Sustainable production automation / Jingshan Li [and four others].

Format:

Book

Author/Creator:

Li, Jingshan, author.

Series:

Enterprise engineering and sustainability collection.

Enterprise Engineering and Sustainability Collection

Language:

English

Subjects (All):

Production engineering.

Sustainable engineering.

Physical Description:

1 online resource (xx, 204 pages) : illustrations.

Edition:

1st ed.

Place of Publication:

New York, NY : Momentum Press, Engineering, [2017]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Summary:

Manufacturing accounts for a significant portion of energy expenditure. Thus, energy efficient and environmentally friendly (EEEF) manufacturing practices are of significant importance. Sustainability plays a key role to manufacturing, becoming a major factor for manufacturers to be competitive in the global market. It would not only be important to the energy and environmental sectors, but also be substantially beneficial to society and economy. Sustainable manufacturing covers a broad spectrum of manufacturing, including both implementation of advanced manufacturing technology and developing energy-efficient manufacturing systems, as well as extension of product life cycle. Automation, as a vital factor to the success of sustainable manufacturing, plays a critical role. In recent years, it has attracted substantial effort from researchers in both academia and industry to provide efficient scientific and engineering solutions for sustainable manufacturing. This edited book of Sustainable Production Automation presents the recent development of innovative algorithms, models, heuristics, and techniques for production control and operation management in the area of sustainable manufacturing systems. In addition to overviews of recent development in sustainable manufacturing technology and practices, optimization and control methodologies for energy efficient manufacturing are the focuses in this volume. Remanufacturing system modeling and analysis, which are key elements for product life cycle, are also studied. We expect this volume can stimulate more original, significant, visionary, and in-depth research in sustainable production automation, to improve process, efficiency, productivity, quality, and reliability in manufacturing.

Contents:

1. The future of work: sustainable manufacturing

1.1 Introduction

1.2 Sustainability performance measurement

1.3 Selected examples of sustainable manufacturing

1.4 3D printing for sustainable manufacturing

1.5 Sustainable manufacturing in the age of big data

1.6 Conclusion

References

2. Energy efficient manufacturing systems: current research and future challenges

2.1 Introduction

2.2 Energy assessment of machine tools

2.3 Machine tool energy model

2.4 Strategic measures for improving energy efficiency in machining

2.5 Conclusion

3. From tweets to energy optimal robot stations

3.1 Introduction

3.2 Energy consumption in the automotive industry

3.3 Hybrid robot operations

3.4 Optimization of hybrid robot operations

3.5 From tweets to knowledge

3.6 Conclusions

4. Energy reduction in paint shops through energy-sensitive on-off control

4.1 Introduction

4.2 Literature review

4.3 System description

4.4 Modeling with energy zones

4.5 Energy-sensitive control

4.6 Test case

4.7 Conclusions

5. Transient analysis-based performance evaluation and control for energy-efficient production: theory and application

5.1 Introduction and research background

5.2 Literature review

5.3 System modeling and performance measures

5.4 Transient performance evaluation of Bernoulli serial lines without active control

5.5 Analysis of Bernoulli serial lines with state-based machine switch-on/off control

5.6 Analysis of Bernoulli serial lines with machine startup/shutdown scheduling: a case study

5.7 Conclusions and future work

6. Energy consumption in multi-product manufacturing systems: evaluation and properties

6.1 Introduction

6.2 Literature review

6.3 System description and problem formulation

6.4 Energy consumption evaluation

6.5 General distributed processing time case

6.6 Monotonic properties

6.7 Non-monotonic properties

6.8 Conclusions

7. Uncertainty management in remanufacturing process routing

7.1 Introduction

7.2 Problem statement

7.3 Models for analysis and control of remanufacturing process routing

7.4 Comparison results

7.5 Conclusions

Index.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-60650-906-3

OCLC:

971210103