{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T21:21:25Z","timestamp":1775683285096,"version":"3.50.1"},"reference-count":65,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2020,1,10]],"date-time":"2020-01-10T00:00:00Z","timestamp":1578614400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,10]],"date-time":"2020-01-10T00:00:00Z","timestamp":1578614400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"crossref","award":["2018YFB1701400"],"award-info":[{"award-number":["2018YFB1701400"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71473077"],"award-info":[{"award-number":["71473077"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University","award":["71775004"],"award-info":[{"award-number":["71775004"]}]},{"name":"State Key Laboratory of Construction Machinery","award":["SKLCM2019-03"],"award-info":[{"award-number":["SKLCM2019-03"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1007\/s10845-019-01521-9","type":"journal-article","created":{"date-parts":[[2020,1,10]],"date-time":"2020-01-10T16:02:59Z","timestamp":1578672179000},"page":"1443-1466","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":55,"title":["A memetic algorithm for multi-objective distributed production scheduling: minimizing the makespan and total energy consumption"],"prefix":"10.1007","volume":"31","author":[{"given":"Guiliang","family":"Gong","sequence":"first","affiliation":[]},{"given":"Raymond","family":"Chiong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1779-6634","authenticated-orcid":false,"given":"Qianwang","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Qiang","family":"Luo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,1,10]]},"reference":[{"issue":"1","key":"1521_CR1","first-page":"86","volume":"6","author":"A Awasthi","year":"2019","unstructured":"Awasthi, A., & Omrani, H. (2019). A goal-oriented approach based on fuzzy axiomatic design for sustainable mobility project selection. International Journal of Systems Science: Operations & Logistics,6(1), 86\u201398.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"1521_CR2","unstructured":"Blum, C., Chiong, R., Clerc, M., De Jong, K., Michalewicz, Z., Neri, F., et al. (2012). Evolutionary optimization. In T. Weise, Z. Michalewicz, & R. Chiong (Eds.), Variants of evolutionary algorithms for real-world applications (pp. 1\u201329). Berlin: Springer. ISBN 978-3-642-23423-1."},{"issue":"2","key":"1521_CR3","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1016\/j.eswa.2005.04.009","volume":"29","author":"FTS Chan","year":"2005","unstructured":"Chan, F. T. S., Chung, S. H., & Chan, P. L. Y. (2005). An adaptive genetic algorithm with dominated genes for distributed scheduling problems. Expert Systems with Applications,29(2), 364\u2013371.","journal-title":"Expert Systems with Applications"},{"issue":"8","key":"1521_CR4","doi-asserted-by":"crossref","first-page":"1973","DOI":"10.1007\/s10845-015-1084-y","volume":"28","author":"H-C Chang","year":"2017","unstructured":"Chang, H.-C., & Liu, T.-K. (2017). Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms. Journal of Intelligent Manufacturing,28(8), 1973\u20131986.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1521_CR5","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/978-3-319-57264-2_38","volume":"1","author":"I Chaouch","year":"2017","unstructured":"Chaouch, I., Driss, O. B., & Ghedira, K. (2017). A survey of optimization techniques for distributed job shop scheduling problems in multi-factories. Advances in Intelligent Systems and Computing,1, 369\u2013378.","journal-title":"Advances in Intelligent Systems and Computing"},{"issue":"5","key":"1521_CR6","doi-asserted-by":"crossref","first-page":"1903","DOI":"10.1007\/s10489-018-1343-7","volume":"49","author":"I Chaouch","year":"2019","unstructured":"Chaouch, I., Driss, O. B., & Ghedira, K. (2019). A novel dynamic assignment rule for the distributed job shop scheduling problem using a hybrid ant-based algorithm. Applied Intelligence,49(5), 1903\u20131924.","journal-title":"Applied Intelligence"},{"issue":"4","key":"1521_CR7","doi-asserted-by":"crossref","first-page":"983","DOI":"10.1016\/0360-8352(96)00047-2","volume":"30","author":"R Cheng","year":"1996","unstructured":"Cheng, R., Gen, M., & Tsujimura, Y. (1996). A