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contributor authorWilliamsson, David
contributor authorSellgren, Ulf
contributor authorSöderberg, Anders
date accessioned2019-09-18T09:04:42Z
date available2019-09-18T09:04:42Z
date copyright3/18/2019 12:00:00 AM
date issued2019
identifier issn1530-9827
identifier otherjcise_019_03_031002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4258588
description abstractA modular product architecture is a strategic means to deliver external variety and internal commonality. In this paper, we propose a new clustering-based method for product modularization that integrates product complexity and company business strategies. The proposed method is logically verified by a studied industrial case, where the architecture of a heavy truck driveline is analyzed in terms of how it has evolved over a couple of decades, due to changed business strategies and the evolution of new technology. The presented case indicates that the new methodology is capable of identifying and proposing reasonable module candidates that address product complexity as well as company-specific strategies. Furthermore, the case study clearly shows that the business strategic reasons for a specific architecture can be found by analyzing how sensitive the clusters are to changes in the module drivers (MD).
publisherAmerican Society of Mechanical Engineers (ASME)
titleProduct Architecture Transition in a Modular Cyber-Physical Truck
typeJournal Paper
journal volume19
journal issue3
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4042961
journal fristpage31002
journal lastpage031002-9
treeJournal of Computing and Information Science in Engineering:;2019:;volume( 019 ):;issue: 003
contenttypeFulltext


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