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Springer Throughput Optimization in Robotic Cells - Operations Research

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Description

Throughput Optimization in Robotic Cells delivers essential algorithmic results and structural insights accumulated over 25 years of research into robotic cell sequencing and scheduling. This volume from Springer's International Series in Operations Research and Management Science addresses the critical challenge of manufacturing productivity in an era of intense global competition. The book serves practitioners, researchers, and students seeking practical solutions for optimizing computer-controlled robotic systems in cellular manufacturing environments. It synthesises established methodologies for robotic cell sequencing with contemporary scheduling approaches, providing actionable frameworks for enhancing throughput in automated production systems. Whether you're designing new robotic cells or refining existing automation strategies, this comprehensive resource bridges the gap between academic theory and real-world manufacturing applications.

Key Features

Covers 25 years of structural results and algorithmic advances specific to robotic cell optimisation and throughput improvement.

Provides sequencing and scheduling solutions designed for modern computer-controlled robotic cells used in cellular manufacturing.

Combines practical guidance for practitioners with rigorous research insights from the International Series in Operations Research and Management Science.

Addresses manufacturing productivity challenges through detailed exploration of robotic automation strategies and process optimisation.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 May 2007
Listed Since
05 February 2007

Barcode

No barcode data available

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