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Towards a Generic Framework for the Performance Evaluation of Manufacturing Strategy: An Innovative Approach
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology. KTH. (Manufacturing and Metrology Systems)ORCID iD: 0000-0002-8597-2604
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology. (Manufacturing and Metrology Systems)
2018 (English)In: Towards a Generic Framework for the Performance Evaluation of Manufacturing Strategy: An Innovative Approach, Vol. 9, no 2, p. 131-156Article in journal (Refereed) Published
Abstract [en]

To be competitive in a manufacturing environment by providing optimal performance in terms of cost-effectiveness and swiftness of system changes, there is a need for flexible production systems based on a well-defined strategy. Companies are steadily looking for methodology to evaluate, improve and update the performance of manufacturing systems for processing operations. Implementation of an adequate strategy for these systems’ flexibility requires a deep understanding of the intricate interactions between the machining process parameters and the manufacturing system’s operational parameters. This paper proposes a framework/generic model for one of the most common metal cuttingoperations—the boring process of an engine block machining system. A system dynamics modelling approach is presented for modelling the structure of machining system parameters of the boring process, key performance parameters and their intrinsic relationships. The model is based on a case study performed in a company manufacturing engine blocks for heavy vehicles. The approach could allow for performance evaluation of an engine block manufacturing system condition. The presented model enables a basis for other similar processes and industries producing discrete parts.

Place, publisher, year, edition, pages
2018. Vol. 9, no 2, p. 131-156
Keywords [en]
performance evaluation; machining strategies; manufacturing system; manufacturing strategy; machining process interaction; dynamic modelling; performance criteria; system dynamics
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:kth:diva-229086OAI: oai:DiVA.org:kth-229086DiVA, id: diva2:1212029
Note

QC 20180604

Available from: 2018-06-01 Created: 2018-06-01 Last updated: 2019-09-04Bibliographically approved
In thesis
1. Manufacturing Dynamics and Performance Evaluation
Open this publication in new window or tab >>Manufacturing Dynamics and Performance Evaluation
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Manufacturing companies are striving to remain competitive in the market and maintain their economic growth and productivity. Uncertainties regarding the changes in product demand, workpiece material, product design, and technological advancement, have imposed pressure on manufacturing systems. Market uncertainties force manufacturing companies to be flexible and responsive in producing different parts, by adapting the existing system without the need for a substantial investment. The market is characterized by time variations in product quantities and varieties while manufacturing systems remain inherently fixed. To sustain competitive manufacturing, a company has to adopt to new production requirements and be responsive to market changes quickly. Conscious decisions have to be made for a system to respond to market fluctuations. In order to respond to the dynamic changes, there is a need for developing methodologies that analyse, evaluate and control performance of manufacturing system at the system and/or process levels.

The primary focus of the thesis is to develop a novel generic framework for modelling and controlling manufacturing systems intending for improvement of the performance of manufacturing and make companies more competitive. The framework incorporates the complex interrelations between the process and system parameters, i.e., the dynamics of the system. Thus, provides a quantitative and qualitative analysis for performance evaluation and for optimizing performance of manufacturing system. The generic framework can further be adapted for studying specific manufacturing systems in discrete manufacturing. Three case studies are presented. The case studies are performed in an automotive company where the effect of various levels of control is investigated in manufacturing systems configured as transfer line or as a flexible manufacturing system.

Two aspects of the dynamic nature of manufacturing system are investigated in this thesis: (1) The engineering nature of the system, i.e., the selection of appropriate process parameters to manufacture a product according to the design specification, and (2) The business nature of the system, i.e., the selection of system parameters with respect to the way the product is manufactured. At the process level, the parameters are controlled within the process capability limits to adapt to the changes of the system parameters in response to the market dynamics. At the system level, operational parameters are controlled to satisfy performance criteria.

A case study for resource use analysis during primary processes has also been investigated and presented. The critical operations and the operations that have the highest energy consumptions and the potential for energy savings have been identified.

The methodology developed for analysing the performance of the dynamic manufacturing system is based on a system dynamics modelling approach. Results obtained from different modelling approaches are presented and compared based on the selected performance metrics.

Place, publisher, year, edition, pages
Stockholm: Kungliga Tekniska högskolan, 2018. p. 107
Series
TRITA-ITM-AVL ; 2018:33
Keywords
Manufacturing system and strategy; performance evaluation; manufacturing dynamics; decision-making; system dynamics; sustainable and energy efficient manufacturing
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-229400 (URN)978-91-7729-841-0 (ISBN)
Public defence
2018-06-15, M311, Brinellvägen 68, Stockholm, 13:00 (English)
Opponent
Supervisors
Funder
VINNOVA, 2012-00933
Available from: 2018-06-04 Created: 2018-06-01 Last updated: 2018-06-04Bibliographically approved

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