Investment prioritizing in high tech industries based on SWARA-COPRAS approach

One of the symbols of developed countries is high tech industries. High tech industries have a large margin. One of the priorities of developing countries is the progress in this type of industries. The decisions about priority of developing an industry are so hard that seems it should be seen from different perspectives. This research is focused on decision and policy making in priority of high tech industries in Iran. Two MCDM methods are applied in this research for decision making in this area. SWARA for evaluating and weighting criteria and COPRAS for evaluating and ranking alternatives are applied. Eleven experts from different fields participated in this research to make decision with SWARA and COPRAS. Four high tech industries including Biomedical Micro Electromechanical Systems (BioMEMS), Nano Technology, Biotechnology, and Biomedical Engineering were selected for this research. These industries were selected based on the potential of Iran. Final result shows that Nanotechnology is at the top of priorities in Iran. Authors believe that this methodology can be useful in other issues in this and other areas of research

Evaluating logistics villages in Turkey using hybrid improved fuzzy SWARA (IMF SWARA) and fuzzy MABAC techniques

Positioning in the right location for organizing logistics activities is a determinative factor in the aspect of costs, effectivity, productivity, and performance of these operations carried out by logistics firms. The proper logistics village selection is a crucial, complicated, and time-consuming process for decision-makers who have to make the right and optimal decision on this issue. Decision-makers need a methodological frame with a practical algorithm that can be implemented quickly to solve these decision-making problems. Within this scope, the current paper aims to present an evaluation tool, which provides more reasonable and reliable results for decision-makers to solve the logistics village selection problem that is very complicated and has uncertain conditions based on fuzzy approaches. In this study, we propose the Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis (IMF SWARA), a modified and extended version of the traditional fuzzy Step-Wise Weight Assessment Ratio Analysis (F-SWARA) to identify the criteria weights. Also, we suggest applying the fuzzy Multi-Attributive Border Approximation area Comparison (F-MABAC) technique to determine the preference ratings of the alternatives. This combination has many valuable contributions. For example, it proposes to use a more reliable and consistent evaluation scale based on fuzzy sets. Hence, decision-makers can perform more reliable and reasonable pairwise comparisons by considering this evaluation scale. Besides, it presents a multi-attribute evaluation system based on the identified criteria weights. From this perspective, the proposed model is implemented to evaluate eight different logistics village alternatives with respect to nine selection criteria. According to the analysis results, while A8 is the most appropriate option, C1 Gross National Product (GNP) is the most significant criterion. A comprehensive sensitivity analysis was performed to test the robustness and validation of the proposed model, and the results of the analysis approve the validity and applicability of the proposed model. As a result, the suggested integrated MCDM framework can be applied as a valuable and practical decision-making tool to develop new strategies and improve the logistics operations by decision-makers

Performance evaluating of rural ICT centers (telecenters), applying fuzzy AHP, SAW-G and TOPSIS Grey, a case study in Iran

The project of developing technology in villages was an important project in Iran which was finished in 2010 but it's still being pursued to develop its related services. This project includes many major and minor objectives. After passing six years from the beginning of this project, it seems reasonable to do research about evaluating the progress of these centers. Hence, a framework of evaluation is presented studying past researches utilizing the following criteria; public training, classic training, special training, cultural services, social services, governmental services and other services. Three MCDM methods are applied for evaluating; Fuzzy AHP is used for calculating weights of each criteria and sub-criteria and SAW-G and TOPSIS Grey are applied for evaluating alternatives. Three rural ICT centers are selected as a case study which are located in Golestan Province in north of Iran. The findings show that due to new services presented in these areas, public training and cultural services are more important criteria. Results of SAW-G and TOPSIS Grey are the same which both selected Gharnabad ICT center as the best center and Livan and Bala Jadeh centers are placed as the second and third, respectively

Performance evaluation of private universities based on balanced scorecard: empirical study based on Iran

