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| Content Provider | Springer Nature Link |
|---|---|
| Author | Mlinar, Tanja Chevalier, Philippe |
| Copyright Year | 2016 |
| Abstract | In a stochastic environment pooling naturally leads to economies of scale, but heterogeneity can also create variability. In the article, we investigate this trade-off in the case of a manufacturing environment. Pooling for queueing systems has been widely investigated in the literature on the design of service systems; however, much less attention has been given to manufacturing systems where jobs are given a due date upon arrival. In such systems it is not the elapsed time until the actual completion of the job that counts, but rather the due date lead time that can be promised to the customer in order to guarantee a high service level. The purpose of the article is to get a deeper understanding about how pooling strategies and lead-time decisions can be implemented to attain a high due-date performance. To this end, we develop a simulation and analytical study to determine the benefits of pooling manufacturing systems with heterogeneous demand streams. Our work allows managers to identify the characteristics of production systems such that a pooling strategy would be beneficial. Our results demonstrate that when a due-date setting and scheduling mechanism is implemented, heterogeneity does generally not lead to deterioration of performance, as previously observed in service environments. Our studies also reveal that the benefits of pooling in terms of the expected sojourn time obtained by a simple analytical treatment can serve as a good prediction of the benefits of pooling on the average due date lead time in a wide range of situations. |
| Ending Page | 200 |
| Page Count | 28 |
| Starting Page | 173 |
| File Format | |
| ISSN | 16194500 |
| e-ISSN | 16142411 |
| Journal | 4OR |
| Issue Number | 2 |
| Volume Number | 14 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2016-03-03 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Due-date scheduling Queueing Production systems Simulation Production models Capacity pooling Performance evaluation; queueing; scheduling Industrial and Production Engineering Operation Research/Decision Theory Queueing theory Applications (congestion, allocation, storage, traffic, etc.) Optimization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Management Science and Operations Research Management Information Systems Computational Theory and Mathematics |
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