Araştırma Makalesi
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TAMİR SÜRECİNİ İÇEREN GERİ DÖNÜŞÜM SÜRECİ İÇİN YENİ BİR ENVANTER MODELİ GELİŞTİRİLMESİ

Yıl 2020, Cilt: 8 Sayı: 4, 1086 - 1098, 25.12.2020
https://doi.org/10.21923/jesd.776390

Öz

Bu çalışmada, geri dönüşüm süreci, kusursuz hale getirilmek için toplanan ürünlerin tamamının ya geri dönüşerek ya da kısmı geri dönüşerek işlendiği ve kalan kısmın ise tamir edildikten sonra geri dönüşüme verilmesi durumunu gösteren bir envanter modeli geliştirilmiştir. Önerilen model geri dönüşüm envanter modelinin tamir durumunu ele alan bir modelidir. Model örnek bir uygulama problemi ile desteklenerek çözümlenmiştir. Ayrıca talep, marjinal geri alım oranı ve kullanım oranı birim zamanda toplam maliyet gibi matematiksel maliyetleri ve çevrim sürelerinin değişim sonuçları için üç faktör üç seviye olacak şekilde bir tam faktöriyel L27 deney tasarımı uygulaması gerçekleştirilmiştir. Sonuçta geri dönüşüm ve tamir sürecinde marketlerden geri alınan ürünler hiç atık olmayacak şekilde ya geri dönüşüyor ya da tamir edildiği görünmektedir. Sonraki araştırma konusu olarak; geri dönüşüm envanter modelleri için araştırmacılar ve endüstri uygulamacıları için araştırma boşlukları ve fırsatları gösterilmiştir.

