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Copyright of Journal of Quantitative Research in Social Sciences is the property of Journal of Quantitative Research in Social Sciences / Sosyal Bilimlerde Nicel Arastirmalar Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Çankırı Karatekin University Journal of the Faculty of Economics & Administrative Sciences is the property of Cankiri Karatekin University, Faculty of Economics & Administrative Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Product Lifecyle Management (PLM) is quite difficult without the help of a software given the increasing speed of data generation in recent conditions. It is very important to choose the software that best suits business dynamics and the nature of the product in order to maximize the benefit to be obtained from PLM software. At this point, it is necessary to determine the right criteria for the right software selection and to be evaluated by considering the importance levels. In this study, Analytic Network Process (ANP) method, which is one of the Multi Criteria Decision Making techniques, was used to solve the problem of sorting the criteria used in the selection of Product Life Cycle Management (PLM) software. The Super Decision program was used to rank the twenty-one criteria that emerged as a result of literature review and expert opinion. [ABSTRACT FROM AUTHOR]

Businesses use resources such as labor, machinery, and transportation systems in the production process to carry out their activities. Various machines such as turning, milling and machining centers are used in the production sector. For businesses in the machining sector, the most critical machine group is machining centers. Machining center selection is a long term and strategic decision that requires a high amount of capital investments for manufacturing enterprises. In this study, selecting a machining center planned to be purchased for manufacturing enterprises is examined. The effective criteria for selecting the machining center are determined by the literature review and the interview with experts in this field. Alternatives has been determined by experts from the manufacturing enterprise's procurement unit where the application was made. The number of alternatives was reduced to three by making scoring among the determined alternatives. In this study has been determined five main criteria and eleven sub-criteria. Analytic Network Process (ANP) was used to find the weight of criteria. Two different methods were used to sort and select alternatives, namely PROMETHEE and VIKOR methods. [ABSTRACT FROM AUTHOR]

Copyright of SDU Journal of Engineering Sciences & Design / Mühendislik Bilimleri ve Tasarım Dergisi is the property of Journal of Engineering Sciences & Design and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nowadays, the increasing competition is forcing companies to make more consistent and accurate decisions about supplier selection. When the paper production sector is discussed, cellulose which is the main raw material for paper production is obtained from various suppliers. In addition, the supplier selection decision has a complex structure that includes many qualitative and quantitative criteria and a large number of decision makers. By the way, there are feedback and mutual interactions within the problem. For these reasons, Analytical Network Process method has been preferred as a solution method in this study. Using the relevant method, four different alternative suppliers have been evaluated in terms of the four most commonly used criteria (quality, price, delivery and service) in the literature and the sub-criteria of these criteria and the best alternative has been chosen. [ABSTRACT FROM AUTHOR]

Copyright of Ege Üniversitesi Ziraat Fakültesi Dergisi is the property of Ege Universitesi, Ziraat Fakultesi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapid development of technology, the digitalization of all working structures and processes of institutions has become inevitable. In order to ensure digitalization in institutions, it is necessary to keep pace with change and transformation. Supply chains should be evaluated and reconstructed when necessary, taking into account constantly changing factors such as the performance of the current structure, possible risks, market shares, and competition conditions. Members in the supply chain must exchange information simultaneously and accurately. Otherwise, some problems such as idle capacity, transportation costs, excess stock, and customer dissatisfaction are encountered. In order to avoid such problems, real-time monitoring and effective management of processes in the supply chain are made possible by the industry 4.0-based sustainable supply chain. With the Industry 4.0 approach, the process is accelerated without supply chain management being complicated. The whole process is negatively affected if the needs of digitalization are not determined correctly or if we do not work with the right solution partners. A structure in which both strategic and operational needs and practices are discussed in a comprehensive manner, in which all aspects of the Industry 4.0 approach are addressed are required. For this purpose, analytic network process method was used to evaluate the difficulties in transition to industry 4.0 technology in sustainable supply chain management. The analytic network process is a method that takes into account the relationships and bonds between the factors and provides feedback. With this method, in order to ensure supply chain sustainability, the difficulties encountered in digitalization were analyzed and criteria weights were determined. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Textiles & Engineers / Tekstil ve Mühendis is the property of Union of Chambers of Turkish Engineers & Architects, Chamber of Textile Engineers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Search and rescue (SAR) at sea is one of the most common and extraordinarily important missions for the coast guard. The coast guard must have the capability of assigning a vessel immediately for reported vessel or people in distress at sea. Coast guard surface vessel design inherently involves engineering trade-offs and there is not a single vessel design type, which is ideal for SAR mission. The significant increase in the number of immigrants crossing the Aegean Sea in recent years has revealed the fact that the Turkish Coast Guard assets should be assigned by utilizing scientific methods so as to provide maximum benefit. The purpose of this study is to propose a model based on Analytic Network Process (ANP) and Benefits, Opportunities, Costs and Risks (BOCR) to determine the SAR status and priorities of coast guard surface vessels in Turkish Coast Guard command. This integrated approach allows us to find dimensionless measurements called as weights or priorities of the surface vessel types according to SAR task. This study is the first application in the literature that provides basic input using the ANP and BOCR approach for decision making problems for SAR missions. Consequently, KAAN 29/33, SAR 33/35 and 80 class of boats have found to be more suitable for SAR task. [ABSTRACT FROM AUTHOR]

