Wyniki wyszukiwania - BazTech

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Characteristics of the systems of computer modelling and simulation of production processes

Romanowski M., Nadolny K.

Journal of Mechanical and Energy Engineering

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2018

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Vol. 2, No 2

95--100

EN

The article presents an analysis of the possibilities offered by the use of the modelling and simulation method in production management, by presenting its essence, types and examples of production process models. In addition, the article presents the characteristics of computer modelling and simulation systems which help to stream line production processes. The most commonly used programs such as AnyLogic, ShowFlow 2 and Rockwell Arena were described in detail. The concepts of modelling and simulation have been also clarified.

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Zastosowanie sztucznych sieci neuronowych w organizacji procesu produkcyjnego

Kutschenreiter-Praszkiewicz I.

Zarządzanie Przedsiębiorstwem

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2003

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Vol. 6, nr 1

24-29

EN

The paper presents methodology of time standard determination concerned with design and production part of machine. Presented methodology is used to determination of cost and term of process production. This methodology is especially important in medium and small batch production methods in machine industry. Market economy conditions force actions upon enterprises. aiming at quality improvement, production cycle shortening and cost reduction. To reach this goal it's necessary to determine precise operational times, on the base of which we can establish the costs of operations to be carried out. Good organization is determined by extend of using of enterprise resources such as material, human, machine, finance, information. The uses of schedule based on time standard well prepared help to manage the production process. This is especially important in small and medium batch production methods. In these conditions it is necessary to design a lot of different construction. In this situation methods of work measurement based on analytical estimating have greater meaning opposed to conventional ones, which use more time and has a larger cost. Methods of work measurement, known from literature, aren't sufficient. Enterprise aided computer systems need a new fast and easy to use methods of work measurement. Traditional work measurement methods are too difficult and expensive in case of small and medium batch production. Majority of methods of work measurement are useful in case of production task. But a lot of task realized particularly in technical production preparation can't measure easy. This kind of work is characterized by: variable of tasks, no repeatable conditions, long term realization, determined by a lot of factors, a lot of conceptual work. For this kind of job can't use the conventional method of work measurement based on time study. It's necessary to create a new method based on artificial intelligence methods. There are lot of methods considering an artificial intelligence methods. Author used the pattern recognition based on neural network. Those methods characterized by "teach yourself" procedures, considered continuous changes in enterprise. To determine work time standards for composed tasks determined by many conditions we can use the pattern recognition. Pattern recognition consists on allocation of a target to appropriate class. This classification realized use lo neural network. Neural network is based on model of human nerve cell. Neural network opposed to sequence data processing enables parallel data processing. Based on presented model a new method of work measurement has been elaborated. A new method of work measurement may be based on following steps. 1. Definition of purpose of time standards, for example for planning, wages... It does determine the accuracy (confidence interval) of created time standards. In this step important time kinds must be chosen. 2. Definition coefficients determining the labor consumption. Coefficients for design task are for example: use of computer aided calculation in engineering design, use of computer aided drawing in engineering design: novelty level of design problem, complexity level of solved design problem stage of primary documentation, human factor, organizational conditions connected with documentation management, kind of design work. 3. Creation of time grades. All task of design department are classified to particular time grades. One time grade includes tasks of similar labour consumption. 4. Building of database. Create teaching sets containing tasks which were done in the past and which are characterized by coefficient described in step 2. 5. The classifications of new task to grade of set use to for example neural network and determine labour consumption of new one. 6. Use of planned labour consumption to purpose. Example of using neural network to determine time standard. Example of using neural network for lime standard determination based on integration artificial intelligence packet SPHiNX2.3. Neural network enable to determine planned labour-consumption for work, which has not been carried out so far. With the aid of systematic completing of database, definition of labour-consumption will be more precise. There will be taken into consideration changes occurring m enterprise as for example- greater experience of employees, better software and hardware conversion. The first stage connected with elaboration of teaching set is more difficult and more responsible. Correct system's operation depends on quality of data, that's way participation of experts in creating the primary set is necessary. The results can be the base for development and implementation of neural network supporting management of project departments in machine industry.

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Harmonogramowanie produkcji w warunkach zakłoceń, wspomagane systemem eksperckim

Kalinowski K., Knosala R.

Zarządzanie Przedsiębiorstwem

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2003

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Vol. 6, nr 1

12-23

EN

Modern manufacturing processes, which are realized in more complicated and changing environment, require exceptionally efficient organization and coordination of production activities. This paper concentrates on production flow control, which contains actions connected with both production planning and production plan realization. Numerous disturbances that appear in manufacturing are an obstacle to production plan realization. The main purpose of this research is to develop a method of production scheduling in presence of disturbances. The essence of the presented method brings the integration of production planning and control stages. It means that concurrently with the control decision (immediate reaction to disturbance) the production schedule for next operations is modified. Complexity of the problem and requirements of decision making in real time indicate that optimization methods are rarely applied. Therefore, in elaborated method the heuristics algorithms, which represent activities of planners and dispatchers of production system, are applied. The above method provides the basis for the development of the object oriented knowledge and data representation from domain of production flows control, which is applied in the expert system. The "paper" and "electronic" forms were proposed for knowledge acquisition from domain experts, which were used to built the knowledge base of the expert system. The developed method and expert system, which aid production flow control were verified with the use of data three production companies. The research that has been carried out confirms practical utility of the method and its implementation to computer aided production flow control in discrete manufacturing systems. Assumptions and constraints that are made in this paper show the need for further research. The transport of assembly operations should be taken into consideration. Additionally, research will include implementation of the fuzzy sets theory both at knowledge representation and reasoning as well as development of the methods for domain knowledge acquisition.

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Efekt organizacyjny w harmonogramowaniu jako szczególny przypadek zjawiska synergii w organizacji

Słoniec J.

Zarządzanie Przedsiębiorstwem

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2003

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Vol. 6, nr 1

34-42

EN

The article presents a method to calculate licence fees used for brand valuation. The article discusses an algorithm used to calculate cash flow for ex ante evaluation. Sales volume and sales value reflect the strategic goals of a company and their evaluation is of key importance in the method presented, therefore the need for in-depth knowledge of the sector in which a given company operates is stressed, as well as knowledge about the competitiveness of its products and relationships with customers and suppliers alike. The article also discuses a method to calculate licence fees for valuated brands. Models to calculate discount rate are presented and attention is paid to the need to adjust a given model to an established cash flow. Methods to calculate residual value are also reviewed; residual value reflects the value after a given forecast period, when cash flows have stabilized.