Kaynakça

  • Akçalı, E., & Çetinkaya, S. 2011. Quantitative models for inventory and production planning in closed-loop supply chains. International Journal of Production Research, 49(8), 2373-2407.
  • Chan, W. M., Ibrahim R. N., Lochert, P. B., 2003. A new EPQ model: integrating lower pricing, rework and reject situations, Production Planning and Control, 14 (7), 588-595.
  • Chen, Z., & Bidanda, B. (2019). Sustainable manufacturing production-inventory decision of multiple factories with JIT logistics, component recovery and emission control. Transportation Research Part E: Logistics and Transportation Review, 128, 356-383.
  • Choi, D. W., Hwang H., Koh, S., 2007. A Generalized Ordering and Recovery Policy for Reusable Items, European Journal of Operational Research, 182, 764–774,
  • Chung K. J., Hou, K. L., 2003. An optimal production run time with imperfect production processes and allowable shortages, Computers and Operations Research, 30, 483-490.
  • De Giovanni, P., 2019. An optimal control model with defective products and goodwill damages, Annals of Operations Research, 1-12,
  • Dobos I., Richter, K., 2003. A Production /Recycling Model With Stationary Demand And Return Rates, Central European Journal of Operations Research, 11, (1) 35-46.
  • Dobos I., Richter, K., 2004. An extended production/recycling model with stationary demand and return rates, International Journal of Production Economics, 90, (3) 311-323.
  • Eroglu A., Ozdemir, G., 2007. An economic order quantity model with defective items and shortages, International Journal of Production Economics, 106, (2), 544-549.
  • Eroğlu, A., Sütçü A., Sulak, H., 2008. An Economic Production Quantity Model with Random Defective Rate In Imperfect Production Processes, Journal of the Faculty of Engıneering and Architecture of Gazi Unıversity, 23, (4) 923-929.
  • Eroğlu, R., 2019 Geri dönüşüm süreci için yeni bir envanter modeli geliştirilmesi Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü İşletme Anabilim Dalı Yüksek Lisans Tezi, Isparta.
  • Fleischmann, M., Bloemhof-Ruwaard, J.M., Dekker, R., Van der Laan, E., Van Nunen, J.A., Van Wassenhove, L.N., 1997. Quantitative models for reverse logistics: A review. European Journal of Operational Research 103, 1–17.
  • Fleischmann, M., Kuik, R., 2003. On optimal inventory control with independent stochastic item returns, European Journal of Operational Research, 151, (1), 25-37.
  • Glock, C. H., & Jaber, M. Y., 2013. An economic production quantity (EPQ) model for a customer-dominated supply chain with defective items, reworking and scrap. International Journal of Services and Operations Management, 14(2), 236-251.
  • Giri, B. C., Sharma, S., 2015. Optimizing a closed-loop supply chain with manufacturing defects and quality dependent return rate, Journal of Manufacturing Systems, 35, 92-111.
  • Giri, B. C., & Sharma, S. 2016. Optimal production policy for a closed-loop hybrid system with uncertain demand and return under supply disruption. Journal of Cleaner Production, 112, 2015-2028.
  • Hayek P. A., Salameh, M. K., 2001. Production Lot Sizing with the Reworking of Imperfect Quality Items Produced, Production Planning and Control, 12, (6) 584-590.
  • Hishamuddin, H., Sarker R. A., Essam, D., 2012. A disruption recovery model for a single stage production-inventory system,. European Journal of Operational Research, 222, (3) 464-473.
  • İnternet-1, (2018), "What is zero-waste?," [Online]. Available: http://zerowaste.gov.tr/en/zero-waste/what-is-zero-waste. [Accessed 27 11 2018].
  • Jaber, M. Y., & El Saadany, A. M. (2009). The production, remanufacture and waste disposal model with lost sales. International Journal of Production Economics, 120(1), 115-124.
  • Khalilpourazari, S., Mirzazadeh, A., Weber, G. W., & Pasandideh, S. H. R., 2020. A robust fuzzy approach for constrained multi-product economic production quantity with imperfect items and rework process. Optimization, 69(1), 63-90.
  • Khara, B., Dey, J. K., & Mondal, S. K., 2020. Sustainable recycling in an imperfect production system with acceptance quality level dependent development cost and demand. Computers & Industrial Engineering, 142, 106300.
