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Published in: Journal of Intelligent Manufacturing 8/2023

02-09-2022

Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environment

Authors: Zhen Wang, Qianwang Deng, Like Zhang, Xiaoyan Liu

Published in: Journal of Intelligent Manufacturing | Issue 8/2023

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Abstract

The previous research on distributed production scheduling focuses on supply side, ignoring the interconnection of supply side and demand side: the delivery time of spare parts from the supply side will influence the maintenance scheduling of distributed equipment of demand side, while the maintenance scheduling of distributed equipment will affect the scheduling decision of supply of spare parts. In addition, in practice, inventory is an important link between manufacturers and customers. Therefore, we firstly propose an optimal scheduling problem of integrated production, inventory and imperfect maintenance with mutual feedback of supply side and demand side, shortened to PIM-DCSP. In PIM-DCSP, production resources and inventory work together to provide spare parts for demand side, while demand side makes imperfect maintenance scheduling for its distributed equipment to postpone deterioration and finally extend the operating time of equipment. The goal of PIM-DCSP is to make an optimal scheduling that jointly optimizes the scheduling of both sides, that is, reasonably arrange production resources, inventory and workers to realize the minimization of the total cost of supplier and the total cost of demander respectively. A mathematical model is established to describe the presented problem and an improved adaptive cooperative algorithm (IACA) is designed. Effective operators including two heuristic initialization methods, six problem-oriented and two random local search structures are developed to strengthen population diversity and search capability. The comparison experiment of IACA and three other outstanding algorithms is carried out on 96 instances, and the superiority of IACA in solving PIM-DCSP is certificated thoroughly.

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Literature
go back to reference Ab Rahman, M., Leuveano, R., et al. (2017). Incorporating logistic costs into a single vendor-buyer JELS model. Applied Mathematical Modelling, 40(23–24), 10809–10819. Ab Rahman, M., Leuveano, R., et al. (2017). Incorporating logistic costs into a single vendor-buyer JELS model. Applied Mathematical Modelling, 40(23–24), 10809–10819.
go back to reference Abedi, M., Chiong, R., Noman, N., et al. (2020). A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines. Expert Systems with Applications, 157, 113348.CrossRef Abedi, M., Chiong, R., Noman, N., et al. (2020). A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines. Expert Systems with Applications, 157, 113348.CrossRef
go back to reference An, Y., Chen, X., Li, Y., et al. (2021). Flexible job-shop scheduling and heterogeneous repairman assignment with maintenance time window and employee timetable constraints. Expert Systems with Applications, 186, 115693.CrossRef An, Y., Chen, X., Li, Y., et al. (2021). Flexible job-shop scheduling and heterogeneous repairman assignment with maintenance time window and employee timetable constraints. Expert Systems with Applications, 186, 115693.CrossRef
go back to reference Azoury, K. S., & Miyaoka, J. (2020). Optimal and simple approximate solutions to a production-inventory system with stochastic and deterministic demand. European Journal of Operational Research, 286(1), 178–189.CrossRef Azoury, K. S., & Miyaoka, J. (2020). Optimal and simple approximate solutions to a production-inventory system with stochastic and deterministic demand. European Journal of Operational Research, 286(1), 178–189.CrossRef
go back to reference Chaouch, I., Driss, O. B., & Ghedira, K. (2018). A novel dynamic assignment rule for the distributed job shop scheduling problem using a hybrid ant-based algorithm. Applied Intelligence, 49(5), 1903–1924.CrossRef Chaouch, I., Driss, O. B., & Ghedira, K. (2018). A novel dynamic assignment rule for the distributed job shop scheduling problem using a hybrid ant-based algorithm. Applied Intelligence, 49(5), 1903–1924.CrossRef
go back to reference Chen, X., An, Y., Zhang, Z., et al. (2020). An approximate nondominated sorting genetic algorithm to integrate optimization of production scheduling and accurate maintenance based on reliability intervals. Journal of Manufacturing Systems, 54, 227–241.CrossRef Chen, X., An, Y., Zhang, Z., et al. (2020). An approximate nondominated sorting genetic algorithm to integrate optimization of production scheduling and accurate maintenance based on reliability intervals. Journal of Manufacturing Systems, 54, 227–241.CrossRef
go back to reference Chen, X., Xiao, L., & Zhang, X. (2014). A production scheduling problem considering random failure and imperfect preventive maintenance. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229(1), 26–35. Chen, X., Xiao, L., & Zhang, X. (2014). A production scheduling problem considering random failure and imperfect preventive maintenance. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229(1), 26–35.
