A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR
Yıl: 2019 Cilt: 11 Sayı: 21 Sayfa Aralığı: 540 - 553 Metin Dili: İngilizce İndeks Tarihi: 02-04-2020
A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR
Öz: Contingencies are unexpected events or crises that cause a major threat for security and safety of a particularpopulation. Since they are unexpected events, the demand to perform contingency operations as well as thesupply that can be provided for this can be modelled through probability distributions. Furthermore, beforecontingencies occur one may want to hold stocks beforehand. Based on interference theory between demand,supply and stocks, one can obtain a reliability of that site, i.e. probability that the site can perform theoperations assigned based on the availability of resources for these operations. This study develops a softwaredesign as a java application, COLONOR, which optimizes the stock allocations, i.e. maximizes the reliability ofcontingency logistics networks with a given budget and total stocks to allocate. It assumes exponential demandsand supplies, and the network structure is such that the sites are arranged either in series or parallel. Thesoftware can employ either genetic algorithm or total enumeration techniques to solve the resulting non-linear,non-separable and non-convex mathematical model and enables the users to specify the problem’s parameterssuch as demand and supply rates, number of sites and network structure as well as the solution approach.
Anahtar Kelime: BEKLENMEDİK DURUMLAR LOJĠSTİK AĞLARINDA STOK DAĞITIMI İÇİN BĠR JAVA UYGULAMASI: COLONOR
Öz: Beklenmedik durumlar belirli bir nüfusun emniyeti ve güvenliği için tehdit oluşturan öngörülmemiş olaylar veya krizlerdir. Bunlar öngörülemediği için beklenmedik durumlar için gerçekleştirilecek operasyonlar için ihtiyaç ve o anda bunlar için sağlanabilecek tedarik olasılık dağılımları ile modellenebilir. Bununla birlikte beklenmedik durum oluşmadan, önceden stoklar tutulmak istenebilir. İhtiyaç, talep ve stok arasındaki etkileşim teorisine göre beklenmedik durumlarda görevli üssün güvenilirliği, yani bu anlarda gerçekleştirilmesi gereken operasyonların gerekli malzemenin mevcudiyetine göre gerçekleştirilebilme olasılığı, hesaplanabilir. Bu çalışma verilen bütçe ve dağıtılacak stok sayısı ile stokların dağıtımını beklenmedik durumlar lojistik ağlarının güvenirliğini ençoklayacak şekilde en iyileyen bir yazılımı java uygulaması olarak, COLONOR, geliştirmektedir. Uygulama üssel ihtiyaç ve tedarik varsaymakta olup, görev üslerinin seri veya paralel şekilde konumlandırıldığını kabul etmektedir. Yazılım neticelenen doğrusal olmayan, ayrılmayan, konveks olmayan matematiksel modeli çözmek için genetik algoritma veya toplam deneme tekniklerini kullanmaktadır ve kullanıcıların talep ve tedarik oranları, operasyonel üs sayısı, ağ yapısı (seri/paralel) ve çözüm tekniği (genetik algoritma/toplam deneme) gibi problem parametrelerini belirtmesine olanak sağlamaktadır.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
- BENYOUCEF, L., XIE, X. and TANONKOU, G.A. (2013). “Supply chain network design with unreliable suppliers: a Lagrangian relaxation-based approach”, International Journal of Production Research, 51(21): 6435-6454.
- DAĞ, E. and MIMAN, M. (2014). “Beklenmedik durumlar lojistiğinin optimizasyonunda ütopya uzaklık metodu” III. Ulusal Lojistik ve Tedarik Zinciri Kongresi, Trabzon, Türkiye, 680-688.
- DAĞ, E. and MIMAN, M. (2015). “Multi-objective optimization of contingency logistics networks with distorted risks”, International Conference on Value Chain Sustainability, Ġstanbul, Turkey, 487-492.
- KANG, Y., BATTA, R. and KWON, C. (2014). “Value-at-risk model for hazardous material transportation”, Annals of Operations Research, 222(1): 361-387.
- KUIKKA, V. and SUOJANEN, M. (2014). “Modelling the impact of technologies and systems on military capabilities”, Journal of Battlefield Technology, 17(2): 9-16.
- LIU, D., GAO, Q., HUANG, Z.X. and LIU, H. (2012). “Reliability of the supply and demand distribution in spare parts inventory network”, In Quality, Reliability, Risk, Maintenance, and Safety Engineering International Conference (ICQR2MSE), 1415-1417.
- LIU, Y., HUANG, H.Z. and ZUO, M.J. (2009). “Optimal selective maintenance for multi-state systems under imperfect maintenance”, In Reliability and Maintainability Symposium, Annual, IEEE, 321-326.
- MIMAN, M. (2008). Modeling and analysis of the reliability of contingency logistic networks: A multi-dimensional knapsack approach, Phd.Thesis, University of Arkansas.
- MIMAN, M. and POHL, E. (2008). “Modelling and analysis of risk and reliability for a contingency logistics supply chain”, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 222(4): 477-494.
