Global optimisation for a developed price discrimination model:A signomial geometric programming-based approach

Abstract

This paper presents a price discrimination model for a manufacturer who acts in two different markets. In order to have a fair price discrimination model and compare monopoly and competitive markets, it is assumed that there is no competitor in the first market (monopoly market) and there is a strong competitor in the other market (competitive market). The manufacturer objective is to maximize the total benefit in both markets. The decision variables are selling price, lot size, marketing expenditure, customer service cost, flexibility and reliability of production process, set up costs and quality of products. The proposed model in this paper is a signomial geometric programming problem which is difficult to solve and find the globally optimal solution. So, this signomial model is converted to a posynomial geometric type and using an iterative method, the globally optimal solution is found. To illustrate the capability of the proposed model, a numerical example is solved and the sensitivity analysis is implemented under different conditions.

Publication DOI: https://doi.org/10.1080/01605682.2019.1678408
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of the Operational Research Society on 24 March 2020, available online at: http://www.tandfonline.com/[10.1080/01605682.2019.1678408
Uncontrolled Keywords: Global optimisation,lot sizing,price discrimination,production planning,signomial geometric programming,Management Information Systems,Strategy and Management,Management Science and Operations Research,Marketing
Publication ISSN: 1476-9360
Last Modified: 20 May 2024 07:33
Date Deposited: 08 Oct 2019 07:50
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.tan ... rnalCode=tjor20 (Publisher URL)
PURE Output Type: Article
Published Date: 2021
Published Online Date: 2020-03-24
Accepted Date: 2019-10-08
Authors: Moradi, Saman
Omrani, Hashem
Emrouznejad, Ali (ORCID Profile 0000-0001-8094-4244)

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