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

Using QSPM and WASPAS methods for determining outsourcing strategies

The aim of the current study is to select the best strategies for outsourcing development, applying decision-making tools that enable to make reasoned decision. To evaluate outsourcing strategies, a new model of Comprehensive Framework for Strategy Formulation and Selection is presented. Development of outsourcing of healthcare services in Tehran is analysed in the paper. Strengths, Weaknesses, Opportunities, and Threats analysis is used to evaluate the internal and external factors affecting the outsourcing of healthcare services in health deputy of the Tehran University of Medical Sciences in different aspects and to develop several possible outsourcing strategies. Quantitative Strategic Planning Matrix is applied for quantitative evaluation of strategies. It is proposed to validate the approach by applying Multiple Criteria Decision Making methods. Robust and accurate Weighted Aggregated Sum Product Assessment method is selected and applied for quantitative evaluation of strategies. Based on the consistency of the results of the both approaches, the five best strategies to develop healthcare services outsourcing are offered. First published online: 29 Apr 201

THE USE OF THE PIVOT PAIRWISE RELATIVE CRITERIA IMPORTANCE ASSESSMENT METHOD FOR DETERMINING THE WEIGHTS OF CRITERIA

The weights of evaluation criteria could have a significant impact on the results obtained by applying multiple criteria decision-making methods. Therefore, the two extensions of the SWARA method that can be used in cases when it is not easy, or even is impossible to reach a consensus on the expected importance of the evaluation criteria are proposed in this paper. The primary objective of the proposed extensions is to provide an understandable and easy-to-use approach to the collecting of respondents’ real attitudes towards the significance of evaluation criteria and to also provide an approach to the checking of the reliability of the data collected

A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection

The purpose of this article is to propose a fuzzy multi-attribute perfor- mance measurement (MAPM) framework using the merits of both a novel Weighted Aggregated Sum-Product Assessment method with Fuzzy values (WASPAS-F) and Analytical Hierarchy Process (AHP). The object of this study is to select the best shopping centre construction site in Vilnius. A number of conflicting qualitative and quantitative attributes exist for evaluating alternative construction sites. Qualitative attributes are accompanied by ambiguities and vagueness. This makes fuzzy logic a more natural approach to this kind of multi-attribute decision making (MADM) prob- lems. Fuzzy AHP is applied for assigning weights of the attributes and WASPAS-F method is used to determine the most suitable alternative

Glasshouse locating based on SWARA-COPRAS approach

Glasshouse is a kind of greenhouse that is larger than prevalent greenhouses. Glasshouses may have wide various applications and totally, is more applicable than greenhouse. One important point about glasshouse that should be considered is selecting a good location. Besides, finding a suitable location for this purpose is so hard because establishing a glasshouse needs a large area. Financial justification which is a major issue in glasshouse Investments highlights the importance of its locating. This research is based on strategic property management perspectives and its results can be used to properly locate an economically justifiable glasshouse in both governmental and private levels. There are some other important criteria affects on this issue. This research aimed at presenting new hybrid framework for glasshouse locating based on two MCDM methods. SWARA and COPRAS are applied in this research for glasshouse locating. This methodology for the first time is applied in a research. SWARA is applied for evaluating criteria and COPRAS is applied for evaluating alternatives. For illustrating the research methodology, a case study in Tehran, Iran is presented in the research. This research can be useful as a framework for this aim and also has the advantage to apply in other research areas

Multiple criteria decision-making KEMIRA-M method for solution of location alternatives

Choice of location in many cases is a key factor setting up a new business object. In this article the KEMIRA-M method is proposed to establish priority of criteria and determine criteria weights. Weighted sum of criteria values was applied for ranking the alternatives. This technique is useful if the evaluation criteria naturally consist of several logically explained groups of criteria. Method requires much less initial information and is based upon searching the solution of optimisation problem. KEMIRA-M is applied for the case study of construction site for non-hazardous waste incineration plant in Vilnius City

Planning the priority of high tech industries based on SWARA-WASPAS methodology: The case of the nanotechnology industry in Iran

Decision-making and planning at the top level is highly complicated. One important duty of each government and of policy makers is planning at different levels for future problems. This research addresses such a concern. Planning for the future is the aim of this research. Moreover, the importance of the topic is discussed. The case study focused on is the nanotechnology industry and its development in Iran. Nanotechnology is one of the main and strategic industries in Iran. The important criteria for such a development are determined based on a literature review and the experiences from other countries. The different alternatives are selected based on the different applications of nanotechnology in other industries. The alternatives are: agriculture, transportation, construction, oil and gas, textile products, food industry, defence industry, health and medicine, nano electronics, nano energy and environment and water. The methodology employed is Multiple Criteria Decision Making (MCDM). In addition, SWARA-WASPAS is the hybrid MADM model employed in which SWARA is applied to evaluate the criteria and WASPAS is utilised to evaluate and rank the alternatives

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

An introduction to Prospective Multiple Attribute Decision Making (PMADM)

In recent years futures science has received a great deal of attention and has gained worldwide credibility in the science community as the science of tomorrows. The countless applications of futures studies in various fields have been a major breakthrough for mankind. Undoubtedly, decision making is one of the most significant aspects of shaping the future and an integral part of any credible future research. Multiple Criteria Decision Making (MCDM) in general and Multiple Attribute Decision Making in particular (MADM), are among the most remarkable subparts of the decision making process. The most recent model developed using the MADM method is the Dynamic MADM. The model does not specifically concentrate on the future actions and approaches and remains to be fully explored. This research presents a new concept and a new approach in the MADM field which is called the Prospective Multiple Attribute Decision Making (PMADM). The PMADM model can very well cover the DMADM concept but instead chooses to focus on future topics. The study also introduces two new approaches. The first research aims to elaborate the basis of this model and then evolves to deal with the future limiters as they potentially pop up and change the course of future actions. The new model based on future limiters is separated and categorized into two sections; one of which is looked upon without the probabilities rate and the other one with the probabilities rate. This approach is deemed priceless due to its major applicability in the ranking of the MADM methods such as: TOPSIS, VIKOR, COPRAS, ARAS, WASPAS and etc. Finally, a case study with the various applications of PMADM model in WASPAS methodology is put forth and illustrated

Development of MCDM Methods – in Honour of Professor Edmundas Kazimieras Zavadskas on the Occasion of His 70th Birthday

Multiple Criteria Decision Making (MCDM) substantially evolved duringthe past decades and became one of the most important areas in OperationalResearch/Management Science. The article presents a review of extensive scientificwork of Professor Edmundas Kazimieras Zavadskas on development of MCDM methodson the occasion of his 70th birthday. The article also highlights his researchcarrier, and lists some of his publications