Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1840
Title: Coordinated scheduling of customer orders with decentralized machine locations
Authors: Li, CL 
Ou, J
Keywords: Scheduling
Deliveries
Coordination
Heuristics
Worst-case analysis
Issue Date: Sep-2007
Publisher: Taylor & Francis
Source: IIE Transactions, Sept. 2007, v. 39, no. 9, p. 899-909 How to cite?
Journal: IIE Transactions 
Abstract: We consider a scheduling model with two machines at different locations. Each job is composed of two tasks where each task must be processed by a specific machine. The finished tasks are shipped to a distribution center in batches before they are bundled together and delivered to customers. The objective is to minimize the sum of the delivery cost and customers' waiting costs. This model attempts to coordinate the production and delivery schedules on the decentralized machines while taking into consideration the shipping cost as well as the waiting time of the customers. We develop polynomial-time heuristic algorithms for this problem and analyze their worst-case performance. Computational experiments are conducted to test the effectiveness of the heuristics and to evaluate the benefits obtained by coordinating the production and delivery of the two decentralized machines.
URI: http://hdl.handle.net/10397/1840
ISSN: 0740-817X (print)
1545-8830 (online)
DOI: 10.1080/07408170600972990
Rights: © 2007 “IIE”.
This is an electronic version of an article published in C.-L. Li and J. Ou (2007), IIE Transactions, 39(9), 899-909. IIE Transactions is available online at: http://www.informaworld.com, the open URL of the article: http://www.informaworld.com/openurl?genre=article&issn=0740-817X&volume=39&issue=9&spage=899.
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