Appropriate automation—Integrating technical, human, organizational, economic and cultural factors

Bonavía, Tomás; Kivinen, J.; Rijnsdorp, J.E.; Rodd, M.G.; Rouse, W. B.

doi:10.1016/0005-1098(91)90127-n

Cited by 28 publications

(5 citation statements)

References 10 publications

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“…The emergence of expert systems revolutionized science. Since 1990, Martin et al (1990) have shown that "although expert systems have proved successful in solving intractable with conventional numerical methods, their role remains limited to support functions, ......"; the conclusion provided by an ES and/or other instruments in the IA must be interpreted by human experts within a business organization.…”

Section: Literature Reviewmentioning

confidence: 99%

Products Generated Knowledge (Intangible Assets) Determinants in Predicting the Bankruptcy Risk?

2016

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A vital activity is the issue of creating a knowledge society, which can only be solved by involving all the forces of intellectual, academic, all generators of ideas. The paper is intended as a contribution, along with attempts by other specialists in finding operational solutions and their implementation in estimating the risk of bankruptcy and predicting its occurrence so through research and development, education and innovation can bring prosperity, development sustainable and personal development of every citizen. Scientific novelty and originality of research and of the results obtained is to formulate proposals of rates in the score function of economic models to estimate the risk of bankruptcy of firms. This rate takes into account intangible assets predominant factor in the evolution of the company and the market value of the company. On the basis of an analysis made it demonstrated that score function for models Altman, Conan-Holder and Rating suffered a pretty significant change if we took into account the intangible assets of the company. Entering this rate into the mentioned models was made using expert systems and neural networks. The analysis, arguments, mathematical models, principles, goals can all be made based on the methodology of scientific research in the creation of knowledge society, scientific elaborations. The results of the work can be applied to all firms in the EU countries' national economies. The mathematical model could have other economic interpretations and therefore can be used in formulating and solving a number of problems in the national economies.

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Section: Literature Reviewmentioning

confidence: 99%

Products Generated Knowledge (Intangible Assets) Determinants in Predicting the Bankruptcy Risk?

2016

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“…The technocentric approach focuses mainly on optimization of automatic operations in production and on the shop floor (Martin et al, 1991). The effects of this strategy are often inflexible systems and a higher sensitivity to disturbances due to lack of concern for human factors.…”

Section: Tablementioning

confidence: 99%

Aligning manufacturing strategy and levels of automation: A case study

Lindström

Winroth

2010

Journal of Engineering and Technology Management

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Research has shown that alignment between manufacturing strategy and decisions regarding automation are often of an ad hoc nature, i.e. the support for automation decisions is poor. Support tools to find an appropriate level of automation are thus needed in order to achieve more efficient and robust production systems. The methodology presented in this paper contains five sub-processes where the chosen level of automation is aligned with the manufacturing strategy. Together they form an automation strategy, which secures a desired direction of the firm and also supports robustness and reliability of the manufacturing system due to the holistic approach chosen.

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“…A CIM system is part and parcel of the infrastructure of the enterprise. Thus, CIM systems designed on the conventional "automation" paradigm, are disasters to come (see Martin et al, 1990).…”

Section: The Fallacy Of the Automation Paradigmmentioning

confidence: 99%

Computer support for cooperative work in advanced manufacturing

Schmidt¹

1991

Int. J. Hum. Factors Manuf.

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In order to prevail in the emerging turbulent business environment, the work organization of advanced manufacturing must be able to adapt diligently and dynamically to the vicissitudes of a volatile market. Meeting this demand requires horizontal exchange of information within a self‐organizing cooperative ensemble of decision makers with a high degree of autonomy in their strategies and conceptualizations. Advanced manufacturing, therefore, poses new demands on the information system of the enterprise that are not addressed in the prevailing approach to computer‐integrated manufacturing.

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Appropriate automation—Integrating technical, human, organizational, economic and cultural factors

Cited by 28 publications

References 10 publications

Products Generated Knowledge (Intangible Assets) Determinants in Predicting the Bankruptcy Risk?

Products Generated Knowledge (Intangible Assets) Determinants in Predicting the Bankruptcy Risk?

Aligning manufacturing strategy and levels of automation: A case study

Computer support for cooperative work in advanced manufacturing

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