Skip to main content
SpringerLink
Log in

Research Areas and Suggestions for Sustainable Manufacturing Systems

  • Conference paper
  • First Online:
Industrial Engineering in the Digital Disruption Era (GJCIE 2019)

Part of the book series: Lecture Notes in Management and Industrial Engineering ((LNMIE))

  • 959 Accesses

Abstract

Nowadays, sustainable manufacturing systems gain further awareness and importance because of considering economic, environmental, and social factors. This study presents a comprehensive evaluation to gain knowledge about sustainable manufacturing systems and related basic concepts such as circular economy, industrial symbiosis, eco-industrial parks, and life cycle assessment. Moreover, some suggestions for future research areas are presented to help to fill gaps in this field after many studies from the related literature are evaluated in detail.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ahmad S, Wong KY (2018) Sustainability assessment in the manufacturing industry: a review of recent studies. Benchmarking: Int J 25(8):3162–3179

    Google Scholar 

  • Al-Kindi LA, Atiya H (2018) Multi-objective GA-based optimization to maximize sustainability for product design and manufacturing. Anbar J Eng Sci 7(3):195–201

    Google Scholar 

  • Albino V, Fraccascia L, Giannoccaro I (2016) Exploring the role of contracts to support the emergence of self-organized industrial symbiosis networks: an agent-based simulation study. J Clean Prod 112:4353–4366

    Google Scholar 

  • Aljuneidi T, Bulgak AA (2016) A mathematical model for designing reconfigurable cellular hybrid manufacturing-remanufacturing systems. Int J Adv Manuf Technol 87:1585–1596

    Google Scholar 

  • Aljuneidi T, Bulgak AA (2017) Designing a cellular manufacturing system featuring remanufacturing, recycling, and disposal options: a mathematical modeling approach. CIRP J Manuf Sci Technol 19:25–35

    Google Scholar 

  • Baysan S, Kabadurmus O, Cevikcan E, Satoglu SI, Durmusoglu MB (2019) A simulation-based methodology for the analysis of the effect of lean tools on energy efficiency: an application in power distribution industry. J Clean Prod 211:895–908

    Google Scholar 

  • Bilge P, Badurdeen F, Seliger G, Jawahir IS (2014) Model-based approach for assessing value creation to enhance sustainability in manufacturing. Procedia CIRP 17:106–111

    Google Scholar 

  • Bozorg-Haddad O, Solgi M, Loaiciga HA (2017) Meta-heuristic and evolutionary algorithms for engineering optimization. John Wiley & Sons, Inc., New York 280 pages

    Google Scholar 

  • Cecelja F, Trokanas N, Raafat T, Yu M (2015) Semantic algorithm for industrial symbiosis network synthesis. Comput Chem Eng 83:248–266

    Google Scholar 

  • Chavarria-Barrientos D, Batres R, Wright PK, Molina A (2018) A methodology to create a sensing, smart and sustainable manufacturing enterprise. Int J Prod Res 56(1–2):584–603

    Google Scholar 

  • Cui H, Liu C, Cote R, Liu W (2018) Understanding the evolution of industrial symbiosis with a system dynamics model: a case study of Hai Hua industrial symbiosis China. Sustainability 10:3873 25 pages

    Google Scholar 

  • Dai M, Tang D, Giret A, Salido MA, Li WD (2013) Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robot Comput Integr Manuf. 29(5):418–429

    Google Scholar 

  • Despeisse M, Mbaye F, Ball PD, Levers A (2012) The emergence of sustainable manufacturing practices. Prod Plan Control 23(5):354–376

    Google Scholar 

  • Domenech T, Bleischwitz R, Doranova A, Panayotopoulos D, Roman L (2019) Mapping industrial symbiosis development in Europe typologies of networks, characteristics, performance and contribution to the circular economy. Resour Conserv Recycl 141:76–98

    Google Scholar 

  • Fan Y, Qiao Q, Fang L, Yao Y (2017) Emergy analysis on industrial symbiosis of an industrial park - a case study of Hefei economic and technological development area. J Clean Prod 141:791–798

