Title: Dynamic Pareto-optimal group scheduling in parallel machine shop
Author: Yuri Mauergauz
Address: Infosoft Company, 119296, Leninski Avenue, 62/1, 228, Moscow, Russia
Abstract: This paper seeks to determine a dynamic Pareto-optimal method for parallel machine scheduling based on two criteria simultaneously: relative manufacturing cost criterion and average orders utility criterion. In this method, the concept of production intensity as a dynamic production process parameter is used. The method is applicable both for 'make-to-order' and 'make-to-stock' manufacturing strategies. A set of applied software allows scheduling for middle quantity of jobs. The result of software application is the set of non-dominant versions proposed to a user for making a final choice.
Keywords: parallel machine scheduling; production intensity; Pareto optimality; group scheduling; make-to-order; MTO manufacturing; make-to-stock; MTS manufacturing.
Int. J. of Industrial and Systems Engineering, 2014 Vol.18, No.2, pp.199 - 221
Available online: 04 Sep 2014