جستجوی مقالات مرتبط با کلیدواژه "multiple attribute decision making" در نشریات گروه "مدیریت"

Reforming the administrative system and government management involves a systematic and integrated effort; in such a way that effective changes can be made in the public administration system and its ability to achieve national progress can be increased. This research has been conducted with the aim of providing an organizational improvement model in Iran's government organizations (case study: National Iranian Oil Company). The research is of mixed exploratory type. At first, the dimensions, components and indicators of the model were compiled from the Meta-Synthesis approach. In the next step, fuzzy Delphi method was used to evaluate, screen and localize the model. In the last part of the DANP technique, the relationship and their effects were analyzed. The first stage community including 41 articles out of 651 articles (between 1395 and 1402 for domestic articles and 2015 to 2022 for foreign articles) were selected by systematic review and coded by content analysis method. In the second stage; 6 dimensions, 22 components and 88 indicators were validated and localized with the help of 15 experts, and at the last stage, the final model was prioritized with the help of 15 experts. The findings of this research stated that in order to improve the organization in the National Iranian Oil Company, the dimensions of human resources development, business environment, organizational culture, organizational health, social responsibility and organizational structure should be considered by the managers of the National Iranian Oil Company.

This research looking for design and explain a comprehensive model that can be used to evaluate organizations according to indicators of an intelligent organization.

Design/methodology/approach:

The research is an applied developmental one in terms of purpose, which follows descriptive survey method in terms of nature and methodology. The statistical population of Delphi panel is 20 experts in the field of management and the statistical population of the Case Study is the managers and senior experts of the Social Security Organization. data collection tool contains dimatel interviews that used Delphi technique in three stages to designing it. Data analysis was conducted through DANP (DEMATEL-ANP) technique to obtain cause and effect relationships and the weight of the indicators.

According to the results, technological intelligence (2 indicators) with a weight of 27.52, structural intelligence (4 indicators) 25.6, Intra-organizational intelligence (3 indicators) 23.81, Extra-organizational intelligence (3 indicators) 23.06, Also among 12 indicators, Knowledge management, information technology and systematic thinking were identified as the most important indicators of smart organization.

Limitations & Consequences:

 Due to the specialization of the components of the smart organization, there was a concern that the respondents would not have a uniform understanding of the concepts, so each of the concepts was explained.

Practical Consequences: 

the practical result of this research is a comprehensive model that can be used to evaluate organizations according to the dimensions and indicators of intelligent organization.

Innovation or value of the Article:

Intelligent organization is an important part of strategic integration and alignment in e-government. Also, in terms of the approach in the usual method using the Demetel method and ANP, many influences and relationships may be eliminated. In the DANP method using the total communication matrix to form the ANP supermatrix and calculate the weight of the criteria and sub-criteria.

Todays, almost all large companies and organizations have recognized the importance of the processes improvement and had experience in this field or started its application. Due to the fact that, the aim of this research is providing a framework for improving the processes. This research is practical in terms of purpose and is descriptive-exploratory in terms of method. In this researchthe intended processes have been investigated via interview, and mapped by using the standard language of models and symbols of the business process (BPMN.2) and Visual software paradigm. In the next stage, after extracting the existing problems, they were drawn up in the form of cause and effect diagram through interviewing with managers and experts.. Then, the solutions were extracted through the open questionnaire. The solutions were completed in a few steps using the Delphi method. Subsequently, the design of the Fuzzy Analytical Hierarchy Process (AHP) and the Quality house Table were developed. The weight of the problems and solutions was obtained by the completion of the questionnaire by the company's experts. Finally, the processes were analyzed by extracting the evaluation indicators and improve suggestions have been proposed.

The aim of this study is to identify the factors that form brand equity and determine the weight and rank of each factors in terms of importance and effectiveness. The Indexes of this study have been derived from Aaker model and sub-indices have been achieved by refering to the experts of insurance management branding in Tehran and  related literature.The statistic sample of the present research contains of 237 persons including those who work in each branch of insurance companies like managers, experts and  also their customers.The main factors that create brand equity have been identified by using Fuzzy screening and relation types. The weight and rank of each variable respectively detected by using DEMATEL, ANP and VIKOR approaches. Data analysis indicated that customer awareness of the brand and the perceived quality respectively has the highest and the lowest priority among the detected indices and between sub-indices, awareness of the offered services by the desired brand and the customer's belief about the uniqueness of the brand   have the highest priority.

Tanavar Co. has had problems in making strategic decisions, due to the lack of a systematic mechanism to manage risk events. Hence to facilitate the enterprise risk management (ERM) process, a decision support system which is able to support decision making at all stages of risk management process has been developed. This research introduces a methodology which supports decision making in the whole process of enterprise risk management and in addition applies multiple attribute decision making (MADM) tools such as weighing method based on eigenvalue approach and TOPSIS method, fuzzy inference system and also integer programming. Applying MADM models for using qualitative, quantitative and sometimes contradictory criteria, and also using experiences and opinions of experts, requires a decision support system. Thus for implementation and validation of recommended model, a software has been developed and applied in Tanavar Co. and specifically in Enghelab sport complex.

Present study tries to determine the optimal model for establishment and performance of Electronic banking services regarding to increasing of customers satisfaction at Iran banking system. The most important Data & inputs are opinions and request customers، therefore in present study is used Interval Logic (special form of Fuzzy Logic) in order to enter ambiguities & uncertainty in the verbal Data resulted from customers opinions. Therefore techniques combination of Interval AHP and Interval VIKOR are used in this study. The results indicate that current model of E-banking services don''t satisfy requests and opinions of the customers. Thus investment proposed model for development of ATM، Telephone banking، Electronic Cards، Internet banking، Point of Sale (POS)، Mobile banking are 21/32%، 9/72%، 26/96%، 18/18%، 15/36% and 8/46% respectively.

Energy consumption trend has been very rapid and alarming in recent years. This trend in developing countries and in particular in Iran is much higher than the global average. An accepted fact is that the world required energy is growing rapidly for societies and we also have cheap fossil energy sources that certainly, in a few decades will be finished but slowly. Human should use of clean and renewable energy for keeping these valuable fossil resources to future generation and prevent than environmental damages that created by these resources and answer to increased demand for energy [10]. In this study in first has analysis effect Factors on solar and wind energy and then the best place have been identified for wind and solar power plants in the kerman province with Using of GIS software and multi attribute decision making technique. To identify the best places for wind power plants have been used GIS software and to identify the best places for solar power plants have been used of AHP, TOPSIS, SAW methods and finally MADM method. in this study Sirjan county Have been identified as the best place for solar power plants and Rafsanjan county as the best place for wind power plants

Surveying the supplying market, as well as choosing the most proper supplier, is one of the most important activities in every organization and company. Neglecting the conditions of parts and raw material supply or disregarding cooperation with the suppliers would lead to an increase in purchase costs, quality control costs, and quality guarantee costs. All the mentioned costs would eventually make the customer dissatisfied with the final goods and services. In ranking the suppliers and choosing them as suppliers, several criteria and factors should be considered.
In this paper, in order to rank and evaluate the suppliers of Iran Tractor Manufacturing Company (ITMCo), we have studied the methods and models of multiple attribute decision making, and eventually, have chosen the proper model. The research population consists of the experts of parts-supplying department of ITMCo.
First, the important criteria evaluating and ranking the suppliers of ITMCo. Were determined based on library Study and interviewing the experts. Then, by using a questionnaire and based on the Shanon Enteropy Method the importance rate of each criterion was specified.
Studying the multiple attribute decision making models showed that TOPSIS model is the most suitable model for ranking the suppliers of ITMCo.
The parts needed in ITMCo in 2005 (1384) are divided in to 6 main categories: 1) Completed forged and cast parts
2) Completed parts
3) Completed machined parts
4) half-completed forged and cast parts
5) half-completed sheeted parts
6) half-completed machined parts.
Since studying all the mentioned groups is not feasible in this paper, we have confined our study only to the ranking of the suppliers of the first category, the completed forged and cast parts.

On of problems that many parents every summer are faced with is school selection for their children. In this article fuzzy multiple decision model (FMCDM) has been used. For determining the weights of criterion the weighted least square method (WLSM) has been used. Then by revised yager model alternatives (school) have been ranked.