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- Johansson, Björn, 1975, et al.
(författare)
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Utilizing Combinatorial Testing on Discrete Event Simulation Models for Sustainable Manufacturing
- 2010
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Ingår i: ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009; San Diego, CA; United States; 30 August 2009 through 2 September 2009. - 9780791848999 ; :PARTS A AND B, s. 1095-1101
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Konferensbidrag (refereegranskat)abstract
- This paper describes how combinatorial testing using covering arrays can be implemented to optimize discrete event simulation models of manufacturing systems for measures of sustainability Discrete event simulation models often have hundreds of parameters and many test values for each parameter Generally the interactions between the parameter-values are not well understood this can lead to sub-optimization of the system Most optimization engines and software for discrete event simulation packages use full factorial designs, which require many runs and hence a lot of computation time In this paper we introduce combinatorial testing using a test-suite generation tool called NIST-ACTS (National Institute of Standards and Technology - Advanced Combinatorial Test Suites) to dramatically decrease the number of runs required to detect the interactions and determine an optimal solution.
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| 3. |
- Mani, Mahesh, et al.
(författare)
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Simulation and analysis for sustainable product development
- 2013
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Ingår i: International Journal of Life Cycle Assessment. - : Springer Science and Business Media LLC. - 1614-7502 .- 0948-3349. ; 18:5, s. 1129-1136
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Tidskriftsartikel (refereegranskat)abstract
- Simulation plays a critical role in the design of products, materials, and manufacturing processes. However, there are gaps in the simulation tools used by industry to provide reliable results from which effective decisions can be made about environmental impacts at different stages of product life cycle. A holistic and systems approach to predicting impacts via sustainable manufacturing planning and simulation (SMPS) is presented in an effort to incorporate sustainability aspects across a product life cycle. Methods Increasingly, simulation is replacing physical tests to ensure product reliability and quality, thereby facilitating steady reductions in design and manufacturing cycles. For SMPS, we propose to extend an earlier framework developed in the Systems Integration for Manufacturing Applications (SIMA) program at the National Institute of Standards and Technology. SMPS framework has four phases, viz. design product, engineer manufacturing, engineer production system, and produce products. Each phase has its inputs, outputs, phase level activities, and sustainability-related data, metrics and tools.Results and discussion An automotive manufacturing scenario that highlights the potential of utilizing SMPS framework to facilitate decision making across different phases of product life cycle is presented. Various research opportunities are discussed for the SMPS framework and corresponding information models. The SMPS framework built on the SIMA model has potential in aiding sustainable product development.
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