tutorial survey of job-shop scheduling problems using genetic algorithms-representation. Computers & Industrial Engineering,30(4), 983\u2013997.","journal-title":"Computers & Industrial Engineering"},{"issue":"1","key":"1521_CR8","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1023\/A:1018930406487","volume":"70","author":"S Dauz\u00e8re-P\u00e9r\u00e8s","year":"1997","unstructured":"Dauz\u00e8re-P\u00e9r\u00e8s, S., & Paulli, J. (1997). An integrated approach for modeling and solving the general multiprocessor job-shop scheduling problem using tabu search. Annals of Operations Research,70(1), 281\u2013306.","journal-title":"Annals of Operations Research"},{"issue":"2","key":"1521_CR9","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.ejor.2009.01.008","volume":"200","author":"L De Giovanni","year":"2010","unstructured":"De Giovanni, L., & Pezzella, F. (2010). An improved genetic algorithm for the distributed and flexible job-shop scheduling problem. European Journal of Operational Research,200(2), 395\u2013408.","journal-title":"European Journal of Operational Research"},{"issue":"4","key":"1521_CR10","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","volume":"18","author":"K Deb","year":"2014","unstructured":"Deb, K., & Jain, H. (2014). An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: Solving problems with box constraints. IEEE Transactions on Evolutionary Computation,18(4), 577\u2013601.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"2","key":"1521_CR11","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation,6(2), 182\u2013197.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"23","key":"1521_CR12","doi-asserted-by":"crossref","first-page":"7160","DOI":"10.1080\/00207543.2018.1436789","volume":"56","author":"C Duan","year":"2018","unstructured":"Duan, C., Deng, C., Gharaei, A., Wu, J., & Wang, B. (2018). Selective maintenance scheduling under stochastic maintenance quality with multiple maintenance actions. International Journal of Production Research,56(23), 7160\u20137178.","journal-title":"International Journal of Production Research"},{"issue":"4","key":"1521_CR13","first-page":"231","volume":"2","author":"R Dubey","year":"2015","unstructured":"Dubey, R., Gunasekaran, A., Sushil, & Singh, T. (2015). Building theory of sustainable manufacturing using total interpretive structural modelling. International Journal of Systems Science: Operations & Logistics,2(4), 231\u2013247.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"1521_CR14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2016.06.014","volume":"109","author":"KZ Gao","year":"2016","unstructured":"Gao, K. Z., Suganthan, P. N., Pan, Q. K., Tasgetiren, M. F., & Sadollah, A. (2016). Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion. Knowledge-Based Systems,109, 1\u201316.","journal-title":"Knowledge-Based Systems"},{"key":"1521_CR15","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2019.1574364","author":"A Gharaei","year":"2019","unstructured":"Gharaei, A., Hoseini Shekarabi, S. A., & Karimi, M. (2019a). Modelling and optimal lot-sizing of the replenishments in constrained, multi-product and bi-objective EPQ models with defective products: Generalised cross decomposition. International Journal of Systems Science: Operations & Logistics. https:\/\/doi.org\/10.1080\/23302674.2019.1574364.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"1521_CR16","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2019.1656296","author":"A Gharaei","year":"2019","unstructured":"Gharaei, A., Hoseini Shekarabi, S. A., Karimi, M., Pourjavad, E., & Amjadian, A. (2019b). An integrated stochastic EPQ model under quality and green policies: Generalised cross decomposition under the separability approach. International Journal of Systems Science: Operations & Logistics. https:\/\/doi.org\/10.1080\/23302674.2019.1656296.","journal-title":"International Journal of Systems Science: Operations & Logistics.DOI"},{"key":"1521_CR17","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2019.1585595","author":"A Gharaei","year":"2019","unstructured":"Gharaei, A., Karimi, M., & Hoseini Shekarabi, S. A. (2019c). Joint economic lot-sizing in multi-product multi-level integrated supply chains: Generalized benders decomposition. International Journal of Systems Science: Operations & Logistics. https:\/\/doi.org\/10.1080\/23302674.2019.1585595.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"1521_CR18","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.apm.2018.11.035","volume":"69","author":"A Gharaei","year":"2019","unstructured":"Gharaei, A., Karimi, M., & Shekarabi, S. A. H. (2019d). An integrated multi-product, multi-buyer supply chain under penalty, green, and quality control polices and a vendor managed inventory with consignment stock agreement: The outer approximation with equality relaxation and augmented penalty algorithm. Applied Mathematical Modelling,69, 223\u2013254.","journal-title":"Applied Mathematical Modelling"},{"issue":"4","key":"1521_CR19","first-page":"193","volume":"1","author":"B Giri","year":"2014","unstructured":"Giri, B., & Bardhan, S. (2014). Coordinating a supply chain with backup supplier through buyback contract under supply disruption and uncertain demand. International Journal of Systems Science: Operations & Logistics,1(4), 193\u2013204.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"1521_CR20","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2018.1542042","author":"B Giri","year":"2018","unstructured":"Giri, B., & Masanta, M. (2018). Developing a closed-loop supply chain model with price and quality dependent demand and learning in production in a stochastic environment. International Journal of Systems Science: Operations & Logistics. https:\/\/doi.org\/10.1080\/23302674.2018.1542042.","journal-title":"International Journal of Systems Science: Operations & Logistics."},{"key":"1521_CR21","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1016\/j.apm.2017.05.039","volume":"52","author":"BC Giri","year":"2017","unstructured":"Giri, B. C., Roy, B., & Maiti, T. (2017). Coordinating a three-echelon supply chain under price and quality dependent demand with sub-supply chain and RFM strategies. Applied Mathematical Modelling,52, 747\u2013769.","journal-title":"Applied Mathematical Modelling"},{"key":"1521_CR22","doi-asserted-by":"crossref","first-page":"112902","DOI":"10.1016\/j.eswa.2019.112902","volume":"141","author":"G Gong","year":"2020","unstructured":"Gong, G., Chiong, R., Deng, Q., Han, W., Zhang, L., Lin, W., et al. (2020). Energy-efficient flexible flow shop scheduling with worker flexibility. Expert Systems with Applications,141, 112902.","journal-title":"Expert Systems with Applications"},{"key":"1521_CR23","doi-asserted-by":"crossref","first-page":"104840","DOI":"10.1016\/j.knosys.2019.07.011","volume":"182","author":"G Gong","year":"2019","unstructured":"Gong, G., Deng, Q., Chiong, R., Gong, X., & Huang, H. (2019). An effective memetic algorithm for multi-objective job-shop scheduling. Knowledge-Based Systems,182, 104840.","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"1521_CR24","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1162\/evco.2008.16.2.225","volume":"16","author":"M Gong","year":"2009","unstructured":"Gong, M., Jiao, L., Du, H., & Bo, L. (2009). Multiobjective immune algorithm with nondominated neighbor-based selection. Evolutionary Computation,16(2), 225\u2013255.","journal-title":"Evolutionary Computation"},{"issue":"2","key":"1521_CR25","first-page":"116","volume":"5","author":"Y Hao","year":"2018","unstructured":"Hao, Y., Helo, P., & Shamsuzzoha, A. (2018). Virtual factory system design and implementation: Integrated sustainable manufacturing. International Journal of Systems Science: Operations & Logistics,5(2), 116\u2013132.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"issue":"3","key":"1521_CR26","first-page":"237","volume":"6","author":"SA Hoseini Shekarabi","year":"2019","unstructured":"Hoseini Shekarabi, S. A., Gharaei, A., & Karimi, M. (2019). Modelling and optimal lot-sizing of integrated multi-level multi-wholesaler supply chains under the shortage and limited warehouse space: Generalised outer approximation. International Journal of Systems Science: Operations & Logistics,6(3), 237\u2013257.