Design Evaluation of Automated Manufacturing Processes Based on Complexity of Control Logic

Bugra Alkan*, Daniel Vera, Mussawar Ahmad, Bilal Ahmad, Robert Harrison

*Corresponding author for this work

Research output: Contribution to conferenceConference Paper

7 Citations (Scopus)

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.

Original languageEnglish
Pages141-146
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2016
Event26th CIRP Design Conference, 2016 - Stockholm, Sweden
Duration: 15 Jun 201617 Jun 2016

Conference

Conference26th CIRP Design Conference, 2016
CountrySweden
CityStockholm
Period15/06/1617/06/16

Keywords

  • complexity indicator
  • complexity management
  • design efficiency
  • Process modelling

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    Alkan, B., Vera, D., Ahmad, M., Ahmad, B., & Harrison, R. (2016). Design Evaluation of Automated Manufacturing Processes Based on Complexity of Control Logic. 141-146. Paper presented at 26th CIRP Design Conference, 2016, Stockholm, Sweden. https://doi.org/10.1016/j.procir.2016.05.031