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YEDEK PARÇA STOK YÖNETİM SİSTEMİ İÇİN LOJİSTİK AĞ OLUŞTURMAK

Yıl 2025, Cilt: 8 Sayı: 1, 1 - 31, 30.06.2025
https://doi.org/10.58853/dumad.1627624

Öz

Bu makale, belirli uçakların yedek parçaları için lojistik ağ tasarımıyla ilgilidir.
Bu makalede, 10 adet hava aracının faaliyet gösterdiği üslere %85 hazır bulunuşluluk performansıyla yedek parça sağlamak için kurulan bir lojistik ağ söz konusudur. Bu yedek parçaların hazır bulunuşluluğu, uçakların çalışması için kritik öneme sahiptir. Bu lojistik destek konsepti, geleneksel envanter ve tedarik zinciri işlevlerini, garantili bir yedek parça hazır bulunuşluluk performansına dönüştürmektedir.
Bu uçaklar, X, Y ve Z olmak üzere üç farklı üsse konuşlandırılır. Y ve X'te dört uçak ve Z'de iki uçak olacaktır. Çözüm yaklaşımı için 5 alternatif lojistik ağı belirtilmiştir. Bu tedarik ağı alternatiflerinden dördü tek kademeli ve biri iki kademeli tedarik ağıdır. Daha sonra, bu alternatif lojistik ağları envanter tutma, depo konumu, nakliye ve genel gider maliyetleri dahil olmak üzere maliyetlerine göre karşılaştırılır.

Kaynakça

  • Costantino, F., Gravio, G. and Tronci, M. (2018). Multi echelon, multi-indenture spare parts inventory control subject to system availability and budget constraints, Reliability Engineering & System Safety, Volume 119, 95-101.
  • Fukuda, J. (2008). Reliability, Excel, Kettelle’s Algorithm, and Inventory of Repairable Spare Parts, February.
  • Graves, S.C. (1996). A Multi-Echelon Inventory Model with Fixed Replenishment Intervals, Management Science, Vol.42, No.1, 1-18.
  • Graves, S.C., (1985). A multi-echelon inventory model for a repairable item with one-for-one replenishment. Manage. Sci.,Volume:31, 1247-1256.
  • Hadley, G. and Whitin, T. M. (1961). A Model for Procurement, Allocation, and Redistribution for Low Demand Items, Naval Res. Log. Quart. 8, 395-414.
  • Lei, S., Juan, X. and Hongfu, Z. (2014). A Multi-item, multi-echelon inventory allocation model for aircrafy spare parts based on vari-metric, Information technology Journal, Volume:13, 2218-2223.
  • Moinzadeh, K. And Lee, H.L. (1986). Batch Size and Stocking Levels in Multi- Echelon Repairable Systems, Management Science, Vol. 32, No. 12, 1567-1581.
  • Muckstadt, J. A. and Thomas L. J. (1980). Are Multi-Echelon Inventory Methods Worth Implementing in Systems with Low-Demand Rates?, Management Sci., 26, 5, 483-494.
  • Özpamukçu, Serkan. (2011). An Assessment Of A Two-Echelon Inventory System Agaınst Alternative Systems, December.
  • Sherbrooke, C.C. (1968). METRIC: A Multi-Echelon Technique for Recoverable Item Control, Operations Research, Vol. 16, 122-141.
  • Sherbrooke, C.C., (1968). Metric: A multi-echelon technique for recoverable item control. Operat. Res., Volume:16, 122-141.
  • Sherbrooke, C.C., (1986). Vari-metric: Improved approximations for multi-indenture, multi-echelon availability models. Operat. Res., Volume: 34, 311-319.
  • Slay, F.M., (1984). Vary-metric: An approachto modeling multi-echelon resupply when the demand process is poisson with gamma prior. Report AF301-3, Logistic Management Institute, Washington, DC.
  • Smith, S.A. (1977), Optimal inventories for an (S-1,S) system with no backorders, Management Science 23, 522-528.
  • Van Harten, A. and A. Sleptchenko, (2003). On Markovian multi-class, multi-server queueing. Queue. Syst.,Volume:43, 307-328.
  • Wong, H., D. Cattrysse and D. van Oudheusden, (2002). An approximation method for the problem of pooling in a repairable-item inventory system. Proceedings of the 16th ORBEL Conference on Quantitative Methods in Decision Making, (QMD'02), Brussels, Belgium, 75-76.
  • Yanagi, S., K. Hasegawa and T. Yuge, (1997). An approximation to the steady state probabilities of a multi-echelon repair model for a series system. Comput. Ind. Eng., Volume: 33, 745-748.

