Rescheduling of flexible job shops under machine breakdowns

Authors:
Shahid Ikramullah Butt;Sun Hou Fang
Affiliations:
Department of Manufacturing and Automation, Beijing Institute of Technology, Beijing, China;Department of Manufacturing and Automation, Beijing Institute of Technology, Beijing, China
Venue:
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Year:
2006

Citing 3
Cited 0

Scheduling with unexpected machine breakdowns

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Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods

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Generating robust and flexible job shop schedules using genetic algorithms

IEEE Transactions on Evolutionary Computation

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Abstract

In today's competitive environment rescheduling is a necessary evil in case of shop floor disturbances like machine breakdown. This paper gives a robust rescheduling strategy to deal with such situation in the flexible job shop environment. An effective use of Genetic Algorithm (GA) and scheduling rules is done with the adaptive crossover and mutation to obtain a feasible schedule as well as reschedule. An innovative approach for rescheduling is adopted to deal with the machine breakdown. This gives management an ease of assigning jobs' operations to different work centers. This paper also solves the benchmark problem MT10 for different instances in Flexible Job Shop environment for rescheduling in case of machine breakdown. Results of simulation studies for scheduling and rescheduling are also given by using developed software for comparison purpose.