Order acceptance and scheduling in a parallel machine environment with weighted completion time Online publication date: Mon, 30-Jul-2018
by Venkata Prasad Palakiti; Usha Mohan; Viswanath Kumar Ganesan
European J. of Industrial Engineering (EJIE), Vol. 12, No. 4, 2018
Abstract: This paper studies the order acceptance and scheduling (OAS) problem in an identical parallel machine environment where orders are characterised by their revenues, processing times and weights. A mixed integer linear programming (MILP) model is presented for the problem with the objective of maximising the revenue minus the scheduling cost. The problem is NP- hard and a branch and bound (B&B) algorithm is developed to solve the problem. An extension of the B&B algorithm is proposed to solve very large problem instances to obtain ε-optimal solutions. The B&B algorithm and the extended B&B are evaluated for their performances against the solutions obtained by solving the MILP problem formulation using CPLEX solver through computational experiments. [Received 15 June 2017; Revised 2 February 2018; Accepted 10 March 2018]
Online publication date: Mon, 30-Jul-2018
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