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Dive into the research topics where Damian Krenczyk is active.

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Featured researches published by Damian Krenczyk.


Applied Mechanics and Materials | 2014

Transient States of Cyclic Production Planning and Control

Damian Krenczyk; Bozena Skolud

The method for determining dispatching rules for transient phases, based on designation of a local dispatching rule for steady state, which determines the rest of its components has been presented in the paper. The algorithm for determining the transient rules has been presented and dependencies resulting from the presented sufficient conditions have been formulated. For the proposed transitional-rules generation algorithm the simulation model has been prepared. Simulation experiments to verify the correctness and effectiveness of the presented method have been conducted. The experiments have been prepared for input data describing the production system and the production order. In the verification process Enterprise Dynamics computer simulation system has been used. The results were compared with the results obtained for transitional phases realized through the S0 state of the production system.


hybrid artificial intelligence systems | 2012

Integration production planning and scheduling systems for determination of transitional phases in repetitive production

Damian Krenczyk; Krzysztof Kalinowski; Cezary Grabowik

In the process of multiassortment repetitive production planning the designation of operating system parameters for the steady state (in which after the last operation the return to the first operation in the sequence of productive resources occurs) is required. The length of steady state of the system is determined by the work of the critical resource. Determination of resources sequence for the steady state gives possibility to determine the processing times for processes in the system without taking into account the transitional phases. During the execution of this type of production, in addition to the phase in which production takes place in the steady state, transition phases connected with starting (start-up phase) and finishing work in the system (cease phase), and the phases associated with the changes in ongoing sequences in steady states can be distinguished. The article presents the problem of estimating the duration of the start-up phase and the cease phase in the concurrent multiassortment production systems, in which access to the resources is regulated by the local dispatching rules. A method and a procedure of creating a schedule for the transition phases using the integration between the systems of production planning and scheduling is presented. The demonstrated approach is illustrated with the examples using KbRS and SWZ systems.


hybrid artificial intelligence systems | 2011

Production Preparation and Order Verification Systems Integration Using Method Based on Data Transformation and Data Mapping

Damian Krenczyk; Bozena Skolud

Fast growth of the SME sector, increasing demands of customers and dynamic market force the producers to lower production costs and to use new IT tools in production. The paper presents method of integration of preparation of production and production planning systems, such as SWZ and PROEDIMS. The system constituted in this process will enable SME entrepreneurs to take correct decisions connected with planning and controlling production. The integration will be achieved by methods of data transformation and data mapping using XML language. Due to this integration PROEDIMS system will be enriched with the module supporting verification of production orders, using constraints satisfaction and depth-first search (DFS) algorithm with backtracking.


Soft Computing | 2015

ERP, APS and Simulation Systems Integration to Support Production Planning and Scheduling

Damian Krenczyk; Mieczysław Jagodziński

The paper presents a method of the integration of ERP and advanced planning and scheduling (APS) systems extended with automatic generators of simulation models. The approach allows the use of simulation and visualization for rapid verification of production plans. Both integration module and model generator use data exchange and data transformation methods. The concept of data-driven modeling also allows to verify the obtained solution in terms of quality of production flow with full visualization of the processes occurring in the system. A practical example of simulation verification of a solution achieved in the APS system, using the method of automatic generation of simulation models has been shown. During the verification phase of the implemented methodology, the IFS Application - ERP system, Production Order Verification System (SWZ) for multi-assortment, concurrent production planning and Enterprise Dynamics simulation system integration have been used.


IOP Conference Series: Materials Science and Engineering | 2015

Multi-assortment rhythmic production planning and control

Bozena Skolud; Damian Krenczyk; Marcin Zemczak

A method for production planning in a repetitive manufacturing system which allows for estimating the possibility of processing work orders in due time is presented. The difference between two approaches are presented; the first one one-piece flow elaborated in Toyota and the second one elaborated by authors that consists in defining sufficient conditions to filter all solutions and providing a set of admissible solutions for both the client and the producer. In the paper attention is focused on the buffer allocation. Illustrative examples are presented.


hybrid artificial intelligence systems | 2012

The hybrid method of knowledge representation in a CAPP knowledge based system

Cezary Grabowik; Damian Krenczyk; Krzysztof Kalinowski

In this paper the hybrid method of manufacturing knowledge representation in the CAPP knowledge based system is presented. In the presented solution the manufacturing knowledge as well as the product design is represented by means of the object method. This paper shows only results obtained at the object design stage (OOD). Currently the scope of decision problems solved by proposed system is limited to axi---symmetric products, but basis on the achievements to date it is thought to develop this system in order to widen the subjected products group. Moreover the detailed description of the inference engine of the CAPP system is given. In the inference engine the two groups of rules were distinguished. In the paper content the examples for each group of rules are shown.


IFAC Proceedings Volumes | 2001

Flow Synchronisation of the Production Systems: The Distributed Control Approach 1

Bozena Skolud; Damian Krenczyk

Abstract The In the paper a concept of production orders rapid prototyping methodology subject to system logistics constraints is considered. The system functioning consists in development of the computer aided planning system for the simultaneous, multi-assortment, repetitive production and integrates the planning and control levels. A problem of a system run-up and cease under distributed control is discussed. The mentioned problem inspires and motivates consideration of the new construction of dispatching rules allocated to the system resources. The procedure of meta-rules construction is proposed. Examples providing verification of different cease of processes realisation are presented.


Applied Mechanics and Materials | 2013

Predictive - Reactive Strategy for Real Time Scheduling of Manufacturing Systems

Krzysztof Kalinowski; Damian Krenczyk; Cezary Grabowik

In this paper a solution of soft real time scheduling in manufacturing systems is presented. The basic requirements of scheduling as a real time system are discussed. The proposed rescheduling method uses predictive-reactive strategy and multi thread searching approach with rule-based heuristics, meta-heuristics and random modules.


Applied Mechanics and Materials | 2015

Simulation Aided Production Planning and Scheduling Using Game Theory Approach

Damian Krenczyk; M Olender

In the paper the concept of using methods and models of the game theory to solve problems in the area of production planning and control is presented. The problems concerning selection of the most favorable routes from given circumstances and for available set of alternative routes in discrete multi-assortment production systems is presented. Considered in this paper the problems related to the allocation of adequate resources to carry out specific production plan of production orders. Combinatorial complexity of those problems is high especially at the operational level. Therefore heuristic or analytical methods are often used in the process of decision support, without indicating the optimum solution. Conducted research in this area are also related to AI methods. The proposed approach in this paper, is based on the game theory in the production planning. The tools of game theory have been used so far mainly in the area of production planning at the levels of strategic and tactical planning. But recently, arises increasingly interest in using game theory in the field of production planning at the operational level. In this case, the player term is replaced with the agent or object term that represents (not the entity or person as it is in the classical approach) production order, production process or package of production orders.


Applied Mechanics and Materials | 2015

Using Discrete-Event Simulation Systems as Support for Production Planning

Damian Krenczyk; M Olender

In the days of fierce competition, rapid changes and new technologies, production, and above all, production planning and control cannot be implemented in isolation to changes in the market. The ability to quickly adjust to changes, being flexible is now essential for high tech companies. One of the key area of production management, that must continuously evolve by searching for new methods and tools for increasing the efficiency of decision-making process is the area of production planning and control. In solving the problems associated with production planning are increasingly used advanced simulation programs. They support the planners, especially in situations related to changes in the assortment, or the introduction of new products into the market. A practical example of using the simulation program for production planning is presented in the paper. It is shown that an advanced simulation program can be an effective tool used in decision making area. The construction of the model, and performed experiments are crucial for enterprises where among other things punctuality and flexibility are the most important elements. A short time for the results of the simulation allows for quick response and, if necessary, make changes to the model by planners to achieve the best results with the given parameters associated with the required to complete the production orders.

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Dive into the Damian Krenczyk's collaboration.

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Bozena Skolud

Silesian University of Technology

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Krzysztof Kalinowski

Silesian University of Technology

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Cezary Grabowik

Silesian University of Technology

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Iwona Paprocka

Silesian University of Technology

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Wojciech M. Kempa

Silesian University of Technology

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M Olender

Silesian University of Technology

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Marcin Zemczak

University of Bielsko-Biała

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A. Dobrzańska-Danikiewicz

Silesian University of Technology

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Grzegorz Ćwikła

Silesian University of Technology

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