New requirements and developments in the world of business and commerce era provide a background to the emergence of new attitudes which are essential for those involved in the field of production and trade. In this regard, there are new approaches and attitudes toward the subject matter of supply chain which is following an approach to a green chain via environmental requirements. In this study, not only the suppliers directly associated with the company, but also those providing raw materials for manufacturers were also considered in a second layer of supply chain, so as to select optimal suppliers from the both layers. Considering the first and second layers of suppliers as well as the green factor, a criteria called “second layer” was developed, with its associated fuzzy numbers been calculated using a proposed method, so as to rank suppliers on the first layer in hierarchical fuzzy TOPSIS method based on different levels of alpha. Finally, in order to assign orders to suppliers from the first and second layer, multi-objective linear programming was used to formulate various constraints such as size of each supplier on either the first or second layers as well as the capacity of the communication paths between suppliers on the first layer and the buyer, with respect to extenuating circumstances. In this paper, a multi-product model is proposed to solve multiple sourcing supplier problem in green supply chains considering environmental issues. The proposed model aims to maximize value of the suppliers while minimizing the costs associated with environmental pollutions, purchasing expenses, fixed ordering cost, transportation costs and penalties for returned goods. The solution method succeed to improve epsilon constraint in GAMS Software. The efficiency and applicability of the proposed approach is further illustrated with a case study in a washing machine manufacturing company.
Accepté le :
DOI : 10.1051/ro/2016070
Mots clés : Supply chain management, multi-objective optimization, two layers of suppliers, hierarchical fuzzy TOPSIS, the augmented e-constraint method
@article{RO_2017__51_4_875_0,
author = {Eydi, Alireza and Bakhtiari, Mahnaz},
title = {A multi-product model for evaluating and selecting two layers of suppliers considering environmental factors},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
pages = {875--902},
publisher = {EDP-Sciences},
volume = {51},
number = {4},
year = {2017},
doi = {10.1051/ro/2016070},
mrnumber = {3783925},
zbl = {1400.90003},
language = {en},
url = {http://www.numdam.org/articles/10.1051/ro/2016070/}
}
TY - JOUR AU - Eydi, Alireza AU - Bakhtiari, Mahnaz TI - A multi-product model for evaluating and selecting two layers of suppliers considering environmental factors JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2017 SP - 875 EP - 902 VL - 51 IS - 4 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2016070/ DO - 10.1051/ro/2016070 LA - en ID - RO_2017__51_4_875_0 ER -
%0 Journal Article %A Eydi, Alireza %A Bakhtiari, Mahnaz %T A multi-product model for evaluating and selecting two layers of suppliers considering environmental factors %J RAIRO - Operations Research - Recherche Opérationnelle %D 2017 %P 875-902 %V 51 %N 4 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2016070/ %R 10.1051/ro/2016070 %G en %F RO_2017__51_4_875_0
Eydi, Alireza; Bakhtiari, Mahnaz. A multi-product model for evaluating and selecting two layers of suppliers considering environmental factors. RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 4, pp. 875-902. doi : 10.1051/ro/2016070. http://www.numdam.org/articles/10.1051/ro/2016070/
, and , Sustainable Supply Management: An Empirical Study. Int. J. Prod. Econ. 140 (2012) 168–82. | DOI
and , A Comparative Literature Analysis of Definitions for Green and Sustainable Supply Chain Management. J. Clean. Prod. 52 (2013) 329–41. | DOI
, and , Supplier Selection and Order Lot Sizing Modeling: A Review. Comput. Oper. Res. 34 (2007) 3516–40. | DOI | Zbl
and . Supplier Management in Developing Countries. J. Clean. Prod. 56 (2013) 54–62. | DOI
and , Green Management Matters Regardless. Acad. Manage. Perspect. 23 (2009) 17–26.
and . An Integrated Supplier Selection and Order Allocation Approach in a Battery Company. Makine Mühendisleri Odasi 19 (2009) 2–19.