go back to reference Cheng, B.-Y., Leung, J. Y. T., & Li, K. (2017). Integrated scheduling on a batch machine to minimize production, inventory and distribution costs. European Journal of Operational Research, 258(1), 104–112.CrossRef Cheng, B.-Y., Leung, J. Y. T., & Li, K. (2017). Integrated scheduling on a batch machine to minimize production, inventory and distribution costs. European Journal of Operational Research, 258(1), 104–112.CrossRef
go back to reference Cheng, C. Y., & Prabhu, V. (2012). Evaluation models for service oriented process in spare parts management. Journal of Intelligent Manufacturing, 23(4), 1403–1417.CrossRef Cheng, C. Y., & Prabhu, V. (2012). Evaluation models for service oriented process in spare parts management. Journal of Intelligent Manufacturing, 23(4), 1403–1417.CrossRef
go back to reference Conceicao, S. V., da Silva, G. L. C., Lu, D. W., et al. (2015). A demand classification scheme for spare part inventory model subject to stochastic demand and lead time. Production Planning & Control, 26(16), 1318–1331.CrossRef Conceicao, S. V., da Silva, G. L. C., Lu, D. W., et al. (2015). A demand classification scheme for spare part inventory model subject to stochastic demand and lead time. Production Planning & Control, 26(16), 1318–1331.CrossRef
go back to reference Deb, K., Pratap, A., Agarwal, S., et al. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. Ieee Transactions on Evolutionary Computation, 6(2), 182–197.CrossRef Deb, K., Pratap, A., Agarwal, S., et al. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. Ieee Transactions on Evolutionary Computation, 6(2), 182–197.CrossRef
go back to reference Diabat, A., & Deskoores, R. (2016). A hybrid genetic algorithm based heuristic for an integrated supply chain problem. Journal of Manufacturing Systems, 38, 172–180.CrossRef Diabat, A., & Deskoores, R. (2016). A hybrid genetic algorithm based heuristic for an integrated supply chain problem. Journal of Manufacturing Systems, 38, 172–180.CrossRef
go back to reference Ebrahimipour, V., Najjarbashi, A., & Sheikhalishahi, M. (2013). Multi-objective modeling for preventive maintenance scheduling in a multiple production line. Journal of Intelligent Manufacturing, 26(1), 111–122.CrossRef Ebrahimipour, V., Najjarbashi, A., & Sheikhalishahi, M. (2013). Multi-objective modeling for preventive maintenance scheduling in a multiple production line. Journal of Intelligent Manufacturing, 26(1), 111–122.CrossRef
go back to reference Fernandez-Viagas, V., & Framinan, J. M. (2014). A bounded-search iterated greedy algorithm for the distributed permutation flowshop scheduling problem. International Journal of Production Research, 53(4), 1111–1123.CrossRef Fernandez-Viagas, V., & Framinan, J. M. (2014). A bounded-search iterated greedy algorithm for the distributed permutation flowshop scheduling problem. International Journal of Production Research, 53(4), 1111–1123.CrossRef
go back to reference Forrester, J. C., & Ury, H. K. (1969). The Signed-Rank (Wilcoxon) test in the rapid analysis of biological data. Lancet (london, England), 1(7588), 239–241.CrossRef Forrester, J. C., & Ury, H. K. (1969). The Signed-Rank (Wilcoxon) test in the rapid analysis of biological data. Lancet (london, England), 1(7588), 239–241.CrossRef
go back to reference Ganji, M., Kazemipoor, H., Hadji Molana, S. M., et al. (2020). A green multi-objective integrated scheduling of production and distribution with heterogeneous fleet vehicle routing and time windows. Journal of Cleaner Production, 259, 120824.CrossRef Ganji, M., Kazemipoor, H., Hadji Molana, S. M., et al. (2020). A green multi-objective integrated scheduling of production and distribution with heterogeneous fleet vehicle routing and time windows. Journal of Cleaner Production, 259, 120824.CrossRef
go back to reference Gao, J., Gen, M., & Sun, L. (2006). Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm. Journal of Intelligent Manufacturing, 17(4), 493–507.CrossRef Gao, J., Gen, M., & Sun, L. (2006). Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm. Journal of Intelligent Manufacturing, 17(4), 493–507.CrossRef
