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Prof. Iwona Paprocka
Faculty of Mechanical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland

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Research Keywords & Expertise

0 Artificial Intelligence
0 Industry 4.0
0 production scheduling
0 production control
0 metaheuristic

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production scheduling
Predictive scheduling
Maintenance scheduling
Industry 4.0

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Journal article
Published: 27 December 2020 in Applied Sciences
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Production and maintenance tasks apply for access to the same resources. Maintenance-related machine downtime reduces productivity, but the costs incurred due to unplanned machine failures often outweigh the costs associated with predictive maintenance. Costs incurred due to unplanned machine failure include corrective maintenance, reworks, delays in deliveries, breaks in the work of employees and machines. Therefore, scheduling of production and maintenance tasks should be considered jointly. The problem of generating a predictive schedule with given constrains is considered. The objective of the paper is to develop a scheduling method that reflects the operation of the production system and nature of disturbances. The original value of the paper is the development of the method of a basic schedule generation with the application of the Ant Colony Optimisation. A predictive schedule is built by planning the technical inspection of the machine at time of the predicted failure-free time. The numerical simulations are performed for job/flow shop systems.

ACS Style

Iwona Paprocka; Damian Krenczyk; Anna Burduk. The Method of Production Scheduling with Uncertainties Using the Ants Colony Optimisation. Applied Sciences 2020, 11, 171 .

AMA Style

Iwona Paprocka, Damian Krenczyk, Anna Burduk. The Method of Production Scheduling with Uncertainties Using the Ants Colony Optimisation. Applied Sciences. 2020; 11 (1):171.

Chicago/Turabian Style

Iwona Paprocka; Damian Krenczyk; Anna Burduk. 2020. "The Method of Production Scheduling with Uncertainties Using the Ants Colony Optimisation." Applied Sciences 11, no. 1: 171.

Journal article
Published: 27 November 2020 in Sensors
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The method of risk assessment and planning of technical inspections of machines and optimization of production tasks is the main focus of this study. Any unpredicted failure resulted in the production plans no longer being valid, production processes needing to be rescheduled, costs of unused machine production capacity and losses due to the production of poor-quality products increase, as well as additional costs of human resources, equipment, and materials used during the maintenance. The method reflects the operation of the production system and the nature of the disturbances, allowing for the estimation of unknown parameters related to machine reliability. The machine failure frequency was described with the normal distribution truncated to the positive half of the axis. In production practice, this distribution is commonly used to describe the phenomenon of irregularities. The presented method was an extension of the Six Sigma concept for monitoring and continuous control in order to eliminate and prevent various inconsistencies in processes and resulting products. Reliability characteristics were used to develop predictive schedules. Schedules were assessed using the criteria of solution and quality robustness. Estimation methods of parameters describing disturbances were compared for different job shop scheduling problems. The estimation method based on a maximum likelihood approach allowed for more accurate prediction of scheduling problems. The paper presents a practical example of the application of the proposed method for electric steering gears.

ACS Style

Iwona Paprocka; Wojciech M. Kempa; Grzegorz Ćwikła. Predictive Maintenance Scheduling with Failure Rate Described by Truncated Normal Distribution. Sensors 2020, 20, 6787 .

AMA Style

Iwona Paprocka, Wojciech M. Kempa, Grzegorz Ćwikła. Predictive Maintenance Scheduling with Failure Rate Described by Truncated Normal Distribution. Sensors. 2020; 20 (23):6787.

Chicago/Turabian Style

Iwona Paprocka; Wojciech M. Kempa; Grzegorz Ćwikła. 2020. "Predictive Maintenance Scheduling with Failure Rate Described by Truncated Normal Distribution." Sensors 20, no. 23: 6787.

Articles
Published: 19 February 2020 in Engineering Optimization
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The method of maintenance and production task scheduling is proposed to make the production system insensitive to a disruption. The method enables the maintenance of high values of schedule evaluation indicators in variable conditions, such as stability robustness and quality robustness. The frequency of a machine failure is described by the Maxwell distribution. Formulae for different reliability characteristics are given. The parameters of the distribution are estimated using maximum likelihood, empirical moments and a method based on the renewal theory. The advantage of the last method is the ability to achieve accurate predictions of failure-free time of a machine, when there is a lack of complementary and reliable historical data. In the related literature, only the first method is used to estimate unknown parameters of the probability distribution. The methods are applied to job-shop scheduling problems to evaluate their impact on achieving predictive schedules.

