Multi-Objective Optimization of Economic and Environmental Aspects of a Three-Echelon Supply Chain

It is very relevant in today’s competitive world for suppliers to ensure that customer demanded products are made available. Customers expect to obtain a product that has benefits and are available within an acceptable price and time. It is necessary for companies to optimally use their ability to satisfy customers’ specified needs. Researchers and industries are working on developing green supply chain concept in the last few years due to environmental concerns. The objective of this chapter is to propose a three-echelon supply chain model that optimizes economic and environmental objectives simultaneously. The objectives considered are minimizing the total supply chain cost and minimizing CO2 emission of the supply chain network. The proposed model falls into NP-hard category. Multi-objective genetic algorithm is proposed to solve the proposed model and illustration is provided to explain the use of the proposed model. A procedure that could be followed to find the best possible solution based on user’s choice among the Pareto front solutions is also explained.

[1]  Ahmad Jafarian,et al.  Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic , 2015, Comput. Oper. Res..

[2]  Petrica C. Pop,et al.  An efficient Reverse Distribution System for solving sustainable supply chain network design problem , 2015, J. Appl. Log..

[3]  F. Chan,et al.  An incorporated inventory transport system with two types of customers for multiple perishable goods , 2012 .

[4]  Kannan Govindan,et al.  Application of fuzzy VIKOR for evaluation of green supply chain management practices , 2015 .

[5]  K. Govindan,et al.  A sustainable supply chain for organic, conventional agro-food products: The role of demand substitution, climate change and public health , 2018, Journal of Cleaner Production.

[6]  Christine L. Mumford,et al.  A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling , 2014 .

[7]  Jye-Chyi Lu,et al.  Designing sustainable supply chain networks under uncertain environments: Fuzzy multi-objective programming , 2018 .

[8]  Peter J. Byrne,et al.  A case analysis of a sustainable food supply chain distribution system—A multi-objective approach , 2014 .

[9]  Masato Inoue,et al.  Modeling and Balancing for Costs and CO2 Emissions in Global Supply Chain Network among Asian Countries , 2015 .

[10]  Augusto Q. Novais,et al.  A multi-objective meta-heuristic approach for the design and planning of green supply chains - MBSA , 2016, Expert Syst. Appl..

[11]  Nursel Öztürk,et al.  Integrated Emission and Fuel Consumption Calculation Model for Green Supply Chain Management , 2014 .

[12]  S. Goyal,et al.  Channel coordination and profit distribution in a social responsible three-layer supply chain , 2015 .

[13]  Jafar Razmi,et al.  A new multi objective optimization model for designing a green supply chain network under uncertainty , 2015 .

[14]  Mark A. Turnquist,et al.  Inventory, transportation, service quality and the location of distribution centers , 2001, Eur. J. Oper. Res..

[15]  A. Gunasekaran,et al.  Knowledge management system for operating parameters in two-echelon VMI supply chains , 2007 .

[16]  Jasper Rigter,et al.  Investigating the option of installing small scale PVs on facility rooftops in a green supply chain , 2013 .

[17]  Reza Zanjirani Farahani,et al.  A distribution planning model for natural gas supply chain: A case study , 2009 .

[18]  Mir Saman Pishvaee,et al.  Environmental supply chain network design using multi-objective fuzzy mathematical programming , 2012 .

[19]  Ting Zhang,et al.  Green supply chain coordination with greenhouse gases emissions management: a game-theoretic approach , 2016 .

[20]  Zulfiquar N. Ansari,et al.  A state-of-art literature review reflecting 15 years of focus on sustainable supply chain management , 2017 .

[21]  Adil Baykasoğlu,et al.  Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming , 2015 .

[22]  Petter Jofred,et al.  CO2 Emissions from Freight Transport and the Impact of Supply Chain Management - A case study at Atlas Copco Industrial Technique , 2011 .

[23]  A. Sadegheih Scheduling problem using genetic algorithm, simulated annealing and the effects of parameter values on GA performance , 2006 .

[24]  Xiaofan Lai,et al.  A multi-objective optimization for green supply chain network design , 2011, Decis. Support Syst..

[25]  Wei-Chang Yeh,et al.  Using multi-objective genetic algorithm for partner selection in green supply chain problems , 2011, Expert Syst. Appl..

[26]  P. Gu,et al.  Low-carbon scheduling and estimating for a flexible job shop based on carbon footprint and carbon efficiency of multi-job processing , 2015 .

[27]  Damianos P. Sakas,et al.  The impact of Information Technology on the development of Supply Chain Competitive Advantage , 2014 .

[28]  S. H. Ghodsypour,et al.  The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint , 2001 .

[29]  Arvind Jayant,et al.  Analysis of the Barriers for Implementing Green Supply Chain Management (GSCM) Practices: An Interpretive Structural Modeling (ISM) Approach☆ , 2014 .

[30]  N. Jawahar,et al.  A genetic algorithm for the two-stage supply chain distribution problem associated with a fixed charge , 2009, Eur. J. Oper. Res..

[31]  S. Narayanan,et al.  Single-Echelon Supply Chain Two Stage Distribution Inventory Optimization Model for the Confectionery Industry , 2011 .

[32]  Nenad Bjelic,et al.  A two-echelon location-routing model for designing recycling logistics networks with profit: MILP and heuristic approach , 2016, Expert Syst. Appl..

[33]  H. Wee,et al.  Integrated inventory model for deteriorating items under a multi-echelon supply chain environment , 2003 .

[34]  Qian Wang,et al.  Developing a meat supply chain network design using a multi-objective possibilistic programming approach , 2017 .

[35]  Kannan Govindan,et al.  Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food , 2014 .