İşletmeler yaptıkları tüm faaliyetlerde belirli kararlar vermek durumundadırlar ve kararların çoğu, işletmenin rekabetçi konumunu etkileyebilecek stratejik kararlardır. Bu kararların en önemlilerinden biri de, işletmelerin birlikte çalışacakları tedarikçileri belirlemektir. Çünkü tedarikçi seçimi kalite, maliyet, müşteri memnuniyeti gibi faktörleri etkileyerek işletmenin uzun vadedeki başarısında rol oynayan önemli bir karardır. Bu nedenle, tedarikçi seçim kararının objektif bir yaklaşımla verilmesi büyük önem arz etmektedir. Bu çalışmada, makine sektöründe faaliyet gösteren bir işletme için tedarikçi seçim problemi ele alınmıştır. Doğru tedarikçi seçimi için birçok nitel ve nicel kriterin birlikte dikkate alınması gerektiğinden, tedarikçi seçimi için çok kriterli karar verme tekniklerinden Analitik Ağ Süreci (ANP) ve ELECTRE yöntemleri bütünleşik bir şekilde uygulanmıştır. ANP yöntemi ile probleme ilişkin tüm kriterler ağırlıklandırılmış ve ELECTRE yöntemi ile de 12 tane tedarikçi değerlendirilmiştir.

With the Industry 4.0, work is being done to increase productivity in production. Industry 4.0 is an industrial revolution, a new level in the organization and management of the entire value chain in the life cycle of products and production systems. With Digital Transformation and Industry 4.0 will make it efficient and productive the Internet of objects and the connection of people with each other. Thanks to this structure, dynamic, real-time systems will be optimized, and self-organizing networks will be created. Innovations that Industry 4.0 will bring to the world of technology and social life will improve day by day. In the study, it was determined by multi-criteria decision-making methods that a company seeking to move to Industry 4.0 should select Industry 4.0 strategies. Alternatives and criteria for the selection of the industry 4.0 strategy have been identified. It is aimed to solve the problem by applying multi-criteria decision-making methods. Companies now see Industry 4.0 as a vehicle to pass autonomous systems. Research has been conducted for Industry 4.0. Then, the most appropriate strategy selection was made by using AAS and TOPSIS methods of multi-criteria decision-making methods. [ABSTRACT FROM AUTHOR]

Copyright of METU Journal of the Faculty of Architecture / Mimarlık Fakültesi Dergisi is the property of METU Journal of the Faculty of Architecture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Optimum: Journal of Economics & Management Sciences / Ekonomi ve Yönetim Bilimleri Dergisi is the property of Optimum: Journal of Economics & Management Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The insurance sector, which ensures the protection of the individuals and institutions from the risks at all times in their lives and overcomes that risks with the least amount of financial damage, is now developing rapidly both in Turkey and worldwide. In particular, hundreds of new cars are sold every day in Turkey. The motor insurance policy market, which is an insurance type that meets the losses of the vehicle belonging to the insured person, is rapidly growing and the number of competitive companies and their interest to this market share are also increasing. In this study, a hierarchical model is proposed with 5 criteria and 22 sub criteria for the motor insurance policy selection problem, which is a branch of the Turkish insurance industry and with based on this model, 5 different insurance companies producing insurance policies were evaluated. On the basis of model-based evaluation, the insurance company that produces the most appropriate insurance policies was firstly determined by the analytical hierarchy process, then by the analytic network process, and finally by VIKOR method, and the results of these evaluations which are on the basis of fuzzy logic made with triangular numbers were compared. [ABSTRACT FROM AUTHOR]

