Sustainable Manufacturing and Remanufacturing Management

351 Pages·2019·12.225 MB·English

by  Weidong Li, Sheng Wang

Editors
Weidong Li · Sheng Wang
Sustainable
Manufacturing and
Remanufacturing
Management
Process Planning, Optimization and
Applications
Sustainable Manufacturing and Remanufacturing
Management
Weidong Li Sheng Wang
(cid:129)
Editors
Sustainable Manufacturing
and Remanufacturing
Management
Process Planning, Optimization
and Applications
123
Editors
WeidongLi ShengWang
Faculty of Engineering, Faculty of Engineering,
EnvironmentandComputing EnvironmentandComputing
CoventryUniversity CoventryUniversity
Coventry Coventry
UK UK
ISBN978-3-319-73487-3 ISBN978-3-319-73488-0 (eBook)
https://doi.org/10.1007/978-3-319-73488-0
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Preface
The rapid development of the global economies has been hindered by the
unprecedented challenges of the scarcity of fossil fuel resources and ecological
damage. To balance the multi-faceted dimensions of economic growth, resource
utilization and environmental protection, major economies in the world have
developed action plans and schemes for improving the efficiency of energy con-
sumption. Aseriesof product design and manufacturing regulationsand directives
have been proposed in detail, requiring original equipment manufacturers (OEMs)
and their supply chains to adapt to total energy-efficient management.
TheroadmapoftheEuropeanHorizon2020FactoriesoftheFutureprogramme
has indicated that it is a key for Europe’s manufacturing to enhance technological
innovations to make their products and production activities more affordable,
accessibleandsustainable,soasfortheentireEuropeanmanufacturingvaluechains
to multiply the societal, economic and environmental benefits (EU Manufacturing
Visions2020/2030).Inotherdevelopedandemergingeconomies,suchastheUSA,
China, Japan and South Korea, high reliability and environmental friendliness are
also highly expectedby industries toconformto stricter environmental regulations
and keep resource utilization to minimum levels, as well as maintaining the high
production quality and productivity.
From 2011 to 2017, sponsored by European Commission and national funding
agenciesoftheUKandChina,thecontributorsofthechaptershavecollaboratedin
sixmajorresearchprojectsforsustainableproductlifecycledevelopment.Inthese
projects, sustainability issues have been investigated from the following two per-
spectives: (1) process planning and scheduling for sustainable manufacturing
(sustainable manufacturing) and (2) recycling and disassembly process planning
(remanufacturing). In this book, relevant innovative sustainable technologies
sponsored by these projects in the two aspects are reported. In particular, the book
focuses on the applications of sustainable computer numerical controlled
(CNC) machining and waste electronic product remanufacturing management.
Theoretical analysis and algorithm design are presented, as well as the
state-of-the-artsurvey,technicalimplementationdetailsandcasestudies.Thebook
is featured by including some industrial case studies, industrial experiments and
v
vi Preface
system implementation in manufacturing enterprises in Europe and the world.
Meanwhile, multidisciplinary technologies used to support the research from the
areas of artificial intelligence, big data analytics, computational intelligence, man-
ufacturing simulation and optimization, etc., are systemically integrated.
We believe that the book is a timely update in the era of sustainable and smart
manufacturing. It offers a valuable resource for researchers in sustainable manu-
facturing, remanufacturing and product life cycle management communities, as
wellaspracticingengineersanddecision-makersinindustryandallthoseinterested
in sustainable product development and Industry 4.0.
Coventry, UK Weidong Li
Professor in Manufacturing
Sheng Wang
Senior Researcher in Manufacturing
Note
Some chapters are rewritten based on previous publications. Copyright has been
transferred for publishing this book.
Chapter 2 is rewritten from the work of Energy-aware Integrated Process
Planning and Scheduling for Job Shops based on a Modified Genetic Algorithm,
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of
Engineering Manufacture, 2015, 229, 13–26 (authors: M. Dai, D. B. Tang, Y. Xu,
W. D. Li).
Chapter 3 is rewritten from the work of A Hybrid Honey-bee Mating