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"1521_CR27","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.engappai.2016.04.005","volume":"53","author":"CY Hsu","year":"2016","unstructured":"Hsu, C. Y., Kao, B. R., Ho, V. L., & Lai, K. R. (2016). Agent-based fuzzy constraint-directed negotiation mechanism for distributed job shop scheduling. Engineering Applications of Artificial Intelligence,53, 140\u2013154.","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"4","key":"1521_CR28","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/BF01719451","volume":"15","author":"J Hurink","year":"1994","unstructured":"Hurink, J., Jurisch, B., & Thole, M. (1994). Tabu search for the job-shop scheduling problem with multi-purpose machines. Operations-Research-Spektrum,15(4), 205\u2013215.","journal-title":"Operations-Research-Spektrum"},{"issue":"2","key":"1521_CR29","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.cie.2007.06.024","volume":"53","author":"HZ Jia","year":"2007","unstructured":"Jia, H. Z., Fuh, J. Y. H., Nee, A. Y. C., & Zhang, Y. F. (2007). Integration of genetic algorithm and Gantt chart for job shop scheduling in distributed manufacturing systems. Computers & Industrial Engineering,53(2), 313\u2013320.","journal-title":"Computers & Industrial Engineering"},{"issue":"3","key":"1521_CR30","first-page":"245","volume":"60","author":"I Kacem","year":"2014","unstructured":"Kacem, I., Hammadi, S., & Borne, P. (2014). Pareto-optimality approach for flexible job-shop scheduling problems: Hybridization of evolutionary algorithms and fuzzy logic. Mathematics & Computers in Simulation,60(3), 245\u2013276.","journal-title":"Mathematics & Computers in Simulation"},{"issue":"2","key":"1521_CR31","first-page":"99","volume":"5","author":"N Kazemi","year":"2018","unstructured":"Kazemi, N., Abdul-Rashid, S. H., Ghazilla, R. A. R., Shekarian, E., & Zanoni, S. (2018). Economic order quantity models for items with imperfect quality and emission considerations. International Journal of Systems Science: Operations & Logistics,5(2), 99\u2013115.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"1521_CR32","doi-asserted-by":"crossref","first-page":"58883","DOI":"10.1109\/ACCESS.2018.2873401","volume":"6","author":"J-Q Li","year":"2018","unstructured":"Li, J.-Q., Duan, P., Cao, J., Lin, X.-P., & Han, Y.-Y. (2018). A hybrid Pareto-based tabu search for the distributed flexible job shop scheduling problem with E\/T criteria. IEEE Access,6, 58883\u201358897.","journal-title":"IEEE Access"},{"key":"1521_CR33","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.swevo.2017.04.007","volume":"36","author":"J Lin","year":"2017","unstructured":"Lin, J., Wang, Z.-J., & Li, X. (2017). A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem. Swarm and Evolutionary Computation,36, 124\u2013135.","journal-title":"Swarm and Evolutionary Computation"},{"key":"1521_CR34","doi-asserted-by":"crossref","first-page":"1598","DOI":"10.1109\/ACCESS.2015.2388486","volume":"2","author":"T-K Liu","year":"2014","unstructured":"Liu, T.-K., Chen, Y.-P., & Chou, J.-H. (2014). Solving distributed and flexible job-shop scheduling problems for a real-world fastener manufacturer. IEEE Access,2, 1598\u20131606.","journal-title":"IEEE Access"},{"issue":"1","key":"1521_CR35","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s10845-015-1083-z","volume":"29","author":"P-H Lu","year":"2018","unstructured":"Lu, P.-H., Wu, M.-C., Tan, H., Peng, Y.-H., & Chen, C.-F. (2018). A genetic algorithm embedded with a concise chromosome representation for distributed and flexible job-shop scheduling problems. Journal of Intelligent Manufacturing,29(1), 19\u201334.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1521_CR36","volume-title":"Design & analysis of experiments","author":"DC Montgomery","year":"2008","unstructured":"Montgomery, D. C. (2008). Design & analysis of experiments. Hoboken: Wiley."