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David S. Cochran
Researcher at Indiana University – Purdue University Fort Wayne
Publications - 44
Citations - 1125
David S. Cochran is an academic researcher from Indiana University – Purdue University Fort Wayne. The author has contributed to research in topics: Axiomatic design & Systems design. The author has an hindex of 15, co-authored 43 publications receiving 1044 citations. Previous affiliations of David S. Cochran include Massachusetts Institute of Technology.
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A decomposition approach for manufacturing system design
TL;DR: In this article, a manufacturing system design decomposition (MSDD) is proposed to enable a firm to simultaneously achieve cost, quality, delivery responsiveness to the customer, and flexibility objectives.
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Manufacturing System Design
TL;DR: In this paper, a manufacturing system that has to produce a mix of products in large numbers in highly competitive industry is designed to illustrate the methodology of axiomatic design theory, and this design may be an ideal and practical design for many manufacturing firms competing in consumer-oriented industries with worldwide over-capacity of manufacturing facilities.
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Big data analytics with applications
Zhuming Bi,David S. Cochran +1 more
TL;DR: The purpose of the presented work is to clarify the requirements of predictive systems, and to identify research challenges and opportunities on BDA to support cloud-based information systems.
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The application of axiomatic design and lean management principles in the scope of production system segmentation
TL;DR: In this article, the design and evaluation of segmented production system structures is the subject of the paper "Segmented production systems: A Systematic Design and Evaluation of Segmented Production System Structures".
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Reviewing TRIZ from the perspective of Axiomatic Design
Yong-Suk Kim,David S. Cochran +1 more
TL;DR: In this paper, several concepts of TRIZ are reviewed from the standpoint of Axiomatic Design, such as ideality, conflicts, and contradictions, using the Sufield model of the TRIZ algorithm.