Journal of Modern Processes in Manufacturing and Production
Volume:8 Issue: 1, Winter 2019

Competition is the driving force of today's economy and it is vital for organizations to gain competitive advantages. In recent years, outsourcing has been the focus of managers as a tool for developing organizations and improving productivity. This study deals to analyze the outsourcing risks of the supply chain in the automotive industry using fuzzy inference systems. For this purpose, in the first stage, outsourcing risk identified using research literature, then to summarize, a questionnaire is designed and provided to the experts of the automotive industry. Some of the factors were eliminated by experts’ opinion and finally, nine main criteria (preparedness, selectivity, implementation, organizational output, supply, production, distribution and environment risk) and 43 sub-criteria were identified. Then, for each risk, three components of severity, probability and seriousness were measured and performance analysis criteria were identified and weighted by experts in the fuzzy hierarchical process. Research results after prioritizing, show that "inappropriate planning" with the weight of 0.029921 is in the first priority and "production capacity" and "the danger of war" risks with the weight of 0.02964 jointly were in the second priority.  Finally, using a fuzzy inference system, the outsourcing risks in the supply chain of Saipa automotive company is analyzed to get the performance evaluation.

In this research, the effects of the rotational speed, feed rate, tool material and lubricants on the tool life and the hole quality are studied in the frictional drilling of the titanium sheets. The friction drilling tests are performed on a CNC milling machine. Furthermore, 5 specimens are selected and their metallurgical structures are studied. The results show thatamong the input parameters, the rotational speed and feed rate significantly alter the output parameters.Furthermore,the results showed that the best hole quality can be achieved using a WC tool material along with appropriate lubricant. The tool geometry is also an important factor that can excel the produced hole quality and increase the tool life. The metallurgical results also showed that because of the severe plastic deformation of the layers close to the hole surface, the hardness of these layers is higher than that of the other regions in the workpiece.

The purpose of this research is to comprehend the different dimensions of the concept of lean in order to identify activities proportionate to the economic, cultural and organizational conditions in the industrial environment of the country, which regarding them, the position of the focus company was measured in the direction movement of leaning. This research was conducted among 15 experts and managers of Sam Electronics Company, who were selected based on the Simple Random Sampling (SRS) method. To collect data in this research, a questionnaire was used. The effective indicators in the lean production system were ranked and evaluated after identification, utilizing the group decision-making model of the fuzzy network analysis method. The main indicators that were prioritized include; supply chain management (SCM), suppliers, timing production indicators, human resources management indicators, comprehensive quality management, and the indicators of Total Productive Maintenance. The sub-indicators of each of the primary indicators were also identified and prioritized, and according to the results of the research, necessary suggestions were made to move towards leaning and investment improving for each of the indicators.

Tube hydroforming (THF) process is used to produce the complex components from the initial cylindrical tubes. In this paper, T- shape component was formed using a tube hydroforming machine and the residual stresses of hydroformed tube was determined by hole drilling method. Subsequently, the thickness distribution and residual stresses of final tube were investigated using experimental and finite element (FE) methods. The results represented the top of the protrusion has the minimum thickness, whereas the maximum thickness appears in the bottom zone of T-shape tube. The FE results showed that the maximum principal stress in the middle part of piece has own maximum value while the maximum value of minimum principal stress is located in the top of protrusion and the fillet transition region of the protrusion. It is found that the value of residual stress, protrusion height and thickness distribution in simulated results were in good agreement with the experimental results.

In order to survive in today's competitive world, organizations are looking to increase their efficiency and effectiveness. Therefore, they should focus on inputs that are more important than the rest of the inputs in their success. This paper aimed at ranking 7Ms (Management, Man power, Marketing, Material, Machinery, Methods and Money) and their sub-criteria of production in Iran. By improving manufacturing processes, manufacturing organizations create and establish their added value. The Analytic Hierarchy Process (AHP) is a very popular method in decision making process, and its inner dependence extension is used for cases in which criteria or alternatives are not independent enough. In FAHP, each option severity is displayed by fuzzy numbers in relation to criteria. Therefore, a fuzzy judgment matrix is obtained. In this study, Fuzzy AHP tool has been used to rank these inputs. The results are compared with the ideal ranking results and are examined that how different they are.

Data envelopment analysis (DEA) is a nonparametric approach to estimate relative efficiency of Decision Making Units (DMUs). DEA is one of the best quantitative approaches and balanced scorecard (BSC) is one of the best qualitative methods to measure efficiency of an organization. Since simultaneous evaluation of network performance of the quad areas of BSC model is considered as a necessity and separate use of DEA and BSC is not effective and leads to miscalculation of performance, integrated DEA-BSC model is applied. Regarding to multi-objective nature of the proposed model, two techniques including goal programming and weighted average method are used to solve such problems. At the end of the study, based on data relating to indexes of quad areas of BSC model, the results of the mentioned methods are compared. Besides assessing validation of the proposed model, the overall efficiency and each of the different stages of BSC are obtained. So that, finding a model for decision making units in various stages of BSC is the innovation of this research study.