نشریه مدیریت صنعتی
سال دوم شماره 5 (پاییز و زمستان 1389)

Supplier evaluation and selection is important in supply chain management. This is a typical multiple criteria decision making that consists of both quantitative and qualitative factors. AHP is a proper approach to aid this decision making problem, because of its inherent capacity to handle qualitative and quantitative criteria, but when criteria are dependent this method is not so good. Also the weight in model may be influenced prejudice. Data Envelopment Analysis (DEA) has emerged as an important tool in the field of efficiency measurement. This model can aid decision maker in MCDM problem. This paper depicts the supplier-selection process through an imprecise data envelopment analysis (IDEA) model integrated with AHP model, which is called IDEA/AHP model, this model is give a full ranking for supplier based on supplier performance.

Traceability is a basic requirement for the most of products from the viewpoint of governments and customers. It has base of quality systems and supports integration of supply chain information systems. This paper has presented a holistic model for supply chain traceability through structural equation modeling. This model will support recall of products, quality assurance requirements, improve the flow of information, cross supply chain interactions, and optimizing materials/products flow in supply chains. It has been deep thinking research method to present a comprehensive view of integrated traceability objects in supply chain level. In addition it has been focused largely on published case studies about traceability in different industries too. By using of operational managers opinion as main users of system and information system developers, the formulation of a general set of requirements and a general modeling solution for information system development is provided.

This research has been conducted due to changing of organization's operating environment and the need of radical change in short time to facilitate the match between market opportunities and corporate capabilities. As Hammer and Champy found that 50-70% of attempts have been failed to deliver intended dramatic results, a preevaluation by less time and less costly from the current process demonstrating the need to execute BPR would help top management in his decision making. In this study Iran Power Plant Projects Management Company (MAPNA) has been investigated as a case study initially defined procurement system as a key process by cost/value matrix then present status of the process has been evaluated by a questionnaire survey. The main null hypothesis regarding the lack of any process gap between the present situation respect to the best practice has been rejected; a process gap has been verified.

While conventional data envelopment analysis models set targets separately for each decision making unit, centralized recourse allocation model is presented where there is a centralized decision maker that supervises all the operating units. Optimizing of total input consumption and total output production is the main aim of this model. In this paper, firstly the centralized output production model is presented that optimizing total output production. Then, a model is introduced which is a combination of centralized input allocation and centralized output production models. Some numerical examples of the proposed models and their results are presented, as well.

The AHP/DEA methodology is an integration of Analytical Hierarchical Process (AHP) and Data Envelopment Analysis. This method uses the capabilities of both AHP and DEA. However, it has some problems: It illogically compares two decision-making units in a Data Envelopment Analysis (DEA) model, it is not compatible with DEA ranking in the case of multiple inputs/multiple outputs, and it leads to weak discrimination in the cases that number of inputs and outputs is large. In this paper, we propose a development on the first stage of the two-stage AHP/DEA methodology that removes the mentioned problems. In the first stage, we develop a model which considers the effects of each unit on the others, and the second step is the same of the main method. Numerical examples are presented in the paper to illustrate the advantages of the developed AHP/DEA methodology

The increasing emphasis on supply chain management (SCM) has led researchers to rethink models, constructs, and frameworks for quality management (QM) that have been developed for the field of operations management. In this paper, within the framework of a structural model we investigate how these two supply chain management-related quality practices (customer focus and supplier quality management) lead to improved quality and business performance of a supply chain and examine some of the most important success factors of QM that precede and mediate those relationships. In this study, we use survey data gathered from 100 industrial firms operating in the Iran. Our results provide further support top management commitment’s role in building supply chain linkages that will impact quality performance. In this study, we also find a statistically significant direct relationship between top management commitment and role of quality department that finally impact supply chain performance.

Small and Medium size firms have major influence on job creation. Some researchers, believe most of the new jobs are created in existed firms rather than newly established ones. Growth management, could be the most important tactic for the firms future success. Although it has many advantages for the firm, growth process faces some challenges. In this research, these challenges were identified, and ranked through their influence on firms growth. To do so, using questionnaire's data and previous findings of literature and factor analysis technique, growth challenges were ranked with AHP method. Results shows that in a descending order, lack of flexibility in products, inability to influence on markets, lack of resources, and competency shortage, are small and medium foundry firms challenges. The results indicate that, lack of intention to growth is not these firms challenge on growth.

The main aim of this research is to survey deeply into the Quality of electronic services offered by a selected group of state-owned banks in Fars province by using BSC and FUZZY logic theory and to give some solutions to improve their services. Therefore, the factors for assessing the electronic services were identified in research literature and were locate in BSC approach according to the experts’ points of view. In view of existence of interaction between BSC dimensions and various aspects of electronic services and in order to understand the significance of factors, the FUZZY ANP technique was implemented. Probing the performance and significance of electronic services’ factors simultaneously, claims that 9 out of 38 final factors are critical. In order to improve the performance of the banks, 20 solutions proposed by the experts were ranked. The ranking was conducted based on the effectiveness of the solutions on improving critical factors using fuzzy TOPSIS techniques. The solution which has been ranked first is the measurement of work progress in accordance with the State Vision Document under a constant and continuous supervision on e-banking projects implementation processes.

Banks have an important role and contribute substantially to the growth and progress of the national economy. Therefore, several researches have been conducted to examine their performance using Data Envelopment Analysis (DEA). However, in most of these researches relatively little attention has been paid to the choice of variables. While changing of input and output variables causes the efficiency scores of decision making units to differ very much, it does also affect the resulting evaluations. Consequently, in this article, the technical efficiency of 10 Iranian commercial and specialized banks will be measured by using a systematic approach called "stepwise DEA". The results of using this approach indicates that the three main variables of the model are: fixed assets, number of employees and partnerships and direct investments. And the three efficient banks were identified.