A multi-objective fuzzy linear programming model for optimization of natural gas supply chain through a greenhouse gas reduction approach

Abstract Natural gas is one of the most important sources of energy for many of the industrial and residential users in the world. It has a complex and huge supply chain which is in need of heavy investments in all the stages of exploration, extraction, production, transportation, storage and distribution. The aim of this study is evaluation and optimization of natural gas supply chain using a multi-objective multi-period fuzzy linear programming model considering economic and environmental objectives. In the proposed model, to deal with uncertainty, the parameters of problem including demand, capacity and cost are considered as fuzzy parameters. To solve the problem, a combination of possibilistic programming approach based on previous approach is used to verify and validate the model. A small-sized problem was solved using GAMS 23.2 software and sensitivity analysis is conducted on its parameters. To the best of our knowledge, this is the first study that presents a multi-objective fuzzy linear programming model for optimization of natural gas supply chain through a greenhouse gas reduction approach.

[1]  Serge Domenech,et al.  Total Cost Minimization of a High-Pressure Natural Gas Network , 2009 .

[2]  K. Caldeira,et al.  Energy Switching Threshold for Climatic Benefits , 2013 .

[3]  José Eugenio Leal,et al.  The development of a natural gas transportation logistics management system , 2011 .

[4]  Amelia Bilbao-Terol,et al.  Solving a multiobjective possibilistic problem through compromise programming , 2005, Eur. J. Oper. Res..

[5]  Ma Chun.  Coal classification based on environmental protection and burning quality , 2009 .

[6]  Claudemir Duca Vasconcelos,et al.  Network flows modeling applied to the natural gas pipeline in Brazil , 2013 .

[7]  S.A. Torabi,et al.  An interactive possibilistic programming approach for multiple objective supply chain master planning , 2008, Fuzzy Sets Syst..

[8]  Shuifen Zhan,et al.  Evaluation and simulation for ecological risk based on emergy analysis and Pressure-State-Response Model in a coastal city, China , 2012 .

[9]  Stefan Seuring,et al.  A review of modeling approaches for sustainable supply chain management , 2013, Decis. Support Syst..

[10]  Efstratios N. Pistikopoulos,et al.  Environmentally conscious long-range planning and design of supply chain networks , 2005 .

[11]  Turan Paksoy,et al.  A MULTI OBJECTIVE MODEL FOR OPTIMIZATION OF A GREEN SUPPLY CHAIN NETWORK , 2010 .

[12]  A. Makui,et al.  Optimal gas distribution network using minimum spanning tree , 2010, 2010 IEEE 17Th International Conference on Industrial Engineering and Engineering Management.

[13]  Juan-Carlos Ferrer,et al.  A Mixed-Integer Programming Model for Gas Purchase and Transportation , 2005, Ann. Oper. Res..

[14]  J.A.E.E. van Nunen,et al.  Designing and Evaluating Sustainable Logistics Networks , 2006 .

[15]  Kin Keung Lai,et al.  Deterministic global optimization approach to steady-state distribution gas pipeline networks , 2007 .

[16]  Amelia Bilbao-Terol,et al.  Linear programming with fuzzy parameters: An interactive method resolution , 2007, Eur. J. Oper. Res..

[17]  Shuifen Zhan,et al.  Modeling the effect of humidity on the threshold friction velocity of coal particles , 2012 .

[18]  Shuifen Zhan,et al.  Modeling particulate matter emissions during mineral loading process under weak wind simulation. , 2013, The Science of the total environment.

[19]  Alexander Martin,et al.  A simulated annealing algorithm for transient optimization in gas networks , 2007, Math. Methods Oper. Res..

[20]  S.M.T. Fatemi Ghomi,et al.  Multi-objective green supply chain optimization with a new hybrid memetic algorithm using the Taguchi method , 2012 .

[21]  Reay-Chen Wang,et al.  Applying possibilistic linear programming to aggregate production planning , 2005 .

[22]  Shuifen Zhan,et al.  Dynamic modelling for ecological and economic sustainability in a rapid urbanizing region , 2012 .

[23]  K. Caldeira,et al.  Evaluating the Climate Effects of Natural Gas Versus Coal Electricity Generation , 2014 .

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

[25]  Napsiah Ismail,et al.  Multi-Echelon Supply Chain Design in Natural Gas Industry , 2012 .

[26]  Ju Mei-ting,et al.  Energy consumption and carbon emissions in a coastal city in China , 2011 .

[27]  Alireza Kabirian,et al.  A strategic planning model for natural gas transmission networks , 2007 .

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