solutions within reasonable computational effort, and they outperform the state-of-the-art heuristic. |
|---|---|
| AbstractList | In this paper we investigate the problem of scheduling a set of jobs on a single-machine. The jobs are classified in families and setup times are required between the processing of two jobs of different families. Each job requires a certain amount of a common resource that is supplied through upstream processes. The total resource consumed must not exceed the resource supply up. Therefore, jobs may have to wait and the machine has to be idle due to an insufficient availability of the resource. To minimize the total tardiness, simple and effective iterated greedy (IG) heuristics are proposed. Different neighborhood operators are used in the local search phase. To choose the right neighborhood operators, we propose an adaptive selecting strategy. The heuristics are tested over an extensive computational experience on benchmark of instances from the literature and instances randomly generated in this work. Experimental results and statistical tests show that the proposed heuristics are able to obtain high-quality solutions within reasonable computational effort, and they outperform the state-of-the-art heuristic. In this paper we investigate the problem of scheduling a set of jobs on a single-machine. The jobs are classified in families and setup times are required between the processing of two jobs of different families. Each job requires a certain amount of a common resource that is supplied through upstream processes. The total resource consumed must not exceed the resource supply up. Therefore, jobs may have to wait and the machine has to be idle due to an insufficient availability of the resource. To minimize the total tardiness, simple and effective iterated greedy (IG) heuristics are proposed. Different neighborhood operators are used in the local search phase. To choose the right neighborhood operators, we propose an adaptive selecting strategy. The heuristics are tested over an extensive computational experience on benchmark of instances from the literature and instances randomly generated in this work. Experimental results and statistical tests show that the proposed heuristics are able to obtain high-quality solutions within reasonable computational effort, and they outperform the state-of-the-art heuristic. Keywords Single machine scheduling * Family setup-times * Resource constraints * Total tardiness * Meta-heuristics. Mathematics Subject Classification (2010) 90C27 * 90B35 * 90C59 |
| Audience | Academic |
| Author | Arroyo, José Elias C. Pinheiro, Júlio C. S. N. |
| Author_xml | – sequence: 1 givenname: Júlio C. S. N. surname: Pinheiro fullname: Pinheiro, Júlio C. S. N. organization: Department of Computer Science, Universidade Federal de Viçosa – sequence: 2 givenname: José Elias C. orcidid: 0000-0003-3403-4770 surname: Arroyo fullname: Arroyo, José Elias C. email: jarroyo@dpi.ufv.br organization: Department of Computer Science, Universidade Federal de Viçosa |
| BookMark | eNp9kUFPHSEUhYmxifraP9AVSdfohWEGZmmMVROTbto14TGX99AZ5hUYjf--6JiYdGFYQG7Oxz33njNyHOeIhHzncM4B1EXmIJVgwHsGfSc71h2RU96qhimp4Li-gQsmpGxOyFnODwBVprtT8njtPboSnpDe3dA9LinkElymfk7U0hzibkQ2WbcPEWl2exyWsRbpIc3bESf6HMqeejuF8YVmLMshUxsHmjDPS3JI3RxzSTbEkr-SL96OGb-93xvy5-f176tbdv_r5u7q8p45CV1hCjvNB9F6OVjfCO1lK63vtr3Wg3BKeKkGCaoHu8W-sQ6dA9B-a8FpIZqh2ZAf67_V498FczEP1UusLY3ouRYgdCur6nxV7eyIJkQ_V5uungGnUF2jD7V-qbjm0EpoKiBWwKU554TeHFKYbHoxHMxrCmZNwdQUzFsKpquQ_g9yodgS5vi6lPFztFnRXPvEHaaPMT6h_gHuhJ-t |
