Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13750
Title: Job shop scheduling for missed due-date performance
Authors: Cheng, TCE 
Jiang, J
Issue Date: 1998
Publisher: Pergamon Press
Source: Computers and industrial engineering, 1998, v. 34, no. 2-4, p. 297-307 How to cite?
Journal: Computers and industrial engineering 
Abstract: Relatively little job shop scheduling research has focused on the missed due-date performance. In this paper, we investigate how two important decision factors, namely dispatching rules and due-date assignment methods, affect the missed due-date performance in job shop scheduling. A new dispatching rule and two new due-date setting models are developed in order to improve the performance criteria based on missed due dates. The new due-date models are capable of adjusting dynamically the flowtime estimation by using feedback information about current shop load conditions. Simulation results show that the proposed dynamic due-date models are significantly better than their static counterparts. The best missed due-date performance is observed when a combination of a dynamic due-date setting model and an appropriate due-date-dependent dispatching rule is employed. In addition, the new models are simple and easy to implement without preliminary runs for parameter estimation.
URI: http://hdl.handle.net/10397/13750
ISSN: 0360-8352
EISSN: 1879-0550
DOI: 10.1016/S0360-8352(97)00317-3
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

32
Last Week
0
Last month
1
Citations as of Sep 23, 2017

WEB OF SCIENCETM
Citations

23
Last Week
0
Last month
0
Citations as of Sep 22, 2017

Page view(s)

62
Last Week
2
Last month
Checked on Sep 25, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.