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Information Management in Improvement Projects: Qualitative and Linguistic Approaches to Value Stream Design

Rößler, Markus Philipp
Jiang, Kyle and Chang, Shinn-Liang and Du, Ruxu (eds.) (2016):
Information Management in Improvement Projects: Qualitative and Linguistic Approaches to Value Stream Design.
In: Applied Mechanics and Materials, Engineering Design and Analysis, online since February 22nd, 2016, [Online-Edition: http://dx.doi.org/10.4028/www.scientific.net/AMM.826.123],
[Conference or Workshop Item]

Abstract

A wide-spread approach to foster production and logistics related improvements on a system level is value stream mapping (VSM). It is often used as a starting point for implementing lean manufacturing in producing companies. VSM as a modeling approach contains two major phases – one is the analysis, another one the design phase. During these there is always the question of getting accurate information out of the production system to enable a constructive improvement. It can be distinguished between direct data acquisitions (observation, questioning, interviews) and indirect data acquisition (using IT systems) where both quantitative and qualitative data arises. Standard value stream design (VSD) offers no option to combine these data types, instead mostly deterministic values are used for assessing future states; this can lead to an illusion of accuracy. Thus in this paper it is shown how to combine different data types with an appropriate modeling using fuzzy variables in the course of VSD. The whole procedure is applied during a laboratory study to provide internal validity.

Item Type: Conference or Workshop Item
Erschienen: 2016
Editors: Jiang, Kyle and Chang, Shinn-Liang and Du, Ruxu
Creators: Rößler, Markus Philipp
Title: Information Management in Improvement Projects: Qualitative and Linguistic Approaches to Value Stream Design
Language: English
Abstract:

A wide-spread approach to foster production and logistics related improvements on a system level is value stream mapping (VSM). It is often used as a starting point for implementing lean manufacturing in producing companies. VSM as a modeling approach contains two major phases – one is the analysis, another one the design phase. During these there is always the question of getting accurate information out of the production system to enable a constructive improvement. It can be distinguished between direct data acquisitions (observation, questioning, interviews) and indirect data acquisition (using IT systems) where both quantitative and qualitative data arises. Standard value stream design (VSD) offers no option to combine these data types, instead mostly deterministic values are used for assessing future states; this can lead to an illusion of accuracy. Thus in this paper it is shown how to combine different data types with an appropriate modeling using fuzzy variables in the course of VSD. The whole procedure is applied during a laboratory study to provide internal validity.

Journal or Publication Title: Applied Mechanics and Materials, Trans Tech Publications, Switzerland
Volume: 826
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW)
Event Title: Applied Mechanics and Materials, Engineering Design and Analysis
Event Dates: online since February 22nd, 2016
Date Deposited: 21 Nov 2016 14:07
Official URL: http://dx.doi.org/10.4028/www.scientific.net/AMM.826.123
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