Parallels between Manufacturing Systems in Industrial Production and Metabolic Systems in Biological Cells : A Network Based Unifying Model from a Production Logistics Perspective

  • Production logistics is the planning, scheduling, and control of all activities in a manufacturing system. The management of operations and logistics in manufacturing systems faces numerous challenges, caused by growth, diversity, dynamics and complexity. At the same time, conflicting targets further detain of a favorable solution. Biological concepts, often developed under the term bionics, promise a new perspective on solution approaches, e.g., in terms of organization principles or heuristics. Metabolic systems have already been recognized by scientists as particularly suited systems for a transfer, because they share numerous properties with logistic systems regarding structure, functions, and goals. However, a detailed analysis of even a proof of the systemic similarity is missing. Additionally, there is currently no foundation for a systematic or structured way of transferring concepts from metabolism to logistics due to the lack of a matching of elements, functions, and goals between the two systems. The result of this work is a network-based model that is able to represent material flow and control procedures in manufacturing systems as well as metabolite flow and metabolic regulation in metabolic systems, the proof of its feasibility by modeling flow networks using real company and metabolic data sets, and the use of measures from complex network theory to identify fundamental commonalities and differences between the two systems that can help creating new ideas for a transfer of concepts from metabolic systems to manufacturing systems.

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Publishing Institution:IRC-Library, Information Resource Center der Jacobs University Bremen
Granting Institution:Jacobs Univ.
Author:Till Becker
Referee:Katja Windt, Marc-Thorsten Hütt, Jens Froese, Matthias Schmidt
Advisor:Katja Windt
Persistent Identifier (URN):urn:nbn:de:101:1-201305294988
Document Type:PhD Thesis
Date of Successful Oral Defense:2012/12/18
Year of Completion:2012
Date of First Publication:2012/12/18
PhD Degree:International Logistics
School:SES School of Engineering and Science
Library of Congress Classification:T Technology / TS Manufactures / TS155-194 Production management. Operations management
Call No:Thesis 2012/46

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