Tuncay Gürbüz

A hybrid MCDM methodology for ERP selection problem with interacting criteria

An enterprise resource planning (ERP) system is an information system to plan and integrate all of an enterprises subsystems including purchase, production, sales and finance. Adopting such a comprehensive framework may result in the great savings in both costs and man hours. This research explores the application of a hybrid multicriteria decision making (MCDM) procedure for the evaluation of various ERP alternatives. The proposed evaluation framework integrates three methodologies: Analytic Network Process (ANP), Choquet integral (CI) and Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH). ANP produces the priorities of alternatives with respect to the interdependent evaluation criteria. The conjunctive or disjunctive behaviors between criteria are determined using MACBETH and CI. Numerical application of the proposed methodology is implemented on the decision making problem of a firm that faces with four ERP projects. The final ranking is compared to the one obtained by ignoring the interactions among criteria. The results demonstrate that the ignorance of the interactions may lead to erroneous decisions.

An engineering approach to human resources performance evaluation: Hybrid MCDM application with interactions

Abstract Human performance evaluation is one of the most important fields to analyze for the continuity of an organization. Evaluation files filled by the managers generally end up in dusty folders where no one looks. This decreases the credibility of the evaluators and the process itself. Whereas the management thinks that they are taking the valuable time from the people who can do better things instead of these evaluations. In this paper, we add an engineering point of view to this process by giving a Hybrid Multicriteria Decision Making (MCDM) approach to evaluate employees’ performances working for a same task and explain an efficient way of handling the qualitative and quantitative data simultaneously. The real life situations where performance criteria show interaction will be possible to solve and the different types of interactions will be handled with the proposed hybrid method using Analytical Network Process (ANP) and Choquet Integral (CI) simultaneously. We also give a numerical illustration at the end of the study with the appropriate concluding remarks including the advantages of the proposed method.

Criteria Weighting and 4P's Planning in Marketing Using a Fuzzy Metric Distance and AHP Hybrid Method

AbstractProduction and consumption relationship shows that marketing plays an important role in enterprises. In the competitive market, it is very important to be able to sell rather than produce. Nowadays, marketing is customer- oriented and aims to meet the needs and expectations of customers to increase their satisfaction. While creating a marketing strategy, an enterprise must consider many factors. Which is why, the process can and should be considered as a multi-criteria decision making (MCDM) case. In this study, marketing strategies and marketing decisions in the new-product-development process has been analyzed in a macro level. To deal quantitatively with imprecision or uncertainty, fuzzy sets theory has been used throughout the analysis.

An Analytic Network Process approach to the planning and managing of the energy politics

The obtainment of electricity in a cheap, reliable and stable way on time with good quality is of high priority for the management of countries. In order to do so, in our country where the need to electrical energy is rapidly increasing, the planning of production and development of electrical energy and its execution is very important from the economical point of view. However, the analysis of the final consumption of the country, the determination of all the factors affecting the final demand, is a multi-criteria decision making (MCDM) problem which requires taking several different factors in account. In this study, the determination of the scenarios of the socio-economic and technique development and the problem of evaluating the values calculated for these scenarios will be solved with Analytic Network Process (ANP)s software SuperDecisions which will provide more accurate results by taking the relations between the evaluation factors into account. The results will be evaluated and their conformity to this process will be researched.

Construction of Intuitionistic Fuzzy Cognitive Maps for Target Marketing Strategy Decisions

Shopping malls today, are the centers of social life. There exists an increasing demand of shopping malls. The market’s profit margin is promising however from the investor’s perspective, shopping malls require big investments and the risk level is high. For the success of a shopping mall, its target market needs to be chosen carefully in the beginning and its marketing mix needs to be in the same direction. There exist many factors influencing the target market strategy selection of a shopping mall; this process can be observed as an MCDM problem. The purpose of this study is to determine the interrelations between the criteria affecting a shopping mall’s target market differentiation degree, to select a target marketing strategy while considering the hesitations of decision makers and to represent this complex decision making system with intuitionistic fuzzy cognitive maps. Numerical application is made for investment decision making process of a new shopping mall that will locate in Istanbul, Turkey.

A Social Choice Function approach for multi-criteria group decision making process

This study will discuss the differences that will be encountered while using Social Choice Function approach for AHP/ANP group decision making procedure instead of well known geometric mean method. The number of differences encountered will be collected and used to estimate the probability and retrieve the confidence intervals for different social function used. The results will be analyzed and commented on.