NDLI: A hybrid heuristic approach for production planning in supply chain networks

Content Provider	Springer Nature Link
Author	Kim, Daecheol Shin, Hyun Joon
Copyright Year	2014
Abstract	Planning distributed manufacturing facilities is one of the most challenging tasks in the supply chain management. This paper proposes a production planning algorithm for the multi-level, multi-item capacitated lot-sizing problem (MLCLSP) in a supply chain network that takes back order into account. MLCLSP is a mixed integer linear programming (MIP) problem and is NP-hard. This paper presents an efficient, hybrid, heuristic algorithm named greedy rolling horizon search (GRHS) that combines a rolling horizon local search heuristic with an exact linear program (LP) solver. Computational experiments show that GRHS performs well in terms of total costs and computational time and is superior to existing meta-heuristics, such as tabu search, simulated annealing, and genetic algorithms.
Starting Page	395
Ending Page	406
Page Count	12
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	78
Issue Number	1-4
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2014-12-07
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Supply chain planning Multi-level multi-item Capacitated lot sizing Back order Hybrid heuristic Meta-heuristics Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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