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Development of information and collaboration platform for production service system in the mould and die industry


This research is concerned with the transformation Mould and Die (MD) manufacturing industry from the traditional manufacturing paradigm into service-oriented manufacturing (SOM) in collaboration with leading manufacturers in the sector. It investigates how the new concept of Production Service System (PnSS) can be used and extended to integrate distributed manufacturing-oriented services (MOSs) so that all participants could efficiently and effectively collaborate in response to market opportunities. In the PnSS model, MD manufacturers become more specialized in providing certain types of MD products and components while outsourcing other components or related services as MOSs from MOS providers (MOSPs). The main objective of this research is to develop an information and collaboration platform for PnSS (iPnSS) to utilize MOSs and support the implementation of PnSS strategy for MD industry.
The proposed iPnSS is developed based on the SOA (Service-oriented Architecture) paradigm, which aims to encapsulate MOSs as Software as a Service so that MOSs can be advertised, searched, and utilized by stakeholders in PnSS. Several core MOSs have been developed as the core components of iPnSS to meet the urgent requirements of participants in new business model, including Ontology-based Dynamic Alliance Service (ODAS) for forming PnSS alliance, Real-time Order Progress Kanban Service (RT-OPKS) for collaborative project tracking and coordinating, and Hybrid Flow Shop Assembly Scheduling Service (HFS-ASS) for production planning and scheduling which is specified for MD production.

The research makes several key contributions. First, this research investigates the characteristics and challenges of MD industry, and develops the PnSS business model to transform the traditional manufacturing into service-oriented manufacturing for MD industry. An information and collaboration platform called iPnSS is developed to provide related IT solutions for integrating distributed MOSs to facilitate the practical usage of PnSS.

Second, Ontology-based Dynamic Alliance Service is developed to enable participants to form alliance and take advantage of SOM. This service provides a systematic and integrated supplier selection approach in PnSS, being responsible for the major stages in the life cycle of a service-enabled manufacturing process, including service provision and consumption as well as service evaluation and organization respectively.

Third, Real-time Order Progress Kanban Service with the support of Radio Frequency Identification (RFID) technology is developed to support the efficient knowledge feedback for shop floor visibility and traceability. This service provides a set of mechanisms to monitor, evaluate and coordinate the manufacturing execution during the process of collaborative manufacturing after the formation of alliance.

Finally, Hybrid Flow Shop Assembly Scheduling Service is developed to deal with scheduling problem for manufacturing one-of-a-kind products, which is based on real-life study with MD industrial collaborators. For each order in MD manufacturing is assembled after the required components have been produced, the service firstly considers the production simultaneity of components of the same product for final assembly. The service automatically generates scheduling results for PnSS user. / published_or_final_version / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy

Identiferoai:union.ndltd.org:HKU/oai:hub.hku.hk:10722/188264
Date January 2013
CreatorsLi, Zhi, 李志
ContributorsHuang, GQ
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Source SetsHong Kong University Theses
LanguageEnglish
Detected LanguageEnglish
TypePG_Thesis
Sourcehttp://hub.hku.hk/bib/B50533836
RightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works., Creative Commons: Attribution 3.0 Hong Kong License
RelationHKU Theses Online (HKUTO)

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