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Öğe A Risk-Based Location-Allocation Approach for Weapon Logistics(Mdpi, 2018) Cetinkaya, Cihan; Haffar, SamerGovernments have vital missions, such as securing their nation from many internal or external risks/threats. Thus, they prepare themselves against different scenarios. The most common scenario for all countries is facing attacks from other countries. However, training for these scenarios is not possible because military exercises are too expensive. The contribution of this paper is a scientific approach proposed for such a scenario. A mathematical model is developed to allocate different weapon types to a set of candidate locations (demand nodes, the military installations that need weapons) while minimizing total transportation costs, setup costs, and allocation risk. The risk arises from allocating the weapons to other military units as backups during a conflict. The risk increases when one military unit allocates their weapons to another unit during attacks. The mathematical model is tested on a case study problem of Turkish Land Forces. This case study is solved in 14 min, and the optimal total transportation and setup costs are determined. Since it is very important to make quick decisions during an attack, this scientific approach and computational time can be useful for military decision makers. Additionally, the results of this study can guarantee that any attack can be handled with the minimum cost and risk.Öğe An eco-friendly evaluation for locating wheat processing plants: an integrated approach based on interval type-2 fuzzy AHP and COPRAS(Springer, 2022) Cetinkaya, Cihan; Ozkan, Baris; Ozceylan, Eren; Haffar, SamerSite selection for organizations is a complex and unstructured problem that must be analyzed carefully and properly since a localization error could drive to bankruptcy. This problem has been discussed widely and effectively using multi-criteria decision-making methods in a manufacturing context, but it has been little studied in the agricultural industry. The aim of this study is to proposing a methodological approach to evaluate the fifty states in the United States (US) in terms of wheat processing plant locations. To do so, a literature review is searched to determine the ten sub-criteria under financial, environmental, and spatial dimensions. To overcome the uncertainty of experts' judgment in criteria prioritization, interval type-2 fuzzy (IT2F)-analytic hierarchy process is used. The method of complex proportional assessment of alternatives is used to obtain the final rank of states. The results and verification of the methodology are carried out throughout a sensitivity analysis of the weights. The results of sensitivity analysis indicated that when financial aspects are focused upon, California is the best alternative, followed by Texas and Oklahoma. In addition, from the environmental and spatial perspectives, Vermont and California are the best choices, respectively. The findings of this study can provide useful information to wheat plant decision-makers and serve as a reference for US policy.