go back to reference Giri, B., & Bardhan, S. (2015). A vendor-buyer JELS model with stock-dependent demand and consigned inventory under buyer’s space constraint. Operation Research, 15(1), 79–93.CrossRef Giri, B., & Bardhan, S. (2015). A vendor-buyer JELS model with stock-dependent demand and consigned inventory under buyer’s space constraint. Operation Research, 15(1), 79–93.CrossRef
go back to reference Gong, G., Chiong, R., Deng, Q., et al. (2020). A memetic algorithm for multi-objective distributed production scheduling: Minimizing the makespan and total energy consumption. Journal of Intelligent Manufacturing, 31(6), 1443–1466.CrossRef Gong, G., Chiong, R., Deng, Q., et al. (2020). A memetic algorithm for multi-objective distributed production scheduling: Minimizing the makespan and total energy consumption. Journal of Intelligent Manufacturing, 31(6), 1443–1466.CrossRef
go back to reference Gong, M. G., Jiao, L. C., Du, H. F., et al. (2008). Multiobjective immune algorithm with nondominated neighbor-based selection. Evolutionary Computation, 16(2), 225–255.CrossRef Gong, M. G., Jiao, L. C., Du, H. F., et al. (2008). Multiobjective immune algorithm with nondominated neighbor-based selection. Evolutionary Computation, 16(2), 225–255.CrossRef
go back to reference Harifi, S., Khalilian, M., Mohammadzadeh, J., et al. (2020). Optimization in solving inventory control problem using nature inspired Emperor Penguins Colony algorithm. Journal of Intelligent Manufacturing, 32(5), 1361–1375.CrossRef Harifi, S., Khalilian, M., Mohammadzadeh, J., et al. (2020). Optimization in solving inventory control problem using nature inspired Emperor Penguins Colony algorithm. Journal of Intelligent Manufacturing, 32(5), 1361–1375.CrossRef
go back to reference Huang, J.-P., Pan, Q.-K., & Gao, L. (2020). An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times. Swarm and Evolutionary Computation, 59, 100742.CrossRef Huang, J.-P., Pan, Q.-K., & Gao, L. (2020). An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times. Swarm and Evolutionary Computation, 59, 100742.CrossRef
go back to reference Huang, R.-H. (2010). Multi-objective job-shop scheduling with lot-splitting production. International Journal of Production Economics, 124(1), 206–213.CrossRef Huang, R.-H. (2010). Multi-objective job-shop scheduling with lot-splitting production. International Journal of Production Economics, 124(1), 206–213.CrossRef
go back to reference Huang, Y.-Y., Pan, Q.-K., Huang, J.-P., et al. (2021). An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem. Computers & Industrial Engineering, 152, 107021.CrossRef Huang, Y.-Y., Pan, Q.-K., Huang, J.-P., et al. (2021). An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem. Computers & Industrial Engineering, 152, 107021.CrossRef
go back to reference Hui, I., & Lau, H. (2003). A dynamic inventory-production scheduling model for small scale organisations. International Journal of Advanced Manufacturing Technology, 22(1–2), 89–100.CrossRef Hui, I., & Lau, H. (2003). A dynamic inventory-production scheduling model for small scale organisations. International Journal of Advanced Manufacturing Technology, 22(1–2), 89–100.CrossRef
go back to reference Hung, Y.-F., Bao, J.-S., & Cheng, Y.-E. (2017). Minimizing earliness and tardiness costs in scheduling jobs with time windows. Computers & Industrial Engineering, 113, 871–890.CrossRef Hung, Y.-F., Bao, J.-S., & Cheng, Y.-E. (2017). Minimizing earliness and tardiness costs in scheduling jobs with time windows. Computers & Industrial Engineering, 113, 871–890.CrossRef
go back to reference Inkaya, T., & Akansel, M. (2017). Coordinated scheduling of the transfer lots in an assembly-type supply chain: A genetic algorithm approach. Journal of Intelligent Manufacturing, 28(4), 1005–1015.CrossRef Inkaya, T., & Akansel, M. (2017). Coordinated scheduling of the transfer lots in an assembly-type supply chain: A genetic algorithm approach. Journal of Intelligent Manufacturing, 28(4), 1005–1015.CrossRef
go back to reference Jing, X.-L., Pan, Q.-K., Gao, L., et al. (2020). An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows. Applied Soft Computing, 96, 106629.CrossRef Jing, X.-L., Pan, Q.-K., Gao, L., et al. (2020). An effective Iterated Greedy algorithm for the distributed permutation flowshop scheduling with due windows. Applied Soft Computing, 96, 106629.CrossRef
