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Design evaluation of automated manufacturing processes based on complexity of control logic

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Alkan, Bugra, Vera, Daniel A., Ahmad, Mussawar, Ahmad, Bilal and Harrison, Robert (2016) Design evaluation of automated manufacturing processes based on complexity of control logic. In: 26th CIRP Design Conference, Stockholm, Sweden, 15-17 Jun 2016. Published in: Procedia CIRP, 50 pp. 141-146. doi:10.1016/j.procir.2016.05.031 ISSN 2212-8271.

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Official URL: https://doi.org/10.1016/j.procir.2016.05.031

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Abstract

Complexity continues to be a challenge in manufacturing systems, resulting in ever-inflating costs, operational issues and increased lead times to product realisation. Assessing complexity realizes the reduction and management of complexity sources which contributes to lowering associated engineering costs and time, improves productivity and increases profitability. This paper proposes an approach for evaluating the design of automated manufacturing processes based on the structural complexity of the control logic. Six complexity indices are introduced and formulated: Coupling, Restrictiveness, Diameter, Branching, Centralization, and Uncertainty. An overall Logical Complexity Index (CL) which combines all of these indices is developed and demonstrated using a simple pick and place automation process. The results indicate that the proposed approach can help design automation logics with the least complexity and compare alternatives that meet the requirements during initial design stages.

Item Type: Conference Item (Paper)
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Technological complexity -- Automation -- Research, Manufacturing processes -- Automation, Product design, Industrial productivity
Journal or Publication Title: Procedia CIRP
Publisher: Elsevier
ISSN: 2212-8271
Official Date: 9 August 2016
Dates:
DateEvent
9 August 2016Published
3 May 2016Accepted
Volume: 50
Page Range: pp. 141-146
DOI: 10.1016/j.procir.2016.05.031
Status: Peer Reviewed
Publication Status: Published
Date of first compliant deposit: 6 May 2016
Date of first compliant Open Access: 9 May 2016
Funder: Engineering and Physical Sciences Research Council (EPSRC)
Grant number: Knowledge-Driven Configurable Manufacturing (KDCM) research project
Conference Paper Type: Paper
Title of Event: 26th CIRP Design Conference
Type of Event: Conference
Location of Event: Stockholm, Sweden
Date(s) of Event: 15-17 Jun 2016
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