فصلنامه مدیریت زنجیره تامین
پیاپی 54 (زمستان 1395)

The aim of this research is identify and ranking factors affecting of supply chain performance in the food industry companies. The study population this research are managers and employees some food industry companies located in Shiraz industrial town. The data of collection toolis questionnaire that in Likert scaleby managers and employees of companies distributed and collected. The method used is combination of the two approachesconfirmatory factor analysis and fuzzy TOPSIS. After studying the literature26 factors affecting in supply chain performance was identified, In the first stage with experts opinions of the academic and industry, was identified an important factor 22 through confirmatory factor analysis. In the second stage, from Shannon entropy for gain the importance weight of expert opinions and fuzzy TOPSIS to ranking factors affecting in supply chain performance used. The results of present research showthat factors Supplier selection, Timely delivery of goods, Purchase order cycle time, Power and Quality are the most important factors affecting on supply chain performance in the industry and have higher ranks relative to other factors.

The purpose of this study is identification and barrier analysis for green supply chain management implementation in sirjan's Golgohar using fuzzy topsis technique and fuzzy dematel technique. At first, in this study barriers for green supply chain management are identified through literature and survey with experts and the priority processing is doing with fuzzy topsis technique. This study is including 20 persons of experts. Then, barriers are studied in order to find which of them influences and which of them is impressible. In other word, being cause or affect is determined by fuzzy dematel technique. According to the results we can say the lack of government's support criteria for adopting green supply chain management has reached first grade in priority processing. The lack of awareness of environmental criteria is considered as the most significant cause (influencing criteria) and fear of failure in implementation is considered as the most significant affect (the impressible criteria).

Always allocate man - machine is considered as one of the main concerns of operation planners. Utilize an appropriate using of workforce in situations that the operation is dependent on the capabilities of the workforce, can lead to improve the systems efficiency and productivity indicators. Since these issues, Categories in np-hard problems, so optimization and solving the mathematical model of these problems accurately is complexIn this study, with computer simulation approach, it has been noticed to the issue and based on the collected data and carefully studying the operation flow, with utilizes statistical hypothesis tests, models of operation and processes have been identified. It also with using appropriate non-parametric test, validity of simulation model verified and daily production of various possible options of man - machine allocation via computer simulation model has been compared, so the most suitable option in production and assembly of gas regulators has been introduced. In this approach, the simulation results showed that with choosing appropriate methods of using workforce with 95% confidence level, we can increase daily production to 25%.

Nowadays, the process of knowledge sharing has gone beyond organizational boundaries and the issue of knowledge sharing is discussed widely among different companies and organizations in order to improve their performance. With the emergent of outsourcing process and increasing attention of organizations toward it, managers are more inclined to outsource their services; but, the problem of interaction with outsourcing service providers has always occupied their minds. The purpose of the present study is to investigate the role of knowledge sharing between outsourcing companies and logistic service providers (LSP) in satisfaction with LSP's performance in Guilan Industrial Estates. This paper is completed with the cooperation of 165 company managers in Guilan Industrial Estates which has at least outsourced one of their activities, and has more than 20 personnel. To test the hypothesis, Confirmatory Factor Analysis, and Structural Equation Modeling are used. The results indicate a positive impact of inter-firm knowledge, interactions between relationship and inter-firm knowledge sharing, and communication process on satisfaction. It was also found that inter-firm knowledge sharing has a positive impact on communication processes. However, the effect of interfirm knowledge sharing on inter-firm collaboration, and inter-firm collaboration on satisfaction were not significant.

The purpose of this study is to compare the current production systems, processes and technology of the Volvo trucks Co. and the Renault trucks Co. in the Saipa diesel Co. to analyze the gap between the present and eligible situation and determine priorities for improvement. This study from the viewpoint of goal is applied and from the viewpoint of data collection is non-experimental survey, based on the case study approach. The research population is the experts of Saipa Diesel Company. For sampling, Stratified Sampling method proportionate to the population size based on Krejcie and Morgan table is applied, and finally, 162 people were selected as sample. Information collection method has been in two forms of library study (papers and published domestic and foreign books) and field study via questionnaire. To analyze the data in "production system" and "technology", descriptive and inferential statistics such as Exploratory and Confirmatory Factor Analysis and to prioritize the "process", the analytic hierarchy process (AHP) method are used. The results showed that in production system, "the goals of the production system", has the maximum distance to the desired position. In addition, in the manufacturing, production and logistics process, "procurement of materials and services" sub process and "staff" should be prioritized in the order presented here.

Today the environmental consequences and earth resources unresponsiveness is transformed to the main concern of human. At the same time increasing environmental pollution and its devastating consequences following that, increased consumer and environmental demand for sustainable products and services must try to reduce pollution caused by industrial development in the form of efforts to implement green supply chain. Despite government regulations and increasing public consciousness about the environment, companies that want to survive in the global market cannot ignore environmental issues. This study is to identify the factors affecting a green supply chain establishment in Pardis petrochemical company and then their importance be specified by using fuzzy cognitive map (FCM) and finally indicators be ranked by using fuzzy cognitive mapping (FCM). The results of data analysis showed among the effective indicators on the establishment of green supply chain, reduction (rebate) tax for organizations with green products (0.67), customers push for having green products (0.63) and the adoption of green strategies by competitors (0.59) the highest importance and holding conferences and training classes in the field of environment for employees and managers (0.47) and state environmental laws (0.47), respectively, allocate the least index to own.

In a competitive market, Timely production and speed of response to orders, also flexibility of manufacturing companies to production of various products required by customers is necessary. Production companies to survive in the market, Must be able to deliver their products with the use of all factors of production For this purpose, one of the most challenging factors of production, keeping ready equipment formanufacturing and delivery of orders. For this job,Methods and systems maintenance (CMMS) Are not able to respond to this need. Therefore, it is necessary agility of these systems. One of the most common maintenance strategies in recent decades, is total productive Maintenance (TPM) to Keep ready equipment, as well as Interesting method for organizations. TPM Using the principles and practical elements of availability, Increases equipment reliability. In this research, after identifying and prioritizing all the principles and pillars of TPM and the concepts of agility in the of production organization with experts, and determining the relationships between factors and their impact, their impact on organizational agility ranked by factor Review and Their prioritize.