Get Free Shipping on orders over $89
Manufacturing Process Optimization for Sustainable Development Using Digital Twin Applications : Manufacturing Design and Technology - Santosh Kumar Tamang

Manufacturing Process Optimization for Sustainable Development Using Digital Twin Applications

By: Santosh Kumar Tamang

eText | 6 May 2026 | Edition Number 1

At a Glance

eText


$181.50

or 4 interest-free payments of $45.38 with

 or 

Available: 6th May 2026

Preorder. Online access available after release.

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Manufacturing Process Optimization for Sustainable Development Using Digital Twin Applications explores the potential of digital twin applications in the manufacturing sector, with a primary focus on achieving sustainable development.

The edited volume provides a comprehensive overview of the interdisciplinary nature of digital twin applications, considering how collaboration between engineering, data science, environmental science, and other fields can lead to holistic and impactful solutions. The content addresses the challenges and potential hurdles in implementing digital twin solutions in manufacturing while also proposing future directions for research and development in this rapidly evolving field, further reviewing how digital twin technologies can be effectively applied to enhance efficiency, reduce waste, and improve overall productivity in manufacturing processes. The role of digital twins in contributing to sustainable development goals is also analyzed, including considerations such as resource conservation, energy efficiency, and the reduction of environmental impact throughout the manufacturing lifecycle. Case studies and real-world examples are included to illustrate successful implementations.

The publication caters to a diverse audience of professionals, researchers, and academics from engineering disciplines, including mechanical engineers, industrial engineers, electrical and electronic engineers, data scientists and AI engineers, and manufacturing and operations managers. The comprehensive approach makes it an essential resource for anyone seeking to understand the intersection of digital twin technology and sustainable manufacturing practices.

on
Desktop
Tablet
Mobile

More in Machine Learning

Applied Microeconometrics - Damian Clarke

eBOOK

RRP $123.46

$98.99

20%
OFF