A LOGISTICS NETWORK DESIGN PROBLEM FOR A SPARE PART SYSTEM

Yıl 2025, Cilt: 8 Sayı: 1, 1 - 31, 30.06.2025
https://doi.org/10.58853/dumad.1627624

Öz

This paper is about logistics network design for spare parts of certain aircrafts.
In this paper, the problem is to setup a logistics network for spare parts of ten aircrafts in order to provide spare parts with 85 % availability performance to the bases air vehicle operates. Availability of these spare parts have critical importance for aircrafts to operate properly. This logistics support concept transfers traditional inventory and supply chain functions for a guaranteed level of spare part availability performance.
These aircrafts deploy on three different bases, X, Y and Z. There will be four aircrafts in Y and X and two aircrafts in Z. For solution approach, five alternative logistics networks are stated. Four of these supply network alternatives is single echelon and one of them is two-echelon setting. Then, these alternative logistics networks are compared according to their costs including inventory holding, warehouse location, transportation and overhead costs.

Kaynakça

  • Costantino, F., Gravio, G. and Tronci, M. (2018). Multi echelon, multi-indenture spare parts inventory control subject to system availability and budget constraints, Reliability Engineering & System Safety, Volume 119, 95-101.
  • Fukuda, J. (2008). Reliability, Excel, Kettelle’s Algorithm, and Inventory of Repairable Spare Parts, February.
  • Graves, S.C. (1996). A Multi-Echelon Inventory Model with Fixed Replenishment Intervals, Management Science, Vol.42, No.1, 1-18.
  • Graves, S.C., (1985). A multi-echelon inventory model for a repairable item with one-for-one replenishment. Manage. Sci.,Volume:31, 1247-1256.
  • Hadley, G. and Whitin, T. M. (1961). A Model for Procurement, Allocation, and Redistribution for Low Demand Items, Naval Res. Log. Quart. 8, 395-414.
  • Lei, S., Juan, X. and Hongfu, Z. (2014). A Multi-item, multi-echelon inventory allocation model for aircrafy spare parts based on vari-metric, Information technology Journal, Volume:13, 2218-2223.
  • Moinzadeh, K. And Lee, H.L. (1986). Batch Size and Stocking Levels in Multi- Echelon Repairable Systems, Management Science, Vol. 32, No. 12, 1567-1581.
  • Muckstadt, J. A. and Thomas L. J. (1980). Are Multi-Echelon Inventory Methods Worth Implementing in Systems with Low-Demand Rates?, Management Sci., 26, 5, 483-494.
  • Özpamukçu, Serkan. (2011). An Assessment Of A Two-Echelon Inventory System Agaınst Alternative Systems, December.
  • Sherbrooke, C.C. (1968). METRIC: A Multi-Echelon Technique for Recoverable Item Control, Operations Research, Vol. 16, 122-141.
  • Sherbrooke, C.C., (1968). Metric: A multi-echelon technique for recoverable item control. Operat. Res., Volume:16, 122-141.
  • Sherbrooke, C.C., (1986). Vari-metric: Improved approximations for multi-indenture, multi-echelon availability models. Operat. Res., Volume: 34, 311-319.
  • Slay, F.M., (1984). Vary-metric: An approachto modeling multi-echelon resupply when the demand process is poisson with gamma prior. Report AF301-3, Logistic Management Institute, Washington, DC.
  • Smith, S.A. (1977), Optimal inventories for an (S-1,S) system with no backorders, Management Science 23, 522-528.
  • Van Harten, A. and A. Sleptchenko, (2003). On Markovian multi-class, multi-server queueing. Queue. Syst.,Volume:43, 307-328.
  • Wong, H., D. Cattrysse and D. van Oudheusden, (2002). An approximation method for the problem of pooling in a repairable-item inventory system. Proceedings of the 16th ORBEL Conference on Quantitative Methods in Decision Making, (QMD'02), Brussels, Belgium, 75-76.
  • Yanagi, S., K. Hasegawa and T. Yuge, (1997). An approximation to the steady state probabilities of a multi-echelon repair model for a series system. Comput. Ind. Eng., Volume: 33, 745-748.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Kimya Mühendisliği (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Ayşe Selin Ayata 0009-0002-2801-6269

Gönderilme Tarihi 27 Ocak 2025
Kabul Tarihi 29 Haziran 2025
Yayımlanma Tarihi 30 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 1

Kaynak Göster

APA Ayata, A. S. (2025). A LOGISTICS NETWORK DESIGN PROBLEM FOR A SPARE PART SYSTEM. Dünya Multidisipliner Araştırmalar Dergisi, 8(1), 1-31. https://doi.org/10.58853/dumad.1627624


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