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1

Prioritizing and Scheduling of Production Orders in Non-homogenous Production Systems

Skołud Bożena, Szopa Agnieszka, Kalinowski Krzysztof

Management and Production Engineering Review

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2022

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Vol. 13, No. 1

62--75

EN

The aim of the work was to develop a prioritizing and scheduling method to be followed in small and medium-sized companies operating under conditions of non-rhythmic and nonrepeatable production. A system in which make to stock, make to order and engineer to order (MTS, MTO and ETO) tasks are carried out concurrently, referred to as a non-homogenous system, has been considered. Particular types of tasks have different priority indicators. Processes involved in the implementation of these tasks are dependent processes, which compete for access to resources. The work is based on the assumption that the developed procedure should be a universal tool that can be easily used by planners. It should also eliminate the intuitive manner of prioritizing tasks while providing a fast and easy to calculate way of obtaining an answer, i.e. a ready plan or schedule. As orders enter the system on an ongoing basis, the created plan and schedule should enable fast analysis of the result and make it possible to implement subsequent orders appearing in the system. The investigations were based on data from the non-homogenous production system functioning at the Experimental Plant of the Łukasiewicz Research Network – Institute of Ceramics and Building Materials, Refractory Materials Division – ICIMB. The developed procedure includes the following steps: 1 – Initial estimation of resource availability, 2 – MTS tasks planning, 3 – Production system capacity analysis, 4 – ETO tasks planning, 5 – MTO orders planning, 6 – Evaluation of the obtained schedule. The scheduling procedure is supported by KbRS (Knowledge-based Rescheduling System), which has been modified in functional terms for the needs of this work assumption.

2

Basics of the management system for transformations of production planning and control processes

Łopatowska J.

Research in Logistics & Production

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2018

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Vol. 8, No. 4

317--328

EN

Intensive development of technologies, in particular of the spinotronics, nanotechnology, robotics, and ICT, shapes the new generation production systems. Their distinctive feature is the flexibility associated with production intelligence. It is required from all processes, including the production planning and control processes (PPCP). The article is of conceptual character. It was prepared based on literature research. It encompasses issues related to Next Generation Manufacturing Systems, including Intelligent Manufacturing Systems in particular, covering solutions for PPCP. The article was also built upon the results of research on the level of automation of Polish manufacturing enterprises. The research results in the development of general assumptions of an informatic management system for the transformation of PPCP for technologically advanced and organizational production systems. The system has a modular structure resulting from its functions, which include identifying the need for transformation, its goals and vision, planning, design, implementation and evaluation of transformation. It takes the technical, organizational, socio-psychological and economic aspects of transformation into account. Choosing the right solutions for PPCP purposes allows for flexible adaptation to the requirements and needs of the environment. Its essential part is the knowledge database, thanks to which it is possible to shape the system’s intelligence.

3

Robust production programplanning in ramp-up situations

Schuh G., Schürmeyer M.

Research in Logistics & Production

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2013

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Vol. 3, No. 4

255--264

EN

Producing companies are confronted with a growing number of product ramp-ups, since product life cycles are decreasing and product diversity is increasing. Production Planning and Control (PPC) of ramp-up products is particularly challenging, as there is a significant lack of reliable experienced data. The information deficit is exceptionally high for the first step of PPC process, namely Production Program Planning (PPP). The paper in hand proposes an innovative approach of cybernetic PPP that enables companies with numerous ramp-ups to design reliable and fast PPP processes that can react highly adaptable on unpredictable environmental disturbances. The Viable System Model (VSM) is used as frame of reference for the design of PPP processes in line with principles from management cybernetics.

4

Slight PPC systems adaption

Richter M., Potthast J. M.

LogForum

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2009

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Vol. 5, no. 1

1-4

EN

Logistics is a crucial issue for small and medium-sized enterprises (SME). Logistics constantly varying demands on a company require adjustments of its production planning and control systems (PPC systems) to the dynamic changes of supply chains under consideration of the company's work organization. The aim of the project 'PPC adaption' is to develop a simple method for adjusting a company's used PPC system to a constantly changing production and market environment. With the help of this system SME's are able easily to adapt their PPC systems to varying external and internal influences. Regardless of the company's type of PPC system, the result is applicable in every SME's

