A robust optimisation model for production planning and pricing under demand uncertainty. Issue 13 (2nd July 2016)

• Record Type: Journal Article
• Authors: Ardjmand, Ehsan; Weckman, Gary R.; Young, William A.; Sanei Bajgiran, Omid; Aminipour, Bizhan
• Is Part Of: International journal of production research. Volume 54:Issue 13(2016)
• Page Start: 3885
• Page End: 3905
• Publication Date: 2016-07-02
• Subjects: robust optimisation -- planning and pricing -- unconscious search -- uncertain demand; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2016.1161251
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : The profitability of every manufacturing plant is dependent on its pricing strategy and a production plan to support the customers' demand. In this paper, a new robust multi-product and multi-period model for planning and pricing is proposed. The demand is considered to be uncertain and price-dependent. Thus, for each price, a range of demands is possible. The unsatisfied demand is considered to be lost and hence, no backlogging is allowed. The objective is to maximise the profit over the planning horizon, which consists of a finite number of periods. To solve the proposed model, a modified unconscious search (US) algorithm is introduced. Several artificial test problems along with a real case implementation of the model in a textile manufacturing plant are used to show the applicability of the model and effectiveness of the US for tackling this problem. The results show that the proposed model can improve the profitability of the plant and the US is able to find high quality solutions in a very short time compared to exact methods.