Process Planning and Scheduling for Distributed Manufacturing
Aus der Reihe
Springer Series in Advanced Manufacturing
Fr. 192.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
15.05.2007
Abbildungen
XX, 207 schwarzweisse Abbildungen, 42 Tabellen, 10 Abbildungenton-Abb., 197 schwarzweisse Zeichnungen 235 mm
Herausgeber
Lihui Wang + weitereVerlag
Springer LondonSeitenzahl
429
Maße (L/B/H)
24.3/16.6/3.3 cm
Gewicht
807 g
Auflage
2007 edition
Sprache
Englisch
ISBN
978-1-84628-751-0
Manufacturing has been one of the key areas that support and influence a nation’s economy since the 18th century. Being the primary driving force in economic growth, manufacturing constantly serves as the foundation of and contributes to other industries with products ranging from heavy-duty machinery to hi-tech home electronics. In the past centuries, manufacturing has contributed significantly to modern civilisation and created momentum that is used to drive today’s economy. Despite various revolutionary changes and innovations in the 20th century that contributed to manufacturing advancements, we are still facing new challenges when striving to achieve greater success in winning global competitions. Today, distributed manufacturing is unforeseeably coming into being due to recent business decentralisation and manufacturing outsourcing. Manufacturers are competing in a dynamic marketplace that demands short response time to changing markets and agility in production. In the 21st century, manufacturing is gradually shifting to a distributed environment with increasing dynamism. In order to win a competition, locally or globally, customer satisfaction is treated with priority. This leads to mass customisation and even more complex manufacturing processes, from shop floors to every level along manufacturing supply chains. At the same time, outsourcing has forged a multi-tier supplier structure with numerous small-- medium-sized enterprises involved, where highly-mixed products in small batch sizes are handled simultaneously in job-shop operations.
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