robust model for designing a dynamic closed-loop supply chain with adjustable capacity
Authors
abstract
in this paper, firstly by using a mixed linear programming a new model of locating facilities with limited capacity is presented to design a closed-loop supply chain in a multi-product and multi-period mode. then, using a robust optimization approach, the proposed model decreases in non-deterministic expansion. the results show that the proposed model can handle facility capacity in a closed loop logistics network. in addition, the results showed that the cost and time of test problems for the robust model is higher than the deterministic model.
similar resources
A Network Design Model for a Resilient Closed-Loop Supply Chain with Lateral Transshipment
This paper develops a model for the closed-loop supply chain network design with disruption risk. By considering supply disruption, two factors including extra inventory and lateral transshipment are used as resilience strategies. The main purpose is to reduce the supply chain costs due to the location decisions, quantity of products between different levels and lost sale. Disruption in a suppl...
full textA joint pricing-network design model for a resilient closed-loop supply chain under quantity discount
In this paper, a novel resilient multi-echelon closed-loop location-allocation-inventory problem (RMCLIP) is addressed that optimizes strategic and tactical decisions simultaneously. In order to represent the purchasing cost of raw material from the supplier, a pricing model under quantity discounts is employed in the closed-loop supply chain (CLSC). Considering the capability of returning the ...
full textAn Inexact-Fuzzy-Stochastic Optimization Model for a Closed Loop Supply Chain Network Design Problem
The development of optimization and mathematical models for closed loop supply chain (CLSC) design has attracted considerable interest over the past decades. However, the uncertainties that are inherent in the network design and the complex interactions among various uncertain parameters are challenging the capabilities of the developed tools. The aim of this paper, therefore, is to propose a n...
full textA Bi-objective Mathematical Model for Closed-loop Supply Chain Network Design Problem
In this paper, a bi-objective mixed-integer linear optimization model for Closed-loop Supply Chain Network Design Problem (CLSCND) is developed. The proposed model includes both the forward and reverse directions and includes different types of facilities, namely, manufacturing/remanufacturing centers, warehouses, and disassembly centers. The first objective function tried to minimize the total...
full textFuzzy Mathematical Model For A Lot-Sizing Problem In Closed-Loop Supply Chain
The aim of lot sizing problems is to determine the periods where production takes place and the quantities to be produced in order to satisfy the customer demand while minimizing the total cost. Due to its importance on the efficiency of the production and inventory systems, Lot sizing problems are one of the most challenging production planning problems and have been studied for many years wit...
full textA Mixed Integer Linear Programming Model for the Design of Remanufacturing Closed–loop Supply Chain Network
Closed-loop supply chain network design is a critical issue due to its impact on both economic and environmental performances of the supply chain. In this paper, we address the problem of designing a multi-echelon, multi-product and capacitated closed-loop supply chain network. First, a mixed-integer linear programming formulation is developed to maximize the total profit. The main contribution...
full textMy Resources
Save resource for easier access later
Journal title:
مهندسی صنایعجلد ۵۰، شماره ۲، صفحات ۲۰۵-۲۲۰
Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023