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Developing of Capacity Analysis Method
1-19Views:334Capacity planning is strategic significance in companies’ life. The strategic of capacity enlarging in fluencies the competitiveness of companies. There are several method for determination of long-term capacity from simple ones to expensive, high calculation requiring processes. We have to rearrange the production for the increasing demand, it is not so simple because it needs some investments. We must scrutinize that is it worth for us? The aim of this study is to investigate whether capacity enlarging is going to be realizable without investments only the eliminate of waste. In this method needs exact determine of the current capacity so we use modified, extended capacity model. In this model we consider the availability, quality and efficiency of the machine more over we observe the effect of the service program of the machine.
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Quality Development of a New Type Pharmaceutical Formulation
112-127Views:228The aims of companies to understand internal and external customer demands in order to improve their existing products and develop new ones. Product development aims at understanding customer demands that may influence the production of the product to be manufactured. As a first step in the process, the customer voice method was used to define demands with measurable parameters. A questionnaire survey was used to prioritise them, which were then compared and ranked using a preference matrix. Within the QFD method, technical parameters influencing the satisfaction of customer demands were determined. A correlation matrix was established and the relationship between the technical parameters was investigated. A competition analysis of technical parameters and customer demands was carried out. From the absolute and relative weights, it is easy to establish the order of the technical parameters, so that the most important parameter in terms of meeting the defined customer demands is the determination of the ratio of raw materials, and important parameters are chemical stability, pharmaceutical formulation and particle size.
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Optimization of Automotive Industry’s Manufacturing Process with Lean Tools
81-89Views:381Lean plays i mportant role in industrial environment. Automotive industries use lean tools in order to reduce cost and i mprove productivity. To achieve the company's objectives and so lve the detected problems I also used lean tools. By using lean tools we want to decrease total process cost (TPC). In order to achieve this target, the three-shift production has to reduce in two-shift production, which result decrease in the human resource costs and production costs. In order to reduce shifts we have to increase overall equipment efficiency (OEE) and eliminate minimum 50% of wastes by implementing 5s methodology, using Poka-yoke and scheduled maintenance.
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Role of Lean and Agile Supply Chain Models for Pellet Fuel Technologies
119-130Views:160Business organisations constantly strive to improve their processes, both internal and external. Within the supply chain of a product, different strategies can be applied. This paper aims to answer the basic questions like what is the core of lean and agile SCM strategies, what are the differences of the two models, and how can they be combined. This paper examines further, which of these SCM models and what elements of them can be applied for wood pellet supply chains, also examining the possibility of their combination. The result of these examinations is, that even though fuel pellets can be considered as simple commodity and not a very innovative product, diversity in input characteristics, optimization of fuel pellet technology process variables and changes in output market qualities and quantities need sometimes agile, flexible answer from pellet fuel SCM. The basically lean character of pellet fuel technologies and SCM can further enhanced by implementing agile SCM model elements, as is the increased integration of suppliers into the supply chain.
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Model Calculations on the Use of Mobile and Stationary Units for Wood Pellet Production
1-8Views:332This paper presents the model calculations made for supporting the decision making of different technology alternatives. Base cases were A) use of a mobile pelletizer and B) using pellet factories at fixed locations for the production of a new product, sheep wool pellets. Calculations were made for three alternatives for each base case. The results of the model were used to examine the energy, time and cost criteria of the alternatives. Based on the given preliminaries, results of the model calculations supported the recommendation to choose case B) for further technology management and supply chain management decisions.
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Business Process Development with the Application of Simulation Technique
109-118Views:165The object of our work to increase production efficiency with the use of cost-efficient development tools at a Hungarian small enterprise. We apply data gathering techniques besides process modelling and diagnostic methods to reduce the total process time of the assembly process so as to induce cost reduction in the production. In this respect we investigate and rank root causes of wastes by cost-effective process development tools, like timebased FMEA (failure mode and effects analysis) as well as the 5 whys method. With the use of Monte-Carlo simulation companies can evaluate the change in the process, therefore, they can decide whether they want to carry out corrective measures or not. The accomplished changes can generate increasing competitive edge in the long run.
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Analysis of Activity Times in the Process of a Wooden Box Manufacturing
475-484Views:136The main target of companies is to earn money and achieve profit. In order to fulfil these needs, companies have to reduce their costs. Cost reduction is often associated with bad quality products, but it could be done in a different way. Sometimes it is enough to examine only their own processes and then benefit from the process optimization, process improvement or process scheduling. In this article a case study is presented, in which the differences in a production scheduling are evaluated with the application of Monte-Carlo simulation and descriptive statistics. At the end of the paper the most efficient material sequence is selected at the manufacturing company by using weighted sum model