A multi-objective stochastic model for a reverse logistics supply chain design with environmental considerations

被引:30
作者
Moslehi, M. Saleh [1 ]
Sahebi, Hadi [1 ]
Teymouri, Ashkan [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Ind Engn, Tehran, Iran
关键词
Reverse logistics; Waste electrical and electronic equipment; Scenario-based stochastic programming; Augmented epsilon-constraint method; NETWORK DESIGN; OPTIMIZATION MODEL; LIFE VEHICLES; WASTE; END; CONSTRUCTION; UNCERTAINTY; RECOVERY; SALES; WEEE;
D O I
10.1007/s12652-020-02538-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Some electronic devices have a short lifetime, and variety-seeking and consumerism are increasingly growing in today's societies. Moreover, electronic wastes contain precious substances such as gold, silver, copper, and aluminum. The proper disposal and processing of them by recycling offer considerable advantages to the environment, given the hazardous natures of such devices' substances. The proposed reverse logistics with waste electrical and electronic equipment (WEEE) is an important task considered by researchers, the use of which offers economic benefits and reduces the environmental impacts of wastes. The present study models the electrical and electronic equipment (EEE) reverse logistics process as a bi-objective mixed-integer programming model under uncertainties. The mathematical model investigates two objectives: an economic objective and an environmental objective. The first is minimizing cost, while the second is maximizing the environmental score by reverse logistics processes in recovering and recycling. The parameters of demand and WEEE return rate which is obtained from the customer were considered as two uncertain parameters. A scenario-based stochastic programming (SSP) approach is applied to deal with the uncertainties. A case study of an electronic equipment manufacturer in Esfahan, Iran was included. The model was solved by a nominal approach and an SSP approach via the epsilon-constraint (EC) and augmented epsilon-constraint (AEC) methods to obtain optimal Pareto solutions and compare the methods. Finally, the optimal results of the two approaches were evaluated. The results indicated that the SSP approach using the AEC method had better outcomes.
引用
收藏
页码:8017 / 8040
页数:24
相关论文
共 36 条
[1]   A multi-objective decision-making model to select waste electrical and electronic equipment transportation media [J].
Achillas, Ch. ;
Aidonis, D. ;
Vlachokostas, Ch. ;
Moussiopoulos, N. ;
Banias, G. ;
Triantafillou, D. .
RESOURCES CONSERVATION AND RECYCLING, 2012, 66 :76-84
[2]   A reverse logistics network design [J].
Alshamsi, Ahmed ;
Diabat, Ali .
JOURNAL OF MANUFACTURING SYSTEMS, 2015, 37 :589-598
[3]   Collection Center Location with Equity Considerations in Reverse Logistics Networks [J].
Alumur, Sibel A. ;
Tari, Isil .
INFOR, 2014, 52 (04) :157-173
[4]   Multi-period reverse logistics network design [J].
Alumur, Sibel A. ;
Nickel, Stefan ;
Saldanha-da-Gama, Francisco ;
Verter, Vedat .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2012, 220 (01) :67-78
[5]   Effects of uncertainty on a tire closed-loop supply chain network [J].
Amin, Saman Hassanzadeh ;
Zhang, Guoqing ;
Akhtar, Pervaiz .
EXPERT SYSTEMS WITH APPLICATIONS, 2017, 73 :82-91
[6]   Reverse production system infrastructure design for electronic products in the state of Texas [J].
Assavapokee, Tiravat ;
Wongthatsanekorn, Wuthichai .
COMPUTERS & INDUSTRIAL ENGINEERING, 2012, 62 (01) :129-140
[7]   Stochastic reverse logistics network design for waste of electrical and electronic equipment [J].
Ayvaz, Berk ;
Bolat, Bersam ;
Aydin, Nezir .
RESOURCES CONSERVATION AND RECYCLING, 2015, 104 :391-404
[8]  
Bozorgi-Amiri A, 2015, INT J IND ENG PROD M, V26, P299
[9]   A study on the environmental aspects of WEEE plastic recycling in a Brazilian company [J].
Campolina, Juliana Mendes ;
Sigrist, Carolina Sao Leandro ;
Faulstich de Paiva, Jane Maria ;
Nunes, Andrea Oliveira ;
da Silva Moris, Virginia Aparecida .
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2017, 22 (12) :1957-1968
[10]  
Dekker Rommert., 2013, Reverse logistics: quantitative models for closed-loop supply chains