Proposing a holistic framework for the assessment and management of manufacturing complexity through data-centric and human-centric approaches

Dominik Kohr, Mussawar Ahmad, Bugra Alkan, Malarvizhi Kaniappan Chinnathai, Lukas Budde, Daniel Vera, Thomas Friedli, Robert Harrison

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

4 Citations (Scopus)

Abstract

A multiplicity of factors including technological innovations, dynamic operating environments, and globalisation are all believed to contribute towards the ever-increasing complexity of manufacturing systems. Although complexity is necessary to meet functional needs, it is important to assess and monitor it to reduce life-cycle costs by simplifying designs and minimising failure modes. This research paper identifies and describes two key industrially relevant methods for assessing complexity, namely a data-centric approach using the information theoretic method and a human-centric approach based on surveys and questionnaires. The paper goes on to describe the benefits and shortcomings of each and contributes to the body of knowledge by proposing a holistic framework that combines both assessment methods.

Original languageEnglish
Title of host publicationCOMPLEXIS 2018 - Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk
EditorsMuthu Ramachandran, Victor Chang, Victor Mendez Munoz
PublisherSciTePress
Pages86-93
Number of pages8
ISBN (Electronic)9789897582974
Publication statusPublished - 1 Jan 2018
Event3rd International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2018 - Funchal, Madeira, Portugal
Duration: 20 Mar 201821 Mar 2018

Publication series

NameCOMPLEXIS 2018 - Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk
Volume2018-March

Conference

Conference3rd International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2018
CountryPortugal
CityFunchal, Madeira
Period20/03/1821/03/18

Keywords

  • Complexity Drivers
  • Complexity Management
  • Manufacturing Complexity
  • Production

Fingerprint Dive into the research topics of 'Proposing a holistic framework for the assessment and management of manufacturing complexity through data-centric and human-centric approaches'. Together they form a unique fingerprint.

Cite this