Industrial Management Perspective
Year:2016 | Volume:6 | Issue:21 |Papers Count:7

"Rational Decision-Making" is a management topic that argues about decision-making in determined and scientific process especially by "Operation Research". However, using operation research models in public sector has its typical Proponent and an opponent. Moreover, Iran is one the most five countries that has conducted scientific studies about operation research. The study had analyzed twenty-nine case studies reporting different operation research techniques in different governments. The result claims that operation research models have two aspects of managerial effects: Efficiency and Effectiveness. They are efficient in managing public technologies and tools (like distributions technologies etc. ) but their effectiveness on public administration is dubious. Studying these kinds of case studies is appealing and practical for researchers to have a sounder view of the role that operation researches play in public issues.

The study aims to use simulation-based optimization methodology for modeling Automative-wheel rig supply chain. Simulation-based optimization approach consists of both simulation and optimization models that transform information repetitively until stop criterion is fulfilled. Simulation technique is based on system dynamics and optimization comprised of multi objective optimization with the aim of minimizing cost, minimizing cash conversion cycle as well as maximizing inventory turnover for two members of supply chain which is solved by genetics algorithm. Powersim Studio 10 is utilized to combine simulation and optimization models. After using the methodology and acquiring optimal solutions, decision maker chooses the optimal solution based on priority discussed for members. The study claims optimal solutions generated by simulation-based optimization are superior in comparison with scenario making in system dynamics model.

This paper intended to identify and prioritize of Knowledge Management Adaptation Barriers in sanitary ware industries Supply Chain. In the first step these barriers were identified through reviewing literature and by means of Content Validity of the factors-extracted from sanitary ware industries. Then, the inter relationship among the barriers were determined by Interpretive Structural Modeling and Fuzzy MICMAC. Finally, the dependence and driving power of those factors were recognized on each other. According to the results, Lack of top management commitment towards KM adoption in SC, Lack of education and training to SC members and Lack of strategic planning regarding KM adoption in SC have most influences, respectively. This model helps managers to identify the barriers of the industry before applying KM adapting strategies considering a holistic approach so that they can implement the most suitable approach to adapt KM in SC.

Manufacturing strategy for any organization and managers is an important fact, could have a significant impact on organizational success, and could improve the area of expertise within the organization. Considering the importance of this issue, it is clear that the production strategy has a significant role in the competitive situation. Due to the enormous environmental changes, factory production strategies were to quickly change. Most studies in the field of manufacturing. From the other side production strategies focus on content and process of manufacturing strategy and few studies deals with this area. The aim of this study was to provide a taxonomy of manufacturing strategies. To achieve this purpose, a sample of 100 manufacturing plants located in “ Mashhad Industrial Zone” was evaluated. After validity and reliability test of data gatherings tool, we identified four different clusters for manufacturing strategy (each of them emphasized different objectives, through Applying cluster analysis).

Flexible manufacturing system scheduling is one of the most important and practical topics in manufacturing systems scheduling problems which could be affected by many features and subproblems. Considering them in FMS scheduling model in an integrated way leads to a feasible scheduling, and the model will not only be closer to the real settings in FMS environment but also its application in manufacturing systems will increase. This contribution takes into account manufacturing tasks and AGV dispatching scheduling problems simultaneously (in addition involving 2 subproblemsi machine loading, ii part routing problems implicitly). It provided a mathematical nonlinear mixed integer programming model. Having solved the model via Genetic Algorithm leaded to suboptimal solutions. Solving various examples, defining Lower and Upper Bounds and comparing them, demonstrate the quality of the solutions.

In recent years, a growing desire has emerged to use Six Sigma techniques. Six Sigma can win companies to improve quality and reduce expenses in today's competitive world. But the important thing is that this tool should be used in organizations that are prepared; unprepartion for Six Sigma implementation leads to frustration among staff at different organizational levels and finally creates resistance and opposition against the project. The aim of this research is to assess the readiness of companies to provide Six Sigma implementation. For this purpose, first readiness indicators were identified for the implementation of Six Sigma, then to determine the relationship between these indicators interpretative structural modeling was applied. Finnaly through ANP weight of indictors were determined. The results showed that the "leadership and vision", "right choice" and "management improvement process" are more important.

Suppliers play an important role in reducing costs and increasing product quality. Accordingly, assessment and selection of suppliers based on desired criteria, has become one of the fundamental headquarters of decision-making in supply chain management. Since now the suppliers have a significant impact on the success or failure of a company, purchases that previously was considered as a mere tactical tool, now is known as a strategic task. So, considering the importance of the subject, the aim of this study is providing a fuzzy approach in order to select multi-product and multi-purpose supplier and determine the economic order quantity in supply chain. Objectives considered in the above model include minimizing the total cost (including the purchase cost, cost of returned goods, control and order costs), maximizing quality (including the product’ s quality and services provided by suppliers, and maximizing the amount of products received from suppliers on-time. To resolve the above issue, the Lp-Metric and Zimmermann fuzzy approach-due to dealing with uncertainty and getting more flexibility of decision-making-are applied. The results represent the best suppliers to purchase the products from and also optimized allocation to each of them.