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A fuzzy decision support system for evaluating Lean-Green and company-specific production system

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Abstract

Lean production is regarded as systematic solution for identifying and eliminating waste through continuous improvement of manufacturing processes to meet customers’ requirements. Due to rising environmental concerns and the significant environmental impact of companies operations, issues such as environmental management and green production are on board agendas. In essence, green production seeks to reduce the environmental impacts of business processes. In order to examine green production, an original equipment manufacturer in the supply chain of tractor manufacturing industry is selected for this work to enable a focus on lean production aspects and its specific requirements to evaluate a company-specific production system (XPS). The results suggest that the company utilizes six lean-green production criteria including suitable and green packaging, quality improvement, waste reduction, environmental pollution reduction, transport management and additional transportation reduction, and cost reduction. Furthermore, continuous improvement and integrated auditing are selected as two critical and fundamental elements with the highest ranks, regarding the relationships between the XPS elements and lean-green production criteria.

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Data availability

The data that support the findings of this study are openly available. The authors declare that the data are not available and can be presented upon the request from the readers.

Notes

  1. Toyota Material Handling

  2. Scania Production System

  3. Volvo Production System

  4. Volvo Cars Manufacturing System

  5. Best-Worst Method

Abbreviations

XPS:

company-specific production system

DEMATEL:

Decision-Making Trial and Evaluation Laboratory

BWM:

Best Worst Method

QFD:

quality function deployment

AHP:

analytic hierarchy process

KPI:

key performance indicator

OHS:

Occupational Health and Safety

QMS:

Quality Management System

References

  • Akif Gundu M, Demir S, Paksoy T (2021) Matching functions of supply chain management with smart and sustainable tools: a novel hybrid BWM-QFD based method. Comput Ind Eng 162:10776. https://doi.org/10.1016/j.cie.2021.107676

    Article  Google Scholar 

  • Andrea A, Jabbour CJC, Adamo ID, Gastaldi M, Settemre-Blundo D (2022) Green recovery in the mature manufacturing industry: the role of the green-circular premium and sustainability certification in innovative efforts. Ecol Econ 193:107311

    Article  Google Scholar 

  • Anthony Inman R, Green KW (2018) Lean and green combine to impact environment and operational performance. Int J Prod Res 56:4802–4818. https://doi.org/10.1080/00207543.2018.1447705

    Article  Google Scholar 

  • Avakh Darestani S, Shamami NH (2019) Performance evaluation of lean production based on balanced score card method using ANP and SIR: a case from Iranian home appliance industry. Opsearch 56(12):717–738

    Article  Google Scholar 

  • Bergmiller GG, McCright PR (2009) Lean manufacturers’ transcendence to green manufacturing. In: Proceedings of the 2009 Industrial Engineering Research Conference, Miami, FL

  • Blücher D, Öjmertz B (2008) Utmana dina processer, Resurseffektiva tankesätt och principer: en introduktion till Lean production. Swerea-IVF, Mölndal, Sweden

    Google Scholar 

  • Cabral L, Amanor KS (2021) Tractors, states, markets and agrarian change in Africa. J Peasant Stud 49(1):129–136. https://doi.org/10.1080/03066150.2021.1918115

    Article  Google Scholar 

  • Davari, S., Pure knowledge - concepts and theory, Kindly Publishing, fourth edition, Second edition, (2009).

  • Fazlzadeh A, Hagh MM (2014) Lean production system, green movement. In: Fourth National Conference on Health and Environment and Sustainable Development. Islamic Azad University, Bandar Abbas, Bandar Abbas, Iran

    Google Scholar 

  • Fiorello M, Gladysz B, Corti D, Wybraniak-Kujawa M, Ejsmont K, Sorlini M (2023) Towards a smart lean green production paradigm to improve operational performance. J Clean Prod 413:137418

    Article  Google Scholar 

  • Florentina M, Alves A (2015) Lean companies in the track of sustainability. In: 6th International Conference on Mechanics and Materials in Design, Ponta Delgada, Azores, pp 56–76

  • Harlin U, Moestam Ahlström L, Medbo L, Svenningstorp J (2008) A production system assessment approach within Swedish automotive industry. In: Proceedings of the Swedish. Production Symposium. Stockholm, Sweden, pp 18–20

    Google Scholar 

  • Harvey T (1995) An education 21 programme: orienting environmental education towards sustainable development and capacity building for Rio. Environmentalist 15:202–210. https://doi.org/10.1007/BF01901576

    Article  Google Scholar 

  • Hosseini Anvari H, Aghdashi SB (2008) Lean thinking in manufacturing management. In: Fourth International Project Management Conference. Ariana Research Group, Tehran

    Google Scholar 

  • Jayaram J, Das A, Nicolae M (2010) Looking beyond the obvious: unraveling the Toyota production system. Int J Prod Econ 128:280–291

