1,721,178 research outputs found

    Development of a framework to estimate the software obsolescence resolution cost of custom build real-time software.

    Full text link
    Roy, Rajkumar - Associate SupervisorSoftware plays an important role in the defence sector. Almost every project in defence has got software with various degrees of complexity and dependencies. Software obsolescence is one of the key cost drivers which has historically been assessed as part of the maintenance cost due to the lack of data/information and due to the fact that there are no tools, techniques, or framework to help with the software obsolescence management. Therefor it is key for the industry and Defence sector to address software obsolescence and to find an approachable way to counter the effect of software obsolescence. The aim of this research is to develop a software obsolescence cost analysis framework to predict the software obsolescence resolution cost of custom build real time software at early stages of the product life cycle. For the accomplishment of the aim, an extensive literature review on software obsolescence and its related themes was undertaken, a systematic case study with online survey corroborated the findings and revealed the current practices in the UK Defence sector. Further collaboration with 35 experts from industries led to undertaking a cognitive case study to enable the iterative development of Software Obsolescence Cost Analysis Framework. This was demonstrated by applying the framework to five case studies as part of expert validation. The novelty of this research is that it tries to solve an issue with significant real- world impact for which very little work exists with lots of real-world inputs from SME and real case studies. Cognitive case study with software experts is unique and has never attempted before to solve this issue. The research comes up with a novel way to quantify the costs for the very first time with strong input from primary data sources. The key limitation of the research is in the unavailability of any historic technical data.PhD in Manufacturin

    Improvement of cost estimating internal practice.

    Full text link
    This thesis is concerned with understanding the internal costing practices employed by commercial and engineering disciplines of cost estimating for generating estimates at the conceptual design stage of complex hardware products. It examines whether there is a formal structure in the interaction between the two groups that can be represented within a model. The aim is to develop a framework that will formalise and improve the communication of commercial and engineering disciplines in cost estimating. A literature review examines the role of different costing techniques and the information requirements for generating cost estimates. The review identifies that there is a lack of research in the information requirements for cost estimating of specific manufacturing industries, and that the interaction of commercial and engineering disciplines of cost estimating at conceptual design stage is hindered by the different focuses of these groups. By conducting a survey study the author identifies the internal practice in cost estimating for the automotive industry. The survey establishesth at in order to improve the internal practice it is essential to establish a data infrastructure that fortnalises and enables the reuse of the cost estimates and improves the interaction between the two groups. The author identifies a common cost estimating process for the automotive industry. This study establishes the required data and information elements and information sources that need to be collected in order to have reliable data infrastructure. Using a case study approach, the author also establishes that it is essential to analyse the product functions in such a way that will enable the development of a detailed cost estimating model at the conceptual design stage, which will improve interaction between the commercial and engineering groups. The function-based cost estimating process becomes the focus of detailed studies using experts from the automotive industry. This results in a generic framework that provides a formalised structure to represent functional requirements in the form of a detailed cost estimating model. The thesis concludes that product functions need to be captured and analysedd uring the conceptuald evelopmento f a product and be associatedto cost estimates. The developed results provide both groups of cost estimating a structured, consistent approach to developing cost estimates at the conceptual design stage. The data infrastructure and the function-based cost estimating framework is validated through case studies and expert evaluation. The approach contributes towards improvement of the internal cost estimating practice with the automotive industry

    Managing knowledge within the manufacturing enterprise: An overview

    Full text link
    This paper examines the literature relating to manufacturing knowledge and describes how it contributes to the manufacturing enterprise. The review shows that there is a strong emphasis on design in the manufacturing knowledge research domain, and that detailed design is the main focus for current research. An analysis is carried out according to publication date and consequently trends are identified. The design focus is increasing, and the trends show that the domain is driven by industrial applications. The contribution to fundamental research in areas such as knowledge modelling is increasing. Areas that currently have little work in this domain include conceptual design and service

