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1
Content available remote Reliability estimation for manufacturing processes
EN
Purpose: of the current research is to develop a reliability assessment method with an extension of the existing ones and pooling them to a common framework. The system must identify the most unreliable parts of a production process and suggest the most efficient ways for the reliability improvement. Design/methodology/approach: FMEA is in the centre of the proposed framework,a reliability analysis type, the most widely used in enterprises. The current research suggests to extend the FMEA by introducing a classification of faults. In this procedure, Bayesian Belief Network is employed to analyze faults. Findings: An integrated modelling method based on a system modelling and complemented with a reliability evaluation mechanism has the capability to analyse and design manufacturing systems. The tool developed to analyse a production process, enables companies to analyse the process as a whole as well as its parts and achieve efficient prognosis for the production process reorganization. Research limitations/implications: The reliability analysis framework is developed for machinery manufacturing enterprises. Practical implications: The reliability assessment tool helps engineers quickly and with accurate estimate most unreliable places of production process and indicates ways of their elimination with great efficiency. Originality/value: Expansion of FMEA method, application of Bayesian Belief Network for process reliability estimation, usage of reliability estimation during production route creation.
EN
As many manufacturing companies are changing their production philosophies from a traditional focus on the manufacturing of the physical product towards a focus on the life cycle of the physical product, it is becoming important to engineer product's life cycle. Even more, many industrial researchers of the last decade see product's life cycle prolonging activities as a business opportunity both in economical and environmental ways. As a result, more focus is now put on the use phase and end-of-life phase, including maintenance and remanufacturing. The analysis of current end-of-life practices identifies significant improvements to product design that reduce the impact of manufactured goods on the environment as whole. Life cycle engineering and product take-back is a routine for many large industries and corporations nowadays, but, it is still a big challenge for a small and medium companies. In context of end-of-life strategies implementation, there is a very little experience for smaller firms, and results are often controversial. This paper will touch material processing equipment end-of-life strategies combination perspectives, real-life implementation of them, benefits and consequences. The case study is made on a basis of a lorry that will be transferred into spoil mixing plant.
EN
A project portfolio is referred to as an optimal combination of specified projects to best achieve defined goals of an enterprise. The goals may imply either economic and business strategies, or technical strategies. This paper presents an idea of project portfolio management in intelligent decision support systems (IDSS), which emphasizes on the problem of resource allocation, in particular cash. A rational way of distributing cash among different projects is modeled. We propose a concept of cash-flow dynamics module, which can be plugged into IDSS. The IDSS allows project managers to make decisions regarding the order of priority for projects' launching times based on risk and profitability of projects. This paper describes how this module can support cash-flow management processes, from budgeting for future periods to tracking real-time cash flow. Based on an analogy between cash-flow processes and physical flow of fluid, a cash-flow dynamics model is introduced. The theory of Bernoulli principle for cash-flow planning and tracking is applied.
4
Content available Green manufacturing in machinery industry
EN
Green manufacturing cuts across every aspect of manufacturing including product development, process technologies, energy consumption and material flow. Becoming green can be viewed as a process where we start using more eco-friendly manufacturing resources that have low embedded energy and come from renewable resources. Green Manufacturing covers the whole life cycle of product, from requirements specification, design, manufacturing, and maintenance to final discarding. Green design is the most significant part of product's life cycle. Term "green" means that design should consider the product's impact on the environment and causes minimal pollution. This term includes such important approaches as design for the environment (DFE), design for disassembly (DFD), and design for recycling (DFR). Manufacturers can think about the end-of-life approaches across a wide range of products they use in production processes, for example, different machines, machine-tools, material handling equipment, cranes, etc. The analysis of current end-of-life practices identifies significant improvements to product design that reduce the impact of manufactured goods on the environment as whole. The scope of this paper is to describe possible product's end-of-life strategies on the basis of material handling equipment case study.
