| Full text | |
| Author(s): |
Thuerer, Matthias
[1]
;
Qu, Ting
[2]
;
Stevenson, Mark
[3]
;
Maschek, Thomas
[4]
;
Godinho Filho, Moacir
[5]
Total Authors: 5
|
| Affiliation: | [1] Univ Fed Sao Carlos. Dept Ind Engn
[2] Guangdong Univ Technol. Sch Electromech Engn
[3] Univ Lancaster. Sch Management
[4] TU Dortmund Univ. Inst Prod Syst
[5] Univ Fed Sao Carlos. Dept Ind Engn
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH; v. 52, n. 22, p. 6664-6680, NOV 17 2014. |
| Web of Science Citations: | 0 |
| Abstract | |
Order release is a key component of the Workload Control concept. Jobs do not enter the shop floor directly - they are retained in a pre-shop pool and released in time to meet due dates while keeping work-in-process within limits or norms. There are two important groups of release methods: continuous methods, for which the workload falling to a specified level can trigger a release at any moment in time; and, periodic release methods, for which releases take place at fixed intervals. Continuous release methods in general have been shown to outperform periodic release methods. Yet, there is incongruence in the results presented in the literature on the relative performance of the various continuous release methods. We use a job shop simulation model to examine the performance of continuous release methods from the literature and find that the contradictory results are explained by the different rules applied to sequence jobs in the pool - a factor neglected in previous work. Finally, a new breed of continuous release methods has recently emerged, but these have not been compared with prior approaches. Therefore, we also examine these methods and show that they significantly improve overall performance, although this is to the detriment of jobs with large processing times. (AU) | |
| FAPESP's process: | 11/10605-1 - Proposal of a Decision Support System based on Workload Control approach for production planning and control in small and medium companies |
| Grantee: | Matthias Thürer |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |