Selecting a site for construction of Cement factory using LINMAP a case study in three areas of Isfahan Industry
roshanak
motofakerfard
industries, technical and engineering, Islamic Azad, Najaf Abad, Iran
author
hadi
shirouyehzad
عضو هیئت علمی
author
text
article
2017
per
The main objective of this research is, how can suitable place to build a cement factory using LINMAP provided. At first, data collection and analysis was performed on them. Industrial three areas of Isfahan province were selected as the test model was. For this purpose, a questionnaire with 8 standard was designed with a few experts cement industry. The study population consisted of a candidate site for the construction of a cement factory was. Major Findings indicate that measures environmental conditions and access to the labor force weights respectively 0.862 and 0.138 have been selected for decision-making. Also, Mahyar areas with Rank 1 and Rank 2 in the order of Aminabad and Natanz has been proposed for development programs to managers. Finally, our study also discussion of sensitivity analysis was performed.The main objective of this research is, how can suitable place to build a cement plant using the method presented LINMAP
Journal of Decisions and Operations Research
Ayandegan Institute of Higher Education, Tonekabon, Iran
2538-5097
1
v.
2
no.
2017
79
92
https://www.journal-dmor.ir/article_44882_0d44569a32e6125b2a60ecef835bba5c.pdf
dx.doi.org/10.22105/dmor.2017.44882
Selection the Optimum Place for Esfahan PIHO Clinic By Fuzzy TOPSIS
Meysam
Azimian
کارشناس آموزش و پژوهش بهداشت و درمان صنعت نفت اصفهان
author
Abbas
Miranzadeh
کارشناس دفتر برنامه ریزی پژوهشکده علوم و فناوری زیردریا
author
text
article
2017
per
The Goal of this research is using of Fuzzy TOPSIS, one of the method of multi attribute decision making (MADM), for Selection the Optimum Place for Esfahan PIHO Clinic from exist options.In this research, after organizing a decision making team and identification of indexes may influence the clinical processes, the PIHO Clinic options were weighted by Fuzzy TOPSIS approach. Firstly, two options were selected for evaluation by Satisfying Method. Then indices for evaluating options were estimated by defining the indices for evaluating each one, determining their relative status to indices and fuzzy TOPSIS method. The results are only assigned for a particular time section and under controlled organization. The main conclusion is shown, using this method may invoke as a useful management tool for organization decisions. The invention seen in this paper is an integrated method of Fuzzy and MADM to selection the best place for clinic in Petroleum Industry Health Organization.
Journal of Decisions and Operations Research
Ayandegan Institute of Higher Education, Tonekabon, Iran
2538-5097
1
v.
2
no.
2017
93
111
https://www.journal-dmor.ir/article_44885_24a4a5a15f90acab60924ab51be7f7b9.pdf
dx.doi.org/10.22105/dmor.2017.44885
Choose suppliers in the supply chain green (sustainable) required to purchase color surface marking
Case Study: Department of Transport and Engineering Company Nik Andish
Nima
Nilforoushan
PHd Student in Economic- Economic Faculty- shiraz-iran
author
Ahmad Reza
Tahanian
Department of Industrial Engineering Najaf Abad Branch, Islamic Azad University, Esfahan, Iran
author
text
article
2017
per
In recent decades, how to determine the best supplier as a strategic factor in the supply chain is considered. If the parameters such as the development of sustainable (green) will also continue to be important for selection will not be easy. Today, no company can ignore the supply chain management and is expected to survive. In this paper to identify the most important criteria in the process of strategic decision-making based on green supply chain management to select the suppliers to buy paint for the implementation of different parts of the Isfahan Municipality has been lining. In this study, using decision criteria used to rank priority TOPSIS production companies were highlighted. Preparing a questionnaire and an interview with The ranking has been done. The results showed that due to the fact that different perspectives in understanding the issues of sustainable development and environmental factors exist between employers and the adoption of green supply chain management with the benefits of inter-organizational and is so much buy based on the parameters of price and stress management can be a macro environmental strategy is effective it tends to be.
Journal of Decisions and Operations Research
Ayandegan Institute of Higher Education, Tonekabon, Iran
2538-5097
1
v.
2
no.
2017
112
131
https://www.journal-dmor.ir/article_44886_55ab2254c7b4db39d9a41827b076d337.pdf
dx.doi.org/10.22105/dmor.2017.44886
Use to multi period multi attribute decision making for mid term planning of Chemidarou company products
mostafa
shiri
Islamic Azad Univercity, Semnan
master's degree,Industrial Engineering
author
Ali
Jahan
Islamic azad univercity semnan
Industrial engineering group manager
author
text
article
2017
per
MID term planning or determination of productionbudget is one of more importatnt activities for manufactoring industries that is necessory to be started befor the beginning of each period.the purpose of budget , is prediction of consumption market in next period and determination of production schedule in order to provide market needs. we need to know priority of products for budgeting. this priority is presentable by decision making techniques.using data of one period don't show the process of changes in attributes during previos periods. for this reason, in this article, topsis technique is developed by using multi period data instead of one period. in order to explain this research, we will prioritize chemidarou products with more than one handred and sixty production license.but in this article, the mentioned mettod is shown in five cases of products during three consecutive years befor the intended period and we consider decision attribute such as profit margin, market share, the number of competitors ond consumption growth in country.applying of suggested method is very useful for this company and other companies with wide variety of products in case of selection high value products to stay on budget and present mid term production planning.
Journal of Decisions and Operations Research
Ayandegan Institute of Higher Education, Tonekabon, Iran
2538-5097
1
v.
2
no.
2017
132
150
https://www.journal-dmor.ir/article_44887_f92e9719e1231bee8ecba86bf6fad7a6.pdf
dx.doi.org/10.22105/dmor.2017.44887
A hybrid approach to assess the relative DEA and TOPSIS in the country to build solar power plant
ehsan
vaezi
Islamic Azad University of Parand
author
ismail
najafi
Islamic Azad University, Science and Research Branch, Tehran
author
text
article
2017
per
In this paper, we identify the basic variables to build solar power plant using methods MCDM FOR Ranking in the country for the construction of solar power plant deal.THE topsis method Each of the numeric distance from the ideal option in terms of positive and negative attributes. Then, using data envelopment analysis And using a multiple model CCR and according to the output topsis method As well as input variables every city in the country to assess relative Solar power plant construction or in other words the capacity to build solar power plant In each of the cities we compare the relative efficiency and obtains points.Revealing the efficient frontier are Pareto efficient cities for investment and the construction and operation of solar power offer. The results show Ahvaz city to take advantage of solar energy is the most talented.In this paper, we identify the basic variables to build solar power plant using methods MCDM FOR Ranking in the country for the construction of solar power plant deal.THE topsis method Each of the numeric distance from the ideal option in terms of positive and negative attributes.
Journal of Decisions and Operations Research
Ayandegan Institute of Higher Education, Tonekabon, Iran
2538-5097
1
v.
2
no.
2017
151
162
https://www.journal-dmor.ir/article_44888_d21722df56bb77a3f86c7fb50aa90837.pdf
dx.doi.org/10.22105/dmor.2017.44888