A continuous model for supply planning of assembly systems with stochastic component procurement times

被引：30

作者：

Chauhan, Satyaveer S. ^{[1
,2
]}

Dolgui, Alexandre ^{[3
]}

Proth, Jean-Marie ^{[4
]}

机构：

[1] Concordia Univ, John Molson Sch Business, Montreal, PQ H3G 1M8, Canada

[2] CIRRELT, Montreal, PQ, Canada

[3] Ecole Mines St Etienne, Ctr Ind Engn & Comp Sci, F-42023 St Etienne, France

[4] INRIA SAGEP, F-57420 Pouilly, France

来源：

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS | 2009年 / 120卷 / 02期

关键词：

Assembly-to-order; Random lead-times; Supply planning; Optimization; Simulated annealing; LEAD TIMES; MRP SYSTEMS; UNCERTAINTY;

D O I：

10.1016/j.ijpe.2008.11.015

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper studies a customized product assembly scenario where some components cannot be stocked due to high component cost and risk. We consider the case where these key components are ordered after a demand has been registered with a promised delivery date. Component lead-times are stochastic and associated distribution function is known in advance. The objective is to determine the ordering time for each component such as to minimize the sum of expected holding and backlogging costs. An approach to solve this problem is proposed and the algorithm is tested on a randomly generated data set. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：411 / 417

页数：7

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