Title
Single-Machine Due-Window Assignment and Scheduling with Learning Effect and Resource-Dependent Processing Times.
Abstract
We consider a single-machine common due-window assignment scheduling problem, in which the processing time of a job is a function of its position in a sequence and its resource allocation. The window location and size, along with the associated job schedule that minimizes a certain cost function, are to be determined. This function is made up of costs associated with the window location, window size, earliness, and tardiness. For two different processing time functions, we provide a polynomial time algorithm to find the optimal job sequence and resource allocation, respectively.
Year
DOI
Venue
2014
10.1142/S0217595914500365
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH
Keywords
Field
DocType
Scheduling,learning effect,single-machine,resource allocation,due-window,polynomial time algorithm
Learning effect,Mathematical optimization,Tardiness,Job shop scheduling,Computer science,Scheduling (computing),Real-time computing,Resource allocation,Time complexity
Journal
Volume
Issue
ISSN
31
5
0217-5959
Citations 
PageRank 
References 
3
0.38
29
Authors
2
Name
Order
Citations
PageRank
Jibo Wang174541.50
Ming-Zheng Wang230.38