    Google Scholar 

  • Ferrera E, Tisseur R, Lorenço E, Silva EJ, Baptista AJ, Cardeal G, Peças P (2017) Optimization for sustainable manufacturing application of optimization techniques to foster resource efficiency. In: Proceedings of the 2nd International conference on internet of things, big data and security (IoTBDS 2017), pp 424–430

    Google Scholar 

  • Fraccascia L, Yazan DM (2018) The role of online information-sharing platforms on the performance of industrial symbiosis networks. Resour Conserv Recycl 136:473–485

    Google Scholar 

  • Gahm C, Denz F, Dirr M, Tuma A (2016) Energy-efficient scheduling in manufacturing companies: a review and research framework. Eur J Oper Res 248:744–757

    MathSciNet  MATH  Google Scholar 

  • Galal NM, Moneim AFA (2015) A mathematical programming approach to the optimal sustainable product mix for the process industry. Sustainability 7:13085–13103

    Google Scholar 

  • Garetti M, Taisch M (2012) Sustainable manufacturing: trends and research challenges. Prod Plan Control 23(2–3):83–104

    Google Scholar 

  • Ghodsi R, Mostafayi S, Mansouri Z, Bakhtiari M (2015) Designing a bi-objective integrating mathematical model for dynamic sustainable cellular manufacturing systems considering production planning. J Appl Mech Eng. 4(6):7

    Google Scholar 

  • Gu C, Leveneur S, Estel L, Yassine A (2013) Modeling and optimization of material/energy flow exchanges in an eco-industrial park. Energy Procedia 36:243–252

    Google Scholar 

  • Hersh M (2006) Mathematical modelling for sustainable development. Springer, Berlin Environmental Engineering, Editors: R. Allan, U. Förstner, W. Salomons, 557 pages

    Google Scholar 

  • Iqbal A, Al-Ghamdi KA (2018) Energy-efficient cellular manufacturing system: eco-friendly revamping of machine shop configuration. Energy 163:863–872

    Google Scholar 

  • Kamble SS, Gunasekaran A, Gawankar SA (2018) Sustainable industry 4.0 framework: a systematic literature review identifying the current trends and future perspectives. Process Saf Environ Prot 117:408–425

    Google Scholar 

  • Kinoshita Y, Yamada T, Gupta SM, Ishigaki A, Inoue M (2016) Analysis of environmental and economic disassembly parts selection by goal programming. Procedia CIRP 40:162–167

    Google Scholar 

  • Kirchherr J, Reike D, Hekkert M (2017) Conceptualizing the circular economy: an analysis of 114 definitions. Resour Conserv Recycl 127:221–232

    Google Scholar 

  • Kishawy HA, Hegab H, Saad E (2018) Design for sustainable manufacturing: approach, implementation, and assessment. Sustainability 10:3604 15 pages

    Google Scholar 

  • Kuznetsova E, Zio E, Farel R (2016) A methodological framework for eco-industrial park design and optimization. J Clean Prod 126:308–324

    Google Scholar 

  • Leong YT, Lee J-Y, Tan RR, Foo JJ, Chew IML (2017) Multi-objective optimization for resource network synthesis in eco-industrial parks using an integrated analytic hierarchy process. J Clean Prod 143:1268–1283

    Google Scholar 

  • Niakan F, Baboli A, Moyaux T, Botta-Genoulaz V (2016) A bi-objective model in sustainable dynamic cell formation problem with skill-based worker assignment. J Manuf Syst 38:46–62

    MATH  Google Scholar 

  • Raabe B, Low JSC, Juraschek M, Herrmann C, Tjandra TB, Ng YT, Kurle D, Cerdas F, Lueckenga J, Yeo Z, Tan YS (2017) Collaboration platform for enabling industrial symbiosis: application of the by-product exchange network model. Procedia CIRP 61:263–268

