A Recovery Model for Production Scheduling: Combination of Disruption Management and Internet of Things

Joint Authors

Jiang, Yang
Ding, Qiulei
Wang, Xuhui

Source

Scientific Programming

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-09-28

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Jiang, Yang& Ding, Qiulei& Wang, Xuhui. 2016. A Recovery Model for Production Scheduling: Combination of Disruption Management and Internet of Things. Scientific Programming،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1118394

Modern Language Association (MLA)

Jiang, Yang…[et al.]. A Recovery Model for Production Scheduling: Combination of Disruption Management and Internet of Things. Scientific Programming No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1118394

American Medical Association (AMA)

Jiang, Yang& Ding, Qiulei& Wang, Xuhui. A Recovery Model for Production Scheduling: Combination of Disruption Management and Internet of Things. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1118394

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1118394