PL

Konsekwencją niewystarczającego dostosowania systemów planowania i sterowania produkcją (PSP) do dynamiki zmian zachodzących w obrębie łańcuchów dostaw oraz wydziałów produkcyjnych przedsiębiorstw są niestety nie w pełni efektywne systemy sterowania w/w funkcjami. Przyczyną tego stanu rzeczy jest z jednej strony nieznajomość związków przyczynowo-skutkowych, zachodzącymi pomiędzy istotnymi, zewnętrznymi czynnikami zmian i wewnętrznymi parametrami przedsiębiorstwa oraz z drugiej strony zbyt późne wdrażanie rozwiązań dostosowawczych, jak również niezbyt jasno dookreślone kompetencje dla ich wdrażania. Z tego tez względu najważniejszym wyzwaniem w tym zakresie stało się opracowanie metody dla adaptacji systemów PSP do dynamiki zmian, występujących w obrębie łańcuchów dostaw. Dla pokazania relacji pomiędzy sprawczymi czynnikami takiej adaptacji a istniejącymi parametrami wyjściowymi oraz dla identyfikacji możliwych i adekwatnych do potrzeb rozwiązań opracowano standardowy model adaptacyjny. Model ten zawiera metodę oceny potencjalnej możliwości wdrożenia określonych zmian pod względem nakładów i osiąganych korzyści. Schemat organizacyjny funkcjonowania modelu oraz instrukcja postępowania operacyjnego wspierają funkcję optymalnego kształtowania przedsięwzięć organizacyjnych w celu efektywnego dostosowania systemów PSP do relacji zachodzących zarówno w ramach wydziałów przedsiębiorstwa oraz w kontekście przebiegu określonych procesów wewnątrzzakładowych, jak i w obrębie całego łańcucha dostaw

5

Methodology of evaluation of value created in the productive processes

Roszak M. T.

Journal of Achievements in Materials and Manufacturing Engineering

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2008

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Vol. 31, nr 2

810-815

EN

Purpose: Of this paper was to present the methodology of analysis of the productive processes with application of value analysis and multi-criterion-analysis which allow to evaluate the technology and organization of the productive processes. Design/methodology/approach: Presented in the paper methodology of evaluation of the productive processes is based on analysis of activities in the productive processes and their characteristics with reference to created value in the productive chain. Findings: The paper presents elaborated by the author methodology and computer application for application in the chains of the productive processes. Research limitations/implications: Presented methodology allows to evaluate effectivity of the productive chains connecting aspects of the management and economics of the process. Practical implications: Presented methodology was used in analysis of the productive chains and their effectivity, and also as a benchmarking instrument. Originality/value: The paper presents originally elaborated computer application for the value added analysis in the productive chains.

6

Analysis of technological process on the basis of nonmaterials values

Krupińska B., Szewieczek D.

Journal of Achievements in Materials and Manufacturing Engineering

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2008

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Vol. 31, nr 2

786-793

EN

Purpose: What determines the correcttness of industrial company's functiioning on the market is technological process. In order to improve it continuously the priority should be technology, technology management and controlling. Design/methodology/approach: by means of this model one can analyzy the choosen technological processes for the sake of efficiency criteria. They describe following relationships: operation-material, operation-machine, operation-man, operation-technological parameters. Findings: This analisis shows hypothetical technological processes on production of typical pieces for machines. One has also taken into account nonmaterials parameters of technological process. They are resulting from applied sampels and projecting of the technological process. Practical implications: Thanks to the created aplication we can analyze efficiency of technological process in aspect of nonmaterial values. By the use of neural networks we can verify particle indicators of process operation quality, evaluate the process efficiency, which can constitute the optimization basis of particular operation. Originality/value: Data effecting from this analisis allowed to optimize the technological process. They estimate influence of the analyzed parameters on the whole process and optimizethe conducting of any process.

7

Improvement of technological processes by the use of technological efficiency analysis

Krupińska B., Szewieczek D., Dobrzański L. A.

