Weaving a semantic grid for multidisciplinary collaborative design

International Journal of Production Research

Nee

2011

Grid technology has been recognised as a promising paradigm for the next generation manufacturing systems. Researchers have attempted to apply grid technology to product design, manufacturing resource integration and sharing, enterprise management, enterprise collaboration, resource optimal allocation and scheduling, and to enable the digitalisation of enterprise information as an implementation methodology. It has been already close to a decade since the first appearance of the concept of manufacturing grid (MGrid). Many projects on the application of grid technologies in manufacturing have been carried out, and a large number of research papers on MGrid have been published. In order for MGrid to be better known and accepted by researchers in the manufacturing community, this study aims to describe the connotation of MGrid through investigating existing research studies on MGrid. The contributions of this study are: (1) highlighting the motivations and driving forces of MGrid; (2) detailed description of the connotation of MGrid, such as the concept of MGrid;(3) presenting the key research contents and technologies of MGrid, including its four commonly known categories and 31 items; (4) investigating and summarising existing research on MGrid theories and applications; and (5) projecting several key future research issues of MGrid.

Section: Investigation Of Application Research On Mgridmentioning

confidence: 99%

A review of the application of grid technology in manufacturing

Tao

International Journal of Production Research

Nee

2011

“…The tenderer registry is applied to store some related information of tenderers. Our previous works [ 55 , 56 ] have developed a rich body of OWL-based service ontologies that can provide valid reference for this illustrative example.…”

Section: An Illustrative Example With the Prototype Systemmentioning

confidence: 99%

A Combination of Extended Fuzzy AHP and Fuzzy GRA for Government E-Tendering in Hybrid Fuzzy Environment

Wang

The Scientific World Journal

et al. 2014

The recent government tendering process being conducted in an electronic way is becoming an inevitable affair for numerous governmental agencies to further exploit the superiorities of conventional tendering. Thus, developing an effective web-based bid evaluation methodology so as to realize an efficient and effective government E-tendering (GeT) system is imperative. This paper firstly investigates the potentiality of employing fuzzy analytic hierarchy process (AHP) along with fuzzy gray relational analysis (GRA) for optimal selection of candidate tenderers in GeT process with consideration of a hybrid fuzzy environment with incomplete weight information. We proposed a novel hybrid fuzzy AHP-GRA (HFAHP-GRA) method that combines an extended fuzzy AHP with a modified fuzzy GRA. The extended fuzzy AHP which combines typical AHP with interval AHP is proposed to obtain the exact weight information, and the modified fuzzy GRA is applied to aggregate different types of evaluation information so as to identify the optimal candidate tenderers. Finally, a prototype system is built and validated with an illustrative example for GeT to confirm the feasibility of our approach.

“…The historical feedback ratings and the attributes information of services are extracted from the historical feedback rating repository and the service ontology repository, respectively. Our previous works [ 27 , 28 ] have already developed a rich body of OWL-based service ontologies which could be a good use for reference to our currently proposed approach.…”

Section: An Illustrative Example With the Prototype Systemmentioning

confidence: 99%

A New Method for E‐Government Procurement Using Collaborative Filtering and Bayesian Approach

The Scientific World Journal

Wang

et al. 2013

Nowadays, as the Internet services increase faster than ever before, government systems are reinvented as E-government services. Therefore, government procurement sectors have to face challenges brought by the explosion of service information. This paper presents a novel method for E-government procurement (eGP) to search for the optimal procurement scheme (OPS). Item-based collaborative filtering and Bayesian approach are used to evaluate and select the candidate services to get the top-M recommendations such that the involved computation load can be alleviated. A trapezoidal fuzzy number similarity algorithm is applied to support the item-based collaborative filtering and Bayesian approach, since some of the services' attributes can be hardly expressed as certain and static values but only be easily represented as fuzzy values. A prototype system is built and validated with an illustrative example from eGP to confirm the feasibility of our approach.