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A Decision Support System Proposal for Closed Loop Production Routing Problem

Yıl 2020, Cilt: 35 Sayı: 2, 333 - 344, 30.06.2020
https://doi.org/10.21605/cukurovaummfd.792418

Öz

Production routing problem; is a supply chain problem where production, inventory, distribution and routing decisions are made together. The main aim of this problem is to make more cost-effective decisions, with decisions being made in an integrated manner. In this study, a decision support system that deals with the closed loop version of this problem is proposed. In the proposed decision support system, the DH algorithm has been applied for the production routing problem in closed loop supply chains. The DH algorithm decomposes the problem and aims to solve sub-problems interactively in a small time. In order to demonstrate the real-life applications of the system, the problem examined for a one-month planning period is applied for a company producing fats oil and it is found that the costs are lower than the current application.

Kaynakça

  • 1. Rogers, D.S., Tıbben-Lembke R.S., 1999. Going Backwards: Reverse Logistics Trends and Practices. Reverse Logistics Executive Council Pittsburgh, PA.
  • 2. Cats‐Baril, W.L., Huber, G.P., 1987. Decision Support Systems for Ill‐structured Problems: An Empirical Study. Decision Sciences, 18(3), 350-372.
  • 3. Sauter, V.L., 2014. Decision Support Systems for Business Intelligence. John Wiley & Sons, New Jersey, U.S.A.
  • 4. Kuvvetli, Y., 2016. Coordinated Production- inventory–distribution-routing Problem on Closed Loop Supply Chain with Recycling Option. Doktora Tezi, Çukurova Üniversitesi Fen Bilimleri Enstitüsü, 147, Adana.
  • 5. Salamı, E., Oral, E., Aydınlı, S., 2016. Yüklenici Firmaların Tedarik Zinciri Yönetimi Uygulamalarında Kritik Başarı Faktörleri. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 30(1), 17-24. DOI: 10.21605/cukurovaummfd.242785.
  • 6. Chandra, P., Fisher, M.L., 1994. Coordination of Production and Distribution Planning, European Journal of Operational Research, 72, 503-517.
  • 7. Kuhn, H., Liske, T., 2011. Simultaneous Supply and Production Planning, International Journal of Production Research, 49, 3795-3813.
  • 8. Fumero, F., Vercellis, C., 1999. Synchronized Development of Production, Inventory, and Distribution Schedules, Transportation Science, 33, 330-340.
  • 9. Bard, J.F., Nananukul, N., 2010. A Branch- and-price Algorithm for an Integrated Production and Inventory Routing Problem, Computers & Operations Research, 37, 2202-2217.
  • 10. Boudia, M., Louly, M.A.O., Prins, C., 2007. A Reactive GRASP and Path Relinking for a Combined Production-distribution Problem, Computers & Operations Research, 34, 3402-3419.
  • 11. Bard, J.F., Nananukul, N., 2009. The Integrated Production-inventory-distribution- routing Problem, Journal of Scheduling, 12, 257-280.
  • 12. Adulyasak, Y., Cordeau, J.-F., Jans, R., 2012. Optimization-based Adaptive Large Neighborhood Search for the Production Routing Problem, Transportation Science, 48, 20-45.
  • 13. Toptal, A., Koc, U., Sabuncuoglu, I., 2013. A Joint Production and Transportation Planning Problem with Heterogeneous Vehicles, Journal of the Operational Research Society, 65, 180-196.
  • 14. Manouchehri, F., Nookabadi, A.S., Kadivar, M., 2020. Production Routing in Perishable and Quality Degradable Supply Chains. Heliyon, 6(2), e03376.
  • 15. Li, Y., Chu, F., Côté, J.F., Coelho, L.C., Chu, C., 2020. The Multi-plant Perishable Food Production Routing with Packaging Consideration. International Journal of Production Economics, 221, 107472.
  • 16. Adulyasak, Y., Cordeau, J.F., Jans, R., 2015. The Production Routing Problem: A Review of Formulations and Solution Algorithms. Computers & Operations Research, 55, 141-152.
  • 17. Kannan, G., Sasikumar, P., Devika, K., 2010. A Genetic Algorithm Approach for Solving a Closed Loop Supply Chain Model: A Case of Battery Recycling, Applied Mathematical Modelling, 34, 655-670.
  • 18. Kim, T., Goyal, S.K., Kim, C.-H., 2013. Lot- Streaming Policy for Forward-reverse Logistics with Recovery Capacity İnvestment, The International Journal of Advanced Manufacturing Technology, 68, 509-522.
  • 19. Iassinovskaia, G., Limbourg, S., Riane, F., 2017. The Inventory-routing Problem of Returnable Transport Items with Time Windows and Simultaneous Pickup and Delivery in Closed-loop Supply Chains, International Journal of Production Economics, 183, 570-582.
  • 20. Fang, X.J., Du, Y.A., Qiu, Y.Z., 2017. Reducing Carbon Emissions in a Closed-loop Production Routing Problem with Simultaneous Pickups and Deliveries under Carbon Cap-and-Trade, Sustainability, 9, 15.
  • 21. Kuvvetli, Y., Erol, R., 2020. Coordination of Production Planning and Distribution in Closed-loop Supply Chains, Neural Comput & Applic (2020), https://doi.org/10.1007/s00521- 020-04770-5.
  • 22. Sutton, R.T., Pincock, D., Baumgart, D.C., Sadowski, D.C., Fedorak, R.N., Kroeker, K.I., 2020. An Overview of Clinical Decision Support Systems: Benefits, Risks, and Strategies for Success. NPJ Digital Medicine, 3(1), 1-10.
  • 23. Ali, M.F., Aziz, A.A., Sulong, S.H., 2020. The Role of Decision Support Systems in Smallholder Rubber Production: Applications, Limitations and Future Directions. Computers and Electronics in Agriculture, 173, 105442.
  • 24. Zarte, M., Pechmann, A., Nunes, I.L., 2019. Decision Support Systems for Sustainable Manufacturing Surrounding the Product and Production Life Cycle–a Literature Review. Journal of Cleaner Production, 219, 336-349.
  • 25. Giret, A., Trentesaux, D., Prabhu, V. , 2015. Sustainability in Manufacturing Operations Scheduling: A State of the art Review. Journal of Manufacturing Systems, 37, 126–140. doi:10.1016/j.jmsy.2015.08.002.

Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi

Yıl 2020, Cilt: 35 Sayı: 2, 333 - 344, 30.06.2020
https://doi.org/10.21605/cukurovaummfd.792418

Öz

Üretim rotalama problemi; üretim, envanter, dağıtım ve rotalama kararlarının bir arada verildiği bir tedarik zinciri problemidir. Bu problemin temel amacı, kararların entegre bir şekilde verilmesiyle birlikte maliyet açısından daha etkin kararlar almaktır. Bu çalışmada, bu problemin kapalı döngü versiyonunu ele alan bir karar destek sistemi önerilmiştir. Önerilen karar destek sisteminde kapalı döngü tedarik zincirlerindeki üretim rotalama problemi için DH algoritması uygulanmıştır. DH algoritması problemi parçalayarak alt problemleri etkileşimli bir şekilde hızla çözmeyi amaçlar. Sistemin gerçek hayat uygulamalarını gösterebilmek adına sıvı yağ üretimi yapan bir firma için bir aylık planlama dönemi için incelenen problem uygulanmış ve maliyetlerin mevcut duruma göre daha düşük olduğu görülmüştür.

Kaynakça

  • 1. Rogers, D.S., Tıbben-Lembke R.S., 1999. Going Backwards: Reverse Logistics Trends and Practices. Reverse Logistics Executive Council Pittsburgh, PA.
  • 2. Cats‐Baril, W.L., Huber, G.P., 1987. Decision Support Systems for Ill‐structured Problems: An Empirical Study. Decision Sciences, 18(3), 350-372.
  • 3. Sauter, V.L., 2014. Decision Support Systems for Business Intelligence. John Wiley & Sons, New Jersey, U.S.A.
  • 4. Kuvvetli, Y., 2016. Coordinated Production- inventory–distribution-routing Problem on Closed Loop Supply Chain with Recycling Option. Doktora Tezi, Çukurova Üniversitesi Fen Bilimleri Enstitüsü, 147, Adana.
  • 5. Salamı, E., Oral, E., Aydınlı, S., 2016. Yüklenici Firmaların Tedarik Zinciri Yönetimi Uygulamalarında Kritik Başarı Faktörleri. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 30(1), 17-24. DOI: 10.21605/cukurovaummfd.242785.
  • 6. Chandra, P., Fisher, M.L., 1994. Coordination of Production and Distribution Planning, European Journal of Operational Research, 72, 503-517.
  • 7. Kuhn, H., Liske, T., 2011. Simultaneous Supply and Production Planning, International Journal of Production Research, 49, 3795-3813.
  • 8. Fumero, F., Vercellis, C., 1999. Synchronized Development of Production, Inventory, and Distribution Schedules, Transportation Science, 33, 330-340.
  • 9. Bard, J.F., Nananukul, N., 2010. A Branch- and-price Algorithm for an Integrated Production and Inventory Routing Problem, Computers & Operations Research, 37, 2202-2217.
  • 10. Boudia, M., Louly, M.A.O., Prins, C., 2007. A Reactive GRASP and Path Relinking for a Combined Production-distribution Problem, Computers & Operations Research, 34, 3402-3419.
  • 11. Bard, J.F., Nananukul, N., 2009. The Integrated Production-inventory-distribution- routing Problem, Journal of Scheduling, 12, 257-280.
  • 12. Adulyasak, Y., Cordeau, J.-F., Jans, R., 2012. Optimization-based Adaptive Large Neighborhood Search for the Production Routing Problem, Transportation Science, 48, 20-45.
  • 13. Toptal, A., Koc, U., Sabuncuoglu, I., 2013. A Joint Production and Transportation Planning Problem with Heterogeneous Vehicles, Journal of the Operational Research Society, 65, 180-196.
  • 14. Manouchehri, F., Nookabadi, A.S., Kadivar, M., 2020. Production Routing in Perishable and Quality Degradable Supply Chains. Heliyon, 6(2), e03376.
  • 15. Li, Y., Chu, F., Côté, J.F., Coelho, L.C., Chu, C., 2020. The Multi-plant Perishable Food Production Routing with Packaging Consideration. International Journal of Production Economics, 221, 107472.
  • 16. Adulyasak, Y., Cordeau, J.F., Jans, R., 2015. The Production Routing Problem: A Review of Formulations and Solution Algorithms. Computers & Operations Research, 55, 141-152.