Archives of Materials Science and Engineering

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2007

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Vol. 28, nr 12

751-756

EN

Purpose: Technological process is a basic determinant of correctness of industrial company’s functioning on the market. In this connection they should treat with the priority all activities connected with technology, technology management and controlling, that is with their continuous improvement. Design/methodology/approach: The basis for preparing the process analysis model are the indicators of fragmentary and technological efficiency, as well as standardized parameters of the technological process depending on the applied treatment. Findings: Thanks to the appropriate indicators it is possible to identify operations which need to be verified. Although interdisciplinary process control is very complex, it offers objective assessment. The assessment should include the influence of individual parameters on the process and enable good choice of the optimisation type. Practical implications: The process analysis with the use of immaterial parameters based on different types of processing and the design of the technological process involved assessment of technological process efficiency with the use of indicators of operational efficiency. Originality/value: Creating computer applications for calculating individual indicators, as well as final efficiency assessment used for planning optimisation of individual operations.

8

Software independence: impact on product development plan in automotive industries

Annarumma M., Naddeo A., Pappalardo M.

Journal of Achievements in Materials and Manufacturing Engineering

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2006

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Vol. 18, nr 1-2

431--434

EN

Purpose: Purpose of this paper: Actually, in automotive industries one of the most important activities in product design is the evaluation of various events (i.e. crash events) using FEM simulation; in this context, software independence, that means to obtain the same simulation results on the same car-model using different FEM solvers, will be useful for reducing virtual prototyping time and consequently Time To Market. Design/methodology/approach: Development of a software-indipendence translation method is the aim of this work, which is an input data translation by a methodology independent of the FE calculation environment and allows reducing drastically the product development time. This methodology will be developed writing ad hoc a routine in Matlab language, that carries back in LS-DYNA environment the cards written in RADIOSS environment, helped by TextPad editor and completed by pre-processor Hypermesh. Findings: The translation could be executed using the pre and post-processor Hypermesh and the RADIOSS model card manual correction, but this way to operate increases greatly the Time To Market, although today is the only method used in the most important Italian automotive industry. Research limitations/implications: A Software independence in Virtual Prototyping could help to accelerate several processes. The need to reduce costs and to increase quality is nearly obvious. Practical implications: Most of crash simulation models are developed in RADIOSS environment, but the LS-DYNA environment potentialities exploration has increased the simulations demand using LS-DYNA software; therefore the development of a translation method like that meets this requirement. Originality/value: For product designers, the development of a translation methodology, that allows to carry back in a software environment the Know How developed for another software environment, will be very useful (We’ve to remind that often many design tasks of a project are made in outsourcing way).

9

Zbieranie danych produkcyjnych w przemyśle produkcji pianek poliuretanowych

Chrobot J., Mrzygłód M.

Zarządzanie Przedsiębiorstwem

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2005

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Vol. 8, nr 2

26-36

EN

A reliable and efficient information flow in an industrial company is the bas e for its proper operation. It is very important especially when it is necessary to analyze the progress of order s to be completed. One of essential elements of an enterprise functioning is an organization of registration and storage of production data, which would be used to prepare reports and to analyze the actual state of production. To achieve these, computer aided and integrated systems for manual or automated production data acquisition (PDA) are applied. The basic task for software solutions in the area of enterprise management support is to ensure high quality information, which will be used in decision processes. The expectations of users in this area can be treated as a set of determined features of data collected. Information should be reliable, be essential from the user's point of view, be possible to acquire, be enabled in case of keeping proper response time, ensure access privacy and guarantee a full security in case of system failure, for example through doubling of essential elements of the solution. Production data acquisition includes, apart from technical collection of data, harmonization of the data collected and its evaluation with required organization of enterprise structures. Data from an enterprise is information specific for the company, which is needed for control and supervision of company flows. Production data collection is the part of information system, which encompasses the whole enterprise. The goal of the paper is to describe the detailed solution of computer support for production data acquisition. The idea of production data collection can be applied in enterprises, which produce polyurethane foam (in form of blocks). The system developed collects production data in a relational database and enables in the early version only manual data enter using computer keyboard. An user will have special graphical interfaces at disposal, which will enable to enter as well as viewing the data to be collected. To develop such a PDA system first a requirements analysis, which will include a description of an actual company information flow, next a description of system functions as well as a project of the target database is needed. The paper presents these aspects of establishing a software system for production data acquisition.

10

Metody i techniki komputerowe w przygotowaniu i zarządzaniu produkcją

Chlebus E.

Zarządzanie Produkcją

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1998

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Vol. 1, nr 1-2

16-23

EN

The paper presents general ideas on technologies and tools in production planning and control. Requirements of companies and directions for actions in this area are introduced. General structure and functions of the developed technical production preparation system are presented. Characteristics of modern production are discussed.