Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/325755 
Year of Publication: 
2023
Citation: 
[Journal:] Operations Research Perspectives [ISSN:] 2214-7160 [Volume:] 10 [Article No.:] 100269 [Year:] 2023 [Pages:] 1-12
Publisher: 
Elsevier, Amsterdam
Abstract: 
The presented paper considers the pricing and lot-sizing decisions for a manufacturer who produces and sells a single product in different selling channels i.e physical stock, website, mobile, etc. The objective is to find the production plan and prices of each channel to maximize the total profit defined from difference between the revenues and the productions, holding and setups costs. The consumers' demand in each channel is represented by attraction demand models which include the multinomial logit (MNL), multiplicative competitive interaction (MCI) and linear demand models. The addressed problem is formulated as a non-convex mixed-integer nonlinear program (MINLP). Based on properties of attraction functions, an efficient reformulation which transforms the initial non-convex problem into a convex one is presented. Therefore, an optimization approach based on the outer approximation algorithm is presented to solve the problem. Numerical tests based on large benchmark of real inspired instances show the efficiency of the proposed approach to solve the addressed problem compared to the initial non-convex model.
Subjects: 
Pricing
Attraction demand models
Lot-sizing
Multichannel
Nonlinear programming
Outer approximation
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.