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Production engineering

About: Production engineering is a research topic. Over the lifetime, 2657 publications have been published within this topic receiving 37409 citations.


Papers
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DOI
01 Jan 2007
TL;DR: The final author version and the galley proof are versions of the publication after peer review and the final published version features the final layout of the paper including the volume, issue and page numbers.
Abstract: • A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.

23 citations

Proceedings ArticleDOI
01 Sep 2012
TL;DR: The impact of mechatronical thinking on the Engineering process for production systems, the provision of interoperability of engineering activities and tools along the engineering process and the resulting structures will for data exchange will be considered.
Abstract: Following the increasing complexity of production systems, the increasing relevance of complete life cycle coverage, and increasing consideration of engineering costs engineering processes have to be efficient and should generate fault free results. Therefore, mechatronical thinking and interoperability along tool chains are potential supporting means. Within this paper the impact of mechatronical thinking on the engineering process for production systems, the provision of interoperability of engineering activities and tools along the engineering process and the resulting structures will for data exchange be considered. Based on the use case of control system engineering a methodology for the creation of a interoperable tool chain exploiting data exchange formats and meta modeling is given.

22 citations

Journal ArticleDOI
Jens Ove Riis1
TL;DR: The present paper first discusses how to define the role of production in a corporate context and includes a comparison of actual performance of production management in the corporate context.
Abstract: Much planning and control in production is ‘action oriented’, that is, action is preferred to the application of insight and understanding. Despite the fact that almost every section and department of an industrial enterprise is involved, production management has become a specialized function closely attached to the computer department. In order to benefit from the potential combined effects (synergy) of modern technology we need to include many aspects and disciplines. This has called for a new, situational approach to production management which accepts the complexity of reality and strives for insight, which focuses attention on the mutual interplay between involved sections, and which considers production management as an integral part of the industrial enterprise. The result of adopting this new approach is presented in this and a subsequent paper. The present paper first discusses how to define the role of production in a corporate context. It includes a comparison of actual performance wi...

22 citations

Journal ArticleDOI
TL;DR: The opportunities and challenges in architecting such engineering information services and composing them to enable smart manufacturing are described.

22 citations

Book
01 Sep 2001
TL;DR: A formal model of management is presented and structurally estimated on panel data to recover parameters including the adjustment costs of managerial capital and it is found that differences in management practices explain about one quarter of cross-country productivity differences.
Abstract: Are some management practices akin to a technology that can explain company and national productivity, or are do they simply reflect alternative styles? We collect panel data on core management practices in over 10,000 firms in 30 countries. We find large cross country differences, with the US having the highest size-weighted average management score. About one fifth of these cross-country management differences are due to stronger reallocation effects which rewards better managed firms with greater market share. We present a formal model of management and structurally estimate it on our panel data to recover parameters including the adjustment costs of managerial capital (which are twice those of tangible capital). Our model also predicts (i) a positive effect of management on firm performance; (ii) a positive effect of product market competition on average management quality and its covariance with firm size; and (iii) a rise (fall) in the level (dispersion) of management with firm age. These are not moments we use in the structural estimation and we find empirical support for these predictions in new data. Finally, building on our model we find that differences in management practices explain about one quarter of cross-country productivity differences. JEL No. L2, M2, O32, O33.

22 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20234
202210
202126
202025
201923
201857