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Artificial neural networks as cost engineering methods in a collaborative manufacturing environment

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  • Wang, Qing

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  • Wang, Qing, 2007. "Artificial neural networks as cost engineering methods in a collaborative manufacturing environment," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 53-64, September.
    • Handle: RePEc:eee:proeco:v:109:y:2007:i:1-2:p:53-64
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    References listed on IDEAS

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    1. Gernot Grabher & Walter W. Powell (ed.), 2004. "Networks," Books, Edward Elgar Publishing, volume 0, number 2771.
    2. Shtub, Avraham & Zimerman, Yoav, 1993. "A neural-network-based approach for estimating the cost of assembly systems," International Journal of Production Economics, Elsevier, vol. 32(2), pages 189-207, September.
    3. Shtub, Avraham & Versano, Ronen, 1999. "Estimating the cost of steel pipe bending, a comparison between neural networks and regression analysis," International Journal of Production Economics, Elsevier, vol. 62(3), pages 201-207, September.
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    Cited by:

    1. Duffner, Fabian & Mauler, Lukas & Wentker, Marc & Leker, Jens & Winter, Martin, 2021. "Large-scale automotive battery cell manufacturing: Analyzing strategic and operational effects on manufacturing costs," International Journal of Production Economics, Elsevier, vol. 232(C).
    2. Huseyin Ozturk & Ersin Namli & Halil Ibrahim Erdal, 2016. "Reducing Overreliance on Sovereign Credit Ratings: Which Model Serves Better?," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 59-81, June.
    3. C.G. Sreenivasa & S.R. Devadasan & N.M. Sivaram & S. Karthi, 2012. "Resource optimisation through artificial neural network for handling supply chain constraints," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 4(1/2), pages 5-19.
    4. Carlos F. A. Arranz, 2024. "A system dynamics approach to modelling eco‐innovation drivers in companies: Understanding complex interactions using machine learning," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4456-4479, July.
    5. Arranz, Carlos F.A. & Arroyabe, Marta F. & Arranz, Nieves & de Arroyabe, Juan Carlos Fernandez, 2023. "Digitalisation dynamics in SMEs: An approach from systems dynamics and artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    6. Arroyabe, Marta F. & Arranz, Carlos F.A. & Arroyabe, Ignacio Fernandez de & Arroyabe, Juan Carlos Fernandez de, 2024. "The effect of IT security issues on the implementation of industry 4.0 in SMEs: Barriers and challenges11This paper was supported by the UKRI Discribe Hub+, Digital Security by Design (DSbD) Programme," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    7. Bodendorf, Frank & Xie, Qiao & Merkl, Philipp & Franke, Jörg, 2022. "A multi-perspective approach to support collaborative cost management in supplier-buyer dyads," International Journal of Production Economics, Elsevier, vol. 245(C).

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