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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Showing 1 to 2 of 2 (0.124 seconds)
1

Multi-Criteria Decision Support for Manufacturing Process Chains

Reichel, Thomas, Rünger, Gudula 28 March 2013 (has links) (PDF)
During the manufacturing planning, multiple variants of process chains for the manufacturing of a product to be developed are generated by engineers. In order to select an optimal variant, multiple decision criteria specifying technical, ecological and economical properties of the process chains as well as multiple assessments of different domain experts have to be taken into account. The contribution of this article is a two-step approach that provides a multi-criteria multi-expert assessment of manufacturing process chains supporting the selection of an optimal process chain. A web-based software tool that implements the multi-criteria assessment of process chains is also presented.
Prozessketten
Fertigungsprozessplanung
Analytic Hierarchy Process
manufacturing process chains
manufacturing planning
multi-criteria decision support
analytic hierarchy process
ddc:004
ddc:620
Prozesskette
Fertigungsplanung
Entscheidungsunterstützung
Analytic Hierarchy Process
2

Multi-Criteria Decision Support for Manufacturing Process Chains

Reichel, Thomas, Rünger, Gudula 28 March 2013 (has links)
During the manufacturing planning, multiple variants of process chains for the manufacturing of a product to be developed are generated by engineers. In order to select an optimal variant, multiple decision criteria specifying technical, ecological and economical properties of the process chains as well as multiple assessments of different domain experts have to be taken into account. The contribution of this article is a two-step approach that provides a multi-criteria multi-expert assessment of manufacturing process chains supporting the selection of an optimal process chain. A web-based software tool that implements the multi-criteria assessment of process chains is also presented.
info:eu-repo/classification/ddc/004
ddc:004
info:eu-repo/classification/ddc/620
ddc:620

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