Developing a timetable for radiant and circular transport organization with implementation of the Transportation Requirements Planning method

Summary   This paper contains the results of preliminary research on the use of the Transportation Requirements Planning method to develop a timetable for radial  and circular transport organization. It begins with a discussion on the method of Transportation Requirements Planning. Then the problem of developing a timetable in radial and circular transport is formulated. Successively results obtained by applying of the Transportation Requirements Planning method to develop the timetable under assumed conditions are presented. The summary and discussion of the perspectives for further research are the final part of the paper.

A production control support system based on the concept of an artificial pseudo neural network

PURPOSE: The goal of the paper is to present the concept of a pseudo-neural network developed for production control in an industrial enterprise that produces complex products under discrete production conditions. This paper contains an attempt to use the theoretical basis of artificial neural networks to build a specialized tool. This tool is called a pseudo-network.DESIGN/METHODOLOGY/APPROACH: It is based not on the whole of the theory of artificial neural networks but only on the targeted elements selected for it. The selection criterion is the use of an artificial neural pseudo-network to control production.FINDINGS: The concept of artificial pseudo neural network is fully presented in previous works by the authors.PRACTICAL IMPLICATIONS: The network is part of the production planning and control system. In this system, the network acts as a subsystem responsible for production control. It cooperates with the production planning subsystem from which it periodically downloads the data on production task covering the assortment of manufactured products, production programs of individual assortment items, production start and end dates as well as its updates. In turn, it reports to the production planning subsystem about the progress of the implementation of the launched production task.ORIGINALITY/VALUE: The presented approach is original and can be developed to meet requirements of various production systems. It has both cognitive and utilitarian potential.peer-reviewe

Developing a Timetable for Radiant and Circular Transport Organization with Implementation of the Transportation Requirements Planning Method

This paper contains the results of preliminary research on the use of the Transportation Requirements Planning method to develop a timetable for radial and circular transport organization. It begins with a discussion on the method of Transportation Requirements Planning. Then the problem of developing a timetable in radial and circular transport is formulated. Successively results obtained by applying of the Transportation Requirements Planning method to develop the timetable under assumed conditions are presented. The summary and discussion of the perspectives for further research are the final part of the paper

Sztuczna pseudosieć neuronowa w sterowaniu produkcją

Background: Experience from the implementation of the industry 4.0 concept has proved that the key success factor is the use of techniques and methods of artificial intelligence. One of these techniques is artificial neural networks. The development of artificial neural networks has been taking placefor a long time and has led to a number of important applications of this technique in industrial practice. Along with the development of practical applications, a wide theoretical base has also been created regarding the concepts, tools and principles of using this technique. Methods: This paper contains an attempt to use the theoretical basis of artificial neural networks to build a specialized tool. This tool is called a pseudo-network. It is based not on the whole of the theory of artificial neural networks but only on the targeted elements selected for it. The selection criterion is the use of an artificial neural pseudo-network to control production. Results: The paper presents the assumptions of an artificial neural pseudo-network, the architecture of the developed solution and initial experience of using it. Conclusions: These initial results proved the assumptions made by an author. The architecture of the pseudo-network has been developed. Work to build a system demonstrator representing the artificial neural pseudo-network have been initiated and is still in progress.Wstęp: Doświadczenia z wdrażania koncepcji Industrie 4.0 wskazują, że kluczowym czynniku sukcesu jest stosowanie metod i technik z zakresu sztucznej inteligencji. Jedną z tych technik są sztuczne sieci neuronowe. Rozwój sztucznych sieci neuronowych trwa od długiego czasu i doprowadził do wielu istotnych zastosowań tej techniki w praktyce przemysłowej. Równolegle z rozwojem zastosowań praktycznych stworzona została baza teoretyczna koncepcji, narzędzi i zasad stosowania tej techniki. Metody: Artykuł ten zawiera próbę wykorzystania teoretycznej bazy sztucznych sieci neuronowych do stworzenia specjalnego narzędzia. Nosi ono nazwę sztucznej pseudo-sieci neuronowej. Opiera się ona nie na całości dorobku teorii sztucznych sieci neuronowych ale na celowo wybranych jego elementach. Kryterium doboru było zastosowanie sztucznej pseudo-sieci neuronowej do sterowania produkcji. Wyniki: Artykuł przedstawia założenia do opracowania sztucznej pseudo-sieci neuronowej, architekturę opracowanego rozwiązania i wstępne doświadczenia z prób jego zastosowania. Wnioski: Wstępne wyniki potwierdziły założenia przyjęte przez autora artykułu. Opracowana została architektura sztucznej pseudo-sieci neuronowej. Zapoczątkowane zostały pracy nad budową demonstratora sztucznej pseudo-sieci neuronowej. Prace trwają nadal

Framework of the Architecture of the Communication Process Within Industry 4.0 Oriented Production System

Part 7: Regular Session: Frameworks and Conceptual Modelling for Systems and Services EfficiencyInternational audienceImplementation of the Industry 4.0 concept requires changes on many levels. Implementation of technical solutions (ICT technologies, automation, robotization, AI) entails changes in the organization of processes, as well as in management and communication patterns. The article presents the concept of the IT system architecture supporting communication between the production planner and the production system in the enterprise. The aim was to develop a solution supporting and improving communication between a man and a machine. This area is important for the effectiveness, completeness and quality of information flow and the quality of decisions made on the basis of interpreted feedback. The solution presented in the article was developed as part of the study work on the preparation of the concept of reorganization of the company’s production system during the preparation for the implementation of the Industry 4.0 concept. The analyzed enterprise manufactures single large-size machines. The technologies used include casting, machining and assembly. The analyzed production unit was the machining department, as it was selected as a pilot department for the implementation of Industry 4.0. The developed solution will be exemplary and will be the best practice to be used at the next stages of the implementation of Industry 4.0 in the enterprise

INTEGRATION OF PRODUCTION AND SUPPLY IN THE LEAN MANUFACTURING CONDITIONS ACCORDING TO THE LOT FOR LOT METHOD LOGIC - RESULTS OF RESEARCH

Background: The review of literature and observations of business practice indicate that integration of production and supply is not a well-developed area of science. The author notes that the publications on the integration most often focus on selected detailed aspects and are rather postulative in character. This is accompanied by absence of specific utilitarian solutions (tools) which could be used in business practice. Methods: The research was conducted between 2009 and 2010 in a company in Wielkopolska which operates in the machining sector. The solution of the research problem is based on the author's own concept - the integration model. The cost concept of the solution was built and verified (case study) on the basis of conditions of a given enterprise (industrial data). Results: Partial verifiability of results was proved in the entire set of selected material indexes (although in two cases out of three the costs differences to the disadvantage of the lot-for-lot method were small). In case of structure of studied product range, a significant conformity of results in the order of 67% was achieved for items typically characteristic for the LfL method (group AX). Conclusions: The formulated research problem and the result of its solution (only 6 material items) demand a lot (orthodoxy) in terms of implementation conditions. The concept of the solution has a narrow field of application in the selected organizational conditions (studied enterprise). It should be verified by independent studies of this kind at other enterprises

A Flow-oriented Production Cell in Conditions of Low Technological-Organizational Similarity

This paper presents the concept and methodology for the designing of a “tree-shaped” production line. The concept is a result of the search for production unit organization that meets the Lean Production assumptions, i.e. focusing on lead time (throughput time) shortening with simultaneous ability of use in conditions of varied product range. The varied product range characterized by lower technological-organizational similarity when compared to “Ushaped” units typical for Lean Production. The paper presents an algorithm for the designing of a “tree-shaped” production line and examples of its application. The designed unit underwent evaluation according to the criteria preferred by Lean Manufacturing experts. The designed production unit achieved results confirming the effectiveness of the proposed concept for the analysed sets of input data on the product range and production capacities