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Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

Paydar, M.M., Olfati, M., Triki, C. (2021) Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement. RAIRO: Operations Research, 55 . S2509-S2541. ISSN 0399-0559. (doi:10.1051/ro/2020118) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91491)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1051/ro/2020118

Abstract

These days, clothing companies are becoming more and more developed around the world. Due to the rapid development of these companies, designing an efficient clothing supply chain network can be highly beneficial, especially with the remarkable increase in demand and uncertainties in both supply and demand. In this study, a bi-objective stochastic mixed-integer linear programming model is proposed for designing the supply chain of the clothing industry. The first objective function maximizes total profit and the second one minimizes downside risk. In the presented network, the initial demand and price are uncertain and are incorporated into the model through a set of scenarios. To solve the bi-objective model, weighted normalized goal programming is applied. Besides, a real case study for the clothing industry in Iran is proposed to validate the presented model and developed method. The obtained results showed the validity and efficiency of the current study. Also, sensitivity analyses are conducted to evaluate the effect of several important parameters, such as discount and advertisement, on the supply chain. The results indicate that considering the optimal amount for discount parameter can conceivably enhance total profit by about 20 compared to the time without this discount scheme. When the optimized parameter is taken into account for advertisement, 12 is obtained as total profit. © EDP Sciences, ROADEF, SMAI 2021.

Item Type: Article
DOI/Identification number: 10.1051/ro/2020118
Uncontrolled keywords: Costs; Integer programming; Profitability; Sensitivity analysis; Stochastic models; Stochastic systems; Supply chains; Textile industry, Biobjective model; Discount scheme; Goal programming; Mixed integer linear programming model; Objective functions; Optimized parameter; Supply and demand; Supply chain network, Garment industry
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Chefi Triki
Date Deposited: 29 Nov 2021 12:21 UTC
Last Modified: 30 Nov 2021 14:31 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91491 (The current URI for this page, for reference purposes)
Triki, C.: https://orcid.org/0000-0002-8750-2470
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