Journals / Gazi University Journal of Science / 2020 / Cilt: 33 - Sayı: 1

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

Pages
135–150
Publication Date
2020-03-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that the proposed model can be used as an effective tool for environmentally friendly production-distribution planning

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Companies must manage their supply chains effectively under changing conditions in marketplace in order to be successful against their competitors.
📊
Key Findings & Data:A randomly generated set of test data was used to evaluate the effectiveness of the proposed model.
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Conclusion & Impact:The results show that the proposed model can be used as an effective tool for environmentally friendly production-distribution planning
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Production – distribution planning · Goal programming · Lead times

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

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Cite This Article

AKTAS, A., TEMİZ, İ. (2020). Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission. Gazi University Journal of Science, Cilt: 33 - Sayı: 1, 135–150. https://ajindex.com/articles/254279

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References (13)

  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., S