    Estimating the design and development cost of electronic items

    Full text link
    This thesis is concerned with understanding the issues in generating cost estimates at the conceptual design stage for Embedded Systems Design and Development (ES D&D), based on specifications. The research examines if there are any relationships between the system’s specifications and the system’s cost, and if these relationships can be formalised. The aim is to develop a framework that will structure, formalise and improve the ES D&D Cost Estimating process. Literature review examines current situation regarding ES D&D Cost Estimating and the information requirements for generating cost estimates. The review identifies that research concentrates on Embedded Systems manufacturing cost estimation, there is a lack of research regarding D&D cost estimation, as well as on the information requirements for generating D&D cost estimates. By conducting an industrial survey, the author identifies the internal practice on ES D&D Cost Estimating for the automotive and aerospace industries and identifies trends, commonalties and differences within and between them. The survey establishes that in order to improve the ES D&D Cost Estimating process, it is essential to establish a data infrastructure that will avoid issues with shortage of information imposed by suppliers and will link the Embedded System’s specifications with the system’s actual implementation and expected functionality. Using a case study approach, the author also establishes that it is essential to analyse the product functionality in such a way that will enable the development of a detailed cost estimating framework at the specification’s design stage. The framework is developed in three parts for hardware, software and integration and reuse. The ES hardware design and development effort is predicted using a complexity based cost estimating approach. The research has demonstrated that Use Case Points can be used to predict software development effort for ES software development when the specification is expressed as use cases. In case of statechart based specifications, the development effort is predicted, like in the case of Hardware, using a complexity based cost estimating approach. The study then investigates factors that affect Integration and Reuse effort for ES D&D. The Integration and Reuse effort is predicted using a expert judgement based methodology. The developed results provide automotive industry with a structured, consistent approach to develop cost estimates for the ES D&D Cost at the specifications design stage. The approach contributes towards improvement of the cost estimating practice within the automotive industry

    Formalisation and reuse of cost engineering knowledge

    No full text
    This thesis is concerned with understanding the role and utilisation of cost engineering knowledge for generating cost estimates with respect to long life cycle, complex hardware products. lt examines whether there is a formal structure to the reasoning process of experts as they use judgement and whether this process can be represented within a model. The aim is to develop a framework that formalises cost engineering knowledge to facilitate its reuse. A literature review examines the role of expert knowledge and judgement for generating cost estimates. The review identifies that there are mixed views on how knowledge is used and managed. Using an industrial case study approach, the author identifies the cost estimation practices for a new military air system. The study establishes that it is essential to capture assumptions and associated rationale to facilitate knowledge reuse. Experts use an analogy based reasoning process to make judgments and assumptions. The reasoning process became the focus of detailed studies using experts from across industry, resulting in a generic model. The model, known as an inference structure, was implemented within a software tool. This provided a formalised framework to represent, capture, and reuse assumptions and associated rationale. The thesis concludes that assumptions and rationale need to be captured during the development of cost estimates to facilitate knowledge reuse. There is a formal, generic reasoning process that experts use when applying their judgement. The results provide industry with a structured, consistent approach to the formalisation and reuse of cost engineering knowledge. By adopting this approach, companies can develop consistent estimates that will in turn improve decision-making across industry

    Developing a service knowledge reuse framework for engineering design

    No full text
    The manufacturing industry is shifting its emphasis from a traditional supplier of products to a supplier of increasingly integrated products and services, or product-service systems (PSSs). The new paradigm of PSS requires new design methodologies and supporting tools for the effective design and delivery of these enhanced services and integrated PSSs. A case study has been carried out to identify and classify service knowledge applied in practice, both in the service operation and in product design. This paper describes the service issues and service knowledge that has an impact on product design. An initial attempt is made to describe the role of service knowledge in design and also to describe in detail how to apply service knowledge in the conceptual design stage based on an existing requirements management framework modified for this context. This research makes an important contribution to the developing knowledge and information requirements of PSS design

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Service knowledge capture and re-use to support product design

    Full text link
    A significant change is taking place in manufacturing company strategies around the globe. With new monitoring and service methods, new opportunities of product use and service provision emerge. The manufacturing companies once focused on mere product manufacture, now have started to provide ‘systemic solutions’, i.e. products combined with service packages, which are often referred to as Product-Service Systems (PSS). Currently, there is not a well-established feedback mechanism between service and design. The aim of this research is to develop a methodology to capture, represent, and re-use service knowledge to support product design. For the accomplishment of this aim an extensive literature review of the related themes to the research area took place. It was found that the feedback from service to design is fundamental for the enhancement of product performance; however, the existing literature in this area is not adequate. The industrial investigation led to the realisation that there is not an established mechanism in place to show how service knowledge (SK) can be used by designers. An in- depth investigation took place with the collaboration of, in total, four UK manufacturing companies. The author studied both the conceptual and detailed design, focusing on the design requirements (DR) and the design/service features (DF/SF) respectively. The first step was the capture of SK and its representation using Protégé software. Following this, at the conceptual design stage, SK can be re-used through the DR-SK tool. The two main purposes of the tool are the knowledge retrieval by designers, and the identification of gaps in SK. At the detailed design stage, designers can access SK through the DF-SK tool, and the developed knowledge templates. The SKaD framework was created, as a result of the amalgamation among the SKaD methodology, the knowledge templates, and the tools developed to link SK and DR, SF, and DF. Conclusively, the framework was applied on case studies within the pump manufacturing and aerospace industries, and its purpose (to aid designers accessing and re-using SK) was validated by experts within the collaborating organisations. As a result of this research’s findings, the service personnel can capture SK in a structured manner, which can then be re- used by product designers at both the conceptual and detailed design stage
    corecore