Intelligent Systems for Engineers and Scientists

Hopgood, Adrian A.

doi:10.1201/b11287

Cited by 62 publications

(64 citation statements)

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“…This process is then repeated to find the second-best matching winner and the corresponding second predicted next symbol. In accordance with established training criteria for artificial neural network models [9], the experiments were conducted on randomly generated separate training and test sets (i.e. sequences were unique with respect to all other sequences in both sets).…”

Section: Methodsmentioning

confidence: 99%

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Extracting Finite Structure from Infinite Language

McQueen

Hopgood

Allen

et al.

Research and Development in Intelligent Systems XXI

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Section: Methodsmentioning

confidence: 99%

“…While DRNs are capable of learning simple formal languages, they are renowned for their instability when processing long sequences that were not part of their training set [8,9]. As detailed by Kolen [12], a DRN is capable of partitioning its state-space into regions approximating the states in a grammar.…”

Section: Connectionism and Determinacymentioning

confidence: 99%

Extracting Finite Structure from Infinite Language

McQueen

Hopgood

Allen

et al.

Research and Development in Intelligent Systems XXI

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“…We further narrow our scope to only configuration systems that are expert systems or knowledge-based systems. Although it is argued that expert systems are a subset of the more general knowledge-based systems (Hopgood 2001;Jackson 1999). Expert systems are typically defined as computer programs that represents and reasons with knowledge of specialist matter with the purpose of solving problems or giving advice (Jackson 1999).…”

Section: Configurators or Configuration Systemsmentioning

confidence: 99%

“…The results are presented to the outside world by an interface that handles connections to humans, hardware, data, and/or other software. Expert systems often have extra frills in terms of a knowledge acquisition module, or an explanation module to explore the knowledge bases, see Figure The main components of a knowledge-based system (Hopgood 2001) The goal of a configuration system is thus to build a specification of which a selection of components satisfies the needs of the configurer, and how the components are connected or detect inconsistencies in the requirements giving by the user.…”

mentioning

confidence: 99%

Mass Customization of Services

Edwards¹,

Blecker

Hvam³

et al.

Growing Modular

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Different configuration problems at different stages in the service life cycle. By Jose Angel Lakunza, Juan Carlos Astiazaran, Maria ElejosteConfiguring an open pipeline fulfilment system -a simulation study in an automotive context. By Philip G. Brabazon, Andy Woodcock, Bart L MacCarthyReplanning in an open pipeline fulfilment system -a simulation study in an automotive context. Topics of the IMCM'08 & PETO'08 and this book are: Mass customization in service, mass customizing financial services, mass customization in supply networks, implementation issues in logistics, product life cycle and mass customization. The research field of mass customization is more than 15 years old but as the topics illustrate, quite a diverse field. This is expected to continue as long as all fields continue to evolve in their own direction. From a research point of view this provides an opportunity as practitioners from diverse fields have an interest in meeting and sharing ideas. The IMCM'08 & PETO'08 is one such opportunity.We would like to offer our special thanks to the authors who by submitting their work made this conference possible and thereby continue to support this conference as a platform for mass customization research. AbstractThe rules and practices of supply-side collaboration changed with the automaker moving to modular assembly, and modular supply becomes dominate of the emerging automotive industry. The major purpose of this paper is to identify how modular supply affects the supply-side collaboration, and how to organize the upstream supply network effectively to supply these two type modules. Based on the case studies in Chinese automotive industry and literature reviews, we conclude that there are two type modules, fully integrated module and partial integrated module, and there are two types module supplier correspondingly. This paper observes the supply-side collaboration not only on the function level to identify the function deployment among design, production, inbound logistics and information, but also on the role level to analysis the relationship among automaker, module supplier and 3PL provider. And we summarized the findings into a 3C framework followed the 3C framework approach, which includes the context and capability requirements for supply-side collaboration when providing the two different type modules, and the configuration regarding the upstream supply network structure, the supply side collaboration process structure, and the supported information architecture.

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“…It makes use of an iterative greedy strategy, which is to move in the direction of increasing value. A hill-climbing algorithm evaluates the successor states and keeps only the best one [10]. AEHC is designed to consider swapping each task in every workstation with each task in the next adjacent workstation in search of improved balance.…”

Section: Hill Climbing Description and The Heuristicmentioning

confidence: 99%