ACS Style

Iwona Paprocka; Wojciech M. Kempa; Bożena Skołud. Predictive maintenance scheduling with reliability characteristics depending on the phase of the machine life cycle. Engineering Optimization 2020, 53, 165 -183.

AMA Style

Iwona Paprocka, Wojciech M. Kempa, Bożena Skołud. Predictive maintenance scheduling with reliability characteristics depending on the phase of the machine life cycle. Engineering Optimization. 2020; 53 (1):165-183.

Chicago/Turabian Style

Iwona Paprocka; Wojciech M. Kempa; Bożena Skołud. 2020. "Predictive maintenance scheduling with reliability characteristics depending on the phase of the machine life cycle." Engineering Optimization 53, no. 1: 165-183.

Journal article
Published: 22 December 2018 in Sustainability
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Researchers are searching for opportunities to organize production systems that save energy and natural resources. Preventive maintenance (PM) is essential for the efficient use of machines and energy saving. Any rework due to a machine failure consumes additional energy, human resources, equipment, spare parts and raw materials. Two criteria—quality robustness (QR) and solution robustness (SR)—are used in order to compute the operational efficiency of the production system in the event of disruption. Any cost criterion can be added to the QR in order to measure losses due to a machine failure. The SR criterion measures a number of changes necessary to adopt the production schedule after the machine failure. Two proactive approaches are compared to compute the operational efficiency. In the predictive-reactive approach, the PM time is predicted and a stable schedule is built. In the proactive-reactive approach, a schedule is achieved for the best sequence of idle times between jobs. The influence of disturbance on both schedules using robustness measures is examined. This paper presents the results of computer simulations for the above approaches. The approaches are compared in order to select a better method of production organization that reduces costs and waste due to machine failure.

ACS Style

Iwona Paprocka. Evaluation of the Effects of a Machine Failure on the Robustness of a Job Shop System—Proactive Approaches. Sustainability 2018, 11, 65 .

AMA Style

Iwona Paprocka. Evaluation of the Effects of a Machine Failure on the Robustness of a Job Shop System—Proactive Approaches. Sustainability. 2018; 11 (1):65.

Chicago/Turabian Style

Iwona Paprocka. 2018. "Evaluation of the Effects of a Machine Failure on the Robustness of a Job Shop System—Proactive Approaches." Sustainability 11, no. 1: 65.

Conference paper
Published: 18 September 2018 in IOP Conference Series: Materials Science and Engineering
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In the paper results of the computer simulation of the real production system with Siemens Plant Simulation are shown. The simulation model was built basis on the existing production system. The production system was devoted for a car suspension manufacturing. The purpose of the computer simulation was to get initial information about existing system behaviour and its output. Basis on this initial simulation the four scenarios for the production system improvement were proposed. Each scenario included exactly the one idea of changes in the production system layout organization. The following changes in the production system organisation were proposed, (i) introducing of an industrial robot for servicing of the hardening station, (ii) replacement of the industrial robot by engagement of the two extra production workers for servicing of the hardening station and the heat-treating furnace, (iii) replacement of the industrial robot via introducing of the roller conveyor and engagement of an extra production worker for servicing of the hardening station and the heat-treating furnace, and (iv) introducing of the two roller conveyors for the same purpose. Computer simulations were performed to each scenario in order to examine, how the proposed changes in the production system organisation influence its production efficiency. Having the computer simulation carried out, the comparative analysis of the production system productivity was performed. It made the selection of the best organisational variant possible.

ACS Style

C Grabowik; K Kalinowski; G Cwikla; K Niemiec; Iwona Paprocka. A computer simulation as a tool for a production system analysis and optimization. IOP Conference Series: Materials Science and Engineering 2018, 400, 022033 .

AMA Style

C Grabowik, K Kalinowski, G Cwikla, K Niemiec, Iwona Paprocka. A computer simulation as a tool for a production system analysis and optimization. IOP Conference Series: Materials Science and Engineering. 2018; 400 (2):022033.

