Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/37279
Title: Intelligent overhead crane improves operator ergonomics and productivity
Authors: Bey-Temsamani, Abdellatif
SCHOUTERDEN, Gert 
VAN DEN BERGH, Jan 
Meskens, Joram
Incirci, Taner
KELLENS, Karel 
Issue Date: 2022
Publisher: 
Source: Procedia CIRP, 106, p. 132-137
Abstract: In today's business environment, the trend towards more product variety and customization is unbroken. Due to this development, the need of agile and reconfigurable production systems emerged to cope with various products and product families. To design and optimize production systems as well as to choose the optimal product matches, product analysis methods are needed. Indeed, most of the known methods aim to analyze a product or one product family on the physical level. Different product families, however, may differ largely in terms of the number and nature of components. This fact impedes an efficient comparison and choice of appropriate product family combinations for the production system. A new methodology is proposed to analyze existing products in view of their functional and physical architecture. The aim is to cluster these products in new assembly oriented product families for the optimization of existing assembly lines and the creation of future reconfigurable assembly systems. Based on Datum Flow Chain, the physical structure of the products is analyzed. Functional subassemblies are identified, and a functional analysis is performed. Moreover, a hybrid functional and physical architecture graph (HyFPAG) is the output which depicts the similarity between product families by providing design support to both, production system planners and product designers. An illustrative example of a nail-clipper is used to explain the proposed methodology. An industrial case study on two product families of steering columns of thyssenkrupp Presta France is then carried out to give a first industrial evaluation of the proposed approach.
Keywords: Assembly;Design method;Family identification
Document URI: http://hdl.handle.net/1942/37279
ISSN: 2212-8271
DOI: 10.1016/j.procir.2022.02.167
Rights: © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 9 th CIRP Conference on Assembly Technology and Systems
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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