Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Juni 2019
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / B / Business logistics / Computational Intelligence / Distribution & logistics management / engineering / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Industrial Management / Logistics / Machines, Tools, Processes / Management of specific areas / Manufactures / Manufacturing, Machines, Tools, Processes / Operations Management / Production engineering
ISBN:	9783319891415
EAN-Code:	9783319891415
Verlag:	Springer International Publishing
Einband:	Kartoniert
Sprache:	English
Serie:	Springer Theses
Dimensionen:	H 235 mm / B 155 mm / D 10 mm
Gewicht:	265 gr
Seiten:	168
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.