a robust fuzzy-probabilistic programming model for a reliable supply chain network design problem

Authors

رضا قسمتی

کارشناس ارشد دانشکدة مهندسی صنایع، دانشگاه علم و صنعت مهدی غضنفری

استاد دانشکدة مهندسی صنایع، دانشگاه علم و صنعت میرسامان پیشوایی

استادیار دانشکدة مهندسی صنایع، دانشگاه علم و صنعت

abstract

supply chain network design decisions are among the strategic decisions of supply chain management which play significant role on the efficient performance of the supply chain. however, there are two challenging factors which may have great impact on the supply chain performance. these factors are on the one hand disruptions and their attendant damages and on the other hand uncertain nature of business-as-usual parameters. therefore, the supply chain being designed should be reliable against disruptions as well as should be robust under business-as-usual uncertainty. this paper proposes a new robust fuzzy-probabilistic programming model for designing a reliable multi-period supply chain network which can cope with the two challenging factors, simultaneously. at first, in order to design a reliable model, by taking into account two types of facilities, that are fail able and non-fail able against probabilistic disruptions, a hard worst case approach is employed. then to deal with business-as-usual uncertainty a robust fuzzy programming is developed. flexible constraints of customers and determining the optimum level of satisfying these constraints is also considered in the model. furthermore, to incorporate the concept of reliability in the problem and to cover the important features of real life supply chains, uncertain partial disruption and constraints of expected delivery time of customers are taken into account in the model. finally, an industrial case study related to a manufacturer engaged in the healthcare system of iran is applied to demonstrate the effectiveness and the applicability of the developed model.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

A ROBUST OPTIMIZATION MODEL FOR BLOOD SUPPLY CHAIN NETWORK DESIGN

The eternal need for humans' blood as a critical commodity makes the healthcare systems attempt to provide efficient blood supply chains (BSCs) by which the requirements are satisfied at the maximum level. To have an efficient supply of blood, an appropriate planning for blood supply chain is a challenge which requires more attention. In this paper, we address a mixed integer linear programming...

full text

A Robust Reliable Forward-reverse Supply Chain Network Design Model under Parameter and Disruption Uncertainties

Social responsibility is a key factor that could result in success and achieving great benefits for supply chains. Responsiveness and reliability are important social responsibility measures for consumers and all stakeholders that strategists and company managers should be concerned about them in long-term planning horizon. Although, presence of uncertainties as an intrinsic part of supply chai...

full text

An 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 text

A dynamic bi-objective model for after disaster blood supply chain network design; a robust possibilistic programming approach

Health service management plays a crucial role in human life. Blood related operations are considered as one of the important components of the health services. This paper presents a bi-objective mixed integer linear programming model for dynamic location-allocation of blood facilities that integrates strategic and tactical decisions. Due to the epistemic uncertain nature of ...

full text

A multi objective mixed integer programming model for design of a sustainable meat supply chain network

In the recent decades, rapid population growth has led to the significant increase in food demand. Food supply chain has always been one of the most important and challenging management issues. Product with short age, especially foodstuffs, is the most problematic challenges for supply chain management. These challenges are mainly due to the diversity in the number of these goods, the special n...

full text

A 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 text

My Resources

Save resource for easier access later


Journal title:
مهندسی صنایع

جلد ۵۰، شماره ۱، صفحات ۵۳-۶۸

Keywords
supply chain network design decisions are among the strategic decisions of supply chain management which play significant role on the efficient performance of the supply chain. however there are two challenging factors which may have great impact on the supply chain performance. these factors are on the one hand disruptions and their attendant damages and on the other hand uncertain nature of business as usual parameters. therefore the supply chain being designed should be reliable against disruptions as well as should be robust under business as usual uncertainty. this paper proposes a new robust fuzzy probabilistic programming model for designing a reliable multi period supply chain network which can cope with the two challenging factors simultaneously. at first in order to design a reliable model by taking into account two types of facilities that are fail able and non fail able against probabilistic disruptions a hard worst case approach is employed. then to deal with business as usual uncertainty a robust fuzzy programming is developed. flexible constraints of customers and determining the optimum level of satisfying these constraints is also considered in the model. furthermore to incorporate the concept of reliability in the problem and to cover the important features of real life supply chains uncertain partial disruption and constraints of expected delivery time of customers are taken into account in the model. finally an industrial case study related to a manufacturer engaged in the healthcare system of iran is applied to demonstrate the effectiveness and the applicability of the developed model.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023