A Recovery Model for Production Scheduling: Combination of Disruption Management and Internet of Things
It is difficult to generate the new schedule effectively for minimizing the negative impact when an unanticipated disruption occurs after a subset of tasks has been finished in production scheduling. In such cases, continuing with the original schedule may not be optimal or feasible. Based on disrup...
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| Veröffentlicht in: | Scientific programming 2016-01, Vol.2016 (2016), p.1-9 |
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| creator | Jiang, Yang Wang, Xuhui Ding, Qiulei |
| description | It is difficult to generate the new schedule effectively for minimizing the negative impact when an unanticipated disruption occurs after a subset of tasks has been finished in production scheduling. In such cases, continuing with the original schedule may not be optimal or feasible. Based on disruption management and Internet of things (IoT), this study designs a real-time status analyzer to identify the disruption and propose a recovery model to deal with the disruption. The computational result proves that our algorithm is competitive with the existing heuristics. Furthermore, due to the tradeoff between all participators (mainly including customers, managers of production enterprise, and workers) involved in production scheduling, our model is more effective than the total rescheduling and right-shift rescheduling. |
| doi_str_mv | 10.1155/2016/8264879 |
| format | Article |
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| ispartof | Scientific programming, 2016-01, Vol.2016 (2016), p.1-9 |
| issn | 1058-9244 1875-919X |
| language | eng |
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| source | Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Disruption Feasibility studies Internet of Things Production scheduling Recovery Rescheduling Task scheduling |
| title | A Recovery Model for Production Scheduling: Combination of Disruption Management and Internet of Things |
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