Benders decomposition for Supply Chain Network Redesign with Capacity planning and Multi-Period Pricing
Authors
Abstract:
Managing income is a considerable dimension in supply chain management in current economic atmosphere. Real world situation makes it inevitable not to design or redesign supply chain. Redesign will take place as costs increase or new services for customers’ new demands should be provided. Pricing is an important fragment of Supply chain due to two reasons: first, represents revenue based each product and second, based on supply-demand relations enables Supply chain to provide demands by making suitable changes in facilities and their capacities. In this study, Benders decomposition approach used to solve multi-product, multi-echelon and multi-period supply chain network redesign including price-sensitive customers.
similar resources
Benders Decomposition Algorithm for Competitive Supply Chain Network Design under Risk of Disruption and Uncertainty
In this paper, bi-level programming is proposed for designing a competitive supply chain network. A two-stage stochastic programming approach has been developed for a multi-product supply chain comprising a capacitated supplier, several distribution centers, retailers and some resellers in the market. The proposed model considers demand’s uncertainty and disruption in distribution centers and t...
full textA Modified Benders Decomposition Algorithm for Supply Chain Network Design under Risk Consideration
In today’s competitive business environment, the design and management of supply chainnetwork is one of the most important challenges that managers encounter. The supply chain network shouldbe designed for satisfying of customer demands as well as minizing the total system costs. This paper presentsa multi-period multi-stage supply chain network design problem under demand uncertainty. The prob...
full textOptimizing decentralized production–distribution planning problem in a multi-period supply chain network under uncertainty
Decentralized supply chain management is found to be significantly relevant in today’s competitive markets. Production and distribution planning is posed as an important optimization problem in supply chain networks. Here, we propose a multi-period decentralized supply chain network model with uncertainty. The imprecision related to uncertain parameters like demand and price of the final produc...
full textSupply Chain Optimization by Benders Decomposition
This paper introduces a formulation and a solution methodology for the problem of optimizing the supply chain (or logistics network) of a manufacturing firm. The problem is modeled as a linear mixed-integer program with binary variables associated with design decisions such as location, product range assignment and transportation mode selection, and continuous variables representing the flows o...
full texta modified benders decomposition algorithm for supply chain network design under risk consideration
in today’s competitive business environment, the design and management of supply chainnetwork is one of the most important challenges that managers encounter. the supply chain network shouldbe designed for satisfying of customer demands as well as minizing the total system costs. this paper presentsa multi-period multi-stage supply chain network design problem under demand uncertainty. the prob...
full textSupply Chain Operations Planning with Setup Times and Multi Period Capacity Consumption
Developing an efficient heuristic algorithm to solve a supply chain operations planning model is the main purpose of this paper. The model considers multi period supply chain planning with capacitated resources. The concept of multi period capacity consumption has been developed recently at the context of supply chain management that realizes resource planning at a supply chain. Because of cons...
full textMy Resources
Journal title
volume 28 issue 4
pages 351- 365
publication date 2017-11
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023