  • 17. Kannan, G., Sasikumar, P., Devika, K., 2010. A Genetic Algorithm Approach for Solving a Closed Loop Supply Chain Model: A Case of Battery Recycling, Applied Mathematical Modelling, 34, 655-670.
  • 18. Kim, T., Goyal, S.K., Kim, C.-H., 2013. Lot- Streaming Policy for Forward-reverse Logistics with Recovery Capacity İnvestment, The International Journal of Advanced Manufacturing Technology, 68, 509-522.
  • 19. Iassinovskaia, G., Limbourg, S., Riane, F., 2017. The Inventory-routing Problem of Returnable Transport Items with Time Windows and Simultaneous Pickup and Delivery in Closed-loop Supply Chains, International Journal of Production Economics, 183, 570-582.
  • 20. Fang, X.J., Du, Y.A., Qiu, Y.Z., 2017. Reducing Carbon Emissions in a Closed-loop Production Routing Problem with Simultaneous Pickups and Deliveries under Carbon Cap-and-Trade, Sustainability, 9, 15.
  • 21. Kuvvetli, Y., Erol, R., 2020. Coordination of Production Planning and Distribution in Closed-loop Supply Chains, Neural Comput & Applic (2020), https://doi.org/10.1007/s00521- 020-04770-5.
  • 22. Sutton, R.T., Pincock, D., Baumgart, D.C., Sadowski, D.C., Fedorak, R.N., Kroeker, K.I., 2020. An Overview of Clinical Decision Support Systems: Benefits, Risks, and Strategies for Success. NPJ Digital Medicine, 3(1), 1-10.
  • 23. Ali, M.F., Aziz, A.A., Sulong, S.H., 2020. The Role of Decision Support Systems in Smallholder Rubber Production: Applications, Limitations and Future Directions. Computers and Electronics in Agriculture, 173, 105442.
  • 24. Zarte, M., Pechmann, A., Nunes, I.L., 2019. Decision Support Systems for Sustainable Manufacturing Surrounding the Product and Production Life Cycle–a Literature Review. Journal of Cleaner Production, 219, 336-349.
  • 25. Giret, A., Trentesaux, D., Prabhu, V. , 2015. Sustainability in Manufacturing Operations Scheduling: A State of the art Review. Journal of Manufacturing Systems, 37, 126–140. doi:10.1016/j.jmsy.2015.08.002.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Yusuf Kuvvetli

Rızvan Erol

Yayımlanma Tarihi 30 Haziran 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 35 Sayı: 2

Kaynak Göster

APA Kuvvetli, Y., & Erol, R. (2020). Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 35(2), 333-344. https://doi.org/10.21605/cukurovaummfd.792418
AMA Kuvvetli Y, Erol R. Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi. cukurovaummfd. Haziran 2020;35(2):333-344. doi:10.21605/cukurovaummfd.792418
Chicago Kuvvetli, Yusuf, ve Rızvan Erol. “Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi”. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 35, sy. 2 (Haziran 2020): 333-44. https://doi.org/10.21605/cukurovaummfd.792418.
EndNote Kuvvetli Y, Erol R (01 Haziran 2020) Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 35 2 333–344.
IEEE Y. Kuvvetli ve R. Erol, “Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi”, cukurovaummfd, c. 35, sy. 2, ss. 333–344, 2020, doi: 10.21605/cukurovaummfd.792418.
ISNAD Kuvvetli, Yusuf - Erol, Rızvan. “Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi”. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 35/2 (Haziran 2020), 333-344. https://doi.org/10.21605/cukurovaummfd.792418.
JAMA Kuvvetli Y, Erol R. Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi. cukurovaummfd. 2020;35:333–344.
MLA Kuvvetli, Yusuf ve Rızvan Erol. “Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi”. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, c. 35, sy. 2, 2020, ss. 333-44, doi:10.21605/cukurovaummfd.792418.
Vancouver Kuvvetli Y, Erol R. Kapalı Döngü Üretim Rotalama Problemi için Bir Karar Destek Sistemi Önerisi. cukurovaummfd. 2020;35(2):333-44.