Person: YILMAZ SOYDAN, NACİYE TUBA
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YILMAZ SOYDAN
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NACİYE TUBA
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Publication Metadata only Simulation-based optimisation approach to multi-choice transportation problem(2022-01-01) YILMAZ SOYDAN, NACİYE TUBA; ÇİLİNGİRTÜRK, AHMET METE; YILMAZ SOYDAN N. T. , ÇİLİNGİRTÜRK A. M.Copyright © 2022 Inderscience Enterprises Ltd.The classical transportation problem minimises the total costs of transportation of a unique product from various supply points (or warehouses) to demand points. The problem assumes that freight costs from source to destination are constant and that the supply and demand quantities are equal and strictly known, so the market for the product is well-balanced. It thus involves a special type of linear integer programming, which becomes stochastic since the constraints or parameters are random variables from a known or unknown distribution. Several studies have formulated well-known deterministic models under probabilistic restrictions. The transformed models mostly keep the confidence level at a given minimum constant or else minimise the error level. Also, there is a multi-choice stochastic transportation problem, which introduces several unit costs. In this study, we try to simulate Roy\"s (2014) multi-choice stochastic transport model with random supply and demand quantities from a given Weibull distribution and compare the results of distribution and total costs. As a result of the simulation, total cost value was estimated lower than the result of the problem.Publication Open Access Simulation for appropriate mean selection for cans approximation method in transportation models(2023-03-01) YILMAZ SOYDAN, NACİYE TUBA; ÇİLİNGİRTÜRK, AHMET METE; CAN, TUNCAY; YILMAZ N. T., ÇİLİNGİRTÜRK A. M., CAN T.Classical transportation models aim to minimize the total costs of homogeneous goods transport from supply points to demand points, taking into account unit transportation costs. They constitute a special case of network models and employ a technique based on linear programming. Suggested in 2015 and one of the early distribution methods, Tuncay Can’s Approximation Method (TCAM) is based on the geometric averages of unit transportation costs, although it is stated in the theorem that other means than geometric can be used. The aim of this study is to compare the total costs of a transportation model by solving a problem using geometric, arithmetic, square, and harmonic means based on TCAM. The coefficients of the transportation model were obtained randomly by simulation, and the method was repeated on the problem according to the different means and the appropriate means determined.