E-commerce has created significant opportunities for the corporations to understand the customers’ expectations, desired values, to increase their satisfaction and to expand their market share, more efficiently. The most significant activity of e-commerce is in the field of e-banking and financial services. Customer satisfaction index is a concept introduced for evaluating of the service quality in electronic banking. Considering the relative importance of customer satisfaction in e-banking, defining scientific criteria for the assessment of mentioned index is very important. So, a scientific and efficient method is always needed. The purpose of this paper is to use the fuzzy data envelopment analysis (DEA) techniques for evaluating and ranking the efficiency of online customer satisfaction index in eight economic banks in Iran. Here, we first study the fuzzy set theory and the method of traditional DEA in the same model. Next, the relationship between them were developed, which provide the fuzzy DEA model with qualitative data. The SPSS and GAMS software package were employed to analyze the data collected through questionnaires. The results show that three economic banks in terms of customer satisfaction in e-banking were located on the efficiency border and were quite efficient.

The present study focused on the Taguchi experimental design technique of Friction Stir Welds of dissimilar aluminum alloys (AA2024-T6 and AA6351-T6) for tensile properties. Effect of process parameters, rotational speed, Traverse speed and axial force, on tensile strength was evaluated. Optimized welding conditions for maximize tensile strength were estimated in order to improve the productivity, weld quality. Non-linear regression mathematical model was developed to correlate the process parameters to tensile strength. The results were verified by conducting the confirmation tests at identified optimum conditions.

Most of the time, the government of the affected country cannot handle the entire relief operations. Under such conditions, international organizations act independently but are obliged to obey the law of the country. In this paper, we propose a dynamic multi-level programming where the affected country and international organizations dynamically change their roles, being leader or follower, according to a game. The application of the proposed model is investigated for a case problem where real data are utilized to design a network for humanitarian logistics during potential earthquakes. The advantages of using multi-level modeling against considering just one player's point of view are provided to guide decision-makers under a variety of conditions. The results show for the first three periods, the gov-ernment of the affected area cannot handle the demand for the rescue operation. Thus, the international suppliers act as the leader for the first three periods. However, by decreasing the demand for the rescue operation in the last three periods, the government can manage the evacuation operation properly.

Export plays an essential role for boosting the economy of developing countries. On the other hand, Small and Medium Enterprises (SMEs) are important part of any economy. Therefore, it is important to determine the effects of various factors influencing on development of export activities. This paper presents an empirical investigation to study the effects of customer segmentation factors on the performance of export activities of SMEs in Iranian food industry. The study selects a sample of 227 people who were involved in development of SMEs in city of Tehran, Iran. The study designs a questionnaire in Likert scale consists of 34 questions, Cronbach alpha and KMO are equal to 0.809 and 0.764, respectively, which are well above the desirable levels. Using principal component analysis, the study has determined that different factors including competitive structure, organizational strategy, customer’s studies and organizational factors influencing the most on promoting export activities.

Advancement of network technology, quick growth of Internet and Internet based solutions lead many firms to apply online processes as well as electronic businesses. Internet based B2B E-C requires applying Internet and affiliated technologies for exchanging products, services and information. Implementation of business to business (B2B) requires long-term commitment of organizations. Carrying out research in this field is regarded as very important issue for recognizing effective factors on successful implementation and execution of B2B and determining current status of organization. This research deals with studying effective critical factors on successful implementation and execution of B2B. Factors are recognized through studying literature review and IT experts. Then, through case study (studying a vehicle manufacturing firm) and by using analytical network process (ANP), the importance of factor and their rank are determined. The factors that are regarded at this research are including: culture, commitment and support of senior management, government support, purposes, organizational strategies, trust, partial advantage and technical infrastructure. Results of research show that support and commitment of senior management are the highest priority factors.

Maintenance Quality Function Deployment (MQFD) is a model, which enhances the synergic power of Quality Function Deployment (QFD) and Total Productive Maintenance (TPM). One of the crucial and important steps during the implementation of MQFD is the determination of the importance or weightages of the critical factors (CF) and sub factors (SF). The CFs and SFs have to be compared precisely for the successful implementation of MQFD. The crisp pair-wise comparison in the conventional Analytical Hierarchy Process (AHP) may be insufficient to determine the degree of weightage of CFs and SFs where vagueness and uncetainties are associated. In this paper, a modification of AHP based MQFD by incorporating fuzzy operations is proposed, which can improve the accuracy of determination of the weightages. A case study showing the applicability of this method is illustrated in this paper.

This study develops an integrated production inventory model from the perspectives of vendor, supplier and buyer. The demand rate is time dependent for the vendor and supplier and buyer assumes the stock dependent demand rate. As per the demand, supplier uses two warehouses (rented and owned) for the storage of excess quantities. Shortages are allowed at the buyer’s part only and the unfulfilled demand is partially backlogged. The effect of imperfect production processes on lot sizing is also considered. This complete model is studied under the effect of inflation. The objective is to minimize the total cost for the system. A solution procedure is developed to find a near optimal solution for the model. A numerical example along with sensitivity analysis is given to illustrate the model.

Lean Manufacturing is being adopted by many Indian industries based on its capability of improving manufacturing performance. Lean Manufacturing supports the concept of delivering the low cost and good quality product to customer by focusing on elimination of waste. Lean Manufacturing employs various elements which aspire to involve the employees to create a customer centric organization. This paper is an attempt to examine the significance of various lean manufacturing elements in Indian industries. Interpretive Structural Modeling (ISM) approach is used to examine their inter-relationship and ranking based on their driving power and dependence powers through development of diagraph and structural model in the Indian industry context.

Six Sigma is a philosophy of unremitting improvement and excellence in all aspects. The concept is a satisfactory modification process tool through customers, continuous improvement and stakeholder participation. Six Sigma is considered as statistical analysis, assessment scales and customer-oriented production accomplishments and it leads to defect production reduction. This paper recommends an approach to select Six Sigma projects using fuzzy multiple attribute decision making techniques composed with another concoction tool. Through insightful quarrying of literature, rudimentary criteria for selecting Six Sigma projects were revealed. The fundamental criteria were identified consuming the fuzzy hypothesis test. Having identified the most indispensable criteria, the weight of criteria were determined. Appling FANP techniques. Having calculated the weights pertinent to criteria through three methods, SAW, TOPSIS, and Fuzzy VIKOR, Six Sigma projects were introduced and prioritized. Applying the three methods engendered various results, which required the application of an amalgamation technique, entitled as Borda and it helped to clarify the final project rate.

The aim of present study is to explore the relationship between various styles of conflict management and organizational agility in Ilam state university. The study is quantitative one, having developmental orientation and comparative approach, which applies the strategy of survey research with an aim of exploration and description. It is implemented as single point and utilizes questionnaire as data collecting tool. The population and sample of the study include 425 and 205 individuals, respectively. The sample size is determined through Cochran’s formula and random sampling method has been used for sampling. In order to perform the data analysis, descriptive and inferential statistics as well as Spearman and Kendall test in SPSS were utilized. The results of the study reveal that there was a positive and significant relationship among four styles of conflict management (avoiding, forcing, compromising, and yielding), however there was no significant relationship between integrating conflict management and organizational agility.