Empirical comparison of assembly complexity assessment approaches in manufacturing

Author:

Capponi Matteo,Mastrogiacomo Luca,Franceschini Fiorenzo1ORCID

Affiliation:

1. Politecnico di Torino

Abstract

Abstract Investigating assembly complexity is a continuing concern within manufacturing field, as it may impact quality and costs of products. There is a growing body of literature aimed at developing novel and reliable methods to assess assembly complexity. The first aim of this paper is to provide an extensive literature review, identifying the main approaches to this problem. Three main approaches emerged: product-centred approach, information-centred approach and system-centred approach. A second goal is to carry out a comparative analysis of these approaches highlighting their advantages, limitations and providing guidance for process and product designers seeking to control assembly complexity. For each approach, a representative method was chosen, analysed in detail, and applied to three different real products.

Publisher

Research Square Platform LLC

Reference46 articles.

1. Product complexity and design of inspection strategies for assembly manufacturing processes;Genta G;Int J Prod Res,2018

2. Hinckley CM (1994) : A global conformance quality model. A new strategic tool for minimizing defects caused by variation, error, and complexity. Ph.D. dissertation, Stanford University, United States

3. Shibata H (2002) : Global assembly quality methodology: A new method for evaluating assembly complexities in globally distributed manufacturing. Ph.D. dissertation, Stanford University, United States

4. A Systematic Study of the Prediction Model for Operator-Induced Assembly Defects Based on Assembly Complexity Factors;Su Q;IEEE Trans Syst Man Cybern - Part Syst Hum,2010

5. Defects-per-unit control chart for assembled products based on defect prediction models;Verna E;Int J Adv Manuf Technol,2022

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