The type of variables (qualitative or quantitative) directly affect the construction of the model. Gaining the quantitative data for decision making problems may not be possible. Therefore, only the qualitative data are had to be considered within decision making process. Another problem is to make a decision by considering many interactive factors. Analytic Network Process (ANP) is a technique which finds the most appropriate alternative in the multicriteria decision problems that have many options. In this study, concept mapping is used for determining the relationships among the main components that affect the product in a frozen foods company and ANP structure is created with the help of concept mapping. During the solving process, the importance levels of the criteria are obtained.

Hazardous waste is substance that threaten people and environment in case of improper storage, disposal and transport due to its concentration, physical and chemical properties. Companies producing hazardous waste as a result of several activities mostly do not have any own disposal facilities. In addition, they do not pay attention enough to determine the right contractor as a disposal facility. On the other hand, there are various qualitative and quantitative criteria affecting the selection of the contractor and conflicting with each other. The aim of the performed study is to assist one of these companies producing hazardous waste in the selection of the best contractor that eliminates hazardous waste economic and harmless way. In the study, contractor weights in percentage is calculated by using Analytic Network Process (ANP) as one of the multi-criteria decision making (MCDM) methods and widely used in the literature which considers both qualitative and quantitative criteria. In the next step, by the help of the mathematical model, contractors that will be given which type of hazardous waste are identified. This integrated approach can be used as a guide for similar firms. [ABSTRACT FROM AUTHOR]

Copyright of Trakya University, Economics & Administrative Sciences Faculty E-Journal / Trakya Üniversitesi İktisadi ve İdari Bilimler Fakültesi E-dergi is the property of T.C. Trakya Universitesi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Multi criteria decision making methods, by optimizing the multiple criteria allowing the decision maker to choose the best alternative, is a methodological tool. Analytic Network Process (ANP) is one of the most widely used multi criteria decision making methods. ANP is an approach that allows the complex dependency relationships between criteria and alternatives and includes feedback results. In the study, ANP application, allows doing early warning analysis, is discussed on substance abuse, which is particularly widespread among today's teenagers, threatens human health and public welfare. In this context, it is aimed to identify the prevalence of drug use among young people, the factors that affect the areas of substance abuse and the risk areas. A survey that was prepared on Substance Abuse among Young People is applied to 2500 students who are currently studying in Keiören district and obtained survey results are modeled using the method. Then schools with a high density of young people, who carry the risk of substance abuse and should be given support, is aimed to identify. [ABSTRACT FROM AUTHOR]

Copyright of Kafkas University, Journal of Economics & Administrative Sciences Faculty / Kafkas Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi is the property of University of Kafkas, Faculty of Economics & Administrative Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Selcuk University Journal of Engineering, Science & Technology / Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi is the property of Selcuk University, Engineering & Architecture Faculty and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Outsourcing is an approved competitive strategy for companies that need to reduce operating costs, improve effciency and focus on core activities. Selecting the right outsourcing providers is one of the most important decisions for the enterprises or managers. The main purpose of this study is to propose a multi-criteria decision making (MCDM) approach to evaluate assessment criteria for selection of third party logistics service provider for warehousing. The analytic network process (ANP) approach is applied to analyze the structure of decisionmaking problem and evaluation criteria. Furthermore, a real case study in food retailing sector is presented to illustrate the application of the proposed approach. The results show that the "operational qualifcation" criteria is the most important evaluation criteria for selection of warehouse logistics service provider. [ABSTRACT FROM AUTHOR]