OptimizationandSimulatedAnnealingApproachforSustainableProcessPlanning
and Scheduling, Integrated Computer Aided Engineering, 2015, 22, 311–326
(authors: X. X. Li, W. D. Li, X. T. Cai, F. Z. He).
Chapter 4 is rewritten from the work of A Systematic Approach of Process
Planning and Scheduling Optimization for Sustainable Machining, Journal of
CleanerProduction,2015,87,914–929(authors:S.Wang,X.Lu,X.X.Li,W.D.Li).
Chapter 5 is rewritten from the work of Experimental Investigation and
Multi-objective Optimization Approach for Low-carbon Milling Operation of
Aluminium,ProceedingsoftheInstitutionofMechanicalEngineers,PartC:Journal
of Mechanical Engineering Science, 2017, 231(15), 2753–2772 (C. Y. Zhang,
W. D. Li, P. Y. Jiang, P. H. Gu).
Chapter 10 is rewritten from the work of A Semantic Information Services
Framework for Sustainable WEEE Management Towards Cloud-based
Remanufacturing, ASME Transactions Journal of Mechanical Science and
Engineering, 2015,137(6) (authors: K.Xia, L. Gao, L. H.Wang,W. D.Li, K.M.
Chao).
Chapter 11 is rewritten from the work of Selective Disassembly Planning for
Waste Electrical and Electronic Equipment with Case Studies on Liquid Crystal
Displays,RoboticsandComputer-IntegratedManufacturing,2013,29(4),248–260
(authors: W. D. Li, K. Xia, L. Gao, K. M. Chao).
Chapter 12 is rewritten from the work of A Systematic Selective Disassembly
Approach for Waste Electrical and Electronic Equipment with Case Study on
vii
viii Note
Liquid Crystal Display Televisions (LCD-TVs), Proceedings of the Institution of
MechanicalEngineers,PartB:JournalofEngineeringManufacture,2017,231(13),
2261–2278 (G. Q. Jin, W. D. Li, S. Wang, S. M. Gao).
Chapter13isrewrittenfromtheworkofDisassemblySequencePlanningUsing
a Simplified Teaching-Learning-Based Optimization Algorithm, Journal of
AdvancedEngineeringInformatics,2014,28(4),518–527(authors:K.Xia,L.Gao,
W. D. Li, K. M. Chao).
About the Book
The book reports the latest research and development of some international col-
laborative projects from 2011 to 2017 sponsored by European Commission and
international collaborative research projects among the U.K., Spain and China. In
this book, innovative optimization technologies for sustainable manufacturing and
remanufacturing are introduced. The book focuses on applications of sustainable
machiningande-wasteproductremanufacturingmanagement.Theoreticalanalysis
and algorithm design are presented, as well as the state-of-the-art survey, imple-
mentation details and case studies. The book is featured by including some
industrial case studies and system implementation in manufacturing enterprises in
Europe and the world.
Thebookoffersavaluableresourceforresearchersinsustainablemanufacturing,
remanufacturing and product lifecycle management communities, as well as prac-
ticing engineers and decision makers in industry and all those interested in sus-
tainable product development and Industry 4.0.
ix
Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
W. D. Li and S. Wang
2 Energy-aware Integrated Process Planning and Scheduling for
Job Shops . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
M. Dai, D. B. Tang, Y. C. Xu and W. D. Li
3 A Hybrid Optimization Approach for Sustainable Process
Planning and Scheduling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
X. X. Li, W. D. Li, X. T. Cai and F. Z. He
4 A Systematic Approach of Process Planning and Scheduling
Optimization for Sustainable Machining. . . . . . . . . . . . . . . . . . . . . 67
S. Wang, X. Lu, X. X. Li and W. D. Li
5 Experimental Investigation and Multi-objective Optimization
Approach for Low-Carbon Milling Operation of Aluminum . . . . . 99
C. Y. Zhang, W. D. Li, P. Y. Jiang and P. H. Gu
6 Cyber-Physical System and Big Data-Enabled Scheduling
Optimization for Sustainable Machining. . . . . . . . . . . . . . . . . . . . . 129
Y. C. Liang, X. Lu, S. Wang and W. D. Li
7 SustainableMachiningProcess:Qualitative AnalysisandEnergy
Efficiency Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165
L. C. Moreira, W. D. Li, X. Lu and M. E. Fitzpatrick
8 A Multi-granularity NC Program Optimization Approach
for Energy Efficient Machining. . . . . . . . . . . . . . . . . . . . . . . . . . . . 191
X. X. Li, W. D. Li and F. Z. He
9 Energy Efficiency, Robustness, and Makespan Optimality
in Job-Shop Scheduling Problems. . . . . . . . . . . . . . . . . . . . . . . . . . 213
M. A. Salido, J. Escamilla, F. Barber, A. Giret, D. B. Tang
and M. Dai
xi