  • Kim, C. H., Y,. Hong, Y,. An 1999. Optimal Production Run Length in Deteriorating Production Processes, International Journal of Production Economics, 58, 183-189.
  • Koh, S. G., Hwang, H., Sohn K. I., Ko, C. S., 2002. An optimal ordering and recovery policy for reusable items. , Computers & Industrial Engineering, 43 (1-2,) 59-73.
  • Konstantaras I., Skouri, K., 2010. Lot Sizing for a Single Product Recovery System with Variable Setup Numbers, European Journal of Operational Research, 203, 326-335.
  • Kozlovskaya, N., Pakhomova N., Richter, K., 2015. Complete solution of the extended EOQ repair and waste disposal model with switching costs (No. 376), European University Viadrina , Frankfurt (Oder).
  • Kozlovskaya, N., Pakhomova, N., Richter, K., 2016. A general production and recovery EOQ model with stationary demand and return rates (No. 378). Discussion Paper.," European University Viadrina, Frankfurt (Oder).
  • Lafforgue, G., & Rouge, L. (2019). A dynamic model of recycling with endogenous technological breakthrough. Resource and Energy Economics, 57, 101-118.
  • Marshall, R. S., Vierstra, R. D., 2018 "Autophagy: the master of bulk and selective recycling," Annual Review of Plant Biology, 69, 173-208.
  • Mawandiya, B. K., Jha, J. K., & Thakkar, J. (2017). Production-inventory model for two-echelon closed-loop supply chain with finite manufacturing and remanufacturing rates. International Journal of Systems Science: Operations & Logistics, 4(3), 199-218.
  • Nahmias, S., Riviera, H., A., 1979. Deterministic model for a repairable item inventory system with a finite repair rate, International Journal of Production Research, 17, (3) 215-221.
  • Pishchulov, G., Dobos, I., Gobsch, B., Pakhomova, N., & Richter, K. (2014). A vendor–purchaser economic lot size problem with remanufacturing. Journal of Business Economics, 84(5), 749-791.
  • Rani, S., Ali, R., & Agarwal, A. (2020). Inventory Model for Deteriorating Items in Green Supply Chain with Credit Period Dependent Demand. International Journal of Applied Engineering Research, 15(2), 157-172.
  • Rezaei, J., 2016. Economic order quantity and sampling inspection plans for imperfect items, Computers & Industrial Engineering, 96, 1-7.
  • Richter, K., 1997. Pure and Mixed Strategies for The EOQ Repair and Waste Disposal Problem, OR Spectrum, 19, (2) 123-129.
  • Rosenblatt, M., Lee, H., 1986. Economic production cycles with imperfect production processes, IIE Transactions, . 18, 1, 48-55.
  • Saberi, S. (2018). Sustainable, multiperiod supply chain network model with freight carrier through reduction in pollution stock. Transportation Research Part E: Logistics and Transportation Review, 118, 421-444.
  • Salameh, M. K., Jaber, M. Y., 2000. Economic Production Quantity Model For Itemswith Imperfect Quality, International Journal of Production Economics, 64, 59-64.
  • Sana, S. S., 2010. An Economic Production Lot Size Model in An Imperfect Production System, European Journal of Operational Research, 201, 158-170.
  • Sanjai, M., Periyasamy, S., 2019. An inventory model for imperfect production system with rework and shortages. International Journal of Operational Research, 34(1), 66-84.
  • Schrady, D., 1967. A Deterministic Inventory Model for Repairable Items, Naval Research Logistics, 14, (3), 391-398.
  • Shah, N. H., Patel D. G., Shah, D. B., 2018. EPQ model for returned/reworked inventories during imperfect production process under price-sensitive stock-dependent demand, Operational Research, 18, (2) 343-359.
  • Taleizadeh, A. A., Cardenas-Barron L. E., Mohammadi, B., 2013. A Deterministic Multi Product Single Machine EPQ Model with Backordering, Scraped Products, Rework and Interruption in Manufacturing Process, International Journal of Production Economics, 150, 9-27.
  • Teunter, R., 2003. Lot-sizing for inventory systems with product recovery, Econometric Institute Report, 28, 1-16,
  • Wee, H. M., Wang, W. T., & Yang, P. C. (2013). A production quantity model for imperfect quality items with shortage and screening constraint. International Journal of Production Research, 51(6), 1869-1884.