},{"issue":"17","key":"1521_CR37","doi-asserted-by":"crossref","first-page":"7754","DOI":"10.1016\/j.eswa.2014.06.023","volume":"41","author":"B Naderi","year":"2014","unstructured":"Naderi, B., & Azab, A. (2014). Modeling and heuristics for scheduling of distributed job shops. Expert Systems with Applications,41(17), 7754\u20137763.","journal-title":"Expert Systems with Applications"},{"issue":"1\u20134","key":"1521_CR38","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1007\/s00170-015-7080-8","volume":"81","author":"B Naderi","year":"2015","unstructured":"Naderi, B., & Azab, A. (2015). An improved model and novel simulated annealing for distributed job shop problems. The International Journal of Advanced Manufacturing Technology,81(1\u20134), 693\u2013703.","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"4","key":"1521_CR39","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1016\/j.cor.2009.06.019","volume":"37","author":"B Naderi","year":"2010","unstructured":"Naderi, B., & Ruiz, R. (2010). The distributed permutation flowshop scheduling problem. Computers & Operations Research,37(4), 754\u2013768.","journal-title":"Computers & Operations Research"},{"issue":"2","key":"1521_CR40","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.ejor.2014.05.024","volume":"239","author":"B Naderi","year":"2014","unstructured":"Naderi, B., & Ruiz, R. (2014). A scatter search algorithm for the distributed permutation flowshop scheduling problem. European Journal of Operational Research,239(2), 323\u2013334.","journal-title":"European Journal of Operational Research"},{"key":"1521_CR41","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.eswa.2016.03.015","volume":"56","author":"AH Nobil","year":"2016","unstructured":"Nobil, A. H., Sedigh, A. H. A., & C\u00e1rdenas-Barr\u00f3n, L. E. (2016). A multi-machine multi-product EPQ problem for an imperfect manufacturing system considering utilization and allocation decisions. Expert Systems with Applications,56, 310\u2013319.","journal-title":"Expert Systems with Applications"},{"key":"1521_CR42","first-page":"1","volume":"9","author":"AH Nobil","year":"2017","unstructured":"Nobil, A. H., Sedigh, A. H. A., & C\u00e1rdenas-Barr\u00f3n, L. E. (2017a). A multiproduct single machine economic production quantity (EPQ) inventory model with discrete delivery order, joint production policy and budget constraints. Annals of Operations Research, 9, 1\u201337.","journal-title":"Annals of Operations Research"},{"issue":"4","key":"1521_CR43","first-page":"2331","volume":"25","author":"AH Nobil","year":"2017","unstructured":"Nobil, A. H., Sedighb, A. H. A., & C\u00e1rdenas-Barr\u00f3nc, L. E. (2017b). Multi-machine economic production quantity for items with scrapped and rework with shortages and allocation decisions 2. Scientia Iranica: Transaction E, Industrial Engineering, 25(4), 2331\u20132346.","journal-title":"Scientia Iranica: Transaction E, Industrial Engineering"},{"key":"1521_CR44","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.ijpe.2015.08.004","volume":"169","author":"SHR Pasandideh","year":"2015","unstructured":"Pasandideh, S. H. R., Niaki, S. T. A., Nobil, A. H., & C\u00e1rdenas-Barr\u00f3n, L. E. (2015). A multiproduct single machine economic production quantity model for an imperfect production system under warehouse construction cost. International Journal of Production Economics,169, 203\u2013214.","journal-title":"International Journal of Production Economics"},{"issue":"9","key":"1521_CR45","doi-asserted-by":"crossref","first-page":"2642","DOI":"10.1080\/00207543.2019.1567950","volume":"57","author":"DA Phan","year":"2019","unstructured":"Phan, D. A., Vo, T. L. H., & Lai, A. N. (2019). Supply chain coordination under trade credit and retailer effort. International Journal of Production Research,57(9), 2642\u20132655.","journal-title":"International Journal of Production Research"},{"issue":"2","key":"1521_CR46","first-page":"162","volume":"6","author":"M Rabbani","year":"2019","unstructured":"Rabbani, M., Foroozesh, N., Mousavi, S. M., & Farrokhi-Asl, H. (2019). Sustainable supplier selection by a new decision model based on interval-valued fuzzy sets and possibilistic statistical reference point systems under uncertainty. International Journal of Systems Science: Operations & Logistics,6(2), 162\u2013178.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"1521_CR47","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2018.1506061","author":"M Rabbani","year":"2018","unstructured":"Rabbani, M., Hosseini-Mokhallesun, S. A. A., Ordibazar, A. H., & Farrokhi-Asl, H. (2018). A hybrid robust possibilistic approach for a sustainable supply chain location-allocation network design. International Journal of Systems Science: Operations & Logistics. https:\/\/doi.org\/10.1080\/23302674.2018.1506061.","journal-title":"International Journal of Systems Science: Operations & Logistics."