ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511607

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

摘要:

Management theory and management practice are often accused of not belonging together. Likewise decision support systems (DSSs) appear to have failed in providing support for managerial decision-making. Some of the problems seem to come from the fact that academics and managers are ambitious people, successful in their own field, discussing the same issues, but speaking a different language, thus not understanding each other. It does not have to be like this. Here we will describe how we discovered the differences between theory and practice when developing a DSS to support strategic decision—making in a drug company. It is possible to represent the key elements and their relationships of strategic management in a DSS so that they will make sense to the decision-maker. It is, however, the kind of work where we have to rush slowly if we wish to achieve good results.

ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511608

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

摘要:

Packaged software evaluation represents a major decision for end-users. It involves a number of quantitative as well as qualitative attributes in choosing among system alternatives. This paper reports the results of an evaluation designed to assess two choice models utilized in a software evaluation and selection case study. As part of an empirical assessment of the software selection process, this evaluation compared the rankings of a short list of commercial software packages. The rankings were prepared by the linear weighted attribute (LWA) choice model and the multi—attribute utility theory (MAUT) choice model. Both of these choice models gave essentially the same ordering of the short list. However, there were noteworthy differences in the statistical significance within the respective rankings of software.

ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511609

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

摘要:

Production Activity Control, considered as the operational levels of production management, requires quick decision making in order to react to changes on the resources or on the workshop environment. The design of a Decision Support System in such a context implies to model the reasoning of the experts of the field. A simple conceptual model of Production Activity Control is suggested, in order to identify the types of reasoning used. The uncertainty and imprecision of the information led us to use fuzzy logic in order to select various inference semantics, adapted to the types of decision identified. Examples of implemented reasonings are described.

ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511610

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511611

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511612

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511613

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511614

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511615

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:1246-0125    

DOI:10.1080/12460125.1994.10511616

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor