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Journals / Mersin University Journal of Maritime Faculty / 2020 / Cilt: 2 - Sayı: 2

Multi-Period Mixed Integer Programming Model for Supply Chain Planning Under Safety Stock

Ahmet AKTAS
İzzettin TEMİZ
Pages
44–49
Publication Date
2020-12-31
DOI
—
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AI Summary & Key Takeaways

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

Solutions of a set of examples are also presented in order to test the model.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Supply chain management philosophy has been adopted by enterprises due to the requirement of customer demand satisfaction in reasonable times under market competition.
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Key Findings & Data:In case of rapid increase in product demands and/or occurrence of supply problems in materials, enterprises choose holding some amount of safety stock of several materials and products.
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Conclusion & Impact:Solutions of a set of examples are also presented in order to test the model.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Supply chain · Safety stock · Integer programming

Abstract

Supply chain management philosophy has been adopted by enterprises due to the requirement of customer demand satisfaction in reasonable times under market competition. In case of rapid increase in product demands and/or occurrence of supply problems in materials, enterprises choose holding some amount of safety stock of several materials and products. In this study, a multi-period, multi-product supply chain with different suppliers, material storages, production plants, distribution centers and customers is modeled. To determine the optimal production, supply and storage plans at minimum cost, a mixed-integer programming model is proposed. Capacity, bill-of-materials structure of products and placement of safety stocks are taken into account within the proposed model. Solutions of a set of examples are also presented in order to test the model.

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Cite This Article

AKTAS, A., TEMİZ, İ. (2020). Multi-Period Mixed Integer Programming Model for Supply Chain Planning Under Safety Stock. Mersin University Journal of Maritime Faculty, Cilt: 2 - Sayı: 2, 44–49. https://ajindex.com/articles/217019

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References (10)

  1. Aktas, A., Temi̇z, İ. (2020). “Goal Programming Model for Production-Distribution Planning by Considering Carbon Emission”. Gazi University Journal of Science, Vol. 33, No. 1, pp. 135-150.
  2. Aliev, R. A., Fazlollahi, B., Guirimov, B. G., Aliev, R. R., (2007), “Fuzzy-genetic approach to aggregate production–distribution planning in supply chain management”, Information Sciences, Vol. 177, pp. 4241-4255. Cóccola M. O., Méndez, C. A., Dondo, R. G., (2020), “A two-stage procedure for efficiently solving the integrated problem of production, inventory, and distribution of industrial products”, Computers and Chemical Engineering, 134, 106690 Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P., Mangini, A. M., (2012), “A model for supply management of agile manufacturing supply chains”. International Journal of Production Economics, Vol. 135, pp. 451-457.
  3. Ghadimi F., Aouam, T., (2021), “Planning capacity and safety stocks in a serial production–distribution system with multiple products, European Journal of Operational Research, 289, pp. 533–552.
  4. Graves, S. C., Willems, S. P., (2005), “Optimizing the Supply Chain Configuration for New Products”, Management Science, Vol. 51, pp. 1165-1180.
  5. Guarnaschelli, A., Salomone H. E., Méndez, C. A., (2020). “A stochastic approach for integrated production and distribution planning in dairy supply chains”, Computers & Chemical Engineering, 140, 106966. Khalifehzadeh, S., Seifbarghy, M., Naderi, B., (2017), “Solving a fuzzy multi objective model of a production–distribution system using meta-heuristic based approaches”. Journal of Intelligent Manufacturing, Vol. 28, pp. 95-109.
  6. Lakhal, S., Martel, A., Kettani, O., Oral, M., (2001), “On the optimization of supply chain networking decisions”, European Journal of Operational Research, Vol. 129, pp. 259-270.
  7. Liang, T.-F., (2008), “Fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chain”, Computers & Industrial Engineering, Vol. 55, pp. 676-694.
  8. Miranda, P. L., Morabito, R., Ferreira, D., (2018). “Optimization model for a production, inventory, distribution and routing problem in small furniture companies”. TOP, Vol. 26, pp. 30-67.
  9. Paksoy, T., Özceylan, E., Weber, G.-W., (2012), “Profit oriented supply chain network optimization”, Central European Journal of Operations Research, Vol. 21, pp. 455-478.
  10. Rafiei, H., Safaei, F., Rabbani M., (2018)., “Integrated production-distribution planning problem in a competitio