, and . Fuzzy Multiobjective Linear Model for Supplier Selection in a Supply Chain. Int. J. Prod. Econ. 104 (2006) 394–407. | DOI
, and . A Weighted Max-min Model for Fuzzy Multi-Objective Supplier Selection in a Supply Chain. Int. J. Prod. Econ. 131 (2011) 139–45. | DOI
, , and , Supplier Selection and Order Allocation Based on Fuzzy SWOT Analysis and Fuzzy Linear Programming. Exp. Syst. Appl. 38 (2011) 334–42. | DOI
A.N. Yasin, S. Cevik, C. Kahraman, M. Gülbay and S. Ayça Erdogan. Multi Attribute Performance Evaluation Using a Hierarchical Fuzzy TOPSIS Method. In Fuzzy Applications in Industrial Engineering. Springer (2006) 537–72.
and , Integrating Sustainability into Supplier Selection with Grey System and Rough Set Methodologies. Int. J. Prod. Econ. 124 (2010) 252–64. | DOI
and , Decision-Making in a Fuzzy Environment. Manage. Sci. 17 (1970) B–141. | MR | Zbl
, and , A Review of Methods Supporting Supplier Selection. Eur. J. Purch. Suppl. Manage. 7 (2001) 75–89. | DOI
and , A Novel Hybrid MCDM Approach Based on Fuzzy DEMATEL, Fuzzy ANP and Fuzzy TOPSIS to Evaluate Green Suppliers. Exp. Syst. Appl. 39 (2012) 3000–3011. | DOI
, and , Application of Decision-Making Techniques in Supplier Selection: A Systematic Review of Literature. Exp. Syst. Appl. 40 (2013) 3872–85. | DOI
, Multi-Choice Goal Programming with Utility Functions. Eur. J. Oper. Res. 215 (2011) 439–45. | DOI | MR | Zbl
et al. Fuzzy MCDM Approach for Selecting the Best Environment-Watershed Plan. Appl. Soft Comput. 11 (2011) 265–75. | DOI
, Structured Methodology for Supplier Selection and Evaluation in a Supply Chain. Inform. Sci. 181 (2011) 1651–70. | DOI
, and , Operations Research for Green logistics-An Overview of Aspects, Issues, Contributions and Challenges. Eur. J. Oper. Res. 219 (2012) 671–79. | DOI
and , An Analysis of the Drivers Affecting the Implementation of Green Supply Chain Management. Resources, Conserv. Recycl. 55 (2011) 659–67. | DOI
, and , An Exploration of Green Supply Chain Practices and Performances in an Automotive Industry. Int. J. Adv. Manufact. Technol. 68 (2013) 949–61. | DOI
, An Analysis of Vendor Selection and the Buying Process. J. Purch. 2 (1966) 5–17. | DOI
, and , Green as the New Lean: How to Use Lean Practices as a Catalyst to Greening Your Supply Chain. J. Clean. Prod. 40 (2013) 93–100. | DOI
and , The Total Cost of Logistics in Supplier Selection, under Conditions of Multiple Sourcing, Multiple Criteria and Capacity Constraint. Int. J. Prod. Econ. 73 (2001) 15–27. | DOI
, and , A Decision Support System for Supplier Selection Using an Integrated Analytic Hierarchy Process and Linear Programming. Int. J. Prod. Econ. 56 (1998) 199–212. | DOI
, and , A Fuzzy Multi Criteria Approach for Measuring Sustainability Performance of a Supplier Based on Triple Bottom Line Approach. J. Clean. Prod. 47 (2013) 345–54. | DOI
, and , The Future of Operations Management: An Outlook and Analysis. Int. J. Prod. Econ. 135 (2012) 687–701.
, , and . Applying Environmental Criteria to Supplier Assessment: A Study in the Application of the Analytical Hierarchy Process. Eur. J. Oper. Res. 141 (2002) 70–87. | DOI | Zbl
and , A Natural-Resource-Based View of the Firm: Fifteen Years after. J. Manag. 37 (2010) 1464–1479.
, and , Multi-Criteria Decision Making Approaches for Supplier Evaluation and Selection: A Literature Review. Eur. J. Oper. Res. 202 (2010) 16–24. | DOI | Zbl
and , Applying Hazardous Substance Management to Supplier Selection Using Analytic Network Process. J. Clean. Prod. 17 (2009) 255–64. | DOI
, , and , Using DEMATEL to Develop a Carbon Management Model of Supplier Selection in Green Supply Chain Management. J. Clean. Prod. 56 (2013) 164–72. | DOI
and , Comprehensive and Configurable Metrics for Supplier Selection. Int. J. Prod. Econ. 105 (2007) 510–23. | DOI
, and , Integrating Environmental Criteria into the Supplier Selection Process. J. Mater. Process. Technol. 138 (2003) 349–56. | DOI
, and , Evaluation and Selection of Suppliers in Supply Chain Single Sourcing with Fuzzy Approach. J. Humanities Teacher 12 (2007) 127–53.