Private universities are new generation of universities in Iran that their existences are less than 20 years. The research in this area was never completed about evaluating of these universities all these years. The aim of this research is to make a framework for evaluating these universities with Balanced Scorecard (BSC) and MCDM methods. Three MCDM methods are applied in this research. DEMATEL is applied for research on cause and effect relations of perspectives of BSC, ANP is applied to calculate weights of indices in perspectives and finally VIKOR for ranking universities that is selected as a case study. This research totally used 38 experts in two groups for evaluating of universities. Results of this research are: (1) Internal Process is the most effective perspective of BSC. (2) Brand, Academic Excellence, Product Quality, Student Satisfaction and Budget Control are five more important indices that calculated with ANP. (3) Shomal University of Amol is the best university among five universities that were selected for this research and they have been established more than ten years

Emphasizing access to health and treatment services in order to identify the key factors influencing an age-friendly city

One of the most important goals of urban management is to provide comfort and well-being for all citizens. According to the population trend of the world, a massive segment of the future population will be the elderly. Therefore, it is crucial to pay attention to the needs of this segment of society. In this regard, the concept of an age-friendly city that provides a favorable urban environment for the elderly has entered the world’s scientific literature. Because one of the essential land utilization that the elderly have a lot of connection with is health-therapeutic use, the current research has been carried out to evaluate the current health-treatment situation of Songhor city in terms of its usefulness for the elderly. In the second step, the most important drivers influencing the location of these uses have been identified from the perspective of related experts. This research is applied in terms of purpose and descriptive-analytical in terms of research method. The required data has been collected using library-documentary studies, field surveys, and the distribution of questionnaires from related experts. According to the study’s findings, more than 60% of treatment facilities in Songhor city are inaccessible to the elderly. This difficulty varies by therapeutic use; in some cases, it is less difficult than the average, while in others, it is more difficult. In addition, three factors–investment cost (V3), rivalry (V10), and population density (V8)–have been identified as the age-friendly city’s main drivers out of a total of 18 main variables. The study’s findings indicate that the global population is aging, and urban managers and officials should design urban environments following the requirements of the projected population by putting forth medium- and long-term plans

Market segment evaluation and selection based on application of fuzzy AHP and COPRAS-G methods

Market segment evaluation and selection is one of the critical marketing problems of all companies. This paper presents a novel approach which integrates fuzzy analytic hierarchy process (FAHP) and COPRAS-G method for market segment evaluation and selection. Fuzzy AHP is used to calculate the weight of each criterion, and COPRAS-G method is proposed to prioritize market segments from the best to the worst ones. The application of fuzzy set theory allows incorporating the vague and imprecise linguistic terms into the decision process. This study can be used as a pattern for market segment selection and future researches. A case study on a chair manufacturing company is put forward to illustrate the performance of the proposed methodology. First published online: 14 Sep 201

A pre-planning for hotel locating according to the sustainability perspective based on BWM-WASPAS approach

Finding an appropriate location from any kind of perspectives is a really vital issue for businesses. Searching for the best location to meet a business perspective which can be also a sustainable one would be really challenging and it needs pre-planning. Locating for business issues in tourism industry for instance hotel locating is one of the major complicated topics in this area. Locating can come along with pre-planning and kind of feasibility studies which can cover all necessities of current and future needs of an issue. Locating with sustainability point of view is one the newest approach in different studies which this research is also working on that based on a hybrid Multiple Attribute Decision Making (MADM) model. MADM methods are really suitable ways in making complicated decisions in different areas. A hybrid MADM model based on BWM-WASPAS is applied for locating problem in finding the best location for the hotel locating challenge. To meet the aim of this research, a case study for evaluating probable locations of a five star hotel examined for the Shahrekord city, Iran. As locations were prioritized based on sustainability perspective, business goals can also be seen as a pre-planning project