    Article  Google Scholar 

  • Kurdve M, Zackrisson M, Wiktorsson M, Harlin U (2014) Lean and green integration into production system models – experiences from Swedish industry. J Clean Prod 85:180–190. https://doi.org/10.1016/j.jclepro.2014.04.013

    Article  Google Scholar 

  • Life and Style Hub (2022) Role of tractors in agricultural production boost. In: Role of tractors in agricultural production boost. Life & Style Hub lifeandstylehub.com

    Google Scholar 

  • Liker J (2004) The Toyota way: 14 management principles from the world’s greatest manufacturer. McGraw-Hill, New York, NY

    Google Scholar 

  • Lotfi M, Saghiri S (2018) Disentangling resilience, agility and leanness: conceptual development and empirical analysis. J Manuf Technol Manag 29(1):168–197. https://doi.org/10.1108/JMTM-01-2017-0014

    Article  Google Scholar 

  • Magnusson K, Kroslid D, Bergman B (2003) Six sigma: the pragmatic approach. Student literature, Lund, Sweden

    Google Scholar 

  • Netland T (2013) Exploring the phenomenon of company-specific production systems: one-best-way or own-best-way? Int J Prod Res 51:1084–1097

    Article  Google Scholar 

  • Ninlawan C (2010) The implementation of green supply chain management practices in electronics industry. In: Proceedings of the International Multi conference of Engineers and Computer Scientists, pp 17–19

    Google Scholar 

  • Pampanelli AB, Found P, Bernardes AM (2013) A lean & green model for a production cell. J Clean Prod 85:19–30

    Article  Google Scholar 

  • Powell D, Riezebos J, Strandhagen JO (2013) Lean production and ERP systems in small-and medium-sized enterprises: ERP support for pull production. Int J Prod Res 51:395–409

    Article  Google Scholar 

  • Pozzi R, Cannas VG, Ciano MP (2022) Linking data science to lean production: a model to support lean practices. Int J Prod Res 60:6866–6887. https://doi.org/10.1080/00207543.2021.1946192

    Article  Google Scholar 

  • Rao P (2006) Greening production: a south-east Asian experience. Int J Oper Prod Manag 24(3):289–320

    Article  Google Scholar 

  • Reda H, Dvivedi A (2022) Decision-making on the selection of lean tools using fuzzy QFD and FMEA approach in the manufacturing industry. Expert Syst Appl 192:1–12. https://doi.org/10.1016/j.eswa.2021.116416

    Article  Google Scholar 

  • Shahin A, Janatyan N (2010) Group technology (GT) and lean production: a conceptual model for enhancing productivity. Int Bus Res 3:105–118. https://doi.org/10.5539/ibr.v3n4p105

    Article  Google Scholar 

  • Singh C, Singh D, Khamba JS (2021) Understanding the key performance parameters of green lean performance in manufacturing industries. Mater Today:Proc 46:111–115

    Google Scholar 

  • Tortorella GL, Fettermann D, Cauchick Miguel PA, Sawhney R (2019) Learning organization and lean production: an empirical research on their relationship. Int J Prod Res 58(12):3650–3666. https://doi.org/10.1080/00207543.2019.1633028

    Article  Google Scholar 

  • Vahabi Nejat S, Avakh Darestani S, Omidvari M, Adibi MA (2021) Evaluation of green lean production in textile industry: hybrid fuzzy decision-making framework. Environ Sci Pol 29:11590–11611

    Article  Google Scholar 

  • Womack JP, Jones DT, Ross D (1990) The machine that changed the world: the story of lean production e Toyota’s secret weapon in the global car wars that is now revolutionizing world industry. Rawson Associates, New York, NY

    Google Scholar 

  • Zaim S, Şevkli M (2002) The methodology of quality function deployment with crisp and fuzzy approaches and an application in the Turkish shampoo industry. J Econ Soc Res 4:27–32

    Google Scholar 

  • Zhenyuan J, Xiaohong LU, Wei W, Defeng J, Lijun W (2011) Design and implementation of lean facility layout system of a production line. Int J Indust Eng Theory Appl Pract 18:260–269

    Google Scholar 

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Authors and Affiliations

  1. Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

    Elmira Aghaei

  2. Guildhall School of Business and Law, London Metropolitan University, London, UK

    Soroush Avakh Darestani

Authors
  1. Elmira Aghaei
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  2. Soroush Avakh Darestani
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Contributions

Elmira Aghaei (EA) has contributed to the methodology, investigation, project administration, validation, data collection, and software. Soroush Avakh Darestani (SAD) contributed to the conceptualization, writing—review and editing, visualization, and supervision.

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Correspondence to Soroush Avakh Darestani.

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Aghaei, ., Darestani, S.A. A fuzzy decision support system for evaluating Lean-Green and company-specific production system. Environ Sci Pollut Res 31, 5444–5456 (2024). https://doi.org/10.1007/s11356-023-30667-6

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