- MIMAN, M. and POHL, E. (2012). “Multi-objective optimisation of a contingency logistics network through physical programming”, International Journal of Collaborative Enterprise, 3(1): 1-17.
- NAIKAN, V.N., DATAR, A. and SARMAH, S. P. (2015). “A demand–supply interference technique for modeling spare parts inventory policy”, International Journal of Management Science and Engineering Management, 10(3): 191-198.
- OFFUT, E.J., KHAROUFEH, J.P. and Deckro, R.F. (2006) “Distorted risk measures with application to military capability shortfalls”, Military Operation Research, 11(4): 25-39.
- POHL, E.A., CASSADY, C. R. and KWINN, M. (2003). “A selective maintenance model for serial manufacturing systems involving multiple maintenance actions”, In Proceedings of the 17th International Conference on Production Research, Blacksburg.
- RAJAGOPALAN, R. and CASSADY, C.R. (2006). “An improved selective maintenance solution approach”, Journal of Quality in Maintenance Engineering, 12(2): 172-185.
- THOMAS, M.U. (2002). “Supply chain reliability for contingency operations”, In Reliability and Maintainability Symposium, Proceedings, Annual, IEEE, 61-67.
- THOMAS, M.U. (2004). “Assessing the reliability of a contingency logistics network”, Military Operations Research, 9(1): 33-41.
- TUBIS, A., NOWAKOWSKI, T. and WERBIŃSKA-WOJCIECHOWSKA, S. (2017). “Supply chain vulnerability and resilience–case study of footwear retail distribution network”, Logistics and Transport, 33(1): 15-24.
- WANG, Q., YUAN, X., ZUO, J., ZHANG, J., HONG, J. and LIN, C. (2016). “Optimization of ecological industrial chain design based on reliability theory–a case study”, Journal of Cleaner Production, 124: 175-182.
- XIONG, B., LI, B., FAN, R., ZHOU, Q. and LI, W. (2017). “Modeling and simulation for effectiveness evaluation of dynamic discrete military supply chain networks”, Complexity. ZHANG, H., WANG, M., TANG, M. and YANG, H. (2018). “The reliability measures model of multilayer urban distribution network”, Soft Computing, 22(1): 107-118.
- ZHANG, H., ZHU, L. and XU, S. (2016). “Modeling the city distribution system reliability with bayesian networks to ıdentify ınfluence factors”, Scientific Programming, 16.
- ZHOU, Q., XIONG, B., Li, B., HUANG, J. and LU, S. (2016). “Analysing the resilience of military supply network and simulation against disruptions”, International Journal of Engineering Systems Modelling and Simulation, 8(3): 195-204.
| APA | Miman M, TUNA H, DESTE M, Sariisik G (2019). A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. , 540 - 553. |
| Chicago | Miman Mehmet,TUNA Hüseyin Alper,DESTE MUSTAFA,Sariisik Gencay A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. (2019): 540 - 553. |
| MLA | Miman Mehmet,TUNA Hüseyin Alper,DESTE MUSTAFA,Sariisik Gencay A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. , 2019, ss.540 - 553. |
| AMA | Miman M,TUNA H,DESTE M,Sariisik G A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. . 2019; 540 - 553. |
| Vancouver | Miman M,TUNA H,DESTE M,Sariisik G A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. . 2019; 540 - 553. |
| IEEE | Miman M,TUNA H,DESTE M,Sariisik G "A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR." , ss.540 - 553, 2019. |
| ISNAD | Miman, Mehmet vd. "A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR". (2019), 540-553. |
| APA | Miman M, TUNA H, DESTE M, Sariisik G (2019). A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. Akademik Araştırmalar ve Çalışmalar Dergisi, 11(21), 540 - 553. |
| Chicago | Miman Mehmet,TUNA Hüseyin Alper,DESTE MUSTAFA,Sariisik Gencay A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. Akademik Araştırmalar ve Çalışmalar Dergisi 11, no.21 (2019): 540 - 553. |
| MLA | Miman Mehmet,TUNA Hüseyin Alper,DESTE MUSTAFA,Sariisik Gencay A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. Akademik Araştırmalar ve Çalışmalar Dergisi, vol.11, no.21, 2019, ss.540 - 553. |
| AMA | Miman M,TUNA H,DESTE M,Sariisik G A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. Akademik Araştırmalar ve Çalışmalar Dergisi. 2019; 11(21): 540 - 553. |
| Vancouver | Miman M,TUNA H,DESTE M,Sariisik G A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR. Akademik Araştırmalar ve Çalışmalar Dergisi. 2019; 11(21): 540 - 553. |
| IEEE | Miman M,TUNA H,DESTE M,Sariisik G "A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR." Akademik Araştırmalar ve Çalışmalar Dergisi, 11, ss.540 - 553, 2019. |
| ISNAD | Miman, Mehmet vd. "A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR". Akademik Araştırmalar ve Çalışmalar Dergisi 11/21 (2019), 540-553. |