    Google Scholar 

  • Ramos MA, Rocafull M, Boix M, Aussel D, Montastruc L, Domenech S (2018) Utility network optimization in eco-industrial parks by a multi-leader follower game methodology. Comput Chem Eng 112:132–153

    Google Scholar 

  • Rubio-Castro E, Ponce-Ortega JM, Serna-González M, Jimenez-Gutiérrez A, El-Halwagi MM (2011) A global optimal formulation for the water integration in eco-industrial parks considering multiple pollutants. Comput Chem Eng 35:1558–1574

    Google Scholar 

  • Rubio-Castro E, Ponce-Ortega JM, Serna-González M, El-Halwagi MM (2012) Optimal reconfiguration of multi-plant water networks into an eco-industrial park. Comput Chem Eng 44:58–83

    Google Scholar 

  • Shuaib M, Seevers D, Zhang X, Badurdeen F, Rouch KE, Jawahir IS (2014) Product Sustainability Index (ProdSI) a metrics-based framework to evaluate the total life cycle sustainability of manufactured products. J Ind Ecol 18(4):491–507

    Google Scholar 

  • Smol M, Kulczycka J, Henclik A, Gorazda K, Wzorek Z (2015) The possible use of sewage sludge ash (SSA) in the construction industry as a way towards a circular economy. J Clean Prod 95:45–54

    Google Scholar 

  • Song X, Geng Y, Dong H, Chen W (2018) Social network analysis on industrial symbiosis: a case of Gujiao eco-industrial park. J Clean Prod 193:414–423

    Google Scholar 

  • Sproedt A, Plehn J, Schönsleben P, Herrmann C (2015) A simulation-based decision support for eco-efficiency improvements in production systems. J Clean Prod 105:389–405

    Google Scholar 

  • Tan RR, Aviso KB, Cruz JB Jr, Culaba AB (2011) A note on an extended fuzzy bi-level optimization approach for water exchange in eco-industrial parks with hub topology. Process Saf Environ Prot 89:106–111

    Google Scholar 

  • Tiu BTC, Cruz DE (2017) An MILP model for optimizing water exchanges in eco-industrial parks considering water quality. Resour Conserv Recycl 119:89–96

    Google Scholar 

  • Yazan DM, Romano VA, Albino V (2016) The design of industrial symbiosis: an input-output approach. J Clean Prod 129:537–547

    Google Scholar 

  • Zhang C, Zhou L, Chhabra P, Garud SS, Aditya K, Romagnoli A, Comodi G, Magro FD, Meneghetti A, Kraft M (2016) A novel methodology for the design of waste heat recovery network in eco-industrial park using techno-economic analysis and multi-objective optimization. Appl Energy 184:88–102

    Google Scholar 

  • Zhou B-H, Shen C-Y (2018) Multi-objective optimization of material delivery for mixed model assembly lines with energy consideration. J Clean Prod 192:293–305

    Google Scholar 

  • Zhou L, Zhang C, Karimi IA, Kraft M (2017) J-park simulator, an intelligent system for information management of eco-industrial parks. Energy Procedia 142:2953–2958

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Faculty of Engineering and Natural Sciences, İskenderun Technical University, 31200, İskenderun, Hatay, Turkey

    Emine Bozoklar

  2. Department of Industrial Engineering, Faculty of Engineering, Çukurova University, Balcalı, Sarıçam, 01330, Adana, Turkey

    Ebru Yilmaz

Authors
  1. Emine Bozoklar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ebru Yilmaz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Emine Bozoklar .

Editor information

Editors and Affiliations

  1. Istanbul Technical University, Istanbul, Türkiye

    Fethi Calisir

  2. Eastern Mediterranean University, Famagusta, TRNC, Türkiye

    Orhan Korhan

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bozoklar, E., Yilmaz, E. (2020). Research Areas and Suggestions for Sustainable Manufacturing Systems. In: Calisir, F., Korhan, O. (eds) Industrial Engineering in the Digital Disruption Era. GJCIE 2019. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-42416-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-42416-9_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-42415-2

  • Online ISBN: 978-3-030-42416-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation