Production;
Production planning;
Lot sizing;
Hybrid production;
Markov Decision Process;
MACHINE PRODUCTION SYSTEMS;
SCHEDULING PROBLEM;
STOCHASTIC DEMANDS;
INVENTORY;
RULES;
MODEL;
ITEM;
MTO;
D O I:
10.1016/j.ejor.2017.01.015
中图分类号:
C93 [管理学];
学科分类号:
12 ;
1201 ;
1202 ;
120202 ;
摘要:
Hybrid make-to-order/make-to-stock production systems are difficult to control. Batch production of make-to-stock products allows for efficient capacity usage, but fixed batch sizes can make the system less responsive to make-to-order customers. Using Markov Decision Process modeling, we show that the optimal policy for such hybrid systems varies the lot size in response to make-to-order backlogs as well as stock levels. We evaluate the performance of this flexible lot sizing policy for a two-product hybrid system. We find that it leads to savings of up to 23% compared to policies that use either completely or partly fixed lot sizes. We also find that flexible lot sizing is especially beneficial for systems with a low load and where make-to-stock is important in terms of production capacity usage and cost. (C) 2017 Elsevier B.V. All rights reserved.
机构:
Univ Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USAUniv Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA
Carr, S
;
Duenyas, I
论文数: 0引用数: 0
h-index: 0
机构:Univ Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA
机构:
Univ Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USAUniv Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA
Carr, S
;
Duenyas, I
论文数: 0引用数: 0
h-index: 0
机构:Univ Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA