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Year 2020, Volume: 33 Issue: 1, 135 - 150, 01.03.2020

Ahmet Aktas İzzettin Temiz

https://doi.org/10.35378/gujs.471083
Cited By: 6

Abstract

References

  • [1] Singh, A., 2014. Supplier evaluation and demand allocation among suppliers in a supply chain. Journal of Purchasing & Supply Management, 20, 167–176.
  • [2] Sadrnia, A., Ismail, N., Zulkifli, N., Ariffin, M.K.A., Nezamabadi-pour, H., Mirabi, H., 2013. A Multiobjective Optimization Model in Automotive Supply Chain Networks. Mathematical Problems in Engineering, 2013, 1-10.
  • [3] Plambeck, E.L., 2012. Reducing greenhouse gas emissions through operations and supply chain management. Energy Economics, 34, S64-S74.
  • [4] IPCC, 2007. Climate Change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, in: B. Metz, O.R. Davidson, P.R. Bosch, R. Dave, L.A. Meyer (Eds.), Cambridge, United Kingdom and New York, NY, USA.
  • [5] Altiparmak, F.,Gen, M., Lin, L., Paksoy, T., 2006. A genetic algorithm approach for multi-objective optimization of supply chain networks. Computers & Industrial Engineering, 51, 196-215.
  • [6] Torabi, S.A., Hassini, E., 2009. Multi-site production planning integrating procurement and distribution plans in multi-echelon supply chains: an interactive fuzzy goal programming approach. International Journal of Production Research, 47, 5475-5499.
  • [7] Franca, R.B., Jones, E.C., Richards, C.N., Carlson, J.P., 2010. Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality. International Journal of Production Economics, 127, 292-299.
  • [8] Bashiri, M., Badri, H., Talebi, J., 2012. A new approach to tactical and strategic planning in production–distribution networks. Applied Mathematical Modelling, 36, 1703-1717.
  • [9] Torabi, S.A., Moghaddam, M., 2012. Multi-site integrated production-distribution planning with trans-shipment: a fuzzy goal programming approach. International Journal of Production Research, 50, 1726-1748.
  • [10] Badri, H., Bashiri, M. Hejazi, T.H., 2013. Integrated strategic and tactical planning in a supply chain network design with a heuristic solution method. Computers & Operations Research, 40, 1143-1154.
  • [11] Paksoy, T., Pehlivan, N.Y., Özceylan, E., 2013. A New Tradeoff Model for Fuzzy Supply Chain Network Design and Optimization. Human and Ecological Risk Assessment: An International Journal, 19, 492-514.
  • [12] Peidro, D., Mula, J., Alemany, M.M.E., Lario, F.-C., 2012. Fuzzy multi-objective optimisation for master planning in a ceramic supply chain. International Journal of Production Research, 50, 3011-3020.
  • [13] Shaw, K., Shankar, R., Yadav, S.S., Thakur, L.S., 2013. Modeling a low-carbon garment supply chain. Production Planning & Control, 24, 851-865.
  • [14] Ahmadizar, F., Zeynivand, M., 2014. Bi-objective supply chain planning in a fuzzy environment. Journal of Intelligent & Fuzzy Systems, 26, 153–164.
  • [15] Paydar, M. M., Saidi-Mehrabad, M., 2015. Revised multi-choice goal programming for integrated supply chain design and dynamic virtual cell formation with fuzzy parameters. International Journal of Computer Integrated Manufacturing, 28:3, 251-265.
  • [16] Pan, F., Nagi, R., 2013. Multi-echelon supply chain network design in agile manufacturing. Omega, 41, 969-983.
  • [17] Su, W., Huang, S.X., Fan, Y.S., Mak, K.L., 2015. Integrated partner selection and production–distribution planning for manufacturing chains. Computers & Industrial Engineering, 84, 32–42.

Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission

Year 2020, Volume: 33 Issue: 1, 135 - 150, 01.03.2020

Ahmet Aktas İzzettin Temiz

https://doi.org/10.35378/gujs.471083
Cited By: 6

Abstract

Companies must manage their supply chains effectively under changing conditions in marketplace in order to be successful against their competitors. As a result of some regulations in recent years, companies are forced to consider the damage they cause to the environment by their supply chain activities. In this paper, a production-distribution problem, which concerns economic and environmental effects, is considered. A multi-product, multi-stage production-distribution network with different transportation alternatives is modelled in the problem. A goal programming model is proposed to support planning decisions of this production-distribution network by considering the profit of network activities and the carbon emission value caused by material and product transportation. A randomly generated set of test data was used to evaluate the effectiveness of the proposed model. The results show that the proposed model can be used as an effective tool for environmentally friendly production-distribution planning

Keywords

Production – distribution planning Goal programming Lead times Bill-of-materials Carbon emission

References

  • [1] Singh, A., 2014. Supplier evaluation and demand allocation among suppliers in a supply chain. Journal of Purchasing & Supply Management, 20, 167–176.
  • [2] Sadrnia, A., Ismail, N., Zulkifli, N., Ariffin, M.K.A., Nezamabadi-pour, H., Mirabi, H., 2013. A Multiobjective Optimization Model in Automotive Supply Chain Networks. Mathematical Problems in Engineering, 2013, 1-10.
  • [3] Plambeck, E.L., 2012. Reducing greenhouse gas emissions through operations and supply chain management. Energy Economics, 34, S64-S74.
  • [4] IPCC, 2007. Climate Change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, in: B. Metz, O.R. Davidson, P.R. Bosch, R. Dave, L.A. Meyer (Eds.), Cambridge, United Kingdom and New York, NY, USA.
  • [5] Altiparmak, F.,Gen, M., Lin, L., Paksoy, T., 2006. A genetic algorithm approach for multi-objective optimization of supply chain networks. Computers & Industrial Engineering, 51, 196-215.
  • [6] Torabi, S.A., Hassini, E., 2009. Multi-site production planning integrating procurement and distribution plans in multi-echelon supply chains: an interactive fuzzy goal programming approach. International Journal of Production Research, 47, 5475-5499.
  • [7] Franca, R.B., Jones, E.C., Richards, C.N., Carlson, J.P., 2010. Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality. International Journal of Production Economics, 127, 292-299.
  • [8] Bashiri, M., Badri, H., Talebi, J., 2012. A new approach to tactical and strategic planning in production–distribution networks. Applied Mathematical Modelling, 36, 1703-1717.
  • [9] Torabi, S.A., Moghaddam, M., 2012. Multi-site integrated production-distribution planning with trans-shipment: a fuzzy goal programming approach. International Journal of Production Research, 50, 1726-1748.
  • [10] Badri, H., Bashiri, M. Hejazi, T.H., 2013. Integrated strategic and tactical planning in a supply chain network design with a heuristic solution method. Computers & Operations Research, 40, 1143-1154.
  • [11] Paksoy, T., Pehlivan, N.Y., Özceylan, E., 2013. A New Tradeoff Model for Fuzzy Supply Chain Network Design and Optimization. Human and Ecological Risk Assessment: An International Journal, 19, 492-514.
  • [12] Peidro, D., Mula, J., Alemany, M.M.E., Lario, F.-C., 2012. Fuzzy multi-objective optimisation for master planning in a ceramic supply chain. International Journal of Production Research, 50, 3011-3020.
  • [13] Shaw, K., Shankar, R., Yadav, S.S., Thakur, L.S., 2013. Modeling a low-carbon garment supply chain. Production Planning & Control, 24, 851-865.
  • [14] Ahmadizar, F., Zeynivand, M., 2014. Bi-objective supply chain planning in a fuzzy environment. Journal of Intelligent & Fuzzy Systems, 26, 153–164.
  • [15] Paydar, M. M., Saidi-Mehrabad, M., 2015. Revised multi-choice goal programming for integrated supply chain design and dynamic virtual cell formation with fuzzy parameters. International Journal of Computer Integrated Manufacturing, 28:3, 251-265.
  • [16] Pan, F., Nagi, R., 2013. Multi-echelon supply chain network design in agile manufacturing. Omega, 41, 969-983.
  • [17] Su, W., Huang, S.X., Fan, Y.S., Mak, K.L., 2015. Integrated partner selection and production–distribution planning for manufacturing chains. Computers & Industrial Engineering, 84, 32–42.
There are 17 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Industrial Engineering
Authors

Ahmet Aktas 0000-0002-4394-121X

İzzettin Temiz 0000-0001-8672-1340

Publication Date March 1, 2020
Published in Issue Year 2020 Volume: 33 Issue: 1

Cite

APA Aktas, A., & Temiz, İ. (2020). Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission. Gazi University Journal of Science, 33(1), 135-150. https://doi.org/10.35378/gujs.471083
AMA Aktas A, Temiz İ. Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission. Gazi University Journal of Science. March 2020;33(1):135-150. doi:10.35378/gujs.471083
Chicago Aktas, Ahmet, and İzzettin Temiz. “Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission”. Gazi University Journal of Science 33, no. 1 (March 2020): 135-50. https://doi.org/10.35378/gujs.471083.
EndNote Aktas A, Temiz İ (March 1, 2020) Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission. Gazi University Journal of Science 33 1 135–150.
IEEE A. Aktas and İ. Temiz, “Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission”, Gazi University Journal of Science, vol. 33, no. 1, pp. 135–150, 2020, doi: 10.35378/gujs.471083.
ISNAD Aktas, Ahmet - Temiz, İzzettin. “Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission”. Gazi University Journal of Science 33/1 (March 2020), 135-150. https://doi.org/10.35378/gujs.471083.
JAMA Aktas A, Temiz İ. Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission. Gazi University Journal of Science. 2020;33:135–150.
MLA Aktas, Ahmet and İzzettin Temiz. “Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission”. Gazi University Journal of Science, vol. 33, no. 1, 2020, pp. 135-50, doi:10.35378/gujs.471083.
Vancouver Aktas A, Temiz İ. Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission. Gazi University Journal of Science. 2020;33(1):135-50.

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