TY  - JOUR
T1  - A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR
TT  - A JAVA APPLICATION FOR OPTIMIZATION OF STOCK ALLOCATION IN CONTINGENCY LOGISTICS NETWORKS: COLONOR
AU  - Deste, Mustafa
AU  - Miman, Mehmet
AU  - Tuna, Hüseyin Alper
AU  - Sarıışık, Gencay
PY  - 2019
DA  - November
DO  - 10.20990/kilisiibfakademik.532274
JF  - Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD)
PB  - Kilis 7 Aralık Üniversitesi
WT  - DergiPark
SN  - 2149-1585
SP  - 540
EP  - 553
VL  - 11
IS  - 21
LA  - en
AB  - Contingencies areunexpected events or crises that cause a major threat for security and safetyof a particular population. Since they are unexpected events, the demand toperform contingency operations as well as the supply that can be provided forthis can be modelled through probability distributions. Furthermore, beforecontingencies occur one may want to hold stocks beforehand. Based oninterference theory between demand, supply and stocks, one can obtain areliability of that site, i.e. probability that the site can perform theoperations assigned based on the availability of resources for theseoperations. This study develops a software design as a java application,COLONOR, which optimizes the stock allocations, i.e. maximizes the reliabilityof contingency logistics networks with a given budget and total stocks toallocate. It assumes exponential demands and supplies, and the networkstructure is such that the sites are arranged either in series or parallel. Thesoftware can employ either genetic algorithm or total enumeration techniques tosolve the resulting non-linear, non-separable and non-convex mathematical modeland enables the users to specify the problem’s parameters such as demand andsupply rates, number of sites and network structure as well as the solutionapproach.
KW  - Contingency Logistics Networks
KW  - Stock Allocation
KW  - Genetic Algorithm
KW  - Contingency Logistics Networks Optimizer
N2  - Beklenmedik durumlar belirli bir nüfusun emniyeti vegüvenliği için tehdit oluşturan öngörülmemiş olaylar veya krizlerdir. Bunlaröngörülemediği için beklenmedik durumlar için gerçekleştirilecek operasyonlariçin ihtiyaç ve o anda bunlar için sağlanabilecek tedarik olasılık dağılımlarıile modellenebilir. Bununla birlikte beklenmedik durum oluşmadan, öncedenstoklar tutulmak istenebilir. İhtiyaç, talep ve stok arasındaki etkileşimteorisine göre beklenmedik durumlarda görevli üssün güvenilirliği, yani buanlarda gerçekleştirilmesi gereken operasyonların gerekli malzemeninmevcudiyetine göre gerçekleştirilebilme olasılığı, hesaplanabilir. Bu çalışmaverilen bütçe ve dağıtılacak stok sayısı ile stokların dağıtımını beklenmedikdurumlar lojistik ağlarının güvenirliğini ençoklayacak şekilde en iyileyen biryazılımı java uygulaması olarak, COLONOR, geliştirmektedir. Uygulama üssel ihtiyaç ve tedarikvarsaymakta olup, görev üslerinin seri veya paralel şekilde konumlandırıldığınıkabul etmektedir. Yazılım neticelenen doğrusal olmayan, ayrılmayan, konveksolmayan matematiksel modeli çözmek için genetik algoritma veya toplam denemetekniklerini kullanmaktadır ve kullanıcıların talep ve tedarik oranları,operasyonel üs sayısı, ağ yapısı (seri/paralel) ve çözüm tekniği (genetikalgoritma/toplam deneme) gibi problem parametrelerini belirtmesine olanaksağlamaktadır.
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UR  - https://doi.org/10.20990/kilisiibfakademik.532274
L1  - https://dergipark.org.tr/tr/download/article-file/861740
ER  -