A NEW INVENTORY MODEL TO RECOVERY PROCESS WITH REWORK

Yıl 2020, Cilt: 8 Sayı: 4, 1086 - 1098, 25.12.2020
https://doi.org/10.21923/jesd.776390

Öz

A new inventory model has been developed for the reworked case that some of the products involved in the re-production process may be defective during the recovery process of the collected products on the recovery process in this paper. The proposed model has a reworked case of recycling inventory and it is supported by a numerical problem. In addition, a full factorial L27 test design was performed with three levels for three factors for a total cost per unit time, change in recycling and reproduction by batch size for marginal buyback rate, utilization rate and recycling good quality product ratio values with the different levels of demand. As a result, the effects of some defect of re-production processes in the recycling process have been shown with the proposed inventory model. In addition, research gaps and opportunities for researchers and industry practitioners for recycling inventory models are shown as further research of the model.

Kaynakça

  • Akçalı, E., & Çetinkaya, S. 2011. Quantitative models for inventory and production planning in closed-loop supply chains. International Journal of Production Research, 49(8), 2373-2407.
  • Chan, W. M., Ibrahim R. N., Lochert, P. B., 2003. A new EPQ model: integrating lower pricing, rework and reject situations, Production Planning and Control, 14 (7), 588-595.
  • Chen, Z., & Bidanda, B. (2019). Sustainable manufacturing production-inventory decision of multiple factories with JIT logistics, component recovery and emission control. Transportation Research Part E: Logistics and Transportation Review, 128, 356-383.
  • Choi, D. W., Hwang H., Koh, S., 2007. A Generalized Ordering and Recovery Policy for Reusable Items, European Journal of Operational Research, 182, 764–774,
  • Chung K. J., Hou, K. L., 2003. An optimal production run time with imperfect production processes and allowable shortages, Computers and Operations Research, 30, 483-490.
  • De Giovanni, P., 2019. An optimal control model with defective products and goodwill damages, Annals of Operations Research, 1-12,
  • Dobos I., Richter, K., 2003. A Production /Recycling Model With Stationary Demand And Return Rates, Central European Journal of Operations Research, 11, (1) 35-46.
  • Dobos I., Richter, K., 2004. An extended production/recycling model with stationary demand and return rates, International Journal of Production Economics, 90, (3) 311-323.
  • Eroglu A., Ozdemir, G., 2007. An economic order quantity model with defective items and shortages, International Journal of Production Economics, 106, (2), 544-549.
  • Eroğlu, A., Sütçü A., Sulak, H., 2008. An Economic Production Quantity Model with Random Defective Rate In Imperfect Production Processes, Journal of the Faculty of Engıneering and Architecture of Gazi Unıversity, 23, (4) 923-929.
  • Eroğlu, R., 2019 Geri dönüşüm süreci için yeni bir envanter modeli geliştirilmesi Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü İşletme Anabilim Dalı Yüksek Lisans Tezi, Isparta.
  • Fleischmann, M., Bloemhof-Ruwaard, J.M., Dekker, R., Van der Laan, E., Van Nunen, J.A., Van Wassenhove, L.N., 1997. Quantitative models for reverse logistics: A review. European Journal of Operational Research 103, 1–17.
  • Fleischmann, M., Kuik, R., 2003. On optimal inventory control with independent stochastic item returns, European Journal of Operational Research, 151, (1), 25-37.
  • Glock, C. H., & Jaber, M. Y., 2013. An economic production quantity (EPQ) model for a customer-dominated supply chain with defective items, reworking and scrap. International Journal of Services and Operations Management, 14(2), 236-251.
  • Giri, B. C., Sharma, S., 2015. Optimizing a closed-loop supply chain with manufacturing defects and quality dependent return rate, Journal of Manufacturing Systems, 35, 92-111.
  • Giri, B. C., & Sharma, S. 2016. Optimal production policy for a closed-loop hybrid system with uncertain demand and return under supply disruption. Journal of Cleaner Production, 112, 2015-2028.
  • Hayek P. A., Salameh, M. K., 2001. Production Lot Sizing with the Reworking of Imperfect Quality Items Produced, Production Planning and Control, 12, (6) 584-590.
  • Hishamuddin, H., Sarker R. A., Essam, D., 2012. A disruption recovery model for a single stage production-inventory system,. European Journal of Operational Research, 222, (3) 464-473.
  • İnternet-1, (2018), "What is zero-waste?," [Online]. Available: http://zerowaste.gov.tr/en/zero-waste/what-is-zero-waste. [Accessed 27 11 2018].
  • Jaber, M. Y., & El Saadany, A. M. (2009). The production, remanufacture and waste disposal model with lost sales. International Journal of Production Economics, 120(1), 115-124.
  • Khalilpourazari, S., Mirzazadeh, A., Weber, G. W., & Pasandideh, S. H. R., 2020. A robust fuzzy approach for constrained multi-product economic production quantity with imperfect items and rework process. Optimization, 69(1), 63-90.
