The optimal control of just-in-time-based production and distribution systems and performance comparisons with optimized pull systems
暂无分享,去创建一个
[1] S. Marcus,et al. A Simulation-Based Policy Iteration Algorithm for Average Cost Unichain Markov Decision Processes , 2000 .
[2] Jack P. C. Kleijnen,et al. An evolutionary approach to select a pull system among Kanban, Conwip and Hybrid , 2000, J. Intell. Manuf..
[3] Abhijit Gosavi,et al. Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning , 2003 .
[4] P. Shahabudeen,et al. Design of a Two-Card Dynamic Kanban System Using a Simulated Annealing Algorithm , 2003 .
[5] Steven I. Marcus,et al. Simulation-based Algorithms for Markov Decision Processes/ Hyeong Soo Chang ... [et al.] , 2013 .
[6] Yves Dallery,et al. Extended kanban control system: combining kanban and base stock , 2000 .
[7] Fulya Altiparmak,et al. A comparison of the performance of artificial intelligence techniques for optimizing the number of kanbans , 2002, J. Oper. Res. Soc..
[8] Taiichi Ohno,et al. Toyota Production System : Beyond Large-Scale Production , 1988 .
[9] Andrew G. Barto,et al. Reinforcement learning , 1998 .
[10] C. Sendil Kumar,et al. Literature review of JIT-KANBAN system , 2007 .
[11] John N. Tsitsiklis,et al. Neuro-Dynamic Programming , 1996, Encyclopedia of Machine Learning.
[12] David L. Woodruff,et al. CONWIP: a pull alternative to kanban , 1990 .
[13] J. George Shanthikumar,et al. A GENERAL APPROACH FOR COORDINATING PRODUCTION IN MULTIPLE‐CELL MANUFACTURING SYSTEMS , 1992 .
[14] Yves Dallery,et al. A unified framework for pull control mechanisms in multi‐stage manufacturing systems , 2000, Ann. Oper. Res..
[15] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[16] Steve New,et al. Celebrating the enigma: the continuing puzzle of the Toyota Production System , 2007 .
[17] J. Banks,et al. Handbook of Simulation , 1998 .
[18] John A. Buzacott,et al. Stochastic models of manufacturing systems , 1993 .
[19] R. D. Hurrion,et al. An example of simulation optimisation using a neural network metamodel: finding the optimum number of kanbans in a manufacturing system , 1997 .
[20] José Luis González Velarde,et al. Computing Tools for Modeling, Optimization and Simulation , 2000 .
[21] Y. Sugimori,et al. Toyota production system and Kanban system Materialization of just-in-time and respect-for-human system , 1977 .
[22] Yannick Frein,et al. Comparison among three pull control policies: kanban, base stock, and generalized kanban , 2000, Ann. Oper. Res..
[23] Tapas K. Das,et al. A reinforcement learning approach to a single leg airline revenue management problem with multiple fare classes and overbooking , 2002 .
[24] Christos G. Cassandras,et al. Optimization of kanban-based manufacturing systems , 1999, Autom..
[25] Maria Di Mascolo,et al. On the design of generalized kanban control systems , 1995 .
[26] S. Mahadevan,et al. Solving Semi-Markov Decision Problems Using Average Reward Reinforcement Learning , 1999 .
[27] Yves Dallery,et al. A performance comparison of pull type control mechanisms for multi-stage manufacturing , 2000 .
[28] Warren B. Powell,et al. “Approximate dynamic programming: Solving the curses of dimensionality” by Warren B. Powell , 2007, Wiley Series in Probability and Statistics.
[29] John F. Magee,et al. Production planning and inventory control , 1958 .
[30] Yannick Frein,et al. Unified Framework for Describing and Comparing the Dynamics of Pull Control Policies , 2004, Ann. Oper. Res..
[31] Takuji Nishimura,et al. Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator , 1998, TOMC.
[32] Dimitrios E. Koulouriotis,et al. Simulation optimisation of pull control policies for serial manufacturing lines and assembly manufacturing systems using genetic algorithms , 2010 .
[33] Paul Glasserman,et al. The Stability of a Capacitated, Multi-Echelon Production-Inventory System Under a Base-Stock Policy , 1994, Oper. Res..
[34] Katsuhisa Ohno,et al. Computing Optimal Policies for Controlled Tandem Queueing Systems , 1987, Oper. Res..
[35] Asbjoern M. Bonvik,et al. A comparison of production-line control mechanisms , 1997 .
[36] Paul H. Zipkin,et al. Foundations of Inventory Management , 2000 .
[37] Christos Alexopoulos,et al. Output Data Analysis , 2007 .
[38] Mitsutoshi Kojima,et al. Optimal numbers of two kinds of kanbans in a JIT production system , 1995 .
[39] P. Shahabudeen,et al. Design of bi-criteria Kanban system using simulated annealing technique , 2002 .
[40] John B. Kidd,et al. Toyota Production System , 1993 .
[41] Fulya Altiparmak,et al. The optimization of number of kanbans with genetic algorithms, simulated annealing and tabu search , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).