DIZAJN PROIZVODA S ISTOVREMENO MEĐUNARODNOM I LOKALNOM PERSPEKTIVOM NA OSNOVI YIN-YANG TEORIJE RAVNOTEŽE I SWARA METODE

Producing and designing products are keys of success and have a critical role in industries. This research presents a new framework for special situations using Yin-Yang balance (YYB) theory in producing and designing products with new perspectives. This paper considers general situations in producing products for international producers and industries. SWARA method is applied for prioritizing important criteria of this issue. Six criteria of this research based on their priority were considered as important: general features of each product and applications, cost control and final pricing policies, appearance with moderate perspective, marketing researches in details, identifying target markets in details and special attention to production capabilities. This framework can be modified regarding the needs.Proizvodnja i dizajn proizvoda su ključevi uspjeha te imaju ključnu ulogu u industriji. Proizvođači bi morali biti pažljivi što se tiče njihovih proizvoda, ciljanih tržišta kao i mnogih kriterija koje pri tome moraju uzeti u obzir. Ovo istraživanje predstavlja novi okvir za posebne situacije koristeći teoriju Yin-Yang ravnoteže (YYB) pri proizvodnji i dizajnu proizvoda s novim perspektivama. Ovaj rad proučava opće situacije u proizvodnji proizvoda za međunarodne proizvođače i industrije. Proizvođači mogu smanjiti trošak i rizik proizvodnje proizvoda uzimajući u obzir kako unutarnje tako i međunarodne karakteristike proizvoda. U tome smislu se koristi SWARA metoda kako bi se odredio prioritet važnih kriterija u ovom pitanju. Pet stručnjaka je sudjelovalo na konferenciji u dvije sekcije i odabrali su važne kriterije. Prioritet kriterija je baziran na stupanjskoj (stepwise) metodi analize omjera težine. Šest kriterija ovog istraživanja na bazi prioriteta je određeno kao važno: opće karakteristike svakog proizvoda i aplikacije, kontrola troškova i politike finalnih cijena, pojavnost s umjerenom perspektivom, detaljna marketinška istraživanja, utvrđivanje ciljnih tržišta u detalje i posebna pažnja proizvodnim kapacitetima. Najvažniji kriterij među njima jesu opće karakteristike svakog proizvoda i aplikacije. Ovaj okvir se može modificirati s obzirom na potrebe svake industrije te se može primijeniti kao model potpore općem odlučivanju za proizvođače i industrij

Multiple nash equilibriums and evaluation of strategies. New application of MCDM methods

There are two different approaches in this study with different implications. The first approach and the main aim of this study is a methodological framework. There are different frameworks in solving game theory topics involving at least two Nash Equilibriums. This study presents a new framework for developing this part of game theory with MCDM framework. The authors believe that at least there is a perspective or paradigm behind each game theory topic, leading to the development of strategies accordingly. For this purpose a hybrid MCDM method based on SWARA-WASPAS is applied in the process of research for evaluating the strategies. The general topic of this research is in supply chain management field. This research also focuses on this issue and implies extend of the complication involved. An additional focus in the present paper is on defining a game. This research addresses developing strategies from only stable strategies to both normal and dynamic strategies. The topic is established to find the best mixed strategy considering current international and economical position of Iran against complicated international relations’ issues and specially sanction

Multiple attribute decision making (MADM) based scenarios

Decision making takes into account a myriad of factors about the future topics, which often prove challenging and quite complicated. Multiple Attribute Decision-Making (MADM) methods still have not become powerful enough to help decision makers to adopt the best solutions regarding future issues. Different scenarios are suitable for developing an appropriate outlook toward different probable futures. Scenarios are not inherently quantitative, but recently different integrated quantitative methods have been incorporated with the processes in various studies. Previously, different types of scenario-based MADM methods have been presented in different studies, but they just considered each case separately. In those studies, MADM methods were only applied to evaluate the situation in scenario-based MADM. This research concentrates on another paradigm in applying scenarios to upcoming events, MADM methods in the new area are explored, and the concept, which is called MADM based scenarios, is presented. In different situations and scenarios, different MADM models will happen. New concepts about most useful criterion and applicable alternatives are introduced in this new approach for decision-making about the future. In addition, a general framework is proposed for applying MADM-based scenarios for unpredictable scenarios and situations, which can be almost controlled future in practice