Year:2013 | Volume:7 | Issue:22|Papers Count:11

Value added activity and manufacturing policies are challenging issues in business competitive environment. This research intents to investigate and model the supply chain management of manufacturing industry utilizing the strategies of firms, information technology effect and division of tasks in developing countries. The framework proposed will assist the decision makers on areas of outsourcing and criteria’s of successful alignment plans. The effect of firm size and the chain leader strategy on development of collaboration strategy is a function of industry and its competition environment. The alignment strategies proposed elaborates the role of Mother Company and its related SME’s supply network policy management. The alignment model developed indicates different models of collaboration strategy as a fundamental requirement of a factory’s less manufacturing program. The proposed framework indicates that for differentiation, quality focus and differentiation on cost leadership strategy, agile SME should be selected as a partnership direction, while for cost leadership strategy with different theme of quality and differentiation, the cost leader partner is the most appropriate company.

Today, there is increasing emphasis on innovation between large multinationals around the world. Some factors influencing this trend such as the increasing competition, overlapping of industrial boundaries, and shorter cycle of product life have led to the variant trade environment and highlighting innovation in Technological Collaboration. Technological Innovation’s Collaborations (TICs) emphasize on innovation impress as a focal concept in technological collaboration in order to improve innovative capability, change competitors to collaborators, and decrease R&D expenditures. First of all this research has surveyed different related indicators for TIC at petrochemical industry in Iran. Then, each of indicators has been classified and ranked. Having analyzed the literature of TIC along with feedbacks from experts, there are about 20 indicators for TIC in commercial petrochemical company, which have been formed in questionnaire framework. We gathered experts’ opinions by means of these forms. Finally, using some statistical methods like explorative factor analysis and variance analysis, the related indicators were weighted and ranked. These indicators have been ranked based on four dimensions namely characteristics of collaborator, methods of technological collaboration, the size of collaborator’s enterprise, and scientific-research. In this research characteristics of partner are a strong determinant and scored the highest rank. Therefore, learning about the partner with lowest risk and highest efficiency, negotiating with the partner, and developing innovative capabilities are undertaken to make TIC go more flexible and efficient.

Price is not only criterion for assortment in a supplier selection problem, but also a multi criteria decision-making problem (MCDM) including quantitative and qualitative criteria such as price, quality of goods and services, delivery time and etc. Because of inaccurate information to make decisions based on inaccurate information and linguistic terms, these criteria, in the real world, may also be included sub criteria. So close to reality for deciding in these cases, fuzzy sets theory can be used. In this study, researchers have presented an integrated fuzzy TOPSIS and multi choice goal programming approach for the supplier selection as well as the allocation of orders to suppliers. Due to the use of inaccurate and vague information such as linguistic terms, in the first part of model, the combined application of fuzzy set theory and group decision making with TOPSIS was utilized. Using this method of ranking suppliers was paid. In the second part of model suppliers which have been selected in first stage had order allocation with considering problem constraints and using weights that have given from first part.

In recent years, management of organization has faced some new major challenges causing a certain attention to distribution chain and the way of managing it. Although too many models were presented for provision chain in this way, they have not been focused in a unite way and if so, production process was considered in mono-phase manner in which stock of half-made product has not been under attention. In this article, the model accuracy was to be considered by presenting a mathematical model containing two levels for a production organization with multi-phase production process and also by comparing the model outputs with true data received from Nobaft Textile Company. So, the model of the research was designed in two levels of middle-term and short-term which in the first one some goals had been provided for comprehensive programming of buying, production and distribution which can specify optimum condition in a t-day period. Short-period model can specify daily production programs in each phase of production process with the aim of minimizing chain costs and stock of half-made product in various production phases. After presenting model, true data of Nemoune Company was placed in the model and the model was solved using Lingo Software. The results gained from the model, were compared with stocks of half-made product in different stages. The results indicate a significant reduction in half-made products in different sectors of production phases in spite of using the model and as a result the efficiency of the model was approved.

Data envelopment analysis has been built on mathematical programming techniques and is used in calculation of the relative efficiency of homogenous decision making units. Relative performance of each decision unit is the function of its inputs and outputs. But in some real cases we see the unit under investigation was performing different tasks or divided into several different components. In these cases, some inputs are often shared among those components and all components are involved in producing some outputs. Since we cannot have analysis on the inefficiency of component by applying standard DEA model, the performance evaluation of component is proposed which is called MCDEA. This paper evaluates the maintenance unit of Shasi Saz Company-which is the sub division of Bahman group – during 4 periods of 6 months by data envelopment analysis. We used Output Indicators such as OEE, MTBF and MTTR. Also, factors such as labor cost and innovation were considered as an input in performance of each components and overall efficiency in this model. After modeling and evaluation, an efficiency of each component was also determined.

