فصلنامه مهندسی تصمیم
پیاپی 3 (تابستان 1394)

Supply chains have grown rapidly in recent years and only focusing on economic performance to optimize return on investment costs can not be sustainable development in the supply chain. For this purpose, the concepts of green supply chain management and sustainable supply chain management to the importance of social and environmental concerns with economic factors have emerged in supply chain planning. This study seeeks the basic indicators of sustainability in three dimensions (economic, social and environmental), in the supplier's parts industry by using interview and by using fuzzy DEMATEL, systematic pattern provide for effective measures. In the next step, using fuzzy ANP to rank vendors in the company elaborated. According to the results of the three dimensions of sustainability, economically the most influence on both social and environmental considerations. And in the ranking of suppliers, based on weights obtained, ARA company is the best supplier.

The recent study examined the relationship between doing business and dimension of entrepreneurial activities. The method is econometrics and data analysis and test the research hypotheses were done using GLS panel regression analysis. The study sample consists of UN member states 73 these countries were selected as samples. Findings show that the warehouse and trade in compare with other doing business indicators has the most importance. The next important indicator is starting a business. Also tax indicator just influences on new business ownership rate and Necessity-Driven entrepreneurial activity.

The study has tried to provide a model to e-readiness assessment in service organizations. For this purpose, using Grounded Theory and application of software Atlas ti, indicators and e-readiness assessment model of appropriate services and congruent with economic, social and its technology has been developed. The resulting model is evaluated by three experts in the field e-readiness survey was conducted, the experts agreed with each of the components and the proposed framework are announced. Finally, using questionnaires distributed and analytic hierarchy process (AHP) model criteria weight is obtained. The results of the survey show, The resulting model contains the e-readiness of the service provider and E-Readiness target population with different criteria and sub criteria.

The wage determination system in our country is based on bargaining and there is nothing predetermined in it for productivity’s role. An accomplishment of 8 percent growth rate determined in 20 years’ perspective program would be impossible without considering productivity and there exists a direct relationship between increasing productivity and wage payment. In the present research project we have tried to investigate about wage payment system in firms with more than 50 workers in Ardebil province- Iran as a case study and then have proposed a wage model emphasizing at increasing the role of productivity in wage payment. To do so, the data about wages paid in 2014 of 46 firms have been collected by using a questionnaire in Ardebil province. The validity of the questionnaire was studied and approved and also the reliability coefficient was acceptable through the use of Cronbach’s alpha method. The data analyses were carried out by using logistic regression model in STATA 14 software. Regarding the results gained there has not been a positive and meaningful relationship between elements affecting productivity such as education level and also the activity experience and wage payment. A positive and meaningful relationship was observed between wage payment system and constituents of reducing extra work costs, managerial responsibilities, and the presentation of new skills and methods of work and crucial financial posts. Finally a wage model using a linear and functional relationship of the wage with the wage in previous year, annual increase, and skill index was introduced.

In order to grow and improve productivity of organization, it is necessary to identify effective factors and then, based on their importance, appropriate actions to be taken. The aim of this study is determine the factors that directly and indirectly effect on the productivity of labor and wages, simultaneously, and also examine how these two indicators effect on each other. In this context, due to the ability of the bayesian networks to meet the objectives of this research and, metaheuristic algorithm to achieve maximum efficiency while minimal processing, we will discover and evaluate of casual relationships between internal variables (specifically, wages and labor productivity) of Industrial workhouse with 10 and more than 10 employees in 1386, as the latest data available, that include 13239 firms.
The results of the final version of the model that has been tested through a variety of bayesian networks, show that in addition to the wages of employees is a function of value added, productivity is also a function of added value and wages. Effect of value added on labor productivity is about 4 times higher than the impact of the wages of employees on it.

After the past of two decades of lean manufacturing (LM) introduction in Iran, instead comparing this concept with industry as a culture, it is used as tool for improvement. Without doubt, LM as one of the most strong of quality improvement systems is countered by barriers and problems. One of main tasks of top management is identification and ranking the LM barriers for comparison by important barriers. This research identifies the key barriers in successful implementation of LM. Although the country researchers to point some implementation barriers of LM, But they have not studied the total literature of these barriers, also the relationship between barriers and finally ranking of them.
For this purpose, after the literature review and interview with experts of gas industry, 7 barriers (as 7 secondary hypotheses of research) were identified in successful implementation of gas industry, and they were confirmed with validity. Then by distribution and gathering of 170 questioners and using statistical tests (Kolmogorov-Smirnov and mean), the main hypothesis of this research and 7 secondary hypotheses were confirmed. Finally, the relationship between barriers and their ranking were studied using fuzzy DEMATEL model. According to this model and done ranking, a practical program was proposed for comparison by implementation barriers of LM in gas industry.