860 resultados para 091005 Manufacturing Management


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Advances in data mining have provided techniques for automatically discovering underlying knowledge and extracting useful information from large volumes of data. Data mining offers tools for quick discovery of relationships, patterns and knowledge in large complex databases. Application of data mining to manufacturing is relatively limited mainly because of complexity of manufacturing data. Growing self organizing map (GSOM) algorithm has been proven to be an efficient algorithm to analyze unsupervised DNA data. However, it produced unsatisfactory clustering when used on some large manufacturing data. In this paper a data mining methodology has been proposed using a GSOM tool which was developed using a modified GSOM algorithm. The proposed method is used to generate clusters for good and faulty products from a manufacturing dataset. The clustering quality (CQ) measure proposed in the paper is used to evaluate the performance of the cluster maps. The paper also proposed an automatic identification of variables to find the most probable causative factor(s) that discriminate between good and faulty product by quickly examining the historical manufacturing data. The proposed method offers the manufacturers to smoothen the production flow and improve the quality of the products. Simulation results on small and large manufacturing data show the effectiveness of the proposed method.

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本文从企业生产管理信息系统的现状出发,详细分析了现有信息系统在生产计划管理、生产过程跟踪和系统软件结构方面存在的问题。在此基础上,进一步分析了未来企业对制造信息系统的需求及表现形式,并从信息技术角度研究了构件技术在未来企业制造管理信息系统中的作用,建立了构件技术特征与制造信息系统技术特征之间的映射关系,提出了为实现构件化信息系统所要解决的一些技术问题。

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In China, orgnizational change and downsizing are the primary topics studied in I/O psychology and Human Resource Management. Due to the great need in reality, both theorists and practitioners raised the same questions: Does downsizing increase the organizational performance? What is the relationship between organizational downsizing strategies and survivors' psychological reations? Which factors influence managers' downsizing decision-making most? How can managers manage the process successfully? The purpose of this study is trying to answer these questions, and then to establish the downsizing decision-making model of China's SOE (State owned enterprise) managers. The hypothetical model of SOE managers' downsizing decision-making was put forward, based on a tremendous amount of literature on downsizing decision-making, especially on the downsizing decision-making model built by B. Shaw, and also based on the results of the interviews conducted to the SOE managers who have the downsizing decision-making experiences. In order to test and verify the model, 322 SOE managers were investigated by a questionnaire study. And the statistic results supported the hypothetical downsizing decision-making model. Further, 259 survivors (those who are still working in the SOEs) from 7 downsized SOEs and 1 non-downsizing SOE, were also investigated by a questionnaire study. The statistic results also supported the hypothetical downsizing decision-making model. A subsequent case study was performed upon one downsized SOE; and a deliberate focus group interview study within 6 SOE mangers from another downsized SOE was also conducted. Both fundings from the two studies surported the hypothetical model again. Thus, China's SOE managers' downsizing decision-making model was established. This China's SOE managers' downsizing decision-making model suggests the following: Firstly, the characteristics of managers'downsizing decision-making were the center of the model. Those characteristics displayed during the process of the downsizing decision planning, the participation of downsizing decision-making and the communication concerning downsizing events, were influenced by managers' sense of crisis, controlling factors out of the organization and the managing experience within it. Especially, the latter two factors were more important. Secondly, in downsizing decision-making problems, the perceived crisis of China's SOE managers was mainly influenced by the outer factors, esp. the controlling factors from the government or the high authorities, but not by the inner factors including manufacturing management, HRM skills and organizational competition strategies. Thirdly, survivors'psychological reactions (including job satisfaction, job motivation, team working cooperation, etc) were mainly influenced by the characteristics of the managers' downsizing decision-making, at the same time, also by the outer factors (including controlling and social security factors) and the inner factors (including competition strategy and HRM skills). Finally, according to the model and the results from this study, the conclusions were reached in the followings: The stronger the controlling effort upon the SOE managers, the worse the effect displayed during the downsizing process. And in order to improve the effect and quality of downsizing decision-making, SOE managers need a lot of training to ameliorate their competencies such as competition strategies and HRM skills.

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The competition among companies nowadays, caused by globalization and with customers more and more demanding, makes the companies rethink their strategies for survival. To improve their competition the companies are adopting management tool to improve the manufacturing management, which is considered a key to success. The present study aimed to develop a method, based on techniques of theory of constraints and operational research, to ensure the best use of resources and best decision of a production line on a steel company, with focus in the customers’ delivery time, which is a requirement of the current market. The conclusion of this study is that the correct use of the management tools, such as theory of constraints and operational research, can ensure a long survival for the companies that duel for the market share, especially in regard to customers’ delivery time, that generates their satisfaction

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National Highway Traffic Safety Administration, Washington, D.C.

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This paper looks at the way in which, over recent years, paradigms for manufacturing management have evolved as a result of changing economic and environmental circumstances. The lean production concept, devised during the 1980s, proved robust only until the end of the bubble economy in Japan caused firms to re-examine the underlying principles of the lean production paradigm and redesign their production systems to suit the changing circumstances they were facing. Since that time a plethora of new concepts have emerged, most of which have been based on improving the way that firms are able to respond to the uncertainties of the new environment in which they have found themselves operating. The main question today is whether firms should be agile or adaptable. Both concepts imply a measure of responsiveness, but recent changes in the nature of the uncertainties have heightened the debate about what strategies should be adopted in the future.

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The evolution of the practices and strategies of manufacturing management, over the years, has made many companies realign their production systems in order to raise their competitiveness and operational performance. However, in most cases these changes are made in a heterogeneous manner, which ends up leaving the production system without a defined goal, which may end up damaging the managerial strategies of the organization as a whole. Thus, some organizations seek to use techniques and/or successful production practices used by other companies, believing can be able to reproduce the same results. An efficient production system must be fully planned and appropriate to the strategic objectives of the organization. Thus, this paper aims to identify the manufacturing management strategies adopted in paraibanas industries, as well as identify the lean practices used by them. Thus, a qualitative study was conducted, using as methodological basis the multicase study. Were made: direct observations, semi-structured interviews and questionnaires applied to those responsible by the production sector of the participating companies. As a result, it was possible to identify the type of manufacturing management system adopted by companies. Where it was detected that Company A uses a system of Modern Mass Production with focus on productivity and low cost and the Company B is using Lean Manufacturing system focused on quality and diversity. In the two organizations was possible to realize the application of lean practices where the Company what does not use the LM, possessed lean practices in standard extremely mature of utilization.

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This study analyzes toxic chemical substance management in three U.S. manufacturing sectors from 1991 to 2008. Decomposition analysis applying the logarithmic mean Divisia index is used to analyze changes in toxic chemical substance emissions by the following five factors: cleaner production, end-of-pipe treatment, transfer for further management, mixing of intermediate materials, and production scale. Based on our results, the chemical manufacturing sector reduced toxic chemical substance emissions mainly via end-of-pipe treatment. In the meantime, transfer for further management contributed to the reduction of toxic chemical substance emissions in the metal fabrication industry. This occurred because the environmental business market expanded in the 1990s, and the infrastructure for the recycling of metal and other wastes became more efficient. Cleaner production is the main contributor to toxic chemical reduction in the electrical product industry. This implies that the electrical product industry is successful in developing a more environmentally friendly product design and production process.