Group-based production scheduling for make-to-order production

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• 作者：Chunyang Yu ; Yangjian Ji ; Guoning Qi ; Xinjian Gu…
• 关键词：Production scheduling ; Tabu search ; Process similarity ; Make ; to ; order ; Optimization ; Lead time
• 刊名：Journal of Intelligent Manufacturing
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：26
• 期：3
• 页码：585-600
• 全文大小：2,022 KB
• 参考文献：Alfieri, A., Tolio, T., & Urgo, M. (2012). A two-stage stochastic programming project scheduling approach to production planning. The International Journal of Advanced Manufacturing Technology, 62(4), 279鈥?90.View Article
  Bhandwale, A., & Kesavadas, T. (2008). A methodology to incorporate product mix variations in cellular manufacturing. Journal of Intelligent Manufacturing, 19(1), 71鈥?5.View Article
  Budinska, I., Kasanicky, T., & Zelenka, J. (2012). Production planning and scheduling by means of artificial immune systems and particle swarm optimization algorithms. International Journal of Bio-Inspired Computation, 4(4), 237鈥?48.View Article
  Caridi, M., & Cavalieri, S. (2004). Multi-agent systems in production planning and control: An overview. Production Planning and Control: The Management of Operations, 15(2), 106鈥?18.View Article
  Ebadian, M., Rabbani, M., Torabi, S. A., & Jolai, F. (2009). Hierarchical production planning and scheduling in make-to-order environments: Reaching short and reliable delivery dates. International Journal of Production Research, 47(20), 5761鈥?789.View Article
  Erromdhani, R., Eddaly, M., & Rebai, A. (2012). Hierarchical production planning with flexibility in agroalimentary environment: A case study. Journal of Intelligent Manufacturing, 23(3), 811鈥?19.View Article
  Huang, S., Lu, M., & Wan, G. H. (2011). Integrated order selection and production scheduling under MTO strategy. International Journal of Production Research, 49(13), 4085鈥?101.View Article
  Jiao, J., Ma, Q., & Tseng, M. M. (2003). Towards high value-added products and services: Mass customization and beyond. Technovation, 23(10), 809鈥?21.
  Lin, L., Xin, C. H., Mitsuo, G., & Jung, B. J. (2013). Network modeling and evolutionary optimization for scheduling in manufacturing. Journal of Intelligent Manufacturing, 23(6), 2237鈥?253.
  Lopez, L., Carter, M. W., & Gendreauc, M. (1998). The hot strip mill production scheduling problem: A tabu search approach. European Journal of Operational Research, 106(2鈥?), 317鈥?35.
  Lzack, C., Avish, A. M., & Avraham, S. (2004). Multi project scheduling and control: A process-based comparative study of the critical chain methodology and some alternatives. Project Management Journal, 35(2), 39鈥?0.
  Mahdavi, I., Aalaei, A., Paydar, M. M., & Solimanpur, M. (2010). Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment. Computers and Mathematics with Applications, 60(4), 1014鈥?025.View Article
  Mahdavi, I., Aalaei, A., Paydar, M. M., & Solimanpur, M. (2011). Multi-objective cell formation and production planning in dynamic virtual cellular manufacturing systems. International Journal of Production Research, 49(21), 6517鈥?537.View Article
  Maravelias, C. T., & Sung, C. (2009). Integration of production planning and scheduling: Overview, challenges and opportunities. Chemical Engineering and Processing, 33(12), 1919鈥?930.
  Mok, P. Y., Cheung, T. Y., Wong, W. K., Leung, S. Y. S., & Fan, J. T. (2013). Intelligent production planning for complex garment manufacturing. Journal of Intelligent Manufacturing, 24(1), 133鈥?45.View Article
  Omar, M. K., & Teo, S. C. (2007). Hierarchical production planning and scheduling in a multi-product, batch process environment. International Journal of Production Research, 45(5), 1029鈥?047.View Article
  Pechoucek, M., Rehak, M., & Charvat, P. (2007). Agent-based approach to mass-oriented production planning: Case study. IEEE Transactions on Systems, Man and Cybernetics鈥揚art C: Applications and Reviews, 37(3), 386鈥?95.View Article
  Purgstaller, P., & Missbauer, H. (2012). Rule-based vs. optimization-based order release in workload control: A simulation study of a MTO manufacturer. International Journal of Production Economics, 140(2), 670鈥?80.View Article
  Qi, G. N., Gu, X. J., & Tan, J. R. (2003). Mass customization technology and application. Beijing: Machinery Industry Press.
  Rennan, P., & Argoneto, P. (2012). Production planning and automated negotiation for SMEs: An agent based e-procurement application. International Journal of Production Economics, 127(1), 73鈥?4.View Article
  Sara莽, T., & Ozcelik, F. (2012). A genetic algorithm with proper parameters for manufacturing cell formation problems. Journal of Intelligent Manufacturing, 23(4), 1047鈥?061.View Article
  Shen, W., & Norrie, D. H. (1999). Agent-based systems for intelligent manufacturing: A state-of-the-art survey. Knowledge and Information Systems, an International Journal, 1(1), 129鈥?56.View Article
  Shirodkar, V. A., Sridharan, R., & Pillai, V. M. (2011). Effective allocation of idle time in the group technology economic lot scheduling problem. International Journal of Production Research, 49(24), 7493鈥?513.View Article
  Stump, B., & Badurdeen, F. (2012). Integrating lean and other strategies for mass customization manufacturing: A case study. Journal of Intelligent Manufacturing, 23(1), 109鈥?24.View Article
  Tomoyuki, M. (2003). An application of immune algorithms for job-shop scheduling problems. In Proceedings of the 5th international symposium on assembly and task, planning (pp. 146鈥?50).
  Wang, D. W., Wang, J. W., & Wang, H. F. (2007). Intelligent optimization methods. Beijing: Higher Education Press.
  Wang, R. C., & Liang, T. F. (2003). Application of fuzzy multi-objective linear programming to aggregate production planning. Computer and Industry Engineer, 46(1), 17鈥?1.View Article
  Wang, R. C., & Liang, T. F. (2005). Applying possibilistic linear programming to aggregate production planning. International Journal of Production Economics, 98(3), 328鈥?41.
  Wu, D., & Ierapetritou, M. (2007). Hierarchical approach for production planning and scheduling under uncertainty. Chemical Engineering and Processing, 46(11), 1129鈥?140.
  Xu, J., Ji, Y. J., Qi, G. N., Liu, X. Z., & Song, L. W. (2010). Classification and coding method of mechanical parts for the design process of mass customization. Chinese Journal of Mechanical Engineering, 46(11), 149鈥?54.
  Yan, H. S., Xia, Q. F., Zhu, M. R., Liu, X. L., & Guo, Z. M. (2003). Integrated production planning and scheduling on automobile assembly lines. IIE Transactions, 35(8), 711鈥?25.
  Zhang, X. D., & Yan, H. S. (2005). Integrated optimization of production planning and scheduling for a kind of job-shop. The International Journal of Advanced Manufacturing Technology, 26(8), 876鈥?86.View Article
  
