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Configuration Design of a High Performance and Responsive Manufacturing System: Modeling and Evaluation
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
2005 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

Configuring and reconfiguring a manufacturing system is presented as an issue with increasing importance due to higher frequency of system configuration or major reconfigurations to accommodate new set of requirements and/or the need to configure the system to make it usable across generations of products or product families.

This research has focused in the modeling, evaluation and selection decisions which involves multiple, incommensurate and conflicting objectives. Which renders configuration a multi criteria decision making or multi objective optimization problem. A manufacturing system configuration design is strategic, i.e., the effects are long term and determines the competitiveness of manufacturing.

A case study in one of Swedish large discrete part manufacturing which produces variants of products for two different market segments is conducted to verify the fit between the manufacturing strategy and the existing system configuration. The relevance of aggregate modeling is discussed and it’s argued that system dynamics has the advantage over analytical methods in its capability to capture the complexity, its capability to evolve into more rigorous and detailed model, and the lesser time needed for the assessment especially when there are a number of alternatives.

Circumstances are when a cost model may suffice for certain comparative analysis. The challenge with cost models is the difficulty in projecting intangible factors in terms of cost. However, approximation to some important factors can be made that may give insights in the comparative performances of alternatives.

In line with this view a cost model that comprises the investment and operation costs, quality and reliability is proposed. Application of AHP and ANP for preference weight (subjective) elicitation and qualitative performance evaluation, entropy for objective weights calculation that may help to evaluate the discriminating ability of a criteria, Pareto frontier Analysis particularly Data Envelopment Analysis for selection and ranking of alternatives are shown to be relevant and applicable in configuration design.

A comprehensive design decision matrix called House of Assessment is proposed that captures the dependency among the criteria and evaluation objectives weights of the criteria using entropy to determine the discriminating ability of the criteria whenever appropriate.

Place, publisher, year, edition, pages
Stockholm: KTH , 2005.
Series
Trita-IIP, ISSN 1650-1888 ; 2005-08
Keyword [en]
Configuration, Modeling, Evaluation
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-559OAI: oai:DiVA.org:kth-559DiVA: diva2:14435
Public defence
2005-12-22, Sal M311, Brinellvägen 68, Stockholm, 10:00
Opponent
Supervisors
Note
QC 20100826Available from: 2005-12-14 Created: 2005-12-14 Last updated: 2010-08-26Bibliographically approved
List of papers
1. Aggregate analysis of manufacturing systems using system
Open this publication in new window or tab >>Aggregate analysis of manufacturing systems using system
2005 (English)In: Computers & Industrial Engineering, ISSN 0360-8352, Vol. 49, no 1, 98-117 p.Article in journal (Refereed) Published
Abstract [en]

Aggregate analysis in manufacturing system design is a useful approach to relegate the non-feasible alternatives at earlier stages. A reusable System Dynamics model and the Analytic Network Process is proposed for a rapid and strategically consistent decision-making. The SD model captures the causal relationships and interdependence of the factors that can be simulated while the ANP provides the preferences towards the performance objectives consistent to the strategic objectives. The basis for the SD and ANP is the Causal Loop Diagram (CLD) that shows the relevant relationships and feedbacks among the model parameters. The approach is exemplified via a case to select the best among competing system configurations.

Keyword
Aggregate analysis; Manufacturing system design; System dynamics; ANP; Production layout
Identifiers
urn:nbn:se:kth:diva-8937 (URN)10.1016/j.cie.2005.05.001 (DOI)000231464800006 ()2-s2.0-23144455453 (Scopus ID)
Note
QC 20100826Available from: 2005-12-14 Created: 2005-12-14 Last updated: 2011-10-20Bibliographically approved
2. Improving the Performance of a Manufacturing Cell by Reconfiguration
Open this publication in new window or tab >>Improving the Performance of a Manufacturing Cell by Reconfiguration
2002 (English)In: Proceedings of CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, Ischia Italy 14:18, 2002, 2002, 14-17 p.Conference paper, Published paper (Other academic)
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-8938 (URN)
Note
QC 20100826Available from: 2005-12-14 Created: 2005-12-14 Last updated: 2010-08-26Bibliographically approved
3. Comparison of Manufacturing System Configurations Using Simulation Cycle
Open this publication in new window or tab >>Comparison of Manufacturing System Configurations Using Simulation Cycle
2004 (English)In: Proceedings of the Fifteenth IASTED International Conference on Modelling and Simulation, 2004, 379-382 p.Conference paper, Published paper (Refereed)
Abstract [en]

Given the requirements and the design space, multiple alternative system configurations may be generated that have to be evaluated to select the best. Simulation based performance analysis is an indispensable method to accomplish such tasks particularly to complex systems as manufacturing systems which may not be analyzed appropriately by other methods. For systems with significant variability within or operating in a variable condition, their performance is non-linearly and adversely affected. Performance plots such as cycle time and throughput plots are convenient way of capturing and summarizing the system dynamic performance and hence is a suitable way to systematically compare. In this paper, a simulation-based experiment is presented to compare systems with variability using their steady state cycle time and throughput.

Keyword
simulation; configuration; variability
National Category
Computer Science
Identifiers
urn:nbn:se:kth:diva-8939 (URN)000228484000067 ()2-s2.0-18944366379 (Scopus ID)0-88986-391-1 (ISBN)
Conference
15th IASTED International Conference on Modelling and Simulation Marina Del Rey, CA, MAR 01-03, 2004
Note

QC 20100826

Available from: 2005-12-14 Created: 2005-12-14 Last updated: 2014-12-09Bibliographically approved
4. Manufacturing Strategy and System Configuration: a Systematic Analysis of a Decision Making Process
Open this publication in new window or tab >>Manufacturing Strategy and System Configuration: a Systematic Analysis of a Decision Making Process
2004 (English)In: Proceedings of the International IMSForum 2004. May 17:19, 2004. Villa Erba, Como, Italy, 2004, 682-690 p.Conference paper, Published paper (Other academic)
Identifiers
urn:nbn:se:kth:diva-8940 (URN)
Note
QC 20100826Available from: 2005-12-14 Created: 2005-12-14 Last updated: 2010-08-26Bibliographically approved
5. An Integrated Approach To Evaluate Alternative System Configurations
Open this publication in new window or tab >>An Integrated Approach To Evaluate Alternative System Configurations
2004 (English)In: Proceedings of The EUROMA 2004: Operations Management as a Change Agent INSEAD, Fontainebleau, 27 : 29 June 2004, 2004, 589-598 p.Conference paper, Published paper (Other academic)
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-8941 (URN)
Note
QC 20100826Available from: 2005-12-14 Created: 2005-12-14 Last updated: 2010-08-26Bibliographically approved
6. Manufacturing strategy linked to manufacturing system flow principle
Open this publication in new window or tab >>Manufacturing strategy linked to manufacturing system flow principle
2004 (English)In: Proceedings of the 7th CIRP International Seminar on Manufacturing Systems (ISMS:2004), Digital Enterprises, production network 2004, 2004Conference paper, Published paper (Other academic)
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-24228 (URN)
Note
QC 20100826Available from: 2010-08-26 Created: 2010-08-26 Last updated: 2010-08-26Bibliographically approved

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