Paper Info
Title
Semi-online two-level supply chain scheduling problems
Abstract
We consider two-level supply chain scheduling problems where customers release jobs to a manufacturer that has to process the jobs and deliver them to the customers. Processed jobs are grouped into batches, which are delivered to the customers as single shipments. The objective is to minimize the total cost which is the sum of the total flow time and the total delivery cost. Such problems have been considered in the off-line environment where future jobs are known, and in the online environment where at any time there is no information about future jobs. It is known that the best possible competitive ratio for an online algorithm is 2. We consider the problem in the semi-online environment, assuming that a lower bound P for all processing times is available a priori, and present a semi-online algorithm with competitive ratio $\frac{2D}{D+P}$ where D is the cost of a delivery. Also, for the special case where all processing times are equal, we prove that the algorithm is $1.045\sqrt{\frac{2-u}{u}}$ -competitive, where u is the density of the instance.
Year
DOI
Venue
2012
10.1007/s10951-011-0264-7
J. Scheduling
Keywords
DocType
Volume
Supply chain scheduling,Semi-online algorithm,Competitive analysis
Journal
15
Issue
ISSN
Citations 
3
1094-6136
10
PageRank 
References 
Authors
0.53
11
2
Name
Order
Citations
PageRank
Igor Averbakh169954.76
Mehmet Baysan2374.04