},{"key":"1521_CR48","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.asoc.2015.11.034","volume":"40","author":"AP Rifai","year":"2016","unstructured":"Rifai, A. P., Nguyen, H.-T., & Dawal, S. Z. M. (2016). Multi-objective adaptive large neighborhood search for distributed reentrant permutation flow shop scheduling. Applied Soft Computing,40, 42\u201357.","journal-title":"Applied Soft Computing"},{"key":"1521_CR49","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2018.1536231","author":"S Sarkar","year":"2018","unstructured":"Sarkar, S., & Giri, B. (2018). Stochastic supply chain model with imperfect production and controllable defective rate. International Journal of Systems Science: Operations & Logistics. https:\/\/doi.org\/10.1080\/23302674.2018.1536231.","journal-title":"International Journal of Systems Science: Operations & Logistics."},{"key":"1521_CR50","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2018.1554168","author":"R Sayyadi","year":"2018","unstructured":"Sayyadi, R., & Awasthi, A. (2018a). An integrated approach based on system dynamics and ANP for evaluating sustainable transportation policies. International Journal of Systems Science: Operations & Logistics. https:\/\/doi.org\/10.1080\/23302674.2018.1554168.","journal-title":"International Journal of Systems Science: Operations & Logistics."},{"issue":"2","key":"1521_CR51","first-page":"161","volume":"5","author":"R Sayyadi","year":"2018","unstructured":"Sayyadi, R., & Awasthi, A. (2018b). A simulation-based optimisation approach for identifying key determinants for sustainable transportation planning. International Journal of Systems Science: Operations & Logistics,5(2), 161\u2013174.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"key":"1521_CR52","doi-asserted-by":"publisher","DOI":"10.1080\/23302674.2018.1487606","author":"NH Shah","year":"2018","unstructured":"Shah, N. H., Chaudhari, U., & C\u00e1rdenas-Barr\u00f3n, L. E. (2018). Integrating credit and replenishment policies for deteriorating items under quadratic demand in a three echelon supply chain. International Journal of Systems Science: Operations & Logistics. https:\/\/doi.org\/10.1080\/23302674.2018.1487606.","journal-title":"International Journal of Systems Science: Operations & Logistics."},{"key":"1521_CR53","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.knosys.2017.09.026","volume":"137","author":"W Shao","year":"2017","unstructured":"Shao, W., Pi, D., & Shao, Z. (2017). Optimization of makespan for the distributed no-wait flow shop scheduling problem with iterated greedy algorithms. Knowledge-Based Systems,137, 163\u2013181.","journal-title":"Knowledge-Based Systems"},{"issue":"3","key":"1521_CR54","doi-asserted-by":"crossref","first-page":"1344","DOI":"10.1109\/TASE.2018.2886303","volume":"16","author":"W Shao","year":"2019","unstructured":"Shao, W., Pi, D., & Shao, Z. (2019). A Pareto-based estimation of distribution algorithm for solving multiobjective distributed no-wait flow-shop scheduling problem with sequence-dependent setup time. IEEE Transactions on Automation Science and Engineering, 16(3), 1344\u20131360.","journal-title":"IEEE Transactions on Automation Science and Engineering"},{"key":"1521_CR55","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.1287\/mnsc.38.10.1495","volume":"38","author":"R Storer","year":"1992","unstructured":"Storer, R., Wu, S., & Vaccari, R. (1992). New search spaces for sequencing instances with application to job shop. Management Science,38, 1495\u20131509.","journal-title":"Management Science"},{"issue":"3","key":"1521_CR56","first-page":"177","volume":"2","author":"Y-C Tsao","year":"2015","unstructured":"Tsao, Y.-C. (2015). Design of a carbon-efficient supply-chain network under trade credits. International Journal of Systems Science: Operations & Logistics,2(3), 177\u2013186.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"issue":"1","key":"1521_CR57","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1109\/TSMC.2015.2416127","volume":"46","author":"S-Y Wang","year":"2016","unstructured":"Wang, S.-Y., & Wang, L. (2016). An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem. IEEE Transactions on Systems, Man, and Cybernetics: Systems,46(1), 139\u2013149.