{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T21:03:59Z","timestamp":1781298239000,"version":"3.54.1"},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers &amp; Operations Research"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.cor.2026.107538","type":"journal-article","created":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T23:33:15Z","timestamp":1779492795000},"page":"107538","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Modeling and optimization of machine deterioration effects in low-carbon flexible job shop scheduling problems"],"prefix":"10.1016","volume":"194","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5379-3226","authenticated-orcid":false,"given":"Zhuo","family":"Su","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junlong","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuntao","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chupei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cor.2026.107538_b0005","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1109\/TASE.2023.3349167","article-title":"Scheduling a distributed permutation flowshop with uniform machines and release dates","volume":"22","author":"Bai","year":"2024","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.cor.2026.107538_b0010","article-title":"Application of thermal energy optimization based on improved neural network algorithm in green innovation capability evaluation of manufacturing enterprises","volume":"55","author":"Li","year":"2024","journal-title":"Therm. Sci. Eng. Prog."},{"key":"10.1016\/j.cor.2026.107538_b0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2019.119026","article-title":"Key factors affecting greenhouse gas emissions in the Canadian industrial sector: a decomposition analysis","volume":"246","author":"Talaei","year":"2020","journal-title":"J. Clean. Prod."},{"issue":"1","key":"10.1016\/j.cor.2026.107538_b0020","article-title":"Joint parallel-machine scheduling and maintenance planning optimisation with deterioration, unexpected breakdowns, and condition-based maintenance","volume":"10","author":"Sharifi","year":"2023","journal-title":"International Journal of Systems Science: Operations & Logistics."},{"issue":"2","key":"10.1016\/j.cor.2026.107538_b0025","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1007\/s12652-021-03330-6","article-title":"Low carbon emission management for flexible job shop scheduling: a study case in China","volume":"14","author":"Ning","year":"2023","journal-title":"J. Ambient Intell. Hum. Comput."},{"key":"10.1016\/j.cor.2026.107538_b0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2021.102198","article-title":"Research on flexible job shop scheduling under finite transportation conditions for digital twin workshop","volume":"72","author":"Yan","year":"2021","journal-title":"Rob. Comput. Integr. Manuf."},{"key":"10.1016\/j.cor.2026.107538_b0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.109903","article-title":"Multi-resource constrained flexible job shop scheduling problem with fixture-pallet combinatorial optimisation","volume":"188","author":"Liu","year":"2024","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2026.107538_b0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.110447","article-title":"A deep reinforcement learning assisted adaptive genetic algorithm for flexible job shop scheduling","volume":"149","author":"Ma","year":"2025","journal-title":"Eng. Appl. Artif. Intel."},{"key":"10.1016\/j.cor.2026.107538_b0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101836","article-title":"Quantum particle swarm optimization with chaotic encoding schemes for flexible job-shop scheduling problem","volume":"93","author":"Xu","year":"2025","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.cor.2026.107538_b0050","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.jmsy.2024.02.007","article-title":"Hybrid quantum particle swarm optimization and variable neighborhood search for flexible job-shop scheduling problem","volume":"73","author":"Xu","year":"2024","journal-title":"J. Manuf. Syst."},{"issue":"1","key":"10.1016\/j.cor.2026.107538_b0055","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1504\/IJWMC.2021.113227","article-title":"Adaptive genetic algorithm for scheduling problem in flexible workshop with low carbon constraints","volume":"20","author":"Liu","year":"2021","journal-title":"Int. J. Wirel. Mob. Comput."},{"issue":"9","key":"10.1016\/j.cor.2026.107538_b0060","doi-asserted-by":"crossref","first-page":"12123","DOI":"10.1007\/s11227-024-05915-2","article-title":"Research on low-carbon flexible job shop scheduling problem based on improved Grey Wolf Algorithm","volume":"80","author":"Zhou","year":"2024","journal-title":"J. Supercomput."},{"issue":"9","key":"10.1016\/j.cor.2026.107538_b0065","doi-asserted-by":"crossref","first-page":"590","DOI":"10.3390\/machines12090590","article-title":"Research on multi-objective low-carbon flexible job shop scheduling based on improved NSGA-II","volume":"12","author":"Mei","year":"2024","journal-title":"Machines"},{"issue":"11","key":"10.1016\/j.cor.2026.107538_b0070","doi-asserted-by":"crossref","first-page":"4544","DOI":"10.3390\/su16114544","article-title":"Low-carbon flexible job shop scheduling problem based on deep reinforcement learning","volume":"16","author":"Tang","year":"2024","journal-title":"Sustainability"},{"issue":"3","key":"10.1016\/j.cor.2026.107538_b0075","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1093\/ijlct\/ctab005","article-title":"Research on flexible job shop scheduling with low-carbon technology based on quantum bacterial foraging optimization","volume":"16","author":"Ning","year":"2021","journal-title":"International Journal of Low-Carbon Technologies."},{"key":"10.1016\/j.cor.2026.107538_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2022.130541","article-title":"An adaptive ensemble deep forest based dynamic scheduling strategy for low carbon flexible job shop under recessive disturbance","volume":"337","author":"Zhou","year":"2022","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.cor.2026.107538_b0085","doi-asserted-by":"crossref","first-page":"135899","DOI":"10.1109\/ACCESS.2021.3117270","article-title":"Application research for multiobjective low-carbon flexible job-shop scheduling problem based on hybrid artificial bee colony algorithm","volume":"9","author":"Gu","year":"2021","journal-title":"IEEE Access"},{"key":"10.1016\/j.cor.2026.107538_b0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113348","article-title":"A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines","volume":"157","author":"Abedi","year":"2020","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.cor.2026.107538_b0095","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.jmsy.2021.09.018","article-title":"Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance","volume":"61","author":"Ghaleb","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.cor.2026.107538_b0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.111593","article-title":"A discrete artificial bee colony algorithm and its application in flexible flow shop scheduling with assembly and machine deterioration effect","volume":"159","author":"Li","year":"2024","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.cor.2026.107538_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2022.104826","article-title":"Multi-objective iterated local search based on decomposition for job scheduling problems with machine deterioration effect","volume":"112","author":"Santos","year":"2022","journal-title":"Eng. Appl. Artif. Intel."},{"key":"10.1016\/j.cor.2026.107538_b0110","doi-asserted-by":"crossref","first-page":"3525","DOI":"10.1109\/ACCESS.2023.3234428","article-title":"An integrated flow shop scheduling problem of preventive maintenance and degradation with an improved NSGA-II algorithm","volume":"11","author":"Liu","year":"2023","journal-title":"IEEE Access"},{"key":"10.1016\/j.cor.2026.107538_b0115","doi-asserted-by":"crossref","first-page":"127885","DOI":"10.1109\/ACCESS.2025.3589064","article-title":"Flexible job shop scheduling based on energy consumption of method research","volume":"13","author":"Li","year":"2025","journal-title":"IEEE Access"},{"issue":"2","key":"10.1016\/j.cor.2026.107538_b0120","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1007\/s12293-025-00450-w","article-title":"Two-stage memetic algorithm for green flexible job shop scheduling problem considering machine deterioration and maintenance","volume":"17","author":"Zhu","year":"2025","journal-title":"Memet. Comput."},{"issue":"4","key":"10.1016\/j.cor.2026.107538_b0125","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1007\/s10845-022-01915-2","article-title":"On reliability of reinforcement learning based production scheduling systems: a comparative survey","volume":"33","author":"Waubert de Puiseau","year":"2022","journal-title":"J. Intell. Manuf."},{"key":"10.1016\/j.cor.2026.107538_b0130","doi-asserted-by":"crossref","first-page":"1673","DOI":"10.1109\/TASE.2024.3369019","article-title":"A two-stage individual feedback NSGA-III for dynamic many-objective flexible job shop scheduling problem","volume":"22","author":"Feng","year":"2024","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"5","key":"10.1016\/j.cor.2026.107538_b0135","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1002\/(SICI)1520-6750(199808)45:5<511::AID-NAV5>3.0.CO;2-6","article-title":"Scheduling deteriorating jobs to minimize makespan","volume":"45","author":"Kubiak","year":"1998","journal-title":"Nav. Res. Logist."},{"key":"10.1016\/j.cor.2026.107538_b0140","series-title":"Metal fatigue in engineering","author":"Stephens","year":"2001"},{"key":"10.1016\/j.cor.2026.107538_b0145","series-title":"Engineering tribology","author":"Stachowiak","year":"2014"},{"issue":"2","key":"10.1016\/j.cor.2026.107538_b0150","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1287\/moor.1.2.117","article-title":"The complexity of flowshop and jobshop scheduling","volume":"1","author":"Garey","year":"1976","journal-title":"Math. Oper. Res."},{"key":"10.1016\/j.cor.2026.107538_b0155","series-title":"Integer programming","author":"Wolsey","year":"2020"},{"issue":"2","key":"10.1016\/j.cor.2026.107538_b0160","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multiobjective genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.cor.2026.107538_b0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.109926","article-title":"An improved MOEA\/D for low-carbon many-objective flexible job shop scheduling problem","volume":"188","author":"Wang","year":"2024","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.cor.2026.107538_b0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2024.106952","article-title":"Mathematical modeling and hybrid evolutionary algorithm to schedule flexible job shop with discrete operation sequence flexibility","volume":"176","author":"Yuan","year":"2025","journal-title":"Comput. Oper. Res."},{"issue":"1","key":"10.1016\/j.cor.2026.107538_b0175","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/TEVC.2010.2087271","article-title":"Differential evolution with composite trial vector generation strategies and control parameters","volume":"15","author":"Wang","year":"2011","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.cor.2026.107538_b0180","series-title":"Theory of the Hypervolume Indicator: Optimal \u03bc-Distributions and the Choice of the Reference Point","first-page":"87","author":"Auger","year":"2009"},{"key":"10.1016\/j.cor.2026.107538_b0185","doi-asserted-by":"crossref","unstructured":"Ishibuchi H, Masuda H, Nojima Y. Selecting a small number of non-dominated solutions to be presented to the decision maker. In: 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Piscataway (NJ): IEEE; 2014. p. 3816\u20133821.","DOI":"10.1109\/SMC.2014.6974525"},{"key":"10.1016\/j.cor.2026.107538_b0190","series-title":"Statistical Approaches with Emphasis on Design of Experiments Applied to Chemical Processes","first-page":"137","article-title":"Application of Taguchi-based design of experiments for industrial chemical processes","author":"Davis","year":"2018"},{"key":"10.1016\/j.cor.2026.107538_b0195","unstructured":"Zitzler E, Laumanns M, Thiele L. SPEA2: improving the strength Pareto evolutionary algorithm. Z\u00fcrich: Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH); 2001. TIK Report No. 103."},{"key":"10.1016\/j.cor.2026.107538_b0200","series-title":"Proceedings of the 2002 Congress on Evolutionary Computation (CEC \u201902)","first-page":"1051","article-title":"MOPSO: a proposal for multiple objective particle swarm optimization","author":"Coello","year":"2002"},{"issue":"6","key":"10.1016\/j.cor.2026.107538_b0205","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","article-title":"MOEA\/D: a multiobjective evolutionary algorithm based on decomposition","volume":"11","author":"Zhang","year":"2007","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.cor.2026.107538_b0210","doi-asserted-by":"crossref","first-page":"186474","DOI":"10.1109\/ACCESS.2020.3029868","article-title":"Research on adaptive job shop scheduling problems based on dueling double DQN","volume":"8","author":"Han","year":"2020","journal-title":"IEEE Access"}],"container-title":["Computers &amp; Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0305054826001565?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0305054826001565?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T20:38:53Z","timestamp":1781296733000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0305054826001565"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":42,"alternative-id":["S0305054826001565"],"URL":"https:\/\/doi.org\/10.1016\/j.cor.2026.107538","relation":{},"ISSN":["0305-0548"],"issn-type":[{"value":"0305-0548","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Modeling and optimization of machine deterioration effects in low-carbon flexible job shop scheduling problems","name":"articletitle","label":"Article Title"},{"value":"Computers & Operations Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cor.2026.107538","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"107538"}}