5
Content available remote Manufacturing project management in the conglomerate enterprises supported by IDSS
EN
Purpose: of this paper is to summarize the application study of a general framework of intelligent decision support system (IDSS) to collaborative projects in conglomerate enterprises. In some situations, even with the knowledge of how to find right information and which decision making methods to apply, we do not have enough time to make right decisions at the right time. In this paper, the framework of an IDSS system to support real-time collaboration and enable seamless data exchange is presented. Design/methodology/approach: The important roles of facilitation and organization that the IDSS plays are demonstrated. In the case study, examples of manufacturing projects analysis are given with the known methods, including Analytical Hierarchy Process and Bayes’ rule. Findings: It is demonstrated that IDSS systems can help us to manage information flow, clean data, transform data into knowledge, perform analysis and monitor the effectiveness of manufacturing projects during the whole life cycle. Research limitations/implications: The functionality of the developed framework is limited by the willingness of management style and culture changes in companies, as well as the level of interoperability between commercial software components. Only the essential components that influence the success of the manufacturing projects are considered. Practical implications: Project engineers and managers need to adapt to the new IT-based working environment. Originality/value: New information management model and the framework of IDSS system are proposed. The new collaborative decision making system consists of different parts: management of information flow, preparation of data for decision making, and actual decision making and monitoring of manufacturing projects supported by several methods.
6
Content available Decision analysis in project management process
EN
Very often we complain about the decisions that were previously made. Yet the fact is that the decisions made were based on the knowledge we had before. By now we have gained more knowledge. Therefore the common problem of making decisions is that decisions are not made reliable enough because parameters in risk assessment and supply chain management are underestimated or not robust enough. In this paper we propose a framework that will try to predict future situations collectively and increase the reliability of decision making. Project management is the art of making right decision. Project managers are faced by huge array of choices. Decision analysis is used in strategic planning, operational management, and other areas of business. Decision analysis helps companies to determine optimal exploration and production strategies with uncertainties in cost, prices, and exploration prospects. This paper describes project management steps and the way they can be supported by Intelligent Decision Support system (IDSS). The main parameters assessed are total cost of the projects, time of the project total fulfilment, number of subcontractors, location factors, and etc. IDSS will enable to collect data, propose possible alternative decisions, and provide risk assessment.
7
Content available remote IDSS used as a framework for collaborative projects in conglomerate enterprises
EN
Purpose: of this paper is to summarize the application study of the general framework of intelligent decision support system (IDSS) to collaborative projects in conglomerate enterprises. Today's market competition requires project managers to make correct decisions fast. In some situations, even with the knowledge of how to find right information and which decision making methods to apply, people do not have enough time to make right decisions at the right time. In this paper, the frame work of an IDSS system to support real-time collaboration and enable seamless data exchange is presented. The IDSS system is able to support the information flow between internal and external sources. Data are shared, prepared, and streamlined to appropriate analytical tools. A case study of manufacturing projects in a specific European shipbuilding conglomerate is used to illustrate the process and usefullness of IDSS in combination with Enterprise Resource Planning (ERP) systems. Design/methodology/approach: A model of internal and external information flows is proposed for enterprise information management. The important roles of facilitation and organization that the IDSS plays are demonstrated. In the case study examples of manufacturing projects analysis are given with the known methods, including Analytical Hierarchy Process and Bayes Rule. Findings: It was found that IDSS is an essential component to enhance decision makings with complex information flows in large conglomerates. Main conclusions is to show what we will achieve through IDSS systems, to show how perform analysis in logical way. Research limitations/implications: The functionality of the developed framework is limited by the willingness of management style and culture changes in companies, as well as the level of interoperability between commercial software components. Practical implications: Project engineers and managers need to adapt to the new IT-based working environment. Intensive use of software tools may become the major challenge for those who cannot absorb information based on the new format of information presentation. Originality/value: The proposed new information management model and the framework of IDSS system enable ease of data sharing and processing by internal and external stakeholders in decision makings. The collaborative decision making consists of different parts: the management of information flow, the preparation of data for decision making, and actual decision making supported by several methods.
EN
Nowadays, engineering activities are integrated. Design and manufacturing are mutually dependent, so, the concurrent engineering concept was pointed out. Central problem is to model the design and manufacturing entities in understandable way for the system and the user. Manufacturing entities (tools, machine tools, clamping devices, etc.) form the manufacturing environment. Compounding these entities by rules derived from users' experience gives the diversity of technological solutions. One of the tools for modelling is STEP and related language for entity description - EXPRESS. In proposed paper the first results in this field, elaborated in Tallin Technical University will be described. As bases, the interrelation feature-tool will be proposed. By using the expert system the suitable tool for feature forming will be selected and manufacturing plan will be formed by rule based system using selected set of tools for particular part. Examples of manufacturing entities modelling using STEP features will be described.
PL
Działania inżynierskie przestały być czynnościami izolowanymi. Projektowanie i wytwarzanie są ze sobą powiązane, co podkreśla idea inżynierii współbieżnej. Zagadnieniem zasadniczym staje się takie zamodelowanie czynników projektowania i wytwarzania, aby były one zrozumiałe dla systemu i użytkownika. Czynniki wytwórcze (narzędzia, obrabiarki, uchwyty itp.) tworzą środowisko wytwórcze. Połączenie tych czynników przy pomocy reguł wynikających z doświadczenia użytkownika daje całą różnorodność rozwiązań technologicznych. Jednym z narzędzi modelowania jest STEP i związany z nim język opisu czynników - EXPRESS. Niniejszy artykuł przedstawia pierwsze wyniki prac w tej dziedzinie wykonanych w Uniwersytecie Technicznym w Tallinie. Reakcja wzajemna cecha-narzędzie stanowi pojecie podstawowe. System ekspertowy wybiera odpowiednie narzędzie do uzyskania tej cechy. Następnie stworzony zostaje w sposób automatyczny projekt technologiczny wyrobu. Przytoczono konkretne przykłady użycia procedury STEP.
PL
W modelowaniu systemów wytwarzania czynności technologiczne zostały zintegrowane. Kolejne usprawnienia przyniosła inżynieria współbieżna dzięki współzależności projektowania i wytwarzania. Kluczowym problemem okazało się modelowanie jednostek projektowych i produkcyjnych, w sposób zrozumiały dla systemu i użytkownika. Jednostki produkcyjne (narzędzia, obrabiarki, urządzenia mocujące, itd.) tworzą środowisko produkcyjne. Łączenie tych jednostek w całość, według reguł opracowanych na podstawie doświadczenia użytkowników, prowadzi do różnorodnych rozwiązań technologicznych. Jednym z narzędzi modelowania jest STEP i pokrewny język, służący do opisu jednostek - EXPRESS. Artykuł przedstawia pierwsze wyniki badań w tej dziedzinie, prowadzone na Politechnice Tallińskiej. Jako podstawę proponuje się zależność cecha-narzędzie. Za pomocą systemu ekspertowego zostanie wybrane odpowiednie narzędzie kształtowania cechy i będzie opracowany plan wytwarzania, za pomocą systemu opartego na regułach, przy posługiwaniu się wybranym zestawem narzędzi dla danej części. Przedstawione zostaną przykłady modelowania jednostek produkcyjnych przy wykorzystywaniu możliwości STEPu.
EN
Nowadays, engineering activities are integrated. Design and manufacturing are mutually dependent, so, the concurrent engineering concept was pointed out. Central problem is to model the design and manufacturing entities in understandable way for the system and the user. Manufacturing entities (tools, machine tools, clamping devices, etc.) form the manufacturing environment. Compounding these entities by rules derived from users' experience gives the diversity of technological solutions. One of the tools for modelling is STEP and related language for entity description - EXPRESS. In proposed paper the first results in this field, elaborated in Tallinn Technical University will be described. As bases, the interrelation feature - tool will be proposed. By using the expert system the suitable tool for feature forming will be selected and manufacturing plan will be formed by rule based system using selected set of tools for particular part. Examples of manufacturing entities modelling using STEP features will be described.
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