go back to reference Keizer, M., Flapper, S., & Teunter, R. (2017). Condition-based maintenance policies for systems with multiple dependent components: A review. European Journal of Operational Research, 261(2), 405–420.CrossRef Keizer, M., Flapper, S., & Teunter, R. (2017). Condition-based maintenance policies for systems with multiple dependent components: A review. European Journal of Operational Research, 261(2), 405–420.CrossRef
go back to reference Lee, W., Wang, S., & Chen, W. (2017). Forward and backward stocking policies for a two-level supply chain with consignment stock agreement and stock-dependent demand. European Journal of Operational Research, 256(3), 830–840.CrossRef Lee, W., Wang, S., & Chen, W. (2017). Forward and backward stocking policies for a two-level supply chain with consignment stock agreement and stock-dependent demand. European Journal of Operational Research, 256(3), 830–840.CrossRef
go back to reference Lei, D., Yuan, Y., Cai, J., et al. (2019). An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling. International Journal of Production Research, 58(2), 597–614.CrossRef Lei, D., Yuan, Y., Cai, J., et al. (2019). An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling. International Journal of Production Research, 58(2), 597–614.CrossRef
go back to reference Li, L., Liu, M., Shen, W. M., et al. (2017). An improved stochastic programming model for supply chain planning of MRO spare parts. Applied Mathematical Modelling, 47, 189–207.CrossRef Li, L., Liu, M., Shen, W. M., et al. (2017). An improved stochastic programming model for supply chain planning of MRO spare parts. Applied Mathematical Modelling, 47, 189–207.CrossRef
go back to reference Li, Y., Li, X., Gao, L., et al. (2020). An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times. Computers & Industrial Engineering, 147, 106638.CrossRef Li, Y., Li, X., Gao, L., et al. (2020). An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times. Computers & Industrial Engineering, 147, 106638.CrossRef
go back to reference Liao, W., Chen, M., & Yang, X. (2017). Joint optimization of preventive maintenance and production scheduling for parallel machines system. Journal of Intelligent & Fuzzy Systems, 32(1), 913–923.CrossRef Liao, W., Chen, M., & Yang, X. (2017). Joint optimization of preventive maintenance and production scheduling for parallel machines system. Journal of Intelligent & Fuzzy Systems, 32(1), 913–923.CrossRef
go back to reference Lin, S.-W., Ying, K.-C., Chiang, Y.-I., et al. (2016). Minimising total weighted earliness and tardiness penalties on identical parallel machines using a fast ruin-and-recreate algorithm. International Journal of Production Research, 54(22), 6879–6890.CrossRef Lin, S.-W., Ying, K.-C., Chiang, Y.-I., et al. (2016). Minimising total weighted earliness and tardiness penalties on identical parallel machines using a fast ruin-and-recreate algorithm. International Journal of Production Research, 54(22), 6879–6890.CrossRef
go back to reference Lu, P.-H., Wu, M.-C., Tan, H., et al. (2015). A genetic algorithm embedded with a concise chromosome representation for distributed and flexible job-shop scheduling problems. Journal of Intelligent Manufacturing, 29(1), 19–34.CrossRef Lu, P.-H., Wu, M.-C., Tan, H., et al. (2015). A genetic algorithm embedded with a concise chromosome representation for distributed and flexible job-shop scheduling problems. Journal of Intelligent Manufacturing, 29(1), 19–34.CrossRef
go back to reference Luo, Q., Deng, Q., Gong, G., et al. (2020). An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers. Expert Systems with Applications, 160, 113721.CrossRef Luo, Q., Deng, Q., Gong, G., et al. (2020). An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers. Expert Systems with Applications, 160, 113721.CrossRef
go back to reference Meng, T., Pan, Q.-K., & Wang, L. (2019). A distributed permutation flowshop scheduling problem with the customer order constraint. Knowledge-Based Systems, 184, 104894.CrossRef Meng, T., Pan, Q.-K., & Wang, L. (2019). A distributed permutation flowshop scheduling problem with the customer order constraint. Knowledge-Based Systems, 184, 104894.CrossRef
go back to reference Mishra, A., & Shrivastava, D. (2018). A TLBO and a Jaya heuristics for permutation flow shop scheduling to minimize the sum of inventory holding and batch delay costs. Computers & Industrial Engineering, 124, 509–522.CrossRef Mishra, A., & Shrivastava, D. (2018). A TLBO and a Jaya heuristics for permutation flow shop scheduling to minimize the sum of inventory holding and batch delay costs. Computers & Industrial Engineering, 124, 509–522.CrossRef
go back to reference Mousavi, S. M., Bahreininejad, A., Musa, S. N., et al. (2017). A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network. Journal of Intelligent Manufacturing, 28(1), 191–206.CrossRef Mousavi, S. M., Bahreininejad, A., Musa, S. N., et al. (2017). A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network. Journal of Intelligent Manufacturing, 28(1), 191–206.CrossRef
go back to reference Muhammad, C. R., & Nu’man, A. H., & Shofia, N. (2020). Minimization of WIP inventory cost at CNC-machining centers through assignment of m serial machines and transfer batch size reduction. IOP Conference Series: Materials Science and Engineering, 830, 032096.CrossRef Muhammad, C. R., & Nu’man, A. H., & Shofia, N. (2020). Minimization of WIP inventory cost at CNC-machining centers through assignment of m serial machines and transfer batch size reduction. IOP Conference Series: Materials Science and Engineering, 830, 032096.CrossRef
go back to reference Naderi, B., & Ruiz, R. (2010). The distributed permutation flowshop scheduling problem. Computers & Operations Research, 37(4), 754–768.CrossRef Naderi, B., & Ruiz, R. (2010). The distributed permutation flowshop scheduling problem. Computers & Operations Research, 37(4), 754–768.CrossRef
go back to reference Oh, Y. H., & Hwang, H. (2006). Deterministic inventory model for recycling system. Journal of Intelligent Manufacturing, 17(4), 423–428.CrossRef Oh, Y. H., & Hwang, H. (2006). Deterministic inventory model for recycling system. Journal of Intelligent Manufacturing, 17(4), 423–428.CrossRef
go back to reference Pan, Q.-K., Ruiz, R., & Alfaro-Fernández, P. (2017). Iterated search methods for earliness and tardiness minimization in hybrid flowshops with due windows. Computers & Operations Research, 80, 50–60.CrossRef Pan, Q.-K., Ruiz, R., & Alfaro-Fernández, P. (2017). Iterated search methods for earliness and tardiness minimization in hybrid flowshops with due windows. Computers & Operations Research, 80, 50–60.CrossRef
go back to reference Perez-Gonzalez, P., Fernandez-Viagas, V., & Framinan, J. M. (2020). Permutation flowshop scheduling with periodic maintenance and makespan objective. Computers & Industrial Engineering, 143, 106369.CrossRef Perez-Gonzalez, P., Fernandez-Viagas, V., & Framinan, J. M. (2020). Permutation flowshop scheduling with periodic maintenance and makespan objective. Computers & Industrial Engineering, 143, 106369.CrossRef
go back to reference Ribas, I., Companys, R., & Tort-Martorell, X. (2017). Efficient heuristics for the parallel blocking flow shop scheduling problem. Expert Systems with Applications, 74, 41–54.CrossRef Ribas, I., Companys, R., & Tort-Martorell, X. (2017). Efficient heuristics for the parallel blocking flow shop scheduling problem. Expert Systems with Applications, 74, 41–54.CrossRef
go back to reference Sajadieh, M., & Jokar, M. (2009). An integrated vendor-buyer cooperative model under stochastic supply lead-time. International Journal of Advanced Manufacturing Technology, 41(9–10), 1043–1050.CrossRef Sajadieh, M., & Jokar, M. (2009). An integrated vendor-buyer cooperative model under stochastic supply lead-time. International Journal of Advanced Manufacturing Technology, 41(9–10), 1043–1050.CrossRef
go back to reference Salmasnia, A., & Talesh-Kazemi, A. (2020). Integrating inventory planning, pricing and maintenance for perishable products in a two-component parallel manufacturing system with common cause failures. Operational Research, 22(2), 1235–1265.CrossRef Salmasnia, A., & Talesh-Kazemi, A. (2020). Integrating inventory planning, pricing and maintenance for perishable products in a two-component parallel manufacturing system with common cause failures. Operational Research, 22(2), 1235–1265.CrossRef
go back to reference Shahidi-Zadeh, B., Tavakkoli-Moghaddam, R., Taheri-Moghadam, A., et al. (2017). Solving a bi-objective unrelated parallel batch processing machines scheduling problem: A comparison study. Computers & Operations Research, 88, 71–90.CrossRef Shahidi-Zadeh, B., Tavakkoli-Moghaddam, R., Taheri-Moghadam, A., et al. (2017). Solving a bi-objective unrelated parallel batch processing machines scheduling problem: A comparison study. Computers & Operations Research, 88, 71–90.CrossRef
go back to reference Shao, Z., Pi, D., Shao, W., et al. (2019). An efficient discrete invasive weed optimization for blocking flow-shop scheduling problem. Engineering Applications of Artificial Intelligence, 78, 124–141.CrossRef Shao, Z., Pi, D., Shao, W., et al. (2019). An efficient discrete invasive weed optimization for blocking flow-shop scheduling problem. Engineering Applications of Artificial Intelligence, 78, 124–141.CrossRef
go back to reference Sun Lee, I., & Yoon, S. H. (2010). Coordinated scheduling of production and delivery stages with stage-dependent inventory holding costs. Omega, 38(6), 509–521.CrossRef Sun Lee, I., & Yoon, S. H. (2010). Coordinated scheduling of production and delivery stages with stage-dependent inventory holding costs. Omega, 38(6), 509–521.CrossRef
go back to reference Tiemessen, H. G. H., Fleischmann, M., & van Houtum, G. J. (2016). Dynamic control in multi-item production/inventory systems. Or Spectrum, 39(1), 165–191.CrossRef Tiemessen, H. G. H., Fleischmann, M., & van Houtum, G. J. (2016). Dynamic control in multi-item production/inventory systems. Or Spectrum, 39(1), 165–191.CrossRef
go back to reference Van Horenbeek, A., & Pintelon, L. (2015). A joint predictive maintenance and inventory policy. Engineering Asset Management - Systems, Professional Practices and Certification, 1, 387–399.CrossRef Van Horenbeek, A., & Pintelon, L. (2015). A joint predictive maintenance and inventory policy. Engineering Asset Management - Systems, Professional Practices and Certification, 1, 387–399.CrossRef
go back to reference Wan, Z., Chan, F., & Li, M. (2018). A robust production control policy for hedging against inventory inaccuracy in a multiple-stage production system with time delay. IEEE Transactions on Engineering Management, 65(3), 474–486.CrossRef Wan, Z., Chan, F., & Li, M. (2018). A robust production control policy for hedging against inventory inaccuracy in a multiple-stage production system with time delay. IEEE Transactions on Engineering Management, 65(3), 474–486.CrossRef
go back to reference Wang, C., Tian, N., Ji, Z., et al. (2017). Multi-objective fuzzy flexible job shop scheduling using memetic algorithm. Journal of Statistical Computation and Simulation, 87(14), 2828–2846.CrossRef Wang, C., Tian, N., Ji, Z., et al. (2017). Multi-objective fuzzy flexible job shop scheduling using memetic algorithm. Journal of Statistical Computation and Simulation, 87(14), 2828–2846.CrossRef
go back to reference Wang, F., Deng, G., Jiang, T., et al. (2018). Multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops. IEEE Access, 6, 68686–68700.CrossRef Wang, F., Deng, G., Jiang, T., et al. (2018). Multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops. IEEE Access, 6, 68686–68700.CrossRef
go back to reference Wang, J., & Zhu, X. (2021). Joint optimization of condition-based maintenance and inventory control for a k-out-of-n: F system of multi-state degrading components. European Journal of Operational Research, 290(2), 514–529.CrossRef Wang, J., & Zhu, X. (2021). Joint optimization of condition-based maintenance and inventory control for a k-out-of-n: F system of multi-state degrading components. European Journal of Operational Research, 290(2), 514–529.CrossRef
go back to reference Wang, L., & Li, D. (2020). Fuzzy distributed hybrid flow shop scheduling problem with heterogeneous factory and unrelated parallel machine: A shuffled frog leaping algorithm with collaboration of multiple search strategies. IEEE Access, 8, 214209–214223.CrossRef Wang, L., & Li, D. (2020). Fuzzy distributed hybrid flow shop scheduling problem with heterogeneous factory and unrelated parallel machine: A shuffled frog leaping algorithm with collaboration of multiple search strategies. IEEE Access, 8, 214209–214223.CrossRef
