فصلنامه مهندسی تصمیم
پیاپی 6 (بهار 1395)

In this study an integrated production/distribution problem in flow shop scheduling with tardiness costs¡ inventory costs and distribution and resource allocation costs is modeled. Imagine a supply chain in which several jobs are to be processed on several machines. Each job has a contracted due date. This paper aims at proposing an efficient model for minimizing total production and distribution costs which include tardiness costs¡ inventory costs and distribution and resource allocation costs. The mixed integer non-linear programming of the problem is then presented. Considering that these problems fall into the group of NP-hard we utilize a NSGAII algorithm to solve the proposed problem. This problem has been solved with small dimensions and restrictions on the Pareto frontier obtained Epsilon limitation and large-scale NSGAII meta-heuristic algorithm as well as small-scale solved the problem solving methods (Epsilon restrictions and NSGAII) are compared with each other.

The use of multi-criteria decision-making models for determining the agility and observance the pivotal-Islamic values in determining the weights and ranking key elements of the supply chain is the most important issues in organizations. Hence, in this paper a multi-criteria decision-making models for determining the agility and observance the pivotal values in determining the weights producers and distributors has been used for conversion explanatory variables to quantitative numbers and appropriate economic analysis. In order to provide suggested model, two-level supply chain composed of three producers (with three different products) and two distribution is assumed. In assessing the twelve criteria agility and value "sensitivity and responsiveness to market, flexibility, speed, quality products and services, competence, IT management, bailment, serving, justice, truth, public interests and care and self-control "was confirmed by experts. In this article, the results for a case study presented and to prove the validity and reliability of the research is used from lashe and Cronbach's alpha formula.

Rail transport industry is one of the growing industries in Iran, and competition in this industry has always increased, and this has led to the recognition of the status of companies active in this area is very important. Each company has one or more competitive advantages that make it superior to its competitors. The quality of services provided by companies can be considered as a competitive advantage for each of them. The purpose of this study was to investigate the factors affecting the quality of service in the railway transportation area and ranking of the companies active in the rail transport of Qom railway station based on these factors. In this research, the hierarchy of criteria was obtained using interpretive structural modeling method, and then their significance was calculated by fuzzy analytic hierarchy process method. Finally, companies have been ranked by the Extended TODIM (an acronym in Portuguese of interactive and multiple attribute decision making) methods, which showed that Fadak company has been selected as the best company in terms of service quality.

Banks are among the economic centers of the country, whose performance regarding promotion of productivity and efficiency, leads to economic development of the country. Accordingly, investigation of the status of the performance and efficiency of a bank will be influenced by the performance and efficiency of that bank’s branches. The aim of this study is to investigate the efficiency and ranking of 121 branches of a certain private bank in Tehran. For this purpose, first two-stage data envelope analysis has been used to obtain the efficiency of banks accurately using 7 indices as the input variable, 4 indices as the intermediate variable, and 1 index as the output variable. The results of the research indicated that in the first stage of the two-stage data envelope analysis, 51 branches were found to be efficient, which was reduced to 18 branches in the second stage. As the accurate efficiency of each branch was determined following two stages, for ranking the branches that had an efficiency of one, Sexton, Anderson-Peterson and Charles-Cooper efficiency method was employed. In the last stage, using Borda technique, the results obtained from the previous models were combined and the final ranking of the bank’s branches was determined.

In this paper, the Utility Additive Star method which is a subsidiary to multi criteria decision making analysis methods and Multi-criteria decision support systems, are used to present a model in order to study and analyze the made decisions by management about issues such as selecting the contractors to outsource the serving affairs of the organization. Its notable that evaluation indexes and their weight has been chosen due to the outsourcing goals by the experts of the organization and also for the final analysis of managerial decision making, the multi criteria decision making matrix resulting from viewpoints of these experts, are used. In the end, a comparative analysis between decision making of management and experts is done about the way of evaluation and final selection of the contractors and also about the weight of the evaluating indexes in the viewpoint of the management using specific features of UTASTAR method. It should be noted that of all the features and innovation of these kind of techniques, ranking of the options was based on previous priorities that not only didn’t need the weight of the criteria but itself meanwhile the analysis of the basic ranking, calculates the weight of the criteria and using the resulted value function, presents a pattern that organizations will be able to do the similar evaluation and rankings.

The public organizations in our country have limitation in having a scientific model for decision making about outsoursing their activities. The present manuscript, has chosen the optimal strategy among possible strategies via Quantitative strategic planning matrix (QSPM) approach. The main purpose of the research is development of an approach for strategic decision making and choosing the best strategy among deternined strategies ( the given strategies in the research were about outcourcing of duties of performance auditing office of Mashhad municipality). The tool of gathering data is intellectual storm merthod. The elites in the present study are bosses of audit offices and major auditors. The result of the research indicates reliable capacities of performance auditing office of Mashhad municipality from internal factors view point and significant adaptation from external factors view point. The present study, has determined priority strategies in 4 situations of development, defensive, variety and changing direction. In addition, it has chosen the optimal strategy via measurement of utility amount by QSPM model. The result of the reseach indicate that lack of outsourcing has been more optimal than outcourcing.

Personnel selection (PS) is an important process in human resource management. PS process is aimed at choosing the best candidate to fill the defined vacancy in a company. Due to the increasing competition of globalization, selection of the most appropriate personnel is one of the key factors for an organization's success. Decision making for the PS problem, is a complex and multi attribute problem. However, since the appropriate process for extracting PS attribute not being used and the importance and complexity of the problem, call for the method combining both subjective and objective assessments rather than just subjective decisions. The aim of this paper is providing a model based on combination SWARA and ARAS Multi-criteria decision making method for PS problem based on Attributes which Extracts from Job Analysis. Then the Model used for Hiring HR Planning expert in mother company Tavanir. This research was applicable and desktop research in term of purpose and based on experts opinion in term of data gathering. The results show that utilizing MCDM methods in PS problems led to efficiency of the process and since it considers various criteria, it candidates and hires efficient and appropriate human resources in long term periods.