Markets and marketing conditions, competitive strategies, consumer behaviour and competitors are on an increase in today's business world. Marketing strategy which companies develop according to ever- changing internal and external environmental factors can be defined as the general principles that make them accomplish their objectives. Hotel companies are one of those companies implementing various kinds of marketing strategies and having a significant role in toruism industry. In this study it is aimed to develope a model to identify marketing strategies of thermal hotels operating in Kütahya. In order to identify the marketing strategy as a multi-criteria decision-making problem, Analytic Network Process which is one of Operational Research methods has been used. Decision-makers' subjective judgments have been included in the selection process with the help of Analytic Network Process method and some evaluations have been made by forming a network based on alternative marketing strategies that thermal hotels can implement, factors affecting these strategies and relationships between them. According to the results of analysis, differentiation strategy has been identified as the most significant marketing strategy. This study provides decision makers in thermal hotels with a practical decision-making framework to identify the most appropriate marketing strategy that will yield a competitive advantage using limited resources in marketing. [ABSTRACT FROM AUTHOR]

The main purpose of this study is to determine the importance degree of the barriers in the University-Industry Cooperation (UIC) by Karadeniz Technical University's faculty members. As a result of the Analytic Network Process (ANP) was performed for this purpose, "Structural Problems", "Problems Caused by Industry", "Problems Caused by Faculty Members" and "Problems Caused by University" were determined as the main obstacles of UIC. Furthermore, "Undeveloped Cooperation Culture" was determined as the most important sub-criteria when it was examined in more detail. "Lack of Interest from Industrialists" and "Bureaucratic Barriers" are came after from this sub-criteria. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Management & Economics Research is the property of Journal of Management & Economics Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Economics & Administrative Sciences / Afyon Kocatepe Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi is the property of Afyon Kocatepe University, Faculty of Business Administration and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In our country, 166 universities serve their students and academicians through various knowledge system softwares. While well-established universities produce the knowledge system softwares that they need by themselves, especially the universities newly founded and not having sufficient base mostly buy these softwares from supplier firms. The chosen knowledge system softwares will affect the service quality significantly that the universities will provide to their students and academicians. Therefore, it is required to make a detailed study in determining the criteria in selection and selection method. Although one of the most important knowledge system softwares that the universities use is student affairs, nearly half of the universities have stated in a study that they are not satisfied with the software products they use and consider changing them because of various reasons. In this study, by establishing the criteria and their severities that the universities considering to change student affairs knowledge system softwares take into account in the selection of software, 14 software products being sold in the market have been evaluated according to these criteria. The severities of the determined criteria have been calculated through Analytic Network Process approach and the sequence of meeting the requirement of current 14 alternatives according to these criteria has been made through TOPSIS method. [ABSTRACT FROM AUTHOR]

One of the basic elements of logistics firms operating in the transportation sector is their load carrying vehicles. Especially, in the case of taking new vehicles for a company or a total renewal of vehicle fleet is concerned, vehicle selection problems are too difficult for the managers who are at the position of decision making, because it depends on the evaluation of multi criteria. In order to be solved in a rational manner, scientific methods should be used to solve the decision making problems which have great importance for the firms. In this study, the determination of the selection criteria for the process of buying a new vehicle which a firm intends to add it to vehicle fleet and choosing the best vehicle in accordance with these importance weights of criteria has modeled. The importance weights of 20 criteria which are proposed for the selection of heavy commercial vehicles are determined by analytic network process (ANP), and vehicles are ranked by using PROMETHEE method. [ABSTRACT FROM AUTHOR]

The third part logistic (3PL) includes some certain parts or whole of the firm's logistic activities performed by the outsider companies. Today, in the global competitive environment, selecting the appropriate 3PL firm has a significiant effect upon the competitive capacity of the firm. In this case; selecting the optimum 3PL firm with an effective and applicable model is very important for the bussiness firms. In this study, an appropriate 3PL firm-choosing model was developed. In this model we applied the analytic network process (ANP) which is one of the multiple-criteria desicion making methods which considers the dependencies between the material factors and includes the quantitive and qualitative datas into the process. The network topology of the desicion making model and used factors were assigned by reviewing and considering the articles published in international indexed journals and the views of the experts in their fields. This proposed model was applied in a bussiness firm successfully. [ABSTRACT FROM AUTHOR]

