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EN
The problems of control of discreet production processes of mulitiasortment production executed in work cell are discussed in the work. Scheduling problem and analytical and heuristic method for solving then have been analyzed. Because of the complexity of analyzed scheduling problems. belonging to the class NP-hard combinatorial problems, solving heuristic method have been used to find the sequence of works according to the priority rules. This method let to find admissible solution in the case when is not possible to solve scheduling problem in the given time. Many priority rules apply to control the system of multiassortment production are know. These rules haven deference in their efficiency. So it is important to choose the rule that will be most proper and effective, which make possible generation of schedules than maximinized the choiced criterion. To solve the problem, described above. the methodology of computer aiding of production system control has been elaborated. This methodology is used to control the system of small and medium multiassortment series production. In the work is also presented an example of the production control in a manufacturing cell. To schedule production task in that cell the aiding system has been used. The system has been applied to choose the priority rules. Results have been compared with other system for production control. Simulation presented in the work let to state, that elaborated methodology and the computer system work property and confirm the statement in the thesis of the work.
EN
The paper indicates production processes as a significant competitive factor for manufacturing companies. They can be characterized by a set of time related parameters such as a production cycle for the company or for the whole logistic chain, including purchasing of raw materials and distribution chains. Time-based Management and Time-based Competition are time-related strategies for production processes design and improvement. A production process is composed of value-adding operations, non-value-adding operations and operations just creating waste. Kaizen (Continuous Improvement) and re-engineering are tools to be used to improve production processes in a very different way and at the different conditions, which are presented in the paper.
EN
Basic aspects of the dedicated manufacturing systems are presented in the paper. The relation between clients demands and producers possibilities, as a solution of the satisfaction task (no more then, no less then) are given. New proposition of the robust control of the manufacturing system basing on the local priority rules allocation is proposed on behalf of the centralised one. The example of the production order acceptation to the production cell are presented as well.
EN
In the process of the spreading of knowledge about new solutions in production management and adaptation of innovation by given enterprises there are three interdependent domains that are involved: new solutions, suppliers of innovations, and the users. Critical elements in implementation of computerized production management system can be broken into three fundamental categories: technical, date, and personnel. The purpose of this paper is to present such aspects of this later category as change plan, education plan, staff plan and job design, which have close links with people.
EN
It is common opinion that MRP II production control systems are good for manufacturing of discrete type whereas the Just-In-Time method is better for repetitive production. This opinion is based on many qualitative analyses but direct quantitative comparison of their performances, based on simulation of both production control systems applied to the same complex process, is not possible because their decision variables are different. To enable comparison of MRP II with JIT an extension of MRP II system is necessary. An executive planning algorithm is needed to process work orders from MRP II system to execution orders with the same formal Structure as orders coming from JIT system have. It should be an optimal algorithm to be certain that it does not deteriorate MRP II decisions. The paper shows an optimization model of the problem for a repetitive production process in a complex manufacturing system which is composed of production lines. The total cost of setups and inventory holding is minimized.
EN
The traditional, accounting based investment justification methods often fail to measure proper value of Advanced Manufacturing Technology, mainly because of strategic, intangible nature of the benefits involved. The paper examines new approaches to justification such modern systems, namely analytic and strategic appraisal methods. Special attention is given to using Activity-Based Costing (ABC) to justification of integrated production management systems.
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