Decoding methods for the flow shop scheduling with peak power consumption constraints. Issue 10 (19th May 2019)

• Record Type: Journal Article
• Authors: Wang, Jing-jing; Wang, Ling
• Is Part Of: International journal of production research. Volume 57:Issue 10(2019)
• Page Start: 3200
• Page End: 3218
• Publication Date: 2019-05-19
• Subjects: Flow shop scheduling -- energy consumption -- peak power constraints -- decoding method; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2019.1571252
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : The permutation flow shop scheduling problem (PFSP) is of wide application backgrounds and plays an important role in the manufacturing systems. With the serious energy concerns in manufacturing enterprises, peak power consumption is considered one of the significant issues. For the PFSP with peak power consumption constraints (PFSPP), the real-time power consumption cannot exceed a given peak power at any time. Since the classical first-come first-serve scheduling method is not suitable for the PFSPP, this paper addresses the decoding methods to obtain feasible schedules based on the permutation encoding scheme. First, an earliest processing rule (EPR) is designed to determine the starting time of each operation, satisfying the power consumption constraints. Then, five decoding methods based on EPR are proposed to determine the suitable priority between the operations to yield feasible schedules with high quality. After analysing the complexity of the proposed decoding methods and comparing the performances via extensive numerical tests, some suggestions are provided for solving the PFSPP with different scales and power constraints.