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联合补充库存问题的模型及算法 被引量:3

Model and Algorithm for Joint Replenishment Inventory Problem
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摘要 对确定性需求的联合补充问题,有多种算法,这些算法或不能保证最优解或计算复杂性大,因此提出将模拟退火思想引入遗传算法,应用遗传模拟退火算法求解,阐明了该算法的具体实现过程,并通过算例表明该算法可以更有效地解决此类问题。 There are several algorithms for solving the joint replenishment inventory problem, but they cannot yield the optimal solution or their computational procedures are complex. The simulated annealing idea is introduced into the genetic algorithm to solve the JRP problem, and the specific process for realizing the problem is expounded in this paper. The algorithm is illustrated with an example, and the result obtained indicates that the algorithm can more efficiently solve the problem.
出处 《西华大学学报(自然科学版)》 CAS 2005年第1期56-59,共4页 Journal of Xihua University:Natural Science Edition
关键词 库存 联合补充 遗传算法 模拟退火算法 确定性需求 inventory joint replenishment genetic algorithm simulated annealing algorithm deterministic demand
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参考文献4

  • 1Goyal S K, Satir A T. Joint replenishment inventory control:Deterministic and stochastic models [J ]. European Journal of Operational Research, 1989,38: 2-13.
  • 2李冰,杜文.确定性联合补充问题的模型及算法研究[J].系统工程学报,2003,18(2):128-134. 被引量:3
  • 3Khouja M, Michalewice Z. A comparison between genetic algorithms and the RAND method for solving the joint replenishment problem [J]. Production Planning & Control,2000,11(6) :556-564.
  • 4Arkin E, Joneja D, Roundy R. Computational complexity of uncapacitated multi-echelon production planning problems [ J ]. Operations Research Letters, 1989, 8:61-69.

二级参考文献10

  • 1[1]Goyal S K, Satir A T. Joint replenishment inventory control: Deterministic and stochastic models [J]. European Journal of Operational Research, 1989, 38(1): 2-13
  • 2[2]Brown R G. Decision Rules for Inventory Management [M]. New York: Holt, Reinhart, Winston, 1967. 50-55
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  • 5[5]Silver E A. A simple method of determining order quantities in joint replenishments under deterministic demand [J]. Management Science, 1976, 23(6): 1351-1361
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  • 7[7]Kaspi M, Bosenblatt M J. The effectiveness of heuristic algorithms for multi-item inventory systems with joint replenishment costs [J]. International Journal of Production Research, 1985, 23(1): 109-116
  • 8[8]Andress F M, Emmons H. On the optimal packaging frequency of products jointly replenished[J]. Management Science, 1976, 22(5):1165-1166
  • 9[9]Goyal S K. Analysis of joint replenishment inventory systems with resource restriction [J]. Operational Research Quarterly, 1975, 26(1):197-203
  • 10[10]Goyal S K. Determination of economic packaging frequency of items jointly replenished [J]. Management Science, 1973, 20(1): 232-235

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