Cantitate/Preț
Produs

Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems (Springer Theses)

De (autor)
Notă GoodReads:
en Limba Engleză Carte Paperback – 06 Jun 2019
This thesis reports on an innovative production-scheduling model for virtual computer-integrated manufacturing (VCIM) systems. It also describes a robust genetic algorithm for production scheduling in VCIM systems. The model, which is the most comprehensive of its kind to date, is not only capable of supporting collaborative shipment scheduling and handling multiple product orders simultaneously, but also helps cope with multiple objective functions under uncertainties. In turn, the genetic algorithm, characterised by an innovative algorithm structure, chromosome encoding, crossover and mutation, is capable of searching for optimal/suboptimal solutions to the complex optimisation problem in the VCIM production- scheduling model described. Lastly, the effectiveness of the proposed approach is verified in a comprehensive case study.
Citește tot Restrânge
Toate formatele și edițiile
Toate formatele și edițiile Preț Express
Carte Paperback (1) 45856 lei  Economic 5-7 săpt. +17655 lei  11-19 zile
  Springer – 06 Jun 2019 45856 lei  Economic 5-7 săpt. +17655 lei  11-19 zile
Carte Hardback (1) 59696 lei  Economic 5-7 săpt. +24226 lei  11-19 zile
  Springer – 30 Jan 2018 59696 lei  Economic 5-7 săpt. +24226 lei  11-19 zile

Din seria Springer Theses

Preț: 45856 lei

Preț vechi: 48783 lei
-6%

Puncte Express: 688

Preț estimativ în valută:
9247 10373$ 8319£

Carte tipărită la comandă

Livrare economică 26 august-09 septembrie
Livrare express 02-10 august pentru 18654 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319891415
ISBN-10: 3319891413
Pagini: 147
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția: Softcover reprint of the original 1st ed. 2018
Editura: Springer
Colecția Springer
Seria Springer Theses

Locul publicării: Cham, Switzerland

Cuprins

Chapter 1: Introduction.- Chapter 2: Literature review.- Chapter 3: An innovative production scheduling model for VCIM systems.- Chapter 4: An innovative genetic algorithm for VCIM production scheduling optimisation.- Chapter 5: Case study.- Chapter 6: Conclusions and recommendations for future work.

Textul de pe ultima copertă

This thesis reports on an innovative production-scheduling model for virtual computer-integrated manufacturing (VCIM) systems. It also describes a robust genetic algorithm for production scheduling in VCIM systems. The model, which is the most comprehensive of its kind to date, is not only capable of supporting collaborative shipment scheduling and handling multiple product orders simultaneously, but also helps cope with multiple objective functions under uncertainties. In turn, the genetic algorithm, characterised by an innovative algorithm structure, chromosome encoding, crossover and mutation, is capable of searching for optimal/suboptimal solutions to the complex optimisation problem in the VCIM production- scheduling model described. Lastly, the effectiveness of the proposed approach is verified in a comprehensive case study.

Caracteristici

Nominated as an outstanding PhD thesis by the University of South Australia, Adelaide
Reports on an innovative production-scheduling model for virtual computer-integrated manufacturing (VCIM) systems
Presents a robust genetic algorithm for optimising production scheduling in VCIM systems