Case studies in industry and services
S. F. Fakhrehosseini
Abstract
The expansion of production and development in the industrial sector, it is necessary to increase the investment in that. But limits of the financial resources to the investment and high risk for investments in industrial and production activities on the one hand, and the frequency of necessities and ...
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The expansion of production and development in the industrial sector, it is necessary to increase the investment in that. But limits of the financial resources to the investment and high risk for investments in industrial and production activities on the one hand, and the frequency of necessities and goals of the other hand, is inevitable to planning and priorities of investment. This study to follow, in condition of risk and uncertainty and the exist fluctuations in supply and demand market of industry, optimization of model to determine priorities and economic feasibility to the investment in this sector. This study, in three approach (TOPSIS, VIKOR and COPRAS), will examine its purpose. This research has been made for Gilan Province from 2012 to 2015. The results of this research involve the investment criteria and specify the priority of these sectors. The final results of this study indicate based on TOPSIS, VIKOR and COPRAS, the current pattern of investment in the industrial sector was not optimal and needs to be adjusted in the percentages and amounts of investment.
Decision analysis and methods
M. Hassanpour
Abstract
The automotive industry comprises all sectors of the design, development, and production as well as marketing and selling of vehicles. Iran's automotive industries possess the largest sector after the oil and petroleum sectors in Iran. The preliminary assessments taken by both of Iranian industries organization ...
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The automotive industry comprises all sectors of the design, development, and production as well as marketing and selling of vehicles. Iran's automotive industries possess the largest sector after the oil and petroleum sectors in Iran. The preliminary assessments taken by both of Iranian industries organization and environment protection agency were reported to the presence of around 71 various kinds of Iranian Automotive Industries (IAI) and provided the data from initial screening once prior to set up industries and process by present research. Current cluster study is targeted to weight and rank all the IAI empirically via Simple Additive Weighting (SAW) and COmplex PRoportional ASsessment (COPRAS) methods supported with weighing systems of Friedman test and Entropy Shannon, SPSS IBM 20, and Excel 2013 software to process raw data. The SAW method is resulted to classify IAI from the largest industry to the smallest one depends on 5 criteria, such as the number of staff, energy consumed (water, fuel, and power), and the land area used. COPRAS model is assigned to rank IAI pertaining to both negative and positive criteria. Finally, awareness of input materials stream introduced into IAI cycle paves the way towards the development of studies related to industrial ecology and industry 4.0.
M. Niyazi; R. Tavakkoli-Moghaddam
Volume 3, Issue 4 , December 2014, , Pages 41-56
Abstract
Selecting the most appropriate and optimal facility location for a new organization or expansion of an existing location is an important strategic issue. The location, which results in higher economic benefits through increased productivity and good distribution network, is the best location. It is necessary ...
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Selecting the most appropriate and optimal facility location for a new organization or expansion of an existing location is an important strategic issue. The location, which results in higher economic benefits through increased productivity and good distribution network, is the best location. It is necessary to compare the performance characteristics in a decisive way when a choice is to be made from among several alternative facility locations. While the facility location selection problem includes multiple conflicting criteria and a finite set of potential candidate alternatives, different multi-criteria decision making (MCDM) methods can be effectively applied to solve such type of problem. In this paper, we apply three MCDM methods on a facility location selection problem and their relative ranking performances are compared. Because of disagreement in the ranks obtained by the three different MCDM methods, a final ranking method based on REGIME is also proposed to facilitate the decision making process. Then, the results of this study are compared by the results of the same study.