| CitedBy_id | crossref_primary_10_1016_j_ifacol_2021_04_140 crossref_primary_10_1109_TASE_2025_3575531 crossref_primary_10_21597_jist_935652 crossref_primary_10_25077_josi_v21_n2_p97_105_2022 crossref_primary_10_1111_itor_13232 crossref_primary_10_1016_j_cor_2021_105637 |
| Cites_doi | 10.1016/j.disopt.2008.04.001 10.1080/00207543.2014.883472 10.1016/j.cor.2011.12.017 10.1016/j.jpdc.2013.03.008 10.1016/j.ejor.2009.04.007 10.1016/j.cor.2013.01.018 10.1057/palgrave.jors.2602434 10.1016/j.ejor.2015.07.001 10.1007/s10951-011-0261-x 10.1016/j.cor.2012.07.004 10.1016/j.ejor.2005.12.009 10.1016/S0377-2217(99)00153-8 10.1080/00207540601009976 10.1287/opre.17.4.701 10.1504/IJCSM.2017.083755 10.1016/j.eswa.2008.08.033 10.1016/j.ejor.2006.06.061 10.1016/j.ijpe.2016.05.014 10.1016/j.ejor.2005.05.018 10.1016/j.ijpe.2004.10.020 10.1016/S0925-5273(02)00265-7 10.1016/j.ejor.2006.06.060 10.1016/j.ejor.2010.03.030 10.1016/j.cor.2005.07.020 10.1057/jors.1992.66 10.1287/moor.15.3.483 10.1016/S0167-5060(08)70742-8 10.1016/j.ejor.2010.05.036 10.1155/2016/9598041 10.1016/j.omega.2018.03.004 |
| ContentType | Journal Article |
| Copyright | Springer Nature Switzerland AG 2019 COPYRIGHT 2020 Springer Springer Nature Switzerland AG 2019. |
| Copyright_xml | – notice: Springer Nature Switzerland AG 2019 – notice: COPYRIGHT 2020 Springer – notice: Springer Nature Switzerland AG 2019. |
| DBID | AAYXX CITATION 8FE 8FG ABJCF AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- L6V M7S P5Z P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS |
| DOI | 10.1007/s10472-019-09646-6 |
| DatabaseName | CrossRef ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Technology collection ProQuest One ProQuest Central ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database ProQuest Engineering Collection Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering collection |
| DatabaseTitle | CrossRef Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection SciTech Premium Collection ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest Central Korea ProQuest Central (New) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition Materials Science & Engineering Collection ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | Computer Science Database |
| Database_xml | – sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Mathematics Computer Science |
| EISSN | 1573-7470 |
| EndPage | 185 |
| ExternalDocumentID | A718105403 10_1007_s10472_019_09646_6 |
| GrantInformation_xml | – fundername: Conselho Nacional de Desenvolvimento Científico e Tecnológico funderid: https://doi.org/10.13039/501100003593 |
| GroupedDBID | -4Z -59 -5G -BR -EM -Y2 -~C .86 .DC .VR 06D 0R~ 0VY 1N0 1SB 2.D 203 23M 28- 2J2 2JN 2JY 2KG 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 5GY 5QI 5VS 67Z 6NX 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AAOBN AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABFTD ABFTV ABHLI ABHQN ABJCF ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACSNA ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFIE AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFEXP AFGCZ AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. BA0 BBWZM BDATZ BENPR BGLVJ BGNMA BSONS CAG CCPQU COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP EBLON EBS EIOEI EJD ESBYG F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IAO IHE IJ- IKXTQ ITM IWAJR IXC IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K7- KDC KOV KOW LAK LLZTM M4Y M7S MA- N2Q NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM OVD P19 P2P P9O PF0 PT4 PT5 PTHSS QOK QOS R4E R89 R9I RHV RNI RNS ROL RPX RSV RZC RZE RZK S16 S1Z S26 S27 S28 S3B SAP SCJ SCLPG SCO SDH SDM SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TEORI TN5 TSG TSK TSV TUC U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z7R Z7X Z81 Z83 Z88 Z92 ZMTXR ~A9 ~EX AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG ADKFA AEZWR AFDZB AFFHD AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION PHGZM PHGZT PQGLB 8FE 8FG AZQEC DWQXO GNUQQ JQ2 L6V P62 PKEHL PQEST PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c406t-7e681d25f4daf328f454af6b988d2c72f47d40790abe93acecc008fba0c8223d3 |
| IEDL.DBID | RSV |
| ISICitedReferencesCount | 5 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000512057700010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1012-2443 |
| IngestDate | Wed Nov 05 14:50:05 EST 2025 Sat Nov 29 10:06:55 EST 2025 Sat Nov 29 05:14:37 EST 2025 Tue Nov 18 22:22:45 EST 2025 Fri Feb 21 02:26:56 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1-3 |
| Keywords | Resource constraints Family setup-times 90B35 90C59 90C27 Single machine scheduling Total tardiness Meta-heuristics |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c406t-7e681d25f4daf328f454af6b988d2c72f47d40790abe93acecc008fba0c8223d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-3403-4770 |
| PQID | 2918202854 |
| PQPubID | 2043872 |
| PageCount | 17 |
| ParticipantIDs | proquest_journals_2918202854 gale_infotracacademiconefile_A718105403 crossref_primary_10_1007_s10472_019_09646_6 crossref_citationtrail_10_1007_s10472_019_09646_6 springer_journals_10_1007_s10472_019_09646_6 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-03-01 |
| PublicationDateYYYYMMDD | 2020-03-01 |
| PublicationDate_xml | – month: 03 year: 2020 text: 2020-03-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Cham |
| PublicationPlace_xml | – name: Cham – name: Dordrecht |
| PublicationTitle | Annals of mathematics and artificial intelligence |
| PublicationTitleAbbrev | Ann Math Artif Intell |
| PublicationYear | 2020 |
| Publisher | Springer International Publishing Springer Springer Nature B.V |
| Publisher_xml | – name: Springer International Publishing – name: Springer – name: Springer Nature B.V |
| References | Sioud, Gravel, Gagné (CR13) 2012; 39 Herr, Goel (CR1) 2016; 248 Rodriguez, Lozano, Blum, García-Martínez (CR28) 2013; 40 Briskorn, Jaehn, Pesch (CR24) 2013; 16 Potts, Van Wassenhove (CR19) 1992; 43 Ying, Lin, Huang (CR12) 2009; 36 Tanaka, Araki (CR15) 2013; 40 Sen, Sulek, Dileepan (CR4) 2003; 83 Subramanian, Battarra, Potts (CR16) 2014; 52 Koulamas (CR3) 2010; 202 Emmons (CR5) 1969; 17 Lin, Ying (CR11) 2008; 59 Du, Leung (CR2) 1990; 15 Schaller, Gupta (CR20) 2008; 187 Allahverdi, Ng, Cheng, Kovalyov (CR7) 2008; 187 Bigras, Gamache, Savard (CR14) 2008; 5 Fanjul-Peyro, Ruiz (CR25) 2010; 207 Gupta, Smith (CR9) 2006; 175 Gupta, Chantaravarapan (CR17) 2008; 46 CR27 Liao, Juan (CR10) 2007; 34 CR21 Briskorn, Choi, Lee, Leung, Pinedo (CR23) 2010; 207 Lawler (CR6) 1977; 1 Potts, Kovalyov (CR8) 2000; 120 Schaller (CR18) 2007; 105 Ruiz, Stützle (CR26) 2007; 177 Peng, Han, Xiao, Ullah (CR22) 2017; 8 Kang, He, Wei (CR29) 2013; 73 Zhou, Liu, Chen, Li (CR30) 2016; 179 Y Peng (9646_CR22) 2017; 8 A Subramanian (9646_CR16) 2014; 52 CN Potts (9646_CR19) 1992; 43 CN Potts (9646_CR8) 2000; 120 9646_CR21 D Briskorn (9646_CR24) 2013; 16 J Schaller (9646_CR18) 2007; 105 9646_CR27 Q Kang (9646_CR29) 2013; 73 J Du (9646_CR2) 1990; 15 C Koulamas (9646_CR3) 2010; 202 FJ Rodriguez (9646_CR28) 2013; 40 SR Gupta (9646_CR9) 2006; 175 L Fanjul-Peyro (9646_CR25) 2010; 207 JN Gupta (9646_CR17) 2008; 46 A Sioud (9646_CR13) 2012; 39 H Emmons (9646_CR5) 1969; 17 C-J Liao (9646_CR10) 2007; 34 S Tanaka (9646_CR15) 2013; 40 S Lin (9646_CR11) 2008; 59 L-P Bigras (9646_CR14) 2008; 5 D Briskorn (9646_CR23) 2010; 207 S Zhou (9646_CR30) 2016; 179 JE Schaller (9646_CR20) 2008; 187 A Allahverdi (9646_CR7) 2008; 187 EL Lawler (9646_CR6) 1977; 1 K-C Ying (9646_CR12) 2009; 36 T Sen (9646_CR4) 2003; 83 O Herr (9646_CR1) 2016; 248 R Ruiz (9646_CR26) 2007; 177 |
| References_xml | – volume: 5 start-page: 685 issue: 4 year: 2008 end-page: 699 ident: CR14 article-title: The time-dependent traveling salesman problem and single machine scheduling problems with sequence dependent setup times publication-title: Discret. Optim. doi: 10.1016/j.disopt.2008.04.001 – volume: 52 start-page: 2729 issue: 9 year: 2014 end-page: 2742 ident: CR16 article-title: An iterated local search heuristic for the single machine total weighted tardiness scheduling problem with sequence-dependent setup times publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2014.883472 – volume: 39 start-page: 2415 issue: 10 year: 2012 end-page: 2424 ident: CR13 article-title: A hybrid genetic algorithm for the single machine scheduling problem with sequence-dependent setup times publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2011.12.017 – volume: 73 start-page: 1106 issue: 8 year: 2013 end-page: 1115 ident: CR29 article-title: An effective iterated greedy algorithm for reliability-oriented task allocation in distributed computing systems publication-title: J. Parallel Distrib. Comput. doi: 10.1016/j.jpdc.2013.03.008 – volume: 202 start-page: 1 issue: 1 year: 2010 end-page: 7 ident: CR3 article-title: The single-machine total tardiness scheduling problem: review and extensions publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2009.04.007 – volume: 40 start-page: 1829 issue: 7 year: 2013 end-page: 1841 ident: CR28 article-title: An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2013.01.018 – volume: 59 start-page: 1109 issue: 8 year: 2008 end-page: 1119 ident: CR11 article-title: A hybrid approach for single-machine tardiness problems with sequence-dependent setup times publication-title: J. Oper. Res. Soc. doi: 10.1057/palgrave.jors.2602434 – volume: 248 start-page: 123 issue: 1 year: 2016 end-page: 135 ident: CR1 article-title: Minimising total tardiness for a single machine scheduling problem with family setups and resource constraints publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2015.07.001 – volume: 16 start-page: 105 issue: 1 year: 2013 end-page: 115 ident: CR24 article-title: Exact algorithms for inventory constrained scheduling on a single machine publication-title: J. Sched. doi: 10.1007/s10951-011-0261-x – volume: 40 start-page: 344 issue: 1 year: 2013 end-page: 352 ident: CR15 article-title: An exact algorithm for the single-machine total weighted tardiness problem with sequence-dependent setup times publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2012.07.004 – volume: 177 start-page: 2033 issue: 3 year: 2007 end-page: 2049 ident: CR26 article-title: A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2005.12.009 – volume: 120 start-page: 228 issue: 2 year: 2000 end-page: 249 ident: CR8 article-title: Scheduling with batching: a review publication-title: Eur. J. Oper. Res. doi: 10.1016/S0377-2217(99)00153-8 – volume: 46 start-page: 1707 issue: 6 year: 2008 end-page: 1722 ident: CR17 article-title: Single machine group scheduling with family setups to minimize total tardiness publication-title: Int. J. Prod. Res. doi: 10.1080/00207540601009976 – volume: 17 start-page: 701 issue: 4 year: 1969 end-page: 715 ident: CR5 article-title: One-machine sequencing to minimize certain functions of job tardiness publication-title: Oper. Res. doi: 10.1287/opre.17.4.701 – volume: 8 start-page: 166 issue: 2 year: 2017 end-page: 174 ident: CR22 article-title: Heuristics for single machine scheduling problem with family setup times publication-title: Int. J. Comput. Sci. Math. doi: 10.1504/IJCSM.2017.083755 – volume: 36 start-page: 7087 issue: 3 year: 2009 end-page: 7092 ident: CR12 article-title: Sequencing single-machine tardiness problems with sequence dependent setup times using an iterated greedy heuristic publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2008.08.033 – volume: 187 start-page: 1050 issue: 3 year: 2008 end-page: 1068 ident: CR20 article-title: Single machine scheduling with family setups to minimize total earliness and tardiness publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2006.06.061 – volume: 179 start-page: 1 year: 2016 end-page: 11 ident: CR30 article-title: An effective discrete differential evolution algorithm for scheduling uniform parallel batch processing machines with non-identical capacities and arbitrary job sizes publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2016.05.014 – ident: CR27 – volume: 175 start-page: 722 issue: 2 year: 2006 end-page: 739 ident: CR9 article-title: Algorithms for single machine total tardiness scheduling with sequence dependent setups publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2005.05.018 – volume: 105 start-page: 329 issue: 2 year: 2007 end-page: 344 ident: CR18 article-title: Scheduling on a single machine with family setups to minimize total tardiness publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2004.10.020 – ident: CR21 – volume: 83 start-page: 1 issue: 1 year: 2003 end-page: 12 ident: CR4 article-title: Static scheduling research to minimize weighted and unweighted tardiness: a state-of-the-art survey publication-title: Int. J. Prod. Econ. doi: 10.1016/S0925-5273(02)00265-7 – volume: 187 start-page: 985 issue: 3 year: 2008 end-page: 1032 ident: CR7 article-title: A survey of scheduling problems with setup times or costs publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2006.06.060 – volume: 207 start-page: 55 issue: 1 year: 2010 end-page: 69 ident: CR25 article-title: Iterated greedy local search methods for unrelated parallel machine scheduling publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2010.03.030 – volume: 34 start-page: 1899 issue: 7 year: 2007 end-page: 1909 ident: CR10 article-title: An ant colony optimization for single-machine tardiness scheduling with sequence-dependent setups publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2005.07.020 – volume: 43 start-page: 395 issue: 5 year: 1992 end-page: 406 ident: CR19 article-title: Integrating scheduling with batching and lot-sizing: a review of algorithms and complexity publication-title: J. Oper. Res. Soc. doi: 10.1057/jors.1992.66 – volume: 15 start-page: 483 issue: 3 year: 1990 end-page: 495 ident: CR2 article-title: Minimizing total tardiness on one machine is np-hard publication-title: Math. Oper. Res. doi: 10.1287/moor.15.3.483 – volume: 1 start-page: 331 year: 1977 end-page: 342 ident: CR6 article-title: A “pseudopolynomial” algorithm for sequencing jobs to minimize total tardiness publication-title: Ann. Discrete Math. doi: 10.1016/S0167-5060(08)70742-8 – volume: 207 start-page: 605 issue: 2 year: 2010 end-page: 619 ident: CR23 article-title: Complexity of single machine scheduling subject to nonnegative inventory constraints publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2010.05.036 – volume: 207 start-page: 605 issue: 2 year: 2010 ident: 9646_CR23 publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2010.05.036 – volume: 73 start-page: 1106 issue: 8 year: 2013 ident: 9646_CR29 publication-title: J. Parallel Distrib. Comput. doi: 10.1016/j.jpdc.2013.03.008 – volume: 52 start-page: 2729 issue: 9 year: 2014 ident: 9646_CR16 publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2014.883472 – volume: 8 start-page: 166 issue: 2 year: 2017 ident: 9646_CR22 publication-title: Int. J. Comput. Sci. Math. doi: 10.1504/IJCSM.2017.083755 – volume: 83 start-page: 1 issue: 1 year: 2003 ident: 9646_CR4 publication-title: Int. J. Prod. Econ. doi: 10.1016/S0925-5273(02)00265-7 – volume: 120 start-page: 228 issue: 2 year: 2000 ident: 9646_CR8 publication-title: Eur. J. Oper. Res. doi: 10.1016/S0377-2217(99)00153-8 – volume: 175 start-page: 722 issue: 2 year: 2006 ident: 9646_CR9 publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2005.05.018 – ident: 9646_CR21 doi: 10.1155/2016/9598041 – volume: 36 start-page: 7087 issue: 3 year: 2009 ident: 9646_CR12 publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2008.08.033 – volume: 40 start-page: 1829 issue: 7 year: 2013 ident: 9646_CR28 publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2013.01.018 – volume: 39 start-page: 2415 issue: 10 year: 2012 ident: 9646_CR13 publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2011.12.017 – volume: 40 start-page: 344 issue: 1 year: 2013 ident: 9646_CR15 publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2012.07.004 – volume: 187 start-page: 1050 issue: 3 year: 2008 ident: 9646_CR20 publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2006.06.061 – volume: 5 start-page: 685 issue: 4 year: 2008 ident: 9646_CR14 publication-title: Discret. Optim. doi: 10.1016/j.disopt.2008.04.001 – volume: 59 start-page: 1109 issue: 8 year: 2008 ident: 9646_CR11 publication-title: J. Oper. Res. Soc. doi: 10.1057/palgrave.jors.2602434 – volume: 16 start-page: 105 issue: 1 year: 2013 ident: 9646_CR24 publication-title: J. Sched. doi: 10.1007/s10951-011-0261-x – volume: 105 start-page: 329 issue: 2 year: 2007 ident: 9646_CR18 publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2004.10.020 – volume: 17 start-page: 701 issue: 4 year: 1969 ident: 9646_CR5 publication-title: Oper. Res. doi: 10.1287/opre.17.4.701 – volume: 207 start-page: 55 issue: 1 year: 2010 ident: 9646_CR25 publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2010.03.030 – ident: 9646_CR27 doi: 10.1016/j.omega.2018.03.004 – volume: 15 start-page: 483 issue: 3 year: 1990 ident: 9646_CR2 publication-title: Math. Oper. Res. doi: 10.1287/moor.15.3.483 – volume: 177 start-page: 2033 issue: 3 year: 2007 ident: 9646_CR26 publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2005.12.009 – volume: 202 start-page: 1 issue: 1 year: 2010 ident: 9646_CR3 publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2009.04.007 – volume: 34 start-page: 1899 issue: 7 year: 2007 ident: 9646_CR10 publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2005.07.020 – volume: 43 start-page: 395 issue: 5 year: 1992 ident: 9646_CR19 publication-title: J. Oper. Res. Soc. doi: 10.1057/jors.1992.66 – volume: 187 start-page: 985 issue: 3 year: 2008 ident: 9646_CR7 publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2006.06.060 – volume: 46 start-page: 1707 issue: 6 year: 2008 ident: 9646_CR17 publication-title: Int. J. Prod. Res. doi: 10.1080/00207540601009976 – volume: 179 start-page: 1 year: 2016 ident: 9646_CR30 publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2016.05.014 – volume: 248 start-page: 123 issue: 1 year: 2016 ident: 9646_CR1 publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2015.07.001 – volume: 1 start-page: 331 year: 1977 ident: 9646_CR6 publication-title: Ann. Discrete Math. doi: 10.1016/S0167-5060(08)70742-8 |
| SSID | ssj0009686 |
| Score | 2.2356896 |
| Snippet | In this paper we investigate the problem of scheduling a set of jobs on a single-machine. The jobs are classified in families and setup times are required... |
| SourceID | proquest gale crossref springer |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 169 |
| SubjectTerms | Artificial Intelligence Complex Systems Computer Science Heuristic Mathematics Operators Scheduling Statistical tests |
| SummonAdditionalLinks | – databaseName: Engineering Database dbid: M7S link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwEB4B7aEcoIVWbHnIh0o9tBaJ43WSE0KIl9SiSm0RN8vxQ1TdLssmy-_vjNdhVSq4cE7iWPrGnvF45vsAPsiqVj5rhtxjMMRl7i03pfJclpkLrlaVizKdl1_Ki4vq6qr-lhJubSqr7PfEuFG7G0s58n1RE9U49fsdTG45qUbR7WqS0FiGF8SSkMfSve8L0l0VlR6JwoqjGytS00xqnZMlFSVQwZCSiqt_HNPD7fm_e9Lofk7Wnzvx17CWAk92OLeUN7Dkxxuw3os6sLTGN2D16z2Ra7sJv-fsxrglsvNTdu1nidiZYazLDKNEw8jzP7Ei0zM8KaPnogZ3loRqGOV52TyLwlrfzSYtM2PHpunWgFmKT0mmomvfws-T4x9HZzzpM3CLYUDHS68QYDEM0plQiCrIoTRBNXWFCNtSBFk6PC_WmWl8XRiL1oIRR2hMZjEsKVzxDlbGN2O_BcxUTeVCI0SthMQhzNDlTZabIFzhg6oGkPfgaJvIy2lyI72gXSZANQKqI6BaDeDT_TeTOXXHk29_JMw1rWsc2ZrUnoDzI4YsfYhOPKf4thjATg-0Tgu-1QuUB_C5N5XF48f_-_7p0bbhlaATfqx624GVbjrzu_DS3nW_2uleNPe_15UGLw priority: 102 providerName: ProQuest |
| Title | Effective IG heuristics for a single-machine scheduling problem with family setups and resource constraints |
| URI | https://link.springer.com/article/10.1007/s10472-019-09646-6 https://www.proquest.com/docview/2918202854 |
| Volume | 88 |
| WOSCitedRecordID | wos000512057700010&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: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1573-7470 dateEnd: 20241213 omitProxy: false ssIdentifier: ssj0009686 issn: 1012-2443 databaseCode: P5Z dateStart: 19970301 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1573-7470 dateEnd: 20241213 omitProxy: false ssIdentifier: ssj0009686 issn: 1012-2443 databaseCode: K7- dateStart: 19970301 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1573-7470 dateEnd: 20241213 omitProxy: false ssIdentifier: ssj0009686 issn: 1012-2443 databaseCode: M7S dateStart: 19970301 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1573-7470 dateEnd: 20241213 omitProxy: false ssIdentifier: ssj0009686 issn: 1012-2443 databaseCode: BENPR dateStart: 19970301 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVAVX databaseName: Springer Standard Collection customDbUrl: eissn: 1573-7470 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0009686 issn: 1012-2443 databaseCode: RSV dateStart: 19970101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB7RlgM9UCigLrQrH5A4gKXEcRznWFAfCFitWqgqLpbjh4ooS7XJ8vuZyTrd8pTgkkscx_J4PJ89M98APJW6ViFrSh4QDHGZB8dtpQKXVeajr5X2fZnOs7fVZKLPz-tpSgprh2j3wSXZ79Q3kt1kRWEEFOKjpOJqDTbQ3Gkq2HByerai2lV9fUciruJovIqUKvP7Pn4wRz9vyr94R3ujc7j1f8O9B3cTyGT7y1VxH26F2TZsDQUcWNLnbdh8d03a2j6Az0smY9z-2OsjdhEWicSZIa5lltGlwmXgX_roy8DwVIxWipLZWSpKw-hOly1vTFgbusVVy-zMs3nyEDBHWJRKUnTtQ_hwePD-1TFPtRi4Q5Pf8SooFKYoo_Q2FkJHWUobVVNrlKarRJSVx7Nhndkm1IV1uDIQXcTGZg4hSOGLR7A--zoLO8CsbrSPjRC1EhK7sKXPmyy3UfgiRKVHkA8iMS4RldPgLs2KYpnm1uDcmn5ujRrB8-tvrpY0HX9t_YwkbUiHsWdnUyoCjo_YsMw-GuycsGwxgt1hMZik3K0RNbHeU-rpCF4Mwl-9_vN_H_9b8ydwR9Dpvo9424X1br4Ie3Dbfes-tfMxbLw8mExPxrD2puJjilk9xee0_Dju1eE7cw4Aqw |
| linkProvider | Springer Nature |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwEB2VggQcKBQQCwV8AHEAi8TxOskBoQooXe12xaGg3ozjD1pRtssmC-JP8RuZSZyuANFbD5yTTBzneWY8nnkD8EgWpfJJNeQenSEuU2-5yZXnMk9ccKUqXNum88Mkn06Lg4Py3Rr87GthKK2y14mtonYnlmLkz0VJVONU7_dy_pVT1yg6Xe1baHSwGPsf33HLVr8Yvcb_-1iInTf7r3Z57CrALRqvhude4bDEMEhnQiaKIIfSBFWVBY7L5iLI3OEup0xM5cvMWPxGtJOhMolFY5q5DOVegIsyK3JaV-Ocr0h-VdtZkiizOJrNLBbpxFI9mVMSBCUoKam4-s0Q_mkO_jqXbc3dzsb_NlHX4Vp0rNl2txJuwJqfbcJG37SCRR22CVf3Tolq65vwuWNvRpXPRm_ZoV9G4mqGvjwzjAIpx55_aTNOPasR4Y5S9z-x2IiHURybdVEiVvtmOa-ZmTm2iKcizJL_TW04mvoWvD-XCbgN67OTmb8DzBRV4UIlRKmERBFm6NIqSU0QLvNBFQNIezBoG8nZaXDHekUrTQDSCCDdAkirATw9fWbeUZOcefcTwpgmvYWSrYnlFzg-YgDT2-ikpOS_ZwPY6oGlo0Kr9QpVA3jWQ3N1-d_vvXu2tIdweXd_b6Ino-n4HlwRFM1oM_y2YL1ZLP19uGS_NUf14kG71Bh8PG_I_gJR2mQ6 |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3fb9QwDLbGNiF4YGyAOBiQByQeIFqb5tL2cWI7mBinSYNpb1GaH2LaKKdrj78fu0132xhIiOe2aRTb8RfH_gzwWhal8kk15h7BEJept9zkynOZJy64UhWua9N5cphPp8XpaXl0pYq_y3YfriT7mgZiaarbnZkLO1cK32ROKQWU7qOk4uoOrElKpKfz-vHJknZXdb0eicSKoyPLYtnM7WNcc003N-jfbko7BzTZ-P-pP4QHEXyy3V5bNmHF11uwMTR2YNHOt-D-50sy1-YRnPcMx7gtsoMP7JtfRHJnhniXGUbBhgvPv3dZmZ7haRm9FxW5s9ishlGsl_WRFNb4djFrmKkdm8ebA2YJo1KrirZ5DF8n-1_ef-SxRwO3CAVannuFQhbjIJ0JmSiCHEsTVFUWKGWbiyBzh2fGMjGVLzNjUWMQdYTKJBahSeayJ7Ba_6j9U2CmqAoXKiFKJSQOYcYurZLUBOEyH1QxgnQQj7aRwJwmd6GX1Mu0thrXVndrq9UI3l5-M-vpO_769huSuibbxpGtiSUKOD9iydK76MhTwrjZCLYHxdDR6BstSmLDp5LUEbwbFGH5-M__ffZvr7-Cu0d7E314MP30HO4JCgB0SXHbsNrOF_4FrNuf7Vkzf9nZwi_5AAgR |
| 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=Effective+IG+heuristics+for+a+single-machine+scheduling+problem+with+family+setups+and+resource+constraints&rft.jtitle=Annals+of+mathematics+and+artificial+intelligence&rft.au=Pinheiro%2C+Julio+C.S.N&rft.au=Arroyo%2C+Jose+Elias+C&rft.date=2020-03-01&rft.pub=Springer&rft.issn=1012-2443&rft.volume=88&rft.issue=1-3&rft.spage=169&rft_id=info:doi/10.1007%2Fs10472-019-09646-6&rft.externalDocID=A718105403 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1012-2443&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1012-2443&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1012-2443&client=summon |