iMEC-APCOMS 2019 (eBook, PDF)

Proceedings of the 4th International Manufacturing Engineering Conference and The 5th Asia Pacific Conference on Manufacturing Systems

• Format: PDF

Produktbeschreibung

This book presents the proceedings of the 4th International Manufacturing Engineering Conference and 5th Asia Pacific Conference on Manufacturing Systems (iMEC-APCOMS 2019), held in Putrajaya, Malaysia, on 21–22 August 2019. Covering scientific research in the field of manufacturing engineering, with focuses on industrial engineering, materials, processes, the book appeals to researchers, academics, scientists, students, engineers and practitioners who are interested in the latest developments and applications related to manufacturing engineering.

Produktdetails

• Verlag: Springer Singapore
• Erscheinungstermin: 26. Oktober 2019
• Englisch
• ISBN-13: 9789811509506
• Artikelnr.: 59032698

Inhaltsangabe

Optimization of Woven Fabric Production Process on Picanol Omniplus Air Jet Machine Using Taguchi Multi-Responseand Grey Relational Analysis Methods.- Re-designing an Assembly Lines at an Automotive Manufacturing Company.- An assignment model to support the assembly line activities by considering the operator`s unique classification – the computational results.- An Optimization Model for Coal Procurement Networks with Coal Blending Facilities.- Competing Risk Models in Reliability Systems, an Exponential Distribution Model with Gamma Prior Distribution, a Bayesian Analysis Approach.

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Optimization of Woven Fabric Production Process on Picanol Omniplus Air Jet Machine Using Taguchi Multi-Responseand Grey Relational Analysis Methods.- Re-designing an Assembly Lines at an Automotive Manufacturing Company.- An assignment model to support the assembly line activities by considering the operator`s unique classification - the computational results.- An Optimization Model for Coal Procurement Networks with Coal Blending Facilities.- Competing Risk Models in Reliability Systems, an Exponential Distribution Model with Gamma Prior Distribution, a Bayesian Analysis Approach.