可变产能的按订单装配系统库存和生产决策研究

中国管理科学 ›› 2012, Vol. ›› Issue (3): 94-103.

可变产能的按订单装配系统库存和生产决策研究

郭佳^1,2, 傅科², 陈功玉²

1. 广东商学院工商管理学院, 广东广州 5103200;
2. 中山大学岭南学院, 广东广州 510275

收稿日期:2011-06-18 修回日期:2011-11-30 出版日期:2012-06-29 发布日期:2012-07-05
基金资助:
国家自然科学基金资助项目(70701039,71072090);教育部人文社会科学研究青年基金项目(09YJC630237);中央高校基本科研业务费专项资金资助

Optimal Inventory and Production Decisions for an ATO System with Variable Capacity

GUO Jia^1,2, FU Ke², CHEN Gong-yu²

1. School of Business Administration, Guandong University of Business Studies, Guangzhou 510320, China;
2. Lingnan College, Sun Yat-sen University, Guangzhou 510275, China

Received:2011-06-18 Revised:2011-11-30 Online:2012-06-29 Published:2012-07-05

摘要/Abstract

摘要： 本文基于一个ATO 生产商的实践,考虑一个需求不确定并具有子装配件的单周期ATO 系统,为了应对较长的采购提前期和有限产能的挑战,生产商可以在得到确定的需求之前提前采购零件,装配子装配件以至于最终产品。由于产品物料清单结构中存在子装配件作为可选的中间件,因此完全使用零件和使用子装配件装配最终产品的不同,造成装配能力在时间上具有可变性。我们对此问题建立了利润最大化模型,分析在上述ATO 环境中的最优库存和生产决策。通过一系列最优解的性质,我们得到了该问题的有效解决方法。

关键词: 按订单装配系统, 可变产能, 不确定需求, 提前装配

Abstract: Motivated by the practice of an ATO manufacturer, a single-period ATO system with subassembly and uncertain future demand is considered.To cope with the challenges of long component procurement lead times and limited assembly capacity, the manufacturer may need to procure components,and assemble some quantities of subassembly or the final product before the actual order quantity is confirmed.Since there is subassembly in the product BOM as an intermediate production, the assembly capacity is variable with respect to assembly with components or subassembly over different time slots.A profit maximization model to analyze the optimal inventory and production decisions under the above ATO environment is presented.Structural properties of optimal solutions is estabilished and efficient solution procedures for the proposed problem is developed.

Key words: assemble-to-order system, variable capacity, uncertain demand, assemble-in-advance

中图分类号:

F406.2

郭佳, 傅科, 陈功玉. 可变产能的按订单装配系统库存和生产决策研究 [J]. 中国管理科学, 2012, (3): 94-103.

GUO Jia, FU Ke, CHEN Gong-yu. Optimal Inventory and Production Decisions for an ATO System with Variable Capacity[J]. Chinese Journal of Management Science, 2012, (3): 94-103.

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