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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	August 2018
Genre:	Wirtschaft / Recht
	B / Business and Management / Business logistics / Decision Making / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Engineering# general / Industrial Management / Logistics / Management decision making / Management of specific areas / Management science / Operational research / Operations Management / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory mehr...
ISBN:	9783319879383
EAN-Code:	9783319879383
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 12 mm
Gewicht:	343 gr
Seiten:	204
Illustration:	XV, 204 p. 53 illus., 30 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Commercial advanced planning and scheduling (APS) systems have been around for about 25 years and have seen widespread adoption in a variety of companies. The promises made by APS system implementations are high, and at the same time, APS projects are complex, costly, and carry a significant risk of failure. There is a great need for guidance on how to successfully implement APS systems, which is why this book was written.  In this book, we aim to discuss all facets of APS implementation, from theoretical background to definition, vendor selection, system design and the implementation process. In addition, this book helps readers understand how the underlying concepts were formed, why a concept will work in practice, and when it will not.  The contents of this book are based on many years of academic research and APS implementation experience. It draws together theory and practice in production control and explains how theories can be applied to support planning and scheduling processes in practice. This book will help anyone involved in  APS implementations to achieve success: human planners generate better plans than before, using the APS.