• 作者单位：Chunyang Yu (1)
  Yangjian Ji (1)
  Guoning Qi (1)
  Xinjian Gu (1)
  Liyan Tao (2)
  
  1. Department of Mechanical Engineering, Industrial Engineering Center, Zhejiang University, Hangzhou, 310027, China
  2. Management School, The Research Institute of Industry Engineering and Management, Hangzhou Dianzi University, Hangzhou, 310018, China
  
• 刊物类别：Business and Economics
• 刊物主题：Economics
  Production and Logistics
  Manufacturing, Machines and Tools
  Automation and Robotics
  
• 出版者：Springer Netherlands
• ISSN：1572-8145

文摘

In make-to-order (MTO) production, various parts from different product structures may share similar processes. However, traditional production scheduling in the MTO environment considers only similarity of due dates but little process similarity. Different from traditional scheduling, aggregating the similarities of due dates and production processes, a group-based production scheduling approach is proposed. Group-based production scheduling takes order groups as scheduling units and part groups as scheduling objects to minimize the total manufacturing lead time in a planning period. Besides, a group based matrix and a production capacity constraint estimation method are proposed for formulating scheduling constraints. To ensure the quality result, a tabu search based algorithm of production scheduling is proposed. Results of a case study reveal that the group-based method can reduce the manufacturing lead time because of the reducing of processing set-up efforts.