Abstract
Focused on the single level capacitated dynamic lot-sizing problem which suffered disruptions, the methodology of disruption management was applied to solve the problem. Based on the problem state that the demand of a customer was changed, a disruption recovery model was constructed, which took the deviation of the plan and the production cost into considerations. Then a knowledge evolution algorithm was presented to solve this model. By contrast with the method of re-scheduling, the simulation results demonstrated the feasibility and validity of the proposed model.
This work is supported by MOE (Ministry of Education in China) Project of Humanities and Social Sciences under Grant 09YJC630152, Innovation Program of Shanghai Municipal Education Commission under Grant 13YZ138 and the Leading Academic Discipline Project of Shanghai Dianji University under Grant 10XK01.
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References
Clausen J, Larsen A, Larsen J, Rezanova NJ (2010) Disruption management in the airline industry-Concepts, models and methods. Comput Oper Res 37(5):809–821
Guan YP, Liu TM (2010) Stochastic lot-sizing problem with inventory-bounds and constant order-capacities. Eur J Oper Res 207(3):1398–1409
Han Y (2011) Summary of mathematical models and algorithms of lot-sizing problem in discrete manufacturing enterprises. Comput Eng Appl 47(19):214–218 (in Chinese)
Hu XP, Sun LJ (2012) Knowledge-based modeling for disruption management in urban distribution. Expert Syst Appl 39(1):906–916
Hu XP, Sun LJ, Wang YN (2011) A model for disruption management in urban distribution systems. J Manag Sci China 14(1):50–60 (in Chinese)
Huang WX, Chen WD (2012) Remanufacturing production planning based on credibility theory in fuzzy environments. Ind Eng Manag 17(1):21–26 (in Chinese)
Kohl N, Larsen A, Larsen J, Ross A, Tiourine S (2007) Airline disruption management—perspectives, experiences and outlook. J Air Transp Manag 13(3):149–162
Ma HM, Liu Y, Ye CM (2005) Improved particle swarm optimization algorithm for the single level capacitated dynamic lot-sizing problem. Ind Eng Manag 10(6):66–70 (in Chinese)
Ma HM, Ye CM, Zhang S (2009) Knowledge evolution algorithm. Appl Res Comput 26(9):3282–3284 (in Chinese)
Okhrin I, Richter K (2011) An O(T3) algorithm for the capacitated lot sizing problem with minimum order quantities. Eur J Oper Res 211(3):507–514
Tang LX (1998) The theory and applications of lot-sizing problem in CISM. Science Press, Beijing (in Chinese)
Tang LX, Yang ZH, Wang MG, Qi H (1997) New genetic heuristic algorithms to solve CLSP with multi resources in CIMS. J Control Theor Appl 17(4):39–44 (in Chinese)
Yu G, Qi X (2004) Disruption management: framework, models and applications. World Scientific Publishing Co. Pte. Ltd, US
Zhang S, Ma L, Ma HM (2010) Knowledge evolution algorithm for capacitated dynamic lot-sizing problem in group technology cell. Ind Eng Manag 15(1):92–96 (in Chinese)
Zhu G, Bard JF, Yu G (2005) Disruption management for resource-constraint project scheduling. J Oper Res Soc 56(4):365–381
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Ma, Hm., Xu, Mj., Zhang, S. (2013). Disruption Management for the Single Level Capacitated Dynamic Lot-Sizing Problem. In: Qi, E., Shen, J., Dou, R. (eds) International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38445-5_45
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DOI: https://doi.org/10.1007/978-3-642-38445-5_45
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