£39.50

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£40 today · all-time low £39 (Aug 2026) · usually £40

Springer Resource Management in Manufacturing - Optimization Algorithms

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Description

Manufacturing systems operate under constant pressure to allocate scarce resources across parallel production activities whilst meeting operational constraints, deadlines and cost targets. Traditional scheduling methods fall short when tasks demand multiple resource types and require balancing competing objectives. This Springer Series book delivers robust, sophisticated methods for achieving effective resource allocation in dynamic manufacturing environments. It addresses critical challenges including resource levelling, machine sizing and production layout optimisation, providing managers and engineers with practical algorithms and models needed to navigate complex trade-offs between competing goals. Whether you manage production facilities or develop planning systems, this guide equips you with advanced techniques to transform resource management from a reactive problem into a strategic advantage, reducing waste and improving operational performance.

Key Features

Springer Series in Advanced Manufacturing publication covering optimisation algorithms for production planning and resource allocation.

Provides robust methods for assigning production facilities to parallel activities whilst respecting operational constraints and deadlines.

Addresses resource levelling, machine sizing and production layout problems using sophisticated mathematical models.

Develops solutions for multi-objective trade-offs in manufacturing systems where tasks require different resource types.

Delivers practical algorithms and approaches for managers optimising costs in dynamic manufacturing environments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 November 2005
Listed Since
02 February 2007

Barcode

No barcode data available

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