  • Khara, B., Dey, J. K., & Mondal, S. K., 2020. Sustainable recycling in an imperfect production system with acceptance quality level dependent development cost and demand. Computers & Industrial Engineering, 142, 106300.
  • Kim, C. H., Y,. Hong, Y,. An 1999. Optimal Production Run Length in Deteriorating Production Processes, International Journal of Production Economics, 58, 183-189.
  • Koh, S. G., Hwang, H., Sohn K. I., Ko, C. S., 2002. An optimal ordering and recovery policy for reusable items. , Computers & Industrial Engineering, 43 (1-2,) 59-73.
  • Konstantaras I., Skouri, K., 2010. Lot Sizing for a Single Product Recovery System with Variable Setup Numbers, European Journal of Operational Research, 203, 326-335.
  • Kozlovskaya, N., Pakhomova N., Richter, K., 2015. Complete solution of the extended EOQ repair and waste disposal model with switching costs (No. 376), European University Viadrina , Frankfurt (Oder).
  • Kozlovskaya, N., Pakhomova, N., Richter, K., 2016. A general production and recovery EOQ model with stationary demand and return rates (No. 378). Discussion Paper.," European University Viadrina, Frankfurt (Oder).
  • Lafforgue, G., & Rouge, L. (2019). A dynamic model of recycling with endogenous technological breakthrough. Resource and Energy Economics, 57, 101-118.
  • Marshall, R. S., Vierstra, R. D., 2018 "Autophagy: the master of bulk and selective recycling," Annual Review of Plant Biology, 69, 173-208.
  • Mawandiya, B. K., Jha, J. K., & Thakkar, J. (2017). Production-inventory model for two-echelon closed-loop supply chain with finite manufacturing and remanufacturing rates. International Journal of Systems Science: Operations & Logistics, 4(3), 199-218.
  • Nahmias, S., Riviera, H., A., 1979. Deterministic model for a repairable item inventory system with a finite repair rate, International Journal of Production Research, 17, (3) 215-221.
  • Pishchulov, G., Dobos, I., Gobsch, B., Pakhomova, N., & Richter, K. (2014). A vendor–purchaser economic lot size problem with remanufacturing. Journal of Business Economics, 84(5), 749-791.
  • Rani, S., Ali, R., & Agarwal, A. (2020). Inventory Model for Deteriorating Items in Green Supply Chain with Credit Period Dependent Demand. International Journal of Applied Engineering Research, 15(2), 157-172.
  • Rezaei, J., 2016. Economic order quantity and sampling inspection plans for imperfect items, Computers & Industrial Engineering, 96, 1-7.
  • Richter, K., 1997. Pure and Mixed Strategies for The EOQ Repair and Waste Disposal Problem, OR Spectrum, 19, (2) 123-129.
  • Rosenblatt, M., Lee, H., 1986. Economic production cycles with imperfect production processes, IIE Transactions, . 18, 1, 48-55.
  • Saberi, S. (2018). Sustainable, multiperiod supply chain network model with freight carrier through reduction in pollution stock. Transportation Research Part E: Logistics and Transportation Review, 118, 421-444.
  • Salameh, M. K., Jaber, M. Y., 2000. Economic Production Quantity Model For Itemswith Imperfect Quality, International Journal of Production Economics, 64, 59-64.
  • Sana, S. S., 2010. An Economic Production Lot Size Model in An Imperfect Production System, European Journal of Operational Research, 201, 158-170.
  • Sanjai, M., Periyasamy, S., 2019. An inventory model for imperfect production system with rework and shortages. International Journal of Operational Research, 34(1), 66-84.
  • Schrady, D., 1967. A Deterministic Inventory Model for Repairable Items, Naval Research Logistics, 14, (3), 391-398.
  • Shah, N. H., Patel D. G., Shah, D. B., 2018. EPQ model for returned/reworked inventories during imperfect production process under price-sensitive stock-dependent demand, Operational Research, 18, (2) 343-359.
  • Taleizadeh, A. A., Cardenas-Barron L. E., Mohammadi, B., 2013. A Deterministic Multi Product Single Machine EPQ Model with Backordering, Scraped Products, Rework and Interruption in Manufacturing Process, International Journal of Production Economics, 150, 9-27.
  • Teunter, R., 2003. Lot-sizing for inventory systems with product recovery, Econometric Institute Report, 28, 1-16,
  • Wee, H. M., Wang, W. T., & Yang, P. C. (2013). A production quantity model for imperfect quality items with shortage and screening constraint. International Journal of Production Research, 51(6), 1869-1884.
Toplam 45 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Endüstri Mühendisliği
Bölüm Araştırma Makaleleri \ Research Articles
Yazarlar

Ramazan Eroğlu 0000-0001-5262-2707

Erdal Aydemir 0000-0003-4834-725X

Yayımlanma Tarihi 25 Aralık 2020
Gönderilme Tarihi 1 Ağustos 2020
Kabul Tarihi 28 Kasım 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 8 Sayı: 4

Kaynak Göster

APA Eroğlu, R., & Aydemir, E. (2020). TAMİR SÜRECİNİ İÇEREN GERİ DÖNÜŞÜM SÜRECİ İÇİN YENİ BİR ENVANTER MODELİ GELİŞTİRİLMESİ. Mühendislik Bilimleri Ve Tasarım Dergisi, 8(4), 1086-1098. https://doi.org/10.21923/jesd.776390