Copyright of Journal of the Institute of Social Sciences Cankiri Karatekin University / Çankırı Karatekin Üniversitesi Sosyal Bilimler Enstitüsü Dergisi is the property of Cankiri Karatekin University, Institute of Social Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Today, advances in information and communication technologies have made several business branches move their business to computing environment. Profession of accounting is one of the fastest business branches that adapts to digital transformation. Giving right decisions in this digital transformation is very important in terms of both productivity and customer satisfaction. In general terms, the software selection issue, in particularly the choice of accounting software, is a complex multi-criteria problem. One of the outstanding methods that is used for solutions of multi-criteria decision problems is the analytic network process (ANP) method. ANP is an efficient decision making method in which the feedback among the internal and external dependencies the digitalized criteria and the criteria that are difficult to digitalize are analyzed. In this study, it was aimed to determine the most suitable alternative for selecting the most appropriate accounting packet program by considering a set of three main criteria, and 16 sub-criterion. The method for the study relies on determining the weights of criteria as a result of a survey that is done among accounting professionals and the analysis of obtained criteria weights by ANP method. In this study, six different accounting software alternatives are evaluated by using the method of ANP and the best alternative has been determined. [ABSTRACT FROM AUTHOR]

Copyright of Journal of the Institute of Science & Technology of Dumlupinar University / Dumlupinar Üniversitesi Fen Bilimleri Enstitüsü Dergisi is the property of Dumlupinar University, Institute of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper a solution method is proposed for emphasizing the importance of costumer needs at the starting of Quality Function Deployment (QFD) application when there are multi costumer groups. Data Envelopment Analysis (DEA) steps are added to an algorithm in which an Analytic Network Process (ANP) approach is used in QFD. The need for adding DEA steps is determining the efficient customer requirements when there are multi customer groups. This solution approach is called DEANP which aggregates data DEA to ANP. The relative importance values of product technical requirements are calculated with this algorithm and application is performed at a manufacturer of white goods company in Turkey. The fact that using DEANP instead of ANP produced more powerful solutions is also confirmed by marketing specialists. [ABSTRACT FROM AUTHOR]

Disposal problem of solid waste has qualitative and quantitative criteria. For this reason, Analytic Network Process (ANP), being a multi criteria decision making method, was used in evaluation of alternatives. In the study, decision makers, being experts of the subject, were interviewed to evaluate the solid waste problem of the city of Trabzon and it was tried to determine the most appropriate disposal alternative. Thus, it lights the way for the next studies in entire country by using ANP model in a real environment. The criteria, determined for this reason, were classified into 5 groups: financial, environmental feasibility, personnel management, public perception and technology. Besides, a network model was developed by determining the relationships among criteria. Consequently, "landfilling, composting and incineration" alternative was found as the most appropriate disposal option. [ABSTRACT FROM AUTHOR]

In this paper, it is tried to predict the market shares of the largest three companies in the white goods sector in Turkey through the use of the analytic network process. These companies are highly competitive in the white goods sector. To attract new customers and to retain the current ones, they have to compete by setting reasonable prices, produce high quality products and expand their service networks. In line with the sequence of analytic network process, first of all, an estimation of market share problem has been structured and modeled. Next, it is assessed the importance of the factors affected the market share and it is estimated the market shares of the white goods companies in Turkey using analytic network process. The estimated market share values have been compared with actual ones for the validation of the decision model. [ABSTRACT FROM AUTHOR]

In Analytic Network Process (ANP) applications, significant deviations are observed in the consistency of the decision model outcomes when the number of alternatives exceeds a predetermined value. This study aims at overcoming this problem. Using the hybrid approach which is proposed as information axioms extension on ANP, the decision attributes are weighed via ANP while information axioms evaluate the alternatives. The proposed approach is expected to contribute the solution of decision-making problems which have a great number of alternatives and existence of dependencies among attributes. [ABSTRACT FROM AUTHOR]

Supplier selection problem is a multi-criteria decision making(MCDM) problem which includes both tangible and intangible factors. In this study, supplier selection problem was investigated at a firm that performed in manufacturing industry. Supplier selection problem of a company is examined using Analytic Network Process (ANP) and priorities of alternative suppliers are calculated. ANP is used as a method for getting an effective and realistic solution because the problem has many criteria, complexity, outerdependencies, interdependencies, and feedbacks. By using ANP methodology three alternative suppliers were evaluated and the best alternative was selected. In addition, some suggestions for the future research are offered. [ABSTRACT FROM AUTHOR]

Copyright of Teknoloji is the property of Engineering Science & Technology, an International Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)