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A Bi-Objective Stochastic Closed-loop Supply Chain Network Design Problem Considering Downside Risk
Amir Mohammad Fathollahi Fard,Fatemeh Gholian-Jouybari,Mohammad Mahdi Paydar,Mostafa Hajiaghaei-Keshteli 대한산업공학회 2017 Industrial Engineeering & Management Systems Vol.16 No.3
This paper deals with a closed-loop supply chain network and proposes new approaches in metaheuristics and exact methods as solution methods. Moreover, the downside risk is incorporated into the objective functions as a risk measure. Hence, the developed two-stage stochastic model aims to minimize the expected total cost and the downside risk, simultaneously. Besides, this study presents the closed-loop network which considers the forward and reverse networks in an integrated manner. In the forward network, this case just considers the forward network, while, the reverse logistic fully focused on the backward network by considering recovering centers (i.e. from recovering centers to remanufacture, recycling and disposal centers). In order to address the problem, ICA, PSO, GA, and also ɛ-constraint method, are utilized. In addition, the parameters of algorithms are tuned by Response Surface Method (RSM) with an MODM approach. To explain the efficiency and effectiveness of methods, four assessment metrics are introduced. At the end, the results show the capability of ICA through the most of the tests problem. According to the risk management, a real data set is used to do some sensitivity analyses on the proposed model.
A Bi-Objective Stochastic Closed-loop Supply Chain Network Design Problem Considering Downside Risk
Fard, Amir Mohammad Fathollahi,Gholian-Jouybari, Fatemeh,Paydar, Mohammad Mahdi,Hajiaghaei-Keshteli, Mostafa Korean Institute of Industrial Engineers 2017 Industrial Engineeering & Management Systems Vol.16 No.3
This paper deals with a closed-loop supply chain network and proposes new approaches in metaheuristics and exact methods as solution methods. Moreover, the downside risk is incorporated into the objective functions as a risk measure. Hence, the developed two-stage stochastic model aims to minimize the expected total cost and the downside risk, simultaneously. Besides, this study presents the closed-loop network which considers the forward and reverse networks in an integrated manner. In the forward network, this case just considers the forward network, while, the reverse logistic fully focused on the backward network by considering recovering centers (i.e. from recovering centers to remanufacture, recycling and disposal centers). In order to address the problem, ICA, PSO, GA, and also ${\varepsilon}$-constraint method, are utilized. In addition, the parameters of algorithms are tuned by Response Surface Method (RSM) with an MODM approach. To explain the efficiency and effectiveness of methods, four assessment metrics are introduced. At the end, the results show the capability of ICA through the most of the tests problem. According to the risk management, a real data set is used to do some sensitivity analyses on the proposed model.
Bio-recovery of municipal plastic waste management based on an integrated decision-making framework
Mohammad M. Shahsavar,Mehran Akrami,Zahra Kian,Mohammad Gheibi,Amir M. Fathollahi-Fard,Mostafa Hajiaghaei-Keshteli,Kourosh Behzadian 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.108 No.-
Recent years have seen a rapid development in industrialization and urbanization with a huge growth inthe population throughout the world. In this regard, an efficient and robust decision-making frameworkfor the concept of a green city and sustainable development goals to manage municipal plastic wastes isstill needed. This study models a bio-recovery of municipal different plastic wastes management basedon a new integrated Multi-Criterion Decision-Making (MCDM) approach through a case study inMashahd, Iran. The proposed integrated MCDM framework includes the Shannon Entropy (SE),Ordered Weighted Aggregation (OWA), Analytic Hierarchy Process (AHP), Technique for OrderPreference by Similarity to Ideal Solution (TOPSIS) and, ELimination Et Choice Translating REality(ELECTRE) systems in an intelligent way. Through decision-making computations, all criteria areapproved after extraction from the literature review by experts with more than 60% agreement percentage. Different scenarios of economic, energy, and environmental crises are created. One finding of thispaper is to propose a new entrance in economic competition with plastic biodegradation to present anovel, environmental-friendly product with high-quality and low-cost advantages. Another findingdetermines that with an application of plastic wastes bio-recovery, citizens’ satisfaction from urban managementsystem will be increased from 49% to 64%. Whereas, based on the outcomes of this investigation,the rate of municipal waste industries development, smart city goals’ meeting, and rate of hazardousmaterial emission from municipal solid wastes are increased to 58%, 25%, and 70%, respectively. Thedeclared numerical outcomes illustrate the effectiveness of plastic waste bio-recovery on the smart cityconcept.