首页 | 本学科首页   官方微博 | 高级检索  
     


Coordinated deterministic dynamic demand lot-sizing problem: A review of models and algorithms
Authors:Powell Robinson  Arunachalam Narayanan  Funda Sahin
Affiliation:1. Information and Operations Management, Texas A&M University, 320 Wehner Building, MS-4217, College Station, TX 77843-4217, USA;2. Department of Enigneering Technology and Industrial Distribution, Texas A&M University, MS-3367, College Station, TX 77843-3367, USA;3. Department of Marketing and Logistics, The University of Tennessee, Knoxville, TN 37996-0530, USA
Abstract:
Due to their importance in industry and mathematical complexity, dynamic demand lot-sizing problems are frequently studied. In this article, we consider coordinated lot-size problems, their variants and exact and heuristic solutions approaches. The problem class provides a comprehensive approach for representing single and multiple items, coordinated and uncoordinated setup cost structures, and capacitated and uncapacitated problem characteristics. While efficient solution approaches have eluded researchers, recent advances in problem formulation and algorithms are enabling large-scale problems to be effectively solved. This paper updates a 1988 review of the coordinated lot-sizing problem and complements recent reviews on the single-item lot-sizing problem and the capacitated lot-sizing problem. It provides a state-of-the-art review of the research and future research projections. It is a starting point for anyone conducting research in the deterministic dynamic demand lot-sizing field.
Keywords:Coordinated lot-sizing   Integer programming   Heuristics   Inventory control
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号