The Development of a Hybrid Knowledge-Based System for Designing a Low Volume Automotive Manufacturing Environment. The Development of A Hybrid Knowledge-Based (KB)/Gauging Absences of Pre-Requisites (GAP)/Analytic Hierarchy Process (AHP) System for the Design and Implementation of a Low Volume Automotive Manufacturing (LVAM) Environment.
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SupervisorKhan, M. Khurshid
KeywordLow Volume Automotive Manufacturing (LVAM)
Gauging Absences of Pre-requisites (GAP)
Analytic Hierarchy Process (AHP)
Niche car model manufacturing
Knowledge based (KB)
The University of Bradford theses are licenced under a Creative Commons Licence.
InstitutionUniversity of Bradford
DepartmentSchool of Engineering, Design and Technology
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AbstractThe product development process for the automotive industry is normally complicated, lengthy, expensive, and risky. Hence, a study on a new concept for Low Volume Automotive Manufacturing (LVAM), used for niche car models manufacturing, is proposed to overcome this issue. The development of a hybrid Knowledge Based (KB) System, which is a blend of KB System, Gauging Absences of Pre-requisites (GAP), and Analytic Hierarchy Process (AHP) is proposed for LVAM research. The hybrid KB/GAP/AHP System identifies all potential elements of LVAM issues throughout the development of this system. The KB System used in the LVAM analyses the gap between the existing and the benchmark organisations for an effective implementation. The novelty and differences in the current research approach emphasises the use of Knowledge Based (KB) System in the planning and designing stages by suggesting recommendations of LVAM implementation, through: a) developing the conceptual LVAM model; b) designing the KBLVAM System structure based on the conceptual LVAM model; and c) embedding Gauging Absences of Pre-requisites (GAP) analysis and Analytic Hierarchy Process (AHP) approach in the hybrid KBLVAM System. The KBLVAM Model explores five major perspectives in two stages. Planning Stage (Stage 1) consists of Manufacturer Environment Perspective (Level 0), LVAM Manufacturer Business Perspective (Level 1), and LVAM Manufacturer Resource Perspective (Level 2). Design Stage (Stage 2) consists of LVAM Manufacturer Capability ¿ Car Body Part Manufacturing Perspective (Level 3), LVAM Manufacturer Capability ¿ Competitive Priorities Perspective (Level 4), and LVAM Manufacturer Capability ¿ Lean Process Optimisation Perspective (Level 5). Each of these perspectives consists of modules and sub-modules that represent specific subjects in the LVAM development. Based on the conceptual LVAM model, all perspectives were transformed into the KBLVAM System structure, which is embedded with the GAP and AHP techniques, hence, key areas of potential improvement are recommended for each activity for LVAM implementation. In order to be able to address the real situation of LVAM environment, the research verification was conducted for two automotive manufacturers in Malaysia. Some published case studies were also used to check several modules for their validity and reliability. This research concludes that the developed KBLVAM System provides valuable decision making information and knowledge to assist LVAM practitioners to plan, design and implement LVAM in terms of business organisation, manufacturing aspects and practices.
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The development of a hybrid knowledge-based Collaborative Lean Manufacturing Management (CLMM) system for an automotive manufacturing environment: The development of a hybrid Knowledge-Based (KB)/ Analytic Hierarchy Process (AHP)/ Gauging Absences of Pre-Requisites (GAP) Approach to the design of a Collaborative Lean Manufacturing Management (CLMM) system for an automotive manufacturing environment.Khan, M. Khurshid; Hussain, Khalid; Moud Nawawi, Mohd Kamal (University of BradfordSchool of Engineering, Design and Technology, 2009-08-24)The automotive manufacturing facility is extremely complex and expensive system. Managing and understanding the dynamics of automotive manufacturing is a challenging endeavour. In the current era of dynamic global competition, a new concept such as Collaborative Lean Manufacturing Management (CLMM) can be implemented as an alternative for organisations to improve their Lean Manufacturing Management (LMM) processes. All members in the CLMM value chain must work together towards common objectives in order to make the LMM achievable in the collaborative environment. The novel research approach emphasises the use of Knowledge-Based (KB) approach in such activities as planning, designing, assessing and providing recommendations of CLMM implementation, through: a) developing the conceptual CLMM model; b) designing the KBCLMM System structure based on the conceptual model; and c) implementing Gauging Absences of Pre-requisites (GAP) analysis and Analytic Hierarchy Process (AHP) approach in the hybrid KBCLMM. The development of KBCLMM Model is the most detailed part in the research process and consists of five major components in two stages. Stage 1 (Planning stage) consists of Organisation Environment, Collaborative Business and Lean Manufacturing components. Stage 2 (Design stage) consists of Organisation CLMM Capability and Organisation CLMM Alignment components. Each of these components consists of sub-components and activities that represent particular issues in the CLMM development. From the conceptual model, all components were transformed into the KBCLMM System structure, which is embedded with the GAP and AHP techniques, and thus, key areas of potential improvement in the LMM are identified for each activity along with the identification of both qualitative and quantitative aspects for CLMM implementation. In order to address the real situation of CLMM operation, the research validation was conducted for an automotive manufacturer¿s Lean Manufacturing Chain in Malaysia. Published case studies were also used to test several modules for their validity and reliability. This research concludes that the developed KBCLMM System is an appropriate Decision Support System tool to provide the opportunity for academics and industrialists from the fields of industrial engineering, information technology, and operation management to plan, design and implement LMM for a collaborative environment.
Implementing time based manufacturing practices in pharmaceutical preparation manufacturers. Improving time-based manufacturing practices and enhancing manufacturing performance through action research.Brown, S.; Vondracek, Paul T.J.W. (University of BradfordSchool of Management, 2010-11-10)A double case study applying action research methodology was conducted in two pharmaceutical preparation manufacturers in the Netherlands to improve their manufacturing systems by implementing time-based manufacturing (TBM) practices. Following the diagnosis phase, the situation of each Company was analysed and suitable improvement interventions were selected for implementation in the Case Companies. At the end of the action research project, semi-structured interviews were taken in each Company a year later, and the achieved results of the improvement programmes were collected and analysed. This research extends the existing theory of time-based competition and demonstrates that TBM practices apply also in the pharmaceutical preparation manufacturing industry. Furthermore, this study shows how to improve TBM practices and reduce the throughput time by providing the route for improvement and implementation. Although the first Case Company did not improve the core TBM practices and manufacturing performance, its infrastructure improved through the implementation of an ERP system and further enhancement of its quality management system, illustrating that the design of the infrastructure is a key factor to become a time-based competitor. The second Case Company succeeded to improve the 2 TBM practices and throughput processes resulting in the reduction of the order cycle time and increase of the delivery dependability. Based on the data of the two Case Companies, this study demonstrated the relationship between these two manufacturing performance parameters, which indicates that manufacturers may strive for both delivery speed and delivery reliability using the same improvement plan. Adopting TBM is a long journey of many years and needs a continuous improvement infrastructure.
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