Chicago/Turabian Style

C Grabowik; K Kalinowski; G Cwikla; K Niemiec; Iwona Paprocka. 2018. "A computer simulation as a tool for a production system analysis and optimization." IOP Conference Series: Materials Science and Engineering 400, no. 2: 022033.

Conference paper
Published: 18 September 2018 in IOP Conference Series: Materials Science and Engineering
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In the paper results of the design optimisation process for the self-locking moving device using CAD software are shown. As the object of the design optimisation the plier barrier subassembly was selected. The decision about selecting of the plier barrier subassembly as the optimisation object was made taking into account its importance for the device operating and safety. The optimisation process was carried out in Autodesk Inventor software. As a result, a new modified design of the plier barrier was developed. The design was next used for manufacturing of the self-locking moving device prototype. The prototype device was subjected to load mechanical tests in order to check its mechanical strength and the plier barrier clamping force effectiveness. The results of the mechanical tests in the content of the paper are presented in whole. The carried out experiments proved the device correctness of operation. Having these done, the self-locking moving device data sheet was prepared. Taking into account fact that according to The Machinery Directive, Directive 2006/42/EC the self-locking moving device is a machine, it was necessary to perform technical risk assessment. Summarizing up, thanks to performed design optimisation, it was possible to raise the safety level of the device operation, increase the device moving speed and to decrease the overall production costs by simplifying the device design.

ACS Style

C Grabowik; K Kalinowski; D Krenczyk; Iwona Paprocka; W Kempa; K Juszczak. The design optimisation of the self-locking moving device using CAD software. IOP Conference Series: Materials Science and Engineering 2018, 400, 022034 .

AMA Style

C Grabowik, K Kalinowski, D Krenczyk, Iwona Paprocka, W Kempa, K Juszczak. The design optimisation of the self-locking moving device using CAD software. IOP Conference Series: Materials Science and Engineering. 2018; 400 (2):022034.

Chicago/Turabian Style

C Grabowik; K Kalinowski; D Krenczyk; Iwona Paprocka; W Kempa; K Juszczak. 2018. "The design optimisation of the self-locking moving device using CAD software." IOP Conference Series: Materials Science and Engineering 400, no. 2: 022034.

Conference paper
Published: 18 September 2018 in IOP Conference Series: Materials Science and Engineering
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The paper presents the problem of scheduling in flexible manufacturing systems with additional resources consideration. In the developed model, the basic resources e.g. and additional resources - staff, tools, etc. - are assigned to resource groups. The allocation of operations to particular resources is carried out through these groups - by indicating the number of resources needed from a given group. At the scheduling stage, depending on the expected values of beginning and ending of the operation, the most advantageous resource for allocation is selected. Forward and backward scheduling strategies and serial and parallel schedule generation schemes are discussed in this context.

ACS Style

K Kalinowski; D Krenczyk; Iwona Paprocka; W Kempa; C Grabowik. Schedule generation schemes for flexible manufacturing systems with additional resources. IOP Conference Series: Materials Science and Engineering 2018, 400, 062016 .

AMA Style

K Kalinowski, D Krenczyk, Iwona Paprocka, W Kempa, C Grabowik. Schedule generation schemes for flexible manufacturing systems with additional resources. IOP Conference Series: Materials Science and Engineering. 2018; 400 (6):062016.

Chicago/Turabian Style

K Kalinowski; D Krenczyk; Iwona Paprocka; W Kempa; C Grabowik. 2018. "Schedule generation schemes for flexible manufacturing systems with additional resources." IOP Conference Series: Materials Science and Engineering 400, no. 6: 062016.

Conference paper
Published: 18 September 2018 in IOP Conference Series: Materials Science and Engineering
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The paper focuses on the scheduling problem of minimizing flow time of production orders in job shop class systems. The proposed method supports both forward and backward scheduling and use additional backward pass for calculating the latest possible release date of a given production order. Depending on the adopted strategy, two or three stages are implemented in which the new due date and new release date is searched successively for each production order. Application of this approach causes that the scheduling of any order can be realized according to one of five ways. Four decision steps associated with the choice of the right method of order scheduling were distinguished. Examples illustrating the application of the proposed approach for the case of the forward and backward base strategy were also presented.

