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Simulation Based Multi-Criteria Assessment of Lean Material Flow Design Alternatives.

Rößler, Markus Philipp ; Abele, Eberhard ; Metternich, Joachim (2014)
Simulation Based Multi-Criteria Assessment of Lean Material Flow Design Alternatives.
In: Applied Mechanics and Materials, Trans Tech Publications, Switzerland, 598
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

In this article a procedure is introduced to improve transparency and reliability of results for the selection of material flow design alternatives including machine tools and other capital-intensive goods. In the design phase of material flow planning projects, key performance indicators (KPIs) for design alternatives including processing as well as intralogistics elements can be derived using simulation. Using the state of the art method in value stream design and simulation often volatile input data is taken into account only in the simulation itself, but not in the downstream comparison of alternative designs, which could lead to imprecise conclusions and therefore to wrong investment decisions. To overcome this issue and to consider variability in the whole simulation phase and a subsequent decision making process, a multi-criteria decision analysis (MCDA) with two fuzzy representations is proposed and discussed here with the aim of helping practitioners to get more competitive value streams. A further goal of the article is the comparison between both forms used for fuzzy representation. Using the design example of machine tool-intralogistics systems obtained results are discussed.

Typ des Eintrags: Artikel
Erschienen: 2014
Autor(en): Rößler, Markus Philipp ; Abele, Eberhard ; Metternich, Joachim
Art des Eintrags: Bibliographie
Titel: Simulation Based Multi-Criteria Assessment of Lean Material Flow Design Alternatives.
Sprache: Englisch
Publikationsjahr: 2014
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Applied Mechanics and Materials, Trans Tech Publications, Switzerland
Jahrgang/Volume einer Zeitschrift: 598
URL / URN: https://www.scientific.net/AMM.598.661
Kurzbeschreibung (Abstract):

In this article a procedure is introduced to improve transparency and reliability of results for the selection of material flow design alternatives including machine tools and other capital-intensive goods. In the design phase of material flow planning projects, key performance indicators (KPIs) for design alternatives including processing as well as intralogistics elements can be derived using simulation. Using the state of the art method in value stream design and simulation often volatile input data is taken into account only in the simulation itself, but not in the downstream comparison of alternative designs, which could lead to imprecise conclusions and therefore to wrong investment decisions. To overcome this issue and to consider variability in the whole simulation phase and a subsequent decision making process, a multi-criteria decision analysis (MCDA) with two fuzzy representations is proposed and discussed here with the aim of helping practitioners to get more competitive value streams. A further goal of the article is the comparison between both forms used for fuzzy representation. Using the design example of machine tool-intralogistics systems obtained results are discussed.

Freie Schlagworte: Investment Decision, Lean Production, Material Flow, Simulation, Variability
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW)
Hinterlegungsdatum: 15 Sep 2014 09:40
Letzte Änderung: 19 Jun 2018 08:04
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