18,852 research outputs found
Data-driven through-life costing to support product lifecycle management solutions in innovative product development
Innovative product usually refers to product that comprises of creativity and new ideas. In the development of such a new product, there is often a lack of historical knowledge and data available to be used to perform cost estimation accurately. This is due to the fact that traditional cost estimation methods are used to predict costs only after a product model has been built, and not at an early design stage when there is little data and information available.
In light of this, original equipment manufacturers are also facing critical challenges of becoming globally competitive and increasing demands from customer for continuous innovation. To alleviate these situations this research has identified a new approach to cost modelling with the inclusion of product lifecycle management solutions to address innovative product development.The aim of this paper, therefore, is to discuss methods of developing an extended-enterprise data-driven through-life cost estimating method for innovative product development
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 deâfacto 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 dataâdriven applications has emerged in
response to the need of integrated and flexible computer environments for the
support of design and manufacturing activities. These dataâdriven 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
Multi Site Coordination using a Multi-Agent System
A new approach of coordination of decisions in a multi site system is
proposed. It is based this approach on a multi-agent concept and on the
principle of distributed network of enterprises. For this purpose, each
enterprise is defined as autonomous and performs simultaneously at the local
and global levels. The basic component of our approach is a so-called Virtual
Enterprise Node (VEN), where the enterprise network is represented as a set of
tiers (like in a product breakdown structure). Within the network, each partner
constitutes a VEN, which is in contact with several customers and suppliers.
Exchanges between the VENs ensure the autonomy of decision, and guarantiee the
consistency of information and material flows. Only two complementary VEN
agents are necessary: one for external interactions, the Negotiator Agent (NA)
and one for the planning of internal decisions, the Planner Agent (PA). If
supply problems occur in the network, two other agents are defined: the Tier
Negotiator Agent (TNA) working at the tier level only and the Supply Chain
Mediator Agent (SCMA) working at the level of the enterprise network. These two
agents are only active when the perturbation occurs. Otherwise, the VENs
process the flow of information alone. With this new approach, managing
enterprise network becomes much more transparent and looks like managing a
simple enterprise in the network. The use of a Multi-Agent System (MAS) allows
physical distribution of the decisional system, and procures a heterarchical
organization structure with a decentralized control that guaranties the
autonomy of each entity and the flexibility of the network
Linking design and manufacturing domains via web-based and enterprise integration technologies
The manufacturing industry faces many challenges such as reducing time-to-market and cutting costs. In order to meet these increasing demands, effective methods are need to support the early product development stages by bridging the gap of communicating early design ideas and the evaluation of manufacturing performance. This paper introduces methods of linking design and manufacturing domains using disparate technologies. The combined technologies include knowledge management supporting for product lifecycle management (PLM) systems, enterprise resource planning (ERP) systems, aggregate process planning systems, workflow management and data exchange formats. A case study has been used to demonstrate the use of these technologies, illustrated by adding manufacturing knowledge to generate alternative early process plan which are in turn used by an ERP system to obtain and optimise a rough-cut capacity plan
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Implementation of virtual manufacturing by a technology licensing company
NoThe paper considers the implementation of a virtual manufacturing system as an alternative to outward technology licensing in a high technology industrial sector. Brief theoretical definition and description of the two strategy options is provided to give background and context. This is followed by empirical material from a longitudinal case study of a company that has developed a virtual manufacturing system in addition to its pre-existing outward technology licensing business stream. A summary account of the company history and development is followed by description of the virtual manufacturing proposal. Analysis of this identified a number of competencies that would be required in order to succeed. The final part of the paper describes the company's response to this analysis and discusses early implementation of the virtual system. It is shown that implementation of the proposal has represented a positive response to the business challenges facing the company
Process improvement in BAe Systems and the wider aerospace sector
Purpose: To research the change management processes used to implement âworld classâ improvements in a major aerospace company, BAE SYSTEMS, and to propose a model for process improvement in the wider aerospace sector. Design/methodology/approach: The research was undertaken as a longitudinal study over a period of five years. A variety of research methodologies were used at various stages of the research including action research and observation. Semi-structured and unstructured interviews were used to gather qualitative data along with documentary evidence of the processes being used. Findings: There are three key findings. Firstly, an understanding of the production stages in the aerospace sector: future project; new product; sustain and return to work. Secondly details of a matrix-based approach and the issues regarding its implementation in a large organisation are discussed. Thirdly, a generic set of principles to aid process improvement in the aerospace sector is proposed. Research limitations/implications: Given that the study is based in one company, there are issues regarding the generalisation of the results. A potential further research project would entail the implementation of the proposed generic principles in another aerospace organisation. Practical implications: For BAE SYSTEMS, this research project aided their understanding of the issues involved in rolling out a process improvement program in a large organisation.Originality/value: Until recently, most of the research into process improvement had either been universalistic or aimed at another type of industry, such as the automotive industry. This research helps to address the specific needs of the aerospace industry
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
Analysis of manufacturing operations using knowledge- Enriched aggregate process planning
Knowledge-Enriched Aggregate Process Planning is concerned with the problem of supporting agile design and manufacture by making process planning feedback integral to the design function. A novel Digital Enterprise Technology framework (Maropoulos 2003) provides the technical context and is the basis for the integration of the methods with existing technologies for enterprise-wide product development. The work is based upon the assertion that, to assure success when developing new products, the technical and qualitative evaluation of process plans must be carried out as early as possible. An intelligent exploration methodology is presented for the technical evaluation of the many alternative manufacturing options which are feasible during the conceptual and embodiment design phases. 'Data resistant' aggregate product, process and resource models are the foundation of these planning methods. From the low-level attributes of these models, aggregate methods to generate suitable alternative process plans and estimate Quality, Cost and Delivery (QCD) have been created. The reliance on QCD metrics in process planning neglects the importance of tacit knowledge that people use to make everyday decisions and express their professional judgement in design. Hence, the research also advances the core aggregate planning theories by developing knowledge-enrichment methods for measuring and analysing qualitative factors as an additional indicator of manufacturing performance, which can be used to compute the potential of a process plan. The application of these methods allows the designer to make a comparative estimation of manufacturability for design alternatives. Ultimately, this research should translate into significant reductions in both design costs and product development time and create synergy between the product design and the manufacturing system that will be used to make it. The efficacy of the methodology was proved through the development of an experimental computer system (called CAPABLE Space) which used real industrial data, from a leading UK satellite manufacturer to validate the industrial benefits and promote the commercial exploitation of the research
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