Design of information system architectures using a key-problem framework

Goepp, Virginie; Kiefer, François; Geiskopf, François

doi:10.1016/j.compind.2005.09.001

Cited by 24 publications

(9 citation statements)

References 17 publications

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“…The requirements determination phase of the IT procurement process has been pointed out as crucial for the success of applying IT by several authors [14][15][16][17], therefore further research within this area is suggested as important by the author. The emphasis of research within MMIT tend to lie within the later phases concerning evaluation of different systems alternatives, see for instance [13] or the implementation of IT systems as in [8], but few authors deal with the determination and identification of MMIT requirements. To confirm the lack of research within the area of MMIT procurement, a literature survey was conducted in the full text database Electronic Library Information Navigator (ELIN), which integrates vast amount of databases and providers, such as Blackwell, Cambridge journals, Emerald, IEEE, Science Direct and Wiley.…”

Section: Introductionmentioning

confidence: 99%

An approach for determining the requirements of computerised maintenance management systems

Kans

2008

Computers in Industry

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Section: Introductionmentioning

confidence: 99%

An approach for determining the requirements of computerised maintenance management systems

Kans

2008

Computers in Industry

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“…An information system's architecture can be defined as a collection of artefacts, namely a definition of constituent components of the IS, a specification of the properties of those components, and a description of the relationship among those components and their interactions during operation (Bass et al, 2013;Goepp et al, 2006). The use of the term design in this paper generally refers to the creation of the architecture of the smart PPC system.…”

Section: Systems Architecture Considerationsmentioning

confidence: 99%

Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study

et al. 2021

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In furtherance of emerging research within smart production planning and control (PPC), this paper prescribes a methodology for the design and development of a smart PPC system. A smart PPC system uses emerging technologies such as the internet of things, big-data analytics tools and machine learning running on the cloud or on edge devices to enhance performance of PPC processes. It achieves this by using a wider range of data sources from the production system, capturing and utilizing the experience of production planners, using analytics and machine learning to harness insights from the data and allowing dynamic and near real-time action to the continuously changing production system. The proposed methodology is illustrated with a case study in a sweets and snacks manufacturing company, to highlight the key considerations and challenges production managers might face during its application. The case further demonstrates considerations for scalability and flexibility via a loosely coupled, service-oriented architecture and the selection of fitting algorithms respectively to address a business requirement for a short-term, multi-criteria and event-driven production planning and control solution. Finally, the paper further discusses the challenges of PPC in smart manufacturing and the importance of fitting smart technologies to planning environment characteristics.

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“…TRIZ is mainly applied to areas such as product and process improvement, elimination of process restrictions, technology forecasting, new product development, patent avoidance, and so forth. (11)(12)(13)(14) As TRIZ effectively uses the accumulated knowledge in patents, it offers a creative way to reduce the time and cost of developing or inventing technologies to improve product quality and establish R&D plans. For example, TRIZ has recently contributed to integrating telemetrics into the wireless communication technology used in self-driving cars.…”

Section: Application Of Triz and Game Theory To Pemfcmentioning

confidence: 99%

Flow Control of Proton Exchange Membrane Fuel Cell with Theory of Inventive Problem Solving (TRIZ)

Chuang¹,

Lan²,

Lan³

et al. 2021

Sensors and Materials

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An optimization strategy is proposed to improve the performance of a proton exchange membrane fuel cell (PEMFC) by using the theory of inventive problem solving (TRIZ) and game theory. TRIZ is widely used to provide solutions to the problems of systematic and innovative designs as it is based on the analysis of scientific and engineering aspects in patented technologies. Factors that improve and worsen the flow control of air and hydrogen are selected by TRIZ. The selected factors are assessed to establish quality optimization strategies, with game theory used to formulate the reward matrix from the negotiation between two parameters. A COMSOL simulation of quality gain and loss was performed using the measured data of inlet temperature, inlet pressure, and pressure drop, which were found to be important factors. The results showed that the outlet temperature, outlet pressure, and pressure drop were improved by 16.67, 78.8, and 11.73% by the control of the inlet temperature, inlet pressure, and flow of air and hydrogen, respectively. TRIZ with game theory was proved effective for obtaining an appropriate flow control strategy of a PEMFC, and provides an effective and easy way to design and manufacture a device when there are many factors and parameters to consider.

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Design of information system architectures using a key-problem framework

Cited by 24 publications

References 17 publications

An approach for determining the requirements of computerised maintenance management systems

An approach for determining the requirements of computerised maintenance management systems

Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study

Flow Control of Proton Exchange Membrane Fuel Cell with Theory of Inventive Problem Solving (TRIZ)

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