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iMEC-APCOMS 2019: Proceedings of the 4th International Manufacturing Engineering Conference and The 5th Asia Pacific Conference on Manufacturing Systems 2020 ed. [Minkštas viršelis]

  • Formatas: Paperback / softback, 619 pages, aukštis x plotis: 235x155 mm, weight: 967 g, 173 Illustrations, color; 55 Illustrations, black and white; XVIII, 619 p. 228 illus., 173 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Mechanical Engineering
  • Išleidimo metai: 27-Oct-2020
  • Leidėjas: Springer Verlag, Singapore
  • ISBN-10: 9811509522
  • ISBN-13: 9789811509520
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 619 pages, aukštis x plotis: 235x155 mm, weight: 967 g, 173 Illustrations, color; 55 Illustrations, black and white; XVIII, 619 p. 228 illus., 173 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Mechanical Engineering
  • Išleidimo metai: 27-Oct-2020
  • Leidėjas: Springer Verlag, Singapore
  • ISBN-10: 9811509522
  • ISBN-13: 9789811509520
Kitos knygos pagal šią temą:
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.
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.