Title
Stochastic models for the coordinated production and shipment problem in a supply chain
Abstract
In this study, we consider the coordination of transportation and production policies between a single supplier and a single retailer in a stochastic environment. The supplier controls the production, holds inventory and ships the products to the retailer to satisfy the external demand. We model the system as a Markov decision process, and show that the optimal production and transportation decisions are complex and non-monotonic. Therefore, we analyze two widely-used shipment policies in the industry as well, namely time-based and quantity-based shipment policies in addition to a hybrid time-and-quantity based shipment policy. We numerically compare the performances of these policies with respect to the optimal policy and analyze the effects of the parameters in the system.
Year
DOI
Venue
2013
10.1016/j.cie.2012.12.012
Computers & Industrial Engineering
Keywords
Field
DocType
markov decision process,single retailer,transportation decision,quantity-based shipment policy,widely-used shipment policy,optimal policy,shipment problem,production policy,single supplier,supply chain,shipment policy,stochastic model,optimal production,logistics,inventory,supply chain management,dynamic programming
Dynamic programming,Mathematical optimization,Markov decision process,Supply chain management,Stochastic modelling,Supply chain,Engineering,Operations management
Journal
Volume
Issue
ISSN
64
3
0360-8352
Citations 
PageRank 
References 
1
0.36
8
Authors
3
Name
Order
Citations
PageRank
Onur Kaya110613.85
Deniz Kubalı210.36
Lerzan ÖRmeci3171.72