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International Journal of Production Research Volume 56, 2018 - Issue 24: Special Issue: Design for manufacturing and assembly/disassembly: Joint design of products and production systems
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Articles

A cost estimation model to support automation decision in assembly systems design

A. SalmiCNRS, G-SCOP, Univ. Grenoble Alpes, Grenoble, France
,
P. DavidCNRS, G-SCOP, Univ. Grenoble Alpes, Grenoble, FranceCorrespondence[email protected]
,
E. BlancoCNRS, G-SCOP, Univ. Grenoble Alpes, Grenoble, France
,
O. BriantCNRS, G-SCOP, Univ. Grenoble Alpes, Grenoble, France
&
J. SummersDepartment of Mechanical Engineering, Clemson University, Clemson, SC, USA
Pages 7426-7443 | Received 16 Jun 2017, Accepted 29 May 2018, Published online: 05 Jul 2018

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Read on this site (2)

Mario Rapaccini, Veronica Loew Cadonna, Leonardo Leoni & Filippo De Carlo. (2023) Application of machine learning techniques for cost estimation of engineer to order products. International Journal of Production Research 61:20, pages 6978-7000.
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Olga Battaïa, Alexandre Dolgui, Sunderesh S. Heragu, Semyon M. Meerkov & Manoj Kumar Tiwari. (2018) Design for manufacturing and assembly/disassembly: joint design of products and production systems. International Journal of Production Research 56:24, pages 7181-7189.
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Articles from other publishers (2)

Richard Lackes & Julian Sengewald. (2023) Early Product Cost Estimation by Intelligent Machine Learning Algorithms. Early Product Cost Estimation by Intelligent Machine Learning Algorithms.
Anh Vo Ngoc Tram & Morrakot Raweewan. (2020) Optimal Task Allocation in Human-Robotic Assembly Processes. Optimal Task Allocation in Human-Robotic Assembly Processes.

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