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Comparison of Product Life Cycle Cost Estimating Models Based on Neural Networks and Parametric Techniques—A Case Study for Induction Motors

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  • Zbigniew Leszczyński

    (Faculty of Management and Production Engineering, Lodz University of Technology, 90-924 Łódź, Poland)

  • Tomasz Jasiński

    (Faculty of Management and Production Engineering, Lodz University of Technology, 90-924 Łódź, Poland)

Abstract

The cost estimation of a product’s life cycle is a key factor in the product design process. The research is based on an innovative model of artificial neural networks (ANNs) compared to a parametric estimation. Introducing modern elements of information technologies in the area of cost estimation for a production company is a vital element of its sustainability in the era of Industry 4.0. The presented modern product life cycle cost estimation tool in the form of ANN is a reliable source of forecast that is the basis for the product life cycle cost reduction program, which is a crucial element of sustainability. Research shows that ANNs are a viable alternative to parametric cost estimation. The percentage error between estimated and historical cost values is 8.05 times lower for ANN than for the parametric approach. ANN is an adequate cost estimation model for technologically complex products. The second contribution is using technical specifications required by the customer directly to estimate the cost of a product’s life cycle automatically. This can translate both into a reduction of the time needed to provide information to the client and the workload of engineers.

Suggested Citation

  • Zbigniew Leszczyński & Tomasz Jasiński, 2020. "Comparison of Product Life Cycle Cost Estimating Models Based on Neural Networks and Parametric Techniques—A Case Study for Induction Motors," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8353-:d:426150
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    References listed on IDEAS

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    1. Aslan Deniz Karaoglan & Omur Karademir, 2017. "Flow time and product cost estimation by using an artificial neural network (ANN): A case study for transformer orders," The Engineering Economist, Taylor & Francis Journals, vol. 62(3), pages 272-292, July.
    2. John V. Farr & Isaac J. Faber & Anirban Ganguly & W. Andy Martin & Steven L. Larson, 2016. "Simulation-based costing for early phase life cycle cost analysis: Example application to an environmental remediation project," The Engineering Economist, Taylor & Francis Journals, vol. 61(3), pages 207-222, July.
    3. Riccardo Brozzi & David Forti & Erwin Rauch & Dominik T. Matt, 2020. "The Advantages of Industry 4.0 Applications for Sustainability: Results from a Sample of Manufacturing Companies," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    4. Sabrina Neugebauer & Silvia Forin & Matthias Finkbeiner, 2016. "From Life Cycle Costing to Economic Life Cycle Assessment—Introducing an Economic Impact Pathway," Sustainability, MDPI, vol. 8(5), pages 1-23, April.
    5. Liu, Xiaozhi & Kang, Shaozhong & Li, Fusheng, 2009. "Simulation of artificial neural network model for trunk sap flow of Pyrus pyrifolia and its comparison with multiple-linear regression," Agricultural Water Management, Elsevier, vol. 96(6), pages 939-945, June.
    6. Magali Mauchand & Ali Siadat & Alain Bernard & Nicolas Perry, 2008. "Proposal for tool-based method of product cost estimation during conceptual design," Post-Print hal-00476631, HAL.
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