ACS Style

K Kalinowski; C Grabowik; G Ćwikła; Iwona Paprocka; B Balon. Production orders planning using additional backward pass scheduling approach. IOP Conference Series: Materials Science and Engineering 2018, 400, 062015 .

AMA Style

K Kalinowski, C Grabowik, G Ćwikła, Iwona Paprocka, B Balon. Production orders planning using additional backward pass scheduling approach. IOP Conference Series: Materials Science and Engineering. 2018; 400 (6):062015.

Chicago/Turabian Style

K Kalinowski; C Grabowik; G Ćwikła; Iwona Paprocka; B Balon. 2018. "Production orders planning using additional backward pass scheduling approach." IOP Conference Series: Materials Science and Engineering 400, no. 6: 062015.

Conference paper
Published: 18 September 2018 in IOP Conference Series: Materials Science and Engineering
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In assembly systems, fast information flow, minimal stock, control of an order realization at every stage, efficient work, reduced labor costs, short turnaround time and simultaneous fast material flow are required. In a just-in-time production, the kanban-based supply and control is applied to ensure the above conditions. In the article, principles and conditions of the Kanban system organization are presented. The method of determining the number of Kanban cards, so that the process runs smoothly and continuously is described. The aim of the article is to design the Kanban system for the assembly process of the forklift model. Technological documentation that is required for the assembly of the final element is developed. This documentation includes the process routing sheet, assembly instruction cards of the forklift, technical drawing and list of components. In the assembly instruction cards, photographs are given in order to facilitate the assembly process of products. Three types of the flow of material and Kanban cards are proposed. Then the best flow is selected. For this flow, equipment items (containers for components mainly) are purchased. Kanban cards are designed and the simulation of the Kanban system during the classes with students is carried out.

ACS Style

I Paprocka; C Grabowik; K Kalinowski; G Ćwikła; N Iwaniuk; Piotr Ociepka. The Kanban system for the assembly process of the model of a forklift. IOP Conference Series: Materials Science and Engineering 2018, 400, 022043 .

AMA Style

I Paprocka, C Grabowik, K Kalinowski, G Ćwikła, N Iwaniuk, Piotr Ociepka. The Kanban system for the assembly process of the model of a forklift. IOP Conference Series: Materials Science and Engineering. 2018; 400 (2):022043.

Chicago/Turabian Style

I Paprocka; C Grabowik; K Kalinowski; G Ćwikła; N Iwaniuk; Piotr Ociepka. 2018. "The Kanban system for the assembly process of the model of a forklift." IOP Conference Series: Materials Science and Engineering 400, no. 2: 022043.

Conference paper
Published: 18 September 2018 in IOP Conference Series: Materials Science and Engineering
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Contemporary enterprises forced to compete on the global market actively seek methods that allow improving production processes. This demand resulted in the emergence of RTLS (Real-Time Locating Systems). RTLSs are considered an effective way to identify and track the location of objects in both indoor and outdoor environments. There is no established standard in indoor localisation, thus the selection of an existing system needs to be done based on the type of environment being tracked, the speed, the cost and the accuracy required. The RTLSs differs in terms of the type of technology used, positioning algorithm, accuracy and precision, complexity, scalability, number of tracked objects and costs. The article presents comparison of the most commonly used technologies of indoor real-time location, taking into account its possible applications in production engineering and process improvement. An example of RTLS, based on the UWB technology was also presented. The principles of the system operation, its main features as well as hardware and software components have been described. Preliminary tests of RTLS were also carried out.

ACS Style

G Cwikla; C Grabowik; K Kalinowski; Iwona Paprocka; W Banas. The initial considerations and tests on the use of real time locating system in manufacturing processes improvement. IOP Conference Series: Materials Science and Engineering 2018, 400, 042013 .

AMA Style

G Cwikla, C Grabowik, K Kalinowski, Iwona Paprocka, W Banas. The initial considerations and tests on the use of real time locating system in manufacturing processes improvement. IOP Conference Series: Materials Science and Engineering. 2018; 400 (4):042013.

