2,185 research outputs found
CIM implementation in developed and developing countries
Implementing integrated advanced technologies is an effective approach towards solving most problems in today’s competitive global market Computer Integrated Manufacturing (CIM) technologies are presented as a solution to manufacturing organisations which need to perform well.
This research describes the major issues and problems facing developing countnes that wish to implement CIM. In this investigation, Libya is taken as an example of a developing country, while Ireland is used as a model of a more developed country, which has already implemented components of the CIM technology in some of its industrial companies. This research demonstrates the effect of CIM technology on Irish industry by investigating the cost effectiveness of implementing CIM, reduction of the production time, reduction of the product cost and management efficiency.
To carry out this study, 267 questionnaires were distributed to manufacturing companies in Ireland in order to help establish the status of CIM within manufacturing companies, to study the effect of CIM on Irish industries. To study CIM in Libyan industries, four Libyan companies were investigated to assess the CIM level in their companies and the possibility of implementing CIM technology in Libyan companies as a developing country. The mam findings of this research are that successful implementation of CIM depends on sufficient initial and continued investment from within the country and outside. Furthermore, in order to implement CIM successfully it is vital that there is sufficient expertise and trained workers
An approach to resource modelling in support of the life cycle engineering of enterprise systems
Enterprise modelling can facilitate the design, analysis, control and construction of
contemporary enterprises which can compete in world-wide Product markets. This
research involves a systematic study of enterprise modelling with a particular focus on
resource modelling in support of the life cycle engineering of enterprise systems.
This led to the specification and design of a framework for resource modelling. This
framework was conceived to:
classify resource types;
identify the different functions that resource modelling can support, with respect to
different life phases of enterprise systems;
clarify the relationship between resource models and other modelling perspectives
provide mechanisms which link resource models and other types of models;
identify guidelines for the capture of information - on resources, leading to the
establishment of a set of resource reference models.
The author also designed and implemented a resource modelling tool which conforms
to the principles laid down by the framework. This tool realises important aspects of
the resource modeffing concepts so defined.
Furthermore, two case studies have been carried out. One models a metal cutting
environment, and the other is based on an electronics industry problem area. In this
way, the feasibility of concepts embodied in the framework and the design of the
resource modelling tool has been tested and evaluated.
Following a literature survey and preliminary investigation, the CIMOSA enterprise
modelling and integration methodology was adopted and extended within this
research. Here the resource modelling tool was built by extending SEWOSA (System
Engineering Workbench for Open System Architecture) and utilising the CIMBIOSYS
(CINI-Building Integrated Open SYStems) integrating infrastructure.
The main contributions of the research are that: a framework for resource modelling has been established; means and mechanisms have been proposed, implemented and tested which link and coordinate different modelling perspectives into an unified enterprise model; the mechanisms and resource models generated by this research support each Pfe
phase of systems engineering projects and demonstrate benefits by increasing the
degree to which the derivation process among models is automated
A manufacturing model to support data-driven applications for design and manufacture
This thesis is primarily concerned with conceptual work on the Manufacturing
Model. The Manufacturing Model is an information model which describes the
manufacturing capability of an enterprise. To achieve general applicability, the
model consists of the entities that are relevant and important for any type of
manufacturing firm, namely: manufacturing resources (e.g. machines, tools,
fixtures, machining cells, operators, etc.), manufacturing processes (e.g. injection
moulding, machining processes, etc.) and manufacturing strategies (e.g. how these
resources and processes are used and organized). The Manufacturing Model is a four
level model based on a de—facto standard (i.e. Factory, Shop, Cell, Station) which
represents the functionality of the manufacturing facility of any firm.
In the course of the research, the concept of data—driven applications has emerged in
response to the need of integrated and flexible computer environments for the
support of design and manufacturing activities. These data—driven applications
require the use of different information models to capture and represent the
company's information and knowledge. One of these information models is the
Manufacturing Model.
The value of this research work is highlighted by the use of two case studies, one
related with the representation of a single machining station, and the other, the
representation of a multi-cellular manufacturing facility of a high performance
company
Methodologies for CIM systems integration in small batch manufacturing
This thesis is concerned with identifying the problems and constraints faced by
small batch manufacturing companies during the implementation of Computer
Integrated Manufacturing (CIM). The main aim of this work is to recommend
generic solutions to these problems with particular regard to those constraints
arising because of the need for ClM systems integration involving both new and
existing systems and procedures. The work has involved the application of
modern computer technologies, including suitable hardware and software tools, in
an industrial environment.
Since the research has been undertaken with particular emphasis on the industrial
implementor's viewpoint, it is supported by the results of a two phased
implementation of computer based control systems within the machine shop of a
manufacturing company. This involved the specific implementation of a
Distributed Numerical Control system on a single machine in a group technology
cell of machines followed by the evolution of this system into Cell and Machine
Management Systems to provide a comprehensive decision support and
information distribution facility for the foremen and uperators within the cell. The
work also required the integration of these systems with existing Factory level
manufacturing control and CADCAM functions. Alternative approaches have
been investigated which may have been applicable under differing conditions and
the implications that this specific work has for CIM systems integration in small
batch manufacturing companies evaluated with regard not only to the users within
an industrial company but also the systems suppliers external to the company.
The work has resulted in certain generic contributions to knowledge by
complementing ClM systems integration research with regard to problems
encountered; cost implications; the use of appropriate methodologies including
the role of emerging international standard methods, tools and technologies and
also the importance of 'human integration' when implementing CIM systems in a
real industrial situation
Practical applications of multi-agent systems in electric power systems
The transformation of energy networks from passive to active systems requires the embedding of intelligence within the network. One suitable approach to integrating distributed intelligent systems is multi-agent systems technology, where components of functionality run as autonomous agents capable of interaction through messaging. This provides loose coupling between components that can benefit the complex systems envisioned for the smart grid. This paper reviews the key milestones of demonstrated agent systems in the power industry and considers which aspects of agent design must still be addressed for widespread application of agent technology to occur
Technology transfer from NASA to targeted industries, volume 2
This volume contains the following materials to support Volume 1: (1) Survey of Metal Fabrication Industry in Alabama; (2) Survey of Electronics Manufacturing/Assembly Industry in Alabama; (3) Apparel Modular Manufacturing Simulators; (4) Synopsis of a Stereolithography Project; (5) Transferring Modular Manufacturing Technology to an Apparel Firm; (6) Letters of Support; (7) Fact Sheets; (8) Publications; and (9) One Stop Access to NASA Technology Brochure
DECISION SUPPORT WITHIN KNOWLEDGE-BASED ENGINEERING – A BUSINESS INTELLIGENCE-BASED CONCEPT
Essential characteristics of products are set during early phases of product development as well as manufacturing. During these processes, decisions are made without awareness of their final impacts on long term key success factors. Industrial businesses lack concepts that enable decision-makers within knowledge based engineering processes, to anticipate possible impacts of their decisions. Due to this, many industrial companies employ so called knowledge engineers to manually gather and analyze information of product lifecycles. In order to improve the decision support within knowledge based engineering, a concept was developed, which contains the extension of business intelligence environments with product-orientated data warehouses. It is thus possible to combine technical information of product features with the traditional dimensions of managerial analysis in order to identify impacts of decisions on the product lifecycle and hence support knowledge engineers in their daily work
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