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Treffer: A systematic approach towards mastering complexity through hybrid assembly planning.

Title:
A systematic approach towards mastering complexity through hybrid assembly planning.
Authors:
Fölling, Carsten1 (AUTHOR) c.foelling@wzl.rwth-aachen.de, Burggräf, Peter1,2 (AUTHOR), Wang, Siyuan1 (AUTHOR), Adlon, Tobias1 (AUTHOR)
Source:
CIRP: Journal of Manufacturing Science & Technology. Aug2022, Vol. 38, p159-171. 13p.
Database:
Supplemental Index

Weitere Informationen

In the face of increasingly agile product development, new challenges arise for assembly planning due to growing complexity. Within this paper, we show that the complexity-dependent combination of agile methods and traditionally plan-driven assembly planning procedures holds great potential for mastering planning complexity. Thus, a methodology towards hybrid assembly planning is elucidated with a focus on selecting dominant planning methods for specific planning scopes within this paper. Based on a detailed model of assembly planning as a system, the complexity requirements of different planning modules are determined. Therefore, an integrative complexity measure is developed to quantitatively operationalise complexity in a quasistatic-structural and a dynamic-functional complexity dimension. In order to identify dominant planning methods, the complexity potentials of agile and plan-driven methods are examined in an Analytic Hierarchy Process expert study with 22 participants. Within a decision model, dominant planning methods are selected for specific planning modules by matching the quantified complexity requirements with the complexity potentials of agile and plan-driven methods. Based on the systematic method selection, dominant planning methods for specific planning scopes can be tailored into a project-specific hybrid process framework. The approach to hybrid assembly planning enables optimised planning results through the improved mastery of complexity. [ABSTRACT FROM AUTHOR]