Chicago/Turabian Style

G Cwikla; C Grabowik; K Kalinowski; Iwona Paprocka; W Banas. 2018. "The initial considerations and tests on the use of real time locating system in manufacturing processes improvement." IOP Conference Series: Materials Science and Engineering 400, no. 4: 042013.

Conference paper
Published: 18 September 2018 in IOP Conference Series: Materials Science and Engineering
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Lately, a great deal of effort has been spent developing methods to generate robust schedules. The Multi-Objective Immune Algorithm (MOIA) is one of the methods dealing with an uncertainty [1]. The basic schedules, obtained by the MOIA, are modified using the rule of the Minimal Impact of Disturbed Operation on the Schedule (MIDOS) in order to generate predictive schedules. If the effect of a disruption is too large, in order to generate reactive schedules, the rule of the Minimal Impact of Rescheduled Operation on the Schedule (MIROS) is applied. This paper is the continuation of the searching process for an algorithm which achieves good quality basic schedules that influence on the quality of predictive and reactive schedules. In [2,3], the two immune algorithms are compared, the MOIA and Clonal Selection Algorithm (CSA) when investigating the influence of basic schedules on the obtainment of stable and robust schedules with the application of the MIDOS and MIROS. The two algorithms are applied for a multi criteria job shop scheduling problem. In this paper, the genetic algorithm (GA) is applied for the same scheduling problem and the achieved schedules are compared.

ACS Style

I Paprocka; C Grabowik; W M Kempa; D Krenczyk; K Kalinowski. The influence of algorithms for basic-schedule generation on the performance of predictive and reactive schedules. IOP Conference Series: Materials Science and Engineering 2018, 400, 022042 .

AMA Style

I Paprocka, C Grabowik, W M Kempa, D Krenczyk, K Kalinowski. The influence of algorithms for basic-schedule generation on the performance of predictive and reactive schedules. IOP Conference Series: Materials Science and Engineering. 2018; 400 (2):022042.

Chicago/Turabian Style

I Paprocka; C Grabowik; W M Kempa; D Krenczyk; K Kalinowski. 2018. "The influence of algorithms for basic-schedule generation on the performance of predictive and reactive schedules." IOP Conference Series: Materials Science and Engineering 400, no. 2: 022042.

Conference paper
Published: 18 September 2018 in IOP Conference Series: Materials Science and Engineering
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The growing popularity of IT tools and interest in the use of modelling and simulation tools in the era of modern manufacturing concepts development, such as the industry 4.0 implies increasing use of computer applications in management and manufacturing. In the problem addressed in this paper, an operation management tools and DES systems integration based on data-driven semi-automatic simulation models generation method is presented. The presented approach allows the use of simulation and visualization for rapid verification of production flow plans. The concept of semi-automated model generator based on data-driven is applied. The approach has been illustrated through examples of practical implementation of the proposed method using FlexSim simulation software.

ACS Style

D Krenczyk; W M Kempa; K Kalinowski; C Grabowik; Iwona Paprocka. Integration of manufacturing operations management tools and discrete event simulation. IOP Conference Series: Materials Science and Engineering 2018, 400, 022037 .

AMA Style

D Krenczyk, W M Kempa, K Kalinowski, C Grabowik, Iwona Paprocka. Integration of manufacturing operations management tools and discrete event simulation. IOP Conference Series: Materials Science and Engineering. 2018; 400 (2):022037.

Chicago/Turabian Style

D Krenczyk; W M Kempa; K Kalinowski; C Grabowik; Iwona Paprocka. 2018. "Integration of manufacturing operations management tools and discrete event simulation." IOP Conference Series: Materials Science and Engineering 400, no. 2: 022037.

Journal article
Published: 15 February 2018 in International Journal of Production Research
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ACS Style

Iwona Paprocka. The model of maintenance planning and production scheduling for maximising robustness. International Journal of Production Research 2018, 57, 4480 -4501.

AMA Style

Iwona Paprocka. The model of maintenance planning and production scheduling for maximising robustness. International Journal of Production Research. 2018; 57 (14):4480-4501.

Chicago/Turabian Style

Iwona Paprocka. 2018. "The model of maintenance planning and production scheduling for maximising robustness." International Journal of Production Research 57, no. 14: 4480-4501.

Conference paper
Published: 05 August 2017 in IOP Conference Series: Materials Science and Engineering
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ACS Style

Grzegorz Ćwikła; Cezary Witold Grabowik; Krzysztof Kalinowski; Iwona Paprocka; Piotr Ociepka. The influence of printing parameters on selected mechanical properties of FDM/FFF 3D-printed parts. IOP Conference Series: Materials Science and Engineering 2017, 227, 1 .

AMA Style

Grzegorz Ćwikła, Cezary Witold Grabowik, Krzysztof Kalinowski, Iwona Paprocka, Piotr Ociepka. The influence of printing parameters on selected mechanical properties of FDM/FFF 3D-printed parts. IOP Conference Series: Materials Science and Engineering. 2017; 227 ():1.

Chicago/Turabian Style

Grzegorz Ćwikła; Cezary Witold Grabowik; Krzysztof Kalinowski; Iwona Paprocka; Piotr Ociepka. 2017. "The influence of printing parameters on selected mechanical properties of FDM/FFF 3D-printed parts." IOP Conference Series: Materials Science and Engineering 227, no. : 1.

Conference paper
Published: 03 July 2017 in MATEC Web of Conferences
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MATEC Web of Conferences, open access proceedings in Materials science, Engineering and Chemistry

ACS Style

Paweł Kogut; Krzysztof Kalinowski; Cezary Witold Grabowik; Grzegorz Ćwikła; Iwona Paprocka. Algorithms of control parameters selection for automation of FDM 3D printing process. MATEC Web of Conferences 2017, 112, 05011 .

AMA Style

Paweł Kogut, Krzysztof Kalinowski, Cezary Witold Grabowik, Grzegorz Ćwikła, Iwona Paprocka. Algorithms of control parameters selection for automation of FDM 3D printing process. MATEC Web of Conferences. 2017; 112 ():05011.

Chicago/Turabian Style

Paweł Kogut; Krzysztof Kalinowski; Cezary Witold Grabowik; Grzegorz Ćwikła; Iwona Paprocka. 2017. "Algorithms of control parameters selection for automation of FDM 3D printing process." MATEC Web of Conferences 112, no. : 05011.

Conference paper
Published: 03 July 2017 in MATEC Web of Conferences
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Increase flexibility of manufacturing requires implementation of effective planning IT tools. Planning and scheduling problems traditionally consider the production resources as the only constraints. Since the raw material and intermediate transferring times are relevant in relation to the production times, it is required to model the material handling equipment and its activities. The problem of scheduling subject to manufacturing and logistical constraints based on data-driven models generation method is presented. A KbRS and FlexSim systems are used as a scheduling tool.

ACS Style

Damian Krenczyk; Wojciech M. Kempa; Krzysztof Kalinowski; Cezary Grabowik; Iwona Paprocka. Production planning and scheduling with material handling using modelling and simulation. MATEC Web of Conferences 2017, 112, 9015 .

AMA Style

Damian Krenczyk, Wojciech M. Kempa, Krzysztof Kalinowski, Cezary Grabowik, Iwona Paprocka. Production planning and scheduling with material handling using modelling and simulation. MATEC Web of Conferences. 2017; 112 ():9015.

Chicago/Turabian Style

Damian Krenczyk; Wojciech M. Kempa; Krzysztof Kalinowski; Cezary Grabowik; Iwona Paprocka. 2017. "Production planning and scheduling with material handling using modelling and simulation." MATEC Web of Conferences 112, no. : 9015.

Conference paper
Published: 03 July 2017 in MATEC Web of Conferences
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MATEC Web of Conferences, open access proceedings in Materials science, Engineering and Chemistry

ACS Style

Krzysztof Kalinowski; Damian Krenczyk; Iwona Paprocka; Wojciech M. Kempa; Cezary Grabowik. Ant colony optimisation for scheduling of flexible job shop with multi-resources requirements. MATEC Web of Conferences 2017, 112, 06018 .

AMA Style

Krzysztof Kalinowski, Damian Krenczyk, Iwona Paprocka, Wojciech M. Kempa, Cezary Grabowik. Ant colony optimisation for scheduling of flexible job shop with multi-resources requirements. MATEC Web of Conferences. 2017; 112 ():06018.

