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INTEGRATION OF PROCESS PLANNING AND SCHEDULING APPROACHES AND ALGORITHMS (HB 2020)

INTEGRATION OF PROCESS PLANNING AND SCHEDULING APPROACHES AND ALGORITHMS (HB 2020)

INTEGRATION OF PROCESS PLANNING AND SCHEDULING APPROACHES AND ALGORITHMS (HB
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INTEGRATION OF PROCESS PLANNING AND SCHEDULING APPROACHES AND ALGORITHMS (HB 2020) Other -

by Rakesh Kumar Phanden (Editor); Ajai Jain (Editor); J. Paulo Davim (Editor)

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Taylor & Francis Group . Other. New.
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Details

  • Title INTEGRATION OF PROCESS PLANNING AND SCHEDULING APPROACHES AND ALGORITHMS (HB 2020)
  • Author Rakesh Kumar Phanden (Editor); Ajai Jain (Editor); J. Paulo Davim (Editor)
  • Binding Other
  • Condition New
  • Pages 226
  • Volumes 1
  • Language ENG
  • Publisher Taylor & Francis Group
  • Features Bibliography, Index
  • Bookseller's Inventory # 6376460165
  • ISBN 9780367030780 / 0367030780
  • Weight 1.05 lbs (0.48 kg)
  • Dimensions 9.3 x 6.3 x 0.7 in (23.62 x 16.00 x 1.78 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Production scheduling
  • Library of Congress Catalogue Number 2019024675
  • Dewey Decimal Code 658.53
  • Quantity available 4

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Reader reviews for INTEGRATION OF PROCESS PLANNING AND SCHEDULING APPROACHES AND ALGORITHMS (HB 2020)

From the publisher

Both process planning and scheduling are very important functions of manufacturing, which affect together the cost to manufacture a product and the time to deliver it. This book contains various approaches proposed by researchers to integrate the process planning and scheduling functions of manufacturing under varying configurations of shops. It is useful for both beginners and advanced researchers to understand and formulate the Integration Process Planning and Scheduling (IPPS) problem effectively.

Features

  • Covers the basics of both process planning and scheduling
  • Presents nonlinear approaches, closed-loop approaches, as well as distributed approaches
  • Discuss the outfit of IPPS in Industry 4.0 paradigm
  • Includes the benchmarking problems on IPPS
  • Contains nature-algorithms and metaheuristics for performance measurements in IPPS
  • Presents analysis of energy-efficient objective for sustainable manufacturing in IPPS

About the author

Rakesh Kumar Phanden, Ajai Jain, J. Paulo Davim
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