Distribution Analysis in Manufacturing 2.0 Using Agent Based Modeling and Simulation
The mechanism of past manufacturing system (manufacturing 1.0) causes long period of development, cost increment and risks, which cannot manage the rapid change of current business environment such as diversified customer needs. The manufacturing 2.0 companies which applied the long tail intend to create values through planning, development, production and marketing for satisfying the customers’ specialized needs. Companies can secure the superiority in the market by analysis of distribution channel. Focusing accuracy of distribution channel analysis in manufacturing 1.0 causes it to take long to analyze. However, for the case of manufacturing 2.0, companies sacrifice accuracy for fast analysis of distribution channel. In this paper, we suggest a method to establish and evaluate alternatives with a single model using agent based modeling. Then, we provide the classical simulation results to verify our method.
KeywordsDistribution Analysis Distribution Channel Processing Area Actual Speed System Layout
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- 1.Anderson, C.: The Long Tail: Why the future of business is selling less of more. Hyperion Books (2006)Google Scholar
- 2.Axelrod, R.M.: The Complexity of Cooperation: Agent-based Models of Competition and Collaboration. Princeton University Press (1997)Google Scholar
- 4.Borshchev, A., Filippov, A.: From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools. In: The 22nd International Conference of the System Dynamics Society, pp. 1–23 (2004)Google Scholar
- 5.De Vol, R.C., Wong, P., Bedroussian, A., Hynek, C.F., Rice, D.: Manufacturing 2.0: A More Prosperous California. Milken Institute (2009)Google Scholar
- 6.Jacobson, S.F., Eriksen, L., Kim, P.: Manufacturing 2.0: A Fresh Approach to Integrating Manufacturing Operations with DDVN. Gartner, Inc. (2010)Google Scholar
- 8.Mainzer, K.: Thinking in Complexity: The Computational Dynamics of Matter, Mind, and Mankind. Springer (2007)Google Scholar