Increasing acceleration of globalization of the economic and tremendous changes in industrial production has created great opportunities and challenges for the industries. To participate in the global economy, global thinking is inevitable and implementation of management and production models in world class is necessary. In today’s competitive world, one of the main concerns of top managers is profitability and acquisition of sustainable results. One of the managerial models that recently and widely used in world class firms is Lean Six Sigma (LSS) methodology. According to the growing use of Lean Six Sigma program in the organizations of country, the factors affecting the success of LSS in order to world class production (critical factors, Support factors and related factors) has been analyzed in this paper. The study sample consisted of top and middle managers in companies active in the household appliances industry in the Esfahan province. The researcher made questionnaire have been used to gather information. In this study, structural equations approach and Amos-18 software have been used to examine three hypotheses: the impact of critical factors on Lean Six Sigma success, the impact of Support factors on Lean Six Sigma success and the impact of related factors on Lean Six Sigma success. According to information obtained through questionnaires and data analysis, all hypotheses were confirmed in 95% confidence level.

Technology has been always connected to society’s progress and never life standards, and economic booms of countries, industries, companies are related to effective managing of technology. Although getting the appropriate benefits from technology effects on the company’s ability to compete, the most important thing is company’s eternity in the market. This research has been prepared to meet the aims of designing a model to transfer technology in the Arak petrochemical industry company and to promote this company’s industrial improvements. One of the most important parts of the technology’s strategy is: How to provide and to achieve the requirements of technology? Since methods of providing technology are various and choosing them depends on many factors, far models of transferring the technology were used and should be mentioned that these models are not enough and you can’t use them as an instruction to find out the best way for technology improvements. Due to the special condition of industry and the facts of the connection, we have to get the best results from this transfer. Defining the research, the concept of technology transferring, models of transferring of technology, and methods of transferring were studied. Studying the effects of changing, and ranking the importance of characters in each section, Khido and Fridman tests were used. Next, using the techniques of chain of commands, team decision making and ranking were performed in ARAK petrochemical company. Finally, a model was offered to meet the appropriate transfer, and suggestions were brought to cover the future researches in this field.

Software industry is one of the development axes in information technology industry; although, Iran, in spite of the industry's prospective base, hasn’t seen the expected growth, and Iran’s portion from the world software trade is negligible. The present study identified, classified and prioritized criteria of policy making of software industry development indicators. Going through background research and insightful interviews with experts, some solutions were identified and classified to develop this industry in Iran. Indices including 33 members of software industry experts prioritized according to the research community. Data were collected with interviews and questionnaires and analyzed by the SPSS statistical software, as well as Friedman test. Results show that, determining unique trustee in software industry is the most powerful strategic guideline. Respecting to international copyright rules and intellectual property have the highest places among policy strategies while revising teaching methods at universities is the next priority to pace the way to grow this industry in Iran.

Various factors could be related to deviant behaviors at workplaces. Among these factors, we can point out to items like job demands, resources and control. This research aims at predicting deviant behaviors through job demands, resources and control. Population of this study includes employees working at South Zagros Gas & Oil Company at Bandar-Abbas in spring and summer 2012 (with frequency of 250 people). 187 employees of this organization selected based on simple random sampling comprise research sample group. Research instruments include job demands questionnaire with 7 items with two subscales including role overload and ambiguity and role conflict. Job resources questionnaire contains 13 items in three subscales containing training and appreciation, supervision support and technological support. On the other hand, job control questionnaire and finally deviant behaviors questionnaire consist of 5 and 9 items respectively. Using hierarchical regression, data obtained by questionnaires are analyzed. Findings indicated that the role overload and ambiguity is placed in the first stage while role overload and ambiguity and role conflict along with training and appreciation are in the second stage. Also, supervision support is positioned in the third stage. Results also show that role overload and ambiguity, training and appreciation and supervision support along with job control have significant predictive power for deviant behavior respectively (p<0.01).

Today, increasing in productivity in industry sector is not only influenced by investment in research and development, but also is encouraged by human capital. Accordingly, the present study shows that total factor productivity in the manufacturing sector depends on domestic expenditure in research and development, investment in research and development partners, human capital and openness of economics. For this purpose, using ARDL methodology, regression models and the time series between years 1980 to 2010, total factor productivity equation was estimated. The results indicate that the cost of investing in domestic industry research is weaker than accumulation of research partners in this sector. Also, the human capital variables and the openness of economics have positive effects on the productivity of the industry. The results of the study suggest that at least a significant share of national production should be allocated for research and development and training of human resources. In addition, since the spillover of research and development in developed countries is higher than developing countries, selecting business partners in future industry should be done with care.

Today, knowledge is the most important key success factor in organization competitiveness. Intellectual properties are the main resources for survival of organizations in nowadays competitive world; therefore, increasing number of companies are investing on knowledge management (KM) and its implementation. The project-oriented organizations undoubtedly have the same situation. Furthermore, these kinds of organizations also have inherent temporariness, short-term oriented, complexity and non-routine activities which make them special. The separation of project team members after reaching the project goals is the biggest barrier for implementing KM. Therefore, project-oriented organizations have many difficulties in KM implementation and KM management. Using the past researches techniques and ISM methodology, in this paper, researchers have tried to identify and rank the critical implementation factors. Results show that management factor has the most determination and persuasive power among other factors. Consequently, it can be the first critical KM implementation factor in project-oriented organization.