Chicago/Turabian Style

Krzysztof Kalinowski; Damian Krenczyk; Iwona Paprocka; Wojciech M. Kempa; Cezary Grabowik. 2017. "Ant colony optimisation for scheduling of flexible job shop with multi-resources requirements." MATEC Web of Conferences 112, no. : 06018.

Conference paper
Published: 03 July 2017 in MATEC Web of Conferences
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This paper presents a novel approach to a problem of the design feature library elaboration. As a tool of the design feature library development CNC machining cycles were proposed. Because of the great number of commercially available CNC machine controllers, with different CNC machining cycles definitions, it was necessary to make a decision about a research methodological framework, it is the selected CNC machine controller. Taking into account the criterion of popularity as the research framework the selected group of Sinumerik CNC machine controllers was chosen. Presented in the paper idea of the feature library development is based on an assumption saying that it is possible to find a relationship between a particular CNC machining cycle and the simple design feature or even compound design features. Identified, thanks to this assumption, set of the design features could be the base for elaboration of the design feature library. This solution, it is the feature library next gave opportunity for elaboration of the feature based design modelling module (FBDMM) working in the SIEMENS NX system environment. Hence, the FBDMM module can support both a designer and CNC machine programmer which is possible due to received in the module modelling paradigm. In FBDMM module the removal feature based modelling technique is received.

ACS Style

Cezary Grabowik; Damian Krenczyk; Iwona Paprocka; Wojciech Kempa; Krzysztof Kalinowski. An attempt of CNC machining cycle’s application as a tool of the design feature library elaboration. MATEC Web of Conferences 2017, 112, 6019 .

AMA Style

Cezary Grabowik, Damian Krenczyk, Iwona Paprocka, Wojciech Kempa, Krzysztof Kalinowski. An attempt of CNC machining cycle’s application as a tool of the design feature library elaboration. MATEC Web of Conferences. 2017; 112 ():6019.

Chicago/Turabian Style

Cezary Grabowik; Damian Krenczyk; Iwona Paprocka; Wojciech Kempa; Krzysztof Kalinowski. 2017. "An attempt of CNC machining cycle’s application as a tool of the design feature library elaboration." MATEC Web of Conferences 112, no. : 6019.

Conference paper
Published: 03 July 2017 in MATEC Web of Conferences
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MATEC Web of Conferences, open access proceedings in Materials science, Engineering and Chemistry

ACS Style

Cezary Grabowik; Krzysztof Kalinowski; Grzegorz Ćwikła; Iwona Paprocka; Paweł Kogut. Tensile tests of specimens made of selected group of the filament materials manufactured with FDM method. MATEC Web of Conferences 2017, 112, 04017 .

AMA Style

Cezary Grabowik, Krzysztof Kalinowski, Grzegorz Ćwikła, Iwona Paprocka, Paweł Kogut. Tensile tests of specimens made of selected group of the filament materials manufactured with FDM method. MATEC Web of Conferences. 2017; 112 ():04017.

Chicago/Turabian Style

Cezary Grabowik; Krzysztof Kalinowski; Grzegorz Ćwikła; Iwona Paprocka; Paweł Kogut. 2017. "Tensile tests of specimens made of selected group of the filament materials manufactured with FDM method." MATEC Web of Conferences 112, no. : 04017.

Conference paper
Published: 03 July 2017 in MATEC Web of Conferences
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MATEC Web of Conferences, open access proceedings in Materials science, Engineering and Chemistry

ACS Style

Wojciech M. Kempa; Iwona Paprocka; Cezary Witold Grabowik; Krzysztof Kalinowski; Damian Krenczyk. Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine. MATEC Web of Conferences 2017, 112, 05005 .

AMA Style

Wojciech M. Kempa, Iwona Paprocka, Cezary Witold Grabowik, Krzysztof Kalinowski, Damian Krenczyk. Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine. MATEC Web of Conferences. 2017; 112 ():05005.

Chicago/Turabian Style

Wojciech M. Kempa; Iwona Paprocka; Cezary Witold Grabowik; Krzysztof Kalinowski; Damian Krenczyk. 2017. "Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine." MATEC Web of Conferences 112, no. : 05005.