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"issue":"1","key":"1521_CR58","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.ijpe.2013.05.004","volume":"145","author":"S-Y Wang","year":"2013","unstructured":"Wang, S.-Y., Wang, L., Liu, M., & Xu, Y. (2013). An effective estimation of distribution algorithm for solving the distributed permutation flow-shop scheduling problem. International Journal of Production Economics,145(1), 387\u2013396.","journal-title":"International Journal of Production Economics"},{"issue":"2","key":"1521_CR59","doi-asserted-by":"crossref","first-page":"151","DOI":"10.7232\/iems.2013.12.2.151","volume":"12","author":"W Wisittipanich","year":"2013","unstructured":"Wisittipanich, W., & Kachitvichyanukul, V. (2013). An efficient PSO algorithm for finding pareto-frontier in multi-objective job shop scheduling problems. Industrial Engineering & Management Systems,12(2), 151\u2013160.","journal-title":"Industrial Engineering & Management Systems"},{"issue":"4","key":"1521_CR60","first-page":"1","volume":"11","author":"X Wu","year":"2019","unstructured":"Wu, X., Liu, X., & Zhao, N. (2019). An improved differential evolution algorithm for solving a distributed assembly flexible job shop scheduling problem. Memetic Computing, 11(4), 1\u201321.","journal-title":"Memetic Computing"},{"issue":"9","key":"1521_CR61","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1080\/0305215X.2013.827673","volume":"46","author":"Y Xu","year":"2014","unstructured":"Xu, Y., Wang, L., Wang, S., & Liu, M. (2014). An effective hybrid immune algorithm for solving the distributed permutation flow-shop scheduling problem. Engineering Optimization,46(9), 1269\u20131283.","journal-title":"Engineering Optimization"},{"issue":"2","key":"1521_CR62","first-page":"79","volume":"3","author":"S Yin","year":"2016","unstructured":"Yin, S., Nishi, T., & Zhang, G. (2016). A game theoretic model for coordination of single manufacturer and multiple suppliers with quality variations under uncertain demands. International Journal of Systems Science: Operations & Logistics,3(2), 79\u201391.","journal-title":"International Journal of Systems Science: Operations & Logistics"},{"issue":"1","key":"1521_CR63","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1109\/TASE.2013.2274517","volume":"12","author":"Y Yuan","year":"2015","unstructured":"Yuan, Y., & Xu, H. (2015). Multiobjective flexible job shop scheduling using memetic algorithms. IEEE Transactions on Automation Science and Engineering,12(1), 336\u2013353.","journal-title":"IEEE Transactions on Automation Science and Engineering"},{"key":"1521_CR64","doi-asserted-by":"crossref","first-page":"3361","DOI":"10.1016\/j.jclepro.2015.09.097","volume":"112","author":"R Zhang","year":"2016","unstructured":"Zhang, R., & Chiong, R. (2016). Solving the energy-efficient job shop scheduling problem: A multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption. Journal of Cleaner Production,112, 3361\u20133375.","journal-title":"Journal of Cleaner Production"},{"issue":"1","key":"1521_CR65","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s11227-013-0986-8","volume":"67","author":"M Ziaee","year":"2014","unstructured":"Ziaee, M. (2014). A heuristic algorithm for the distributed and flexible job-shop scheduling problem. The Journal of Supercomputing,67(1), 69\u201383.","journal-title":"The Journal of Supercomputing"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-019-01521-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10845-019-01521-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-019-01521-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,9]],"date-time":"2021-01-09T03:59:13Z","timestamp":1610164753000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10845-019-01521-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,10]]},"references-count":65,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["1521"],"URL":"https:\/\/doi.org\/10.1007\/s10845-019-01521-9","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,10]]},"assertion":[{"value":"5 August 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 December 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 January 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}