go back to reference Wang, Z., & Lu, C. (2021). An integrated job shop scheduling and assembly sequence planning approach for discrete manufacturing. Journal of Manufacturing Systems, 61, 27–44.CrossRef Wang, Z., & Lu, C. (2021). An integrated job shop scheduling and assembly sequence planning approach for discrete manufacturing. Journal of Manufacturing Systems, 61, 27–44.CrossRef
go back to reference Ye, H., Wang, X., & Liu, K. (2021). Adaptive preventive maintenance for flow shop scheduling with resumable processing. IEEE Transactions on Automation Science and Engineering, 18(1), 106–113.CrossRef Ye, H., Wang, X., & Liu, K. (2021). Adaptive preventive maintenance for flow shop scheduling with resumable processing. IEEE Transactions on Automation Science and Engineering, 18(1), 106–113.CrossRef
go back to reference Yepes-Borrero, J. C., Perea, F., Ruiz, R., et al. (2021). Bi-objective parallel machine scheduling with additional resources during setups. European Journal of Operational Research, 292(2), 443–455.CrossRef Yepes-Borrero, J. C., Perea, F., Ruiz, R., et al. (2021). Bi-objective parallel machine scheduling with additional resources during setups. European Journal of Operational Research, 292(2), 443–455.CrossRef
go back to reference Ying, K.-C., & Lin, S.-W. (2017). Minimizing makespan in distributed blocking flowshops using hybrid iterated greedy algorithms. IEEE Access, 5, 15694–15705.CrossRef Ying, K.-C., & Lin, S.-W. (2017). Minimizing makespan in distributed blocking flowshops using hybrid iterated greedy algorithms. IEEE Access, 5, 15694–15705.CrossRef
go back to reference Zahedi, Z., Salim, A., Yusriski, R., et al. (2019). Optimization of an integrated batch production and maintenance scheduling on flow shop with two machines. International Journal of Industrial Engineering Computations, 10(2), 225–238.CrossRef Zahedi, Z., Salim, A., Yusriski, R., et al. (2019). Optimization of an integrated batch production and maintenance scheduling on flow shop with two machines. International Journal of Industrial Engineering Computations, 10(2), 225–238.CrossRef
go back to reference Zhang, L., Deng, Q., Gong, G., et al. (2019). A new unrelated parallel machine scheduling problem with tool changes to minimise the total energy consumption. International Journal of Production Research, 58(22), 6826–6845.CrossRef Zhang, L., Deng, Q., Gong, G., et al. (2019). A new unrelated parallel machine scheduling problem with tool changes to minimise the total energy consumption. International Journal of Production Research, 58(22), 6826–6845.CrossRef
go back to reference Zhao, C. (2016). Common due date assignment and single-machine scheduling with release times to minimize the weighted number of tardy jobs. Japan Journal of Industrial and Applied Mathematics, 33(1), 239–249.CrossRef Zhao, C. (2016). Common due date assignment and single-machine scheduling with release times to minimize the weighted number of tardy jobs. Japan Journal of Industrial and Applied Mathematics, 33(1), 239–249.CrossRef
go back to reference Zhao, Z., Xiao, B., Wang, N., et al. (2019). Selective maintenance optimization for a multi-state system considering human reliability. Symmetry-Basel, 11(5), 652.CrossRef Zhao, Z., Xiao, B., Wang, N., et al. (2019). Selective maintenance optimization for a multi-state system considering human reliability. Symmetry-Basel, 11(5), 652.CrossRef
go back to reference Zohali, H., Naderi, B., & Mohammadi, M. (2019). The economic lot scheduling problem in limited-buffer flexible flow shops Mathematical models and a discrete fruit fly algorithm. Applied Soft Computing, 80, 904–919.CrossRef Zohali, H., Naderi, B., & Mohammadi, M. (2019). The economic lot scheduling problem in limited-buffer flexible flow shops Mathematical models and a discrete fruit fly algorithm. Applied Soft Computing, 80, 904–919.CrossRef
Metadata
Title
Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environment
Authors
Zhen Wang
Qianwang Deng
Like Zhang
Xiaoyan Liu
Publication date
02-09-2022
Publisher
Springer US
Published in
Journal of Intelligent Manufacturing / Issue 8/2023
Print ISSN: 0956-5515
Electronic ISSN: 1572-8145
DOI
https://doi.org/10.1007/s10845-022-01996-z

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