Ant colony optimisation for the bi-objective due-date-setting problem in the multi-class make-to-order firm. (1st January 2013)

• Record Type: Journal Article
• Authors: Honarvar, Mahboobeh; Chaharsooghi, S. Kamal; Modarres, Mohammad
• Is Part Of: International journal of industrial and systems engineering. Volume 13:Number 4(2013)
• Page Start: 496
• Page End: 520
• Publication Date: 2013-01-01
• Subjects: due-date -- price -- production -- capacity utilisation -- multi-objective ant colony -- multi-class; Systems engineering -- Periodicals; Industrial engineering -- Periodicals; 620.001171
• Languages: English
• ISSNs: 1748-5037

Abstract

In this study, we develop a bi-objective programming approach for due-date setting in make-to-order manufacturing with different classes of customers. We formulate the problem of quoting due-dates under the assumption that demand is dependent on lead-time and price is determined by the length of the delivery time. In addition, other parameters such as production policy, inventory holding, delivery system and capacity utilisation should be considered in due-date decisions. To this purpose, we consider additional objective function in traditional due-date management problem. So, the proposed bi-objective model attempts to maximise total profit and minimise rates of changes in capacity utilisation simultaneously. To obtain a set of Pareto solutions efficiently, we propose an algorithm based on multi-objective ant colony optimisation. The proposed algorithm is compared with a noticeable multi-objective genetic algorithm, i.e. SPEA, based on some comparison metrics with random instances.