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CRC Press Stochastic Process Optimization using Aspen Plus - Chemical Engineering

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£126.13 £89.69 £97.64 £105.59 £113.54 £121.49 £129.44 12 August 2026 27 August 2026 12 September 2026 27 September 2026 13 October 2026
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11 days 45 days 7 days · current 0 11 23 34 45 £93 £97 £126 Days at Price

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Price range: £93 - £126

Price levels: 3 different prices over 63 days

Description
This comprehensive guide explores stochastic process optimization methods using Aspen Plus, the industry-standard modular simulator for chemical engineers. The book addresses real-world engineering challenges by demonstrating how stochastic optimisation techniques solve complex process engineering problems where traditional deterministic approaches fall short. Designed for chemical and process engineers, this resource combines theoretical foundations with practical applications of Aspen Plus, enabling professionals to make optimal decisions across multiple engineering scenarios. Whether you're optimising chemical processes, managing uncertainty in process design, or seeking to improve decision-making in process engineering environments, this text provides the methods and frameworks needed to identify the best solutions among feasible alternatives in complex industrial systems.

Key Features

Covers stochastic optimisation methods specifically tailored for Aspen Plus modular simulator users in chemical engineering.

Demonstrates how to tackle complex process engineering optimisation problems using advanced stochastic techniques.

Provides practical guidance for making optimal engineering decisions across multiple process design scenarios.

Combines theoretical optimisation principles with real-world applications in chemical and process engineering.

Addresses the high volume of engineering decisions required in modern process optimisation environments.

Product Specifications
Brand
CRC Press
Format
hardcover
ASIN
1498785107
Category
Books > Subjects > Science, Nature & Maths > Engineering & Technology > Bioengineering
Domain
Amazon UK
Release Date
28 August 2017
Listed Since
25 February 2017

Barcode

No barcode data available

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