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    A Sectoral Application for Green Vehicle Routing Problem Optimization with Capacity Constrained and Heterogeneous Fleet
    (Istanbul Univ, 2024) Diskaya, Furkan; Dincer, Sait Erdal
    The vehicle routing problem (VRP), which is a type of traveling salesman problem (TSP), is a combinatorial optimization problem which determines the shortest route distribution from a central warehouse to customer points in certain locations. Today, global climate change resulting from high greenhouse gas emissions and the rapid decrease in natural resources have begun to threaten life as well as the sustainability of our economic structures. For this purpose, businesses have begun to prioritize to the concept of green logistics, which is based on the strategy of environmentally friendly activities in the production of goods and services. In this study, a mathematical model is proposed to solve the green vehicle routing problem with capacity limited and heterogeneous fleet (CHFGVRP), which is a type of vehicle routing problem under the green logistics strategy. Metaheuristic approaches produce successful solutions when solving routing problems with an NP-hard class problem structure. The presented model was developed by Ekol Inc., with the help of the Genetic Algorithm (GA) and Tabu Search (TS) metaheuristic solution approaches. It has been optimized as a real distribution operation for logistics businesses. The main purpose of the present study is assigning vehicles of different capacities of a logistics company to the most suitable loads for two different order sets, to determine the most appropriate customer point route. Thus, as transportation costs decrease thanks to fuel savings, the amount of carbon emissions released into the environment will also decrease. The results of this research will contribute to businesses which seek environmental and economic sustainability, as well as to the developing scientific literature on the subject.
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    Determining the Necessary Criteria for the EU Membership by Using the Machine Learning Method: 2005-2010 Period Analysis
    (Elsevier Science Bv, 2011) Diskaya, Furkan; Emir, Senol; Orhan, Nazife
    In recent years, providing the required criteria put forward for the full membership by the union is one of the prior targets of Turkey in the European Union full membership process. The objective of this study is to be able to evaluate situations of the membership process among European countries, candidate countries and Turkey. In the data set used in the period of 2005-2010, it is seen that the global economic crisis becoming efficient towards the end of 2007 has affected both EU countries and candidate countries economically. This period which included the effect of global crisis was taken as a data set to the study in order to add the effect of global crisis into the evaluation. The study was tried to be analyzed by using artificial neural networks and decision trees algorithms by means of a variety of economic signs. For that purpose, the data between years of 2005-2010 were used in this study. Primarily, the relative importance of independent variables was found by means of multilayered artificial neural networks and then dimension reduction operation was done. The criteria thought as affecting the membership was tried to be found out by using the decision trees method. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility 7th International Strategic Management Conference
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    Measuring the Technical Efficiency of Telecommunication Sector within Global Crisis: Comparison of G8 Countries and Turkey
    (Elsevier Science Bv, 2011) Diskaya, Furkan; Emir, Senol; Orhan, Nazife
    In recent years, there has been a fierce competition in the telecommunication sector. Technologic competition has made the competition in the sector a kind of strategic war. The sector of which role increased in terms of economic developments has entered a reconstruction process at an equal rate in all countries. In fact, countries which apprehend the future of the sector will also determine the future of economy. In this respect the aim of this study is to make performance benchmarking by using Data Envelopment Analysis and Malmquist Total Factor Productivity Index on telecommunication sector which is thought as one of the most important signs of national economies in the global economic crisis environment. This benchmarking, which includes the period of global crisis between the years of 2007-2010, targets to measure to what extent countries have been affected from the global crisis environment by means of performance evaluation among the strongest telecom managements of countries such as Turkey and Group of Eight (G8) countries? In the study, annual activity reports of the managements and a variety of input and output variables acquired from various research institutions were used as a data set. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of 7th International Strategic Management Conference