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Scientific Programming
Volume 2016, Article ID 8264879, 9 pages
Research Article

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

1School of Light Industry & Chemical Engineering, Dalian Polytechnic University, Dalian 116034, China
2School of Business Administration, Dongbei University of Finance and Economics, Dalian 116025, China

Received 13 June 2016; Accepted 25 August 2016

Academic Editor: Chengyan Yue

Copyright © 2016 Yang Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.