Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26786
Title: A scheduling model for the refurbishing process in recycling management
Authors: Cheng, TCE 
Lin, BMT
Tian, Y
Keywords: Approximation algorithm
Operation-based performance measure
Refurbishing flowshop
Weighted total completion time
Issue Date: 2013
Publisher: Taylor & Francis Ltd
Source: International journal of production research, 2013, v. 51, no. 23-24, p. 7120-7139 How to cite?
Journal: International Journal of Production Research 
Abstract: We propose from the perspective of operations scheduling a novel model of the refurbishing process in recycling management. We model the refurbishing process as a two-stage flowshop that dismantles products into parts in stage one and refurbishes the parts on dedicated machines in stage two. The model also features that the performance measure of a schedule is defined by operation-based completion times, which is different from the job-based performance measures traditionally adopted in the scheduling literature. We analyse the optimality properties and computational complexity of some special cases of the problem. We derive lower bounds on the optimal solution based on a disaggregation technique and the assignment problem, and develop dominance rules incorporating estimates of the effects of partial schedules on unscheduled jobs. We present a heuristic approach, based on LP relaxation, and analyse its performance ratio. We also develop two metaheuristic algorithms, based on iterated local search and ant colony optimisation, to produce approximate solutions. The results of computational experiments show that the metaheuristics generate better solutions than the simple weighted shortest processing time dispatching rule, and the NEH-based and CDS-based algorithms, which are commonly deployed to treat the classical two-machine flowshop scheduling problem.
URI: http://hdl.handle.net/10397/26786
ISSN: 0020-7543
DOI: 10.1080/00207543.2013.842024
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