Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Computing & IT > Computer communications & networking

Buy Now

IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency - Intelligent Methods for the Factory of the Future (Paperback, 1st ed. 2018) Loot Price: R2,873

Discovery Miles 28 730

Repayment Terms: R269 pm x 12*

Add to cart

IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency - Intelligent Methods for the...

IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency - Intelligent Methods for the Factory of the Future (Paperback, 1st ed. 2018)

Oliver Niggemann, Peter Schuller

Series: Technologien fur die intelligente Automation, 8

(sign in to rate)

Loot Price R2,873 Discovery Miles 28 730 | Repayment Terms: R269 pm x 12*

Expected to ship within 10 - 15 working days

Description
Details
Customer Reviews

This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction.

General

Imprint:	Springer Vieweg
Country of origin:	Germany
Series:	Technologien fur die intelligente Automation, 8
Release date:	August 2018
First published:	2018
Editors:	Oliver Niggemann • Peter Schuller
Dimensions:	240 x 168mm (L x W)
Format:	Paperback
Pages:	129
Edition:	1st ed. 2018
ISBN-13:	978-3-662-57804-9
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics Promotions
LSN:	3-662-57804-2
Barcode:	9783662578049