, , and , Integrating Fuzzy TOPSIS and Multi-Period Goal Programming for Purchasing Multiple Products from Multiple Suppliers. J. Purch. Supply Manag. 17 (2011) 42–53. | DOI
, , , and , Integrated Fuzzy Multi Criteria Decision Making Method and Multiobjective Programming Approach for Supplier Selection and Order Allocation in a Green Supply Chain. J. Clean. Prod. 47 (2013) 355–67. | DOI
and , Selecting Green Suppliers Based on GSCM Practices: Using Fuzzy TOPSIS Applied to a Brazilian Electronics Company. Eur. J. Oper. Res. 233 (2014) 432–47. | DOI | MR | Zbl
and , Multi-Criteria Decision Making for the Selection of CAD/CAM System. Int. J. Interactive Design Manufact. (IJIDeM) 2 (2008)151–59.
, and , A Hybrid Approach Using ISM and Fuzzy TOPSIS for the Selection of Reverse Logistics Provider. Res., Conserv. Recycl. 54 (2009) 28–36. | DOI
and , Integrated Analytical Hierarch Process and Mathematical Programming to Supplier Selection Problem with Quantity Discount. Appl. Math. Model. 33 (2009) 1417–29. | DOI | MR | Zbl
, and , Global Supplier Selection Using Fuzzy Analytic Hierarchy Process and Fuzzy Goal Programming. Qual. Quant. 44 (2010) 623-40. | DOI
, and . A Comprehensive Environment Friendly Approach for Supplier Selection. Omega 42 (2014) 109–23. | DOI
, and , A Fuzzy Goal Programming Approach for Vendor Selection Problem in a Supply Chain. Comput. Ind. Eng. 46 (2004) 69–85. | DOI
, and , Integration of Artificial Neural Network and MADA Methods for Green Supplier Selection. J. Clean. Prod. 18 (2010) 1161–70. | DOI
and , Green Logistics Management and Performance: Some Empirical Evidence from Chinese Manufacturing Exporters. Omega 40 (2012) 267–82. | DOI
and , Drivers of Green Supply Management Performance: Evidence from Germany. J. Purch. Supply Manag. 17 (2011) 176–84. | DOI
, , and , A Green Supplier Selection Model for High-Tech Industry. Expert Systems Appl. 36 (2009) 7917–27. | DOI
and , An Integrated Fuzzy TOPSIS and MCGP Approach to Supplier Selection in Supply Chain Management. Exp. Syst. Appl. 38 (2011) 10803–11. | DOI
, and , Sustainable Supply Chains: An Introduction. J. Oper. Manag. 25 (2007) 1075–82. | DOI
, and , Supplier Selection-Order Allocation: A Two-Stage Multiple Criteria Dynamic Programming Approach. Int. J. Prod. Econ. 132 (2011) 52–57. | DOI
, Effective Implementation of the -Constraint Method in Multi-Objective Mathematical Programming Problems. Appl. Math. Comput. 213 (2009) 455–65. | MR | Zbl
and , An Improved Version of the Augmented -Constraint Method (AUGMECON2) for Finding the Exact Pareto Set in Multi-Objective Integer Programming Problems. Appl. Math. Comput. 219 (2013) 9652–69. | MR | Zbl
and , Green Supply Chain Research: Past, Present, and Future. Logis. Res. 4 (2012) 39–47. | DOI
and , A New Approach for Supplier Selection Process from the Features of Second Layer Suppliers Point of View. Int. J. Ind. Eng. 21 (2010).
, Designing ’green’ vendor Rating Systems for the Assessment of a Supplier’s Environmental Performance. Eur. J. Purch. Supply Manag. 3 (1997) 103–14. | DOI
and , A Bilinear Goal Programming Model and a Modified Benders Decomposition Algorithm for Supply Chain Reconfiguration and Supplier Selection. Int. J. Prod. Econ. 124 (2010) 97–105. | DOI
and , Economic Lot and Delivery Scheduling Problem for Multi-Stage Supply Chains. Int. J. Prod. Econ. 136 (2012) 275–86. | DOI
, The Greening of Suppliers-in the South East Asian Context. J. Clean. Prod. 13 (2005) 935–45. | DOI
, and , Evaluating and Selecting the Supplier in Detergent Prod. Industry Using Hierarchical Fuzzy TOPSIS. Appl. Math. Model. 37 (2013) 10170–81. | DOI | Zbl
, Evaluating Environmentally Conscious Business Practices. Eur. J. Oper. Res. 107 (1998) 159–74. | DOI | Zbl
, A Strategic Decision Framework for Green Supply Chain Management. J. Clean. Prod. 11 (2003) 397–409. | DOI
, Models for Compassionate Operations. Int. J. Prod. Econ. 139 (2012) 359–65. | DOI
, and , An Organizational Theoretic Review of Green Supply Chain Management Literature. Int. J. Prod. Econ. 130 (2011) 1–15. | DOI
and , An Integrated Mathematical Model for Two Layers of Supplier Selection in the Supply Chain. Int. J. Ind. Eng. Prod. Res. (2011) 92–98
, A Review of Modeling Approaches for Sustainable Supply Chain Management. Decis. Supp. 54 (2013) 1513–20. | DOI
and , From a Literature Review to a Conceptual Framework for Sustainable Supply Chain Management. J. Clean. Prod. 16 (2008) 1699–1710. | DOI
and , , and , A Fuzzy Multi Criteria Approach for Evaluating Green Supplier’s Performance in Green Supply Chain with Linguistic Preferences. Res. Conserv. Recycl. 74 (2013) 170–79. | DOI
, and ., A Fuzzy TOPSIS Based Approach for E-Sourcing. Eng. Appl. Artif. Intell. 24 (2011) 437–48. | DOI
, , , and , Brazil’s New National Policy on Solid Waste: Challenges and Opportunities. Clean Technol. Environ. Policy 16 (2014) 7–9. | DOI
, Supply Chain Management: A State of the Art Literature Review. Int. J. Manag. Rev. 9 (2007) 53–80. | DOI
and , Evaluating Firm’s Green Supply Chain Management in Linguistic Preferences. J. Clean. Prod. 40 (2013) 22–31. | DOI
and , Extending Green Practices across the Supply Chain: The Impact of Upstream and Downstream Integration. Int. J. Operat. Prod. Manag. 26 (2006) 795–821. | DOI
and , A Hierarchical Fuzzy TOPSIS Approach to Assess Improvement Areas When Implementing Green Supply Chain Initiatives. Int. J. Prod. Res. 51 (2013) 3117–30. | DOI
, and , Fuzzy TOPSIS Method Based on Alpha Level Sets with an Application to Bridge Risk Assessment. Expert Syst. Appl. 31 (2006) 309–19. | DOI
, and , Vendor Selection Criteria and Methods. Eur. J. Oper. Res. 50 (1991) 2–18. | DOI | Zbl
and , A Literature Review of Decision-Making Models and Approaches for Partner Selection in Agile Supply Chains. J. Purch. Supply Manage. 17 (2011) 256–74. | DOI
, , , and , Fuzzy Multi-Objective Programming for Supplier Selection and Risk Modeling: A Possibility Approach. Eur. J. Oper. Res. 200 (2010) 774–87. | DOI | Zbl
and , Supply Chain Risk, Simulation, and Vendor Selection. Int. J. Prod. Econ. 114 (2008) 646–55. | DOI
, , , and , Don’t Forget Your Supplier When Remanufacturing. Eur. J. Oper. Res. 230 (2013) 15–25. | DOI | MR | Zbl
, , and , The Effect of Green Supply Chain Management on Green Performance and Firm Competitiveness in the Context of Container Shipping in Taiwan. Trans. Res. Part E: Logist. Trans. Rev. 55 (2013) 55–73. | DOI
and , Using Multi-Objective Genetic Algorithm for Partner Selection in Green Supply Chain Problems. Exp. Syst. Appl. 38 (2011) 4244–53. | DOI
, , and , Supplier Selection: An Expert System Approach. Prod. Plann. Control 18 (2007) 16–24. | DOI
and , A Weighted Additive Fuzzy Programming Approach for Multi-Criteria Supplier Selection. Exp. Syst. Appl. 38 (2011) 6281–86. | DOI
, A Fuzzy-Algorithmic Approach to the Definition of Complex or Imprecise Concepts. Int. J. Man-machine Studies 8 (1976) 249–91. | DOI | MR | Zbl
, and , A Combined Methodology for Supplier Selection and Performance Evaluation. Exp. Syst. Appl. 38 (2011) 2741–51. | DOI
Cité par Sources :
