Authors: Anis Gharbi; Mohamed Labidi; Mohamed Haouari
Addresses: Princess Fatimah Al-Nijriss Research Chair for Advanced Manufacturing Technologies, Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia ' Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia ' Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Qatar
Abstract: We investigate the single machine scheduling problem with job release dates and due dates, and multiple planned unavailability time periods. This problem arises in the context of machine scheduling with planned preventive maintenance and might be viewed as a generalisation of several fundamental single-machine problems. The contribution of this paper is two-fold. First, we propose a new lower bound that is based on the concept of semi-preemptive scheduling. Second, we propose an exact algorithm that requires solving a sequence of one-machine problems without availability constraints. We report the results of extensive computational experiments that provide evidence that the semi-preemptive lower bound is very tight and that the proposed algorithm consistently delivers optimal solution for instances with up to 1,000 jobs while requiring short CPU times. [Received 21 May 2012; Revised 14 March 2013; Revised 23 September 2013; Accepted 5 January 2014]
Keywords: single machine scheduling; unavailability constraints; job release dates; delivery times; maximum lateness; due dates; planned preventive maintenance.
European Journal of Industrial Engineering, 2015 Vol.9 No.2, pp.244 - 260
Published online: 02 Apr 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article