Skip to content
2000
  1. Home
  2. A-Z Publications
  3. Journal of Fuzzy Logic and Modeling in Engineering
  4. Fast Track Articles
  5. Fast Track Article
image of Evaluation of the Critical Success Factors for Household Product Sustainability

Abstract

Introduction

Sustainability and sustainable development have received growing attention in both industry and academia due to concerns regarding the rapid decrease in natural resources and increase in carbon emissions.

Methods

In this study, we focus on the determination, evaluation, and analysis of the critical success factors in product sustainability by specifically focusing on the household goods industry. In the first phase of the study, we determine the critical success factors by referring to the existing literature and opinions of the experts who have experience in the household goods industry. Next, we use a trapezoidal type-2 fuzzy AHP algorithm to rank the determined criteria and discuss the main findings from a practical point of view.

Results

Computational results bring several important managerial insights. First, we observe that all three aspects of sustainability (economic, environmental, and social) should be considered to ensure product sustainability. Second, the analysis reveals that cost (economic), quality (economic), generated waste and emission during the life cycle (environmental), energy and water consumption during the life cycle (environmental), and occupational health and safety (social) are among the highly ranked criteria.

Conclusion

In order to increase product sustainability, the companies should determine ways to decrease water usage, energy usage, carbon emission, and waste without neglecting the cost and quality of the product and without ignoring occupational health and safety.

© 2024 Bentham Science Publishers
Loading

Article metrics loading...

/content/journals/flme/10.2174/0126662949323603240830054929
2024-10-09
2024-11-26

  • From This Site

    /content/journals/flme/10.2174/0126662949323603240830054929
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Luthra S. Garg D. Haleem A. An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective. Resour. Policy 2015 a 46 37 50 10.1016/j.resourpol.2014.12.006
    [Google Scholar]
  2. Luthra S. Garg D. Haleem A. Critical success factors of green supply chain management for achieving sustainability in Indian automobile industry. Prod. Plann. Contr. 2015 b 26 5 339 362
    [Google Scholar]
  3. Paul S. Ali S.M. Hasan M.A. Paul S.K. Kabir G. Critical success factors for supply chain sustainability in the wood industry: an integrated PCA-ISM model. Sustainability 2022 14 3 1863 10.3390/su14031863
    [Google Scholar]
  4. Dyllick T. Rost Z. Towards true product sustainability. J. Clean. Prod. 2017 162 346 360 10.1016/j.jclepro.2017.05.189
    [Google Scholar]
  5. Wittstruck D. Teuteberg F. Understanding the success factors of sustainable supply chain management: empirical evidence from the electrics and electronics industry. Corp. Soc. Resp. Environ. Manag. 2012 19 3 141 158 10.1002/csr.261
    [Google Scholar]
  6. Yadav S. Singh S.P. Blockchain critical success factors for sustainable supply chain. Resour. Conserv. Recycling 2020 152 104505 10.1016/j.resconrec.2019.104505
    [Google Scholar]
  7. Nilsson F. Göransson M. Critical factors for the realization of sustainable supply chain innovations - Model development based on a systematic literature review. J. Clean. Prod. 2021 296 126471 10.1016/j.jclepro.2021.126471
    [Google Scholar]
  8. Dias G.P. Silva M. Revealing performance factors for supply chain sustainability: A systematic literature review from a social capital perspective. Braz. J. Oper. Prod. Manag. 2021 19 1 1 18 10.14488/BJOPM.2021.037
    [Google Scholar]
  9. Agrawal V. Mohanty R.P. Agarwal S. Dixit J.K. Agrawal A.M. Analyzing critical success factors for sustainable green supply chain management. Environ. Dev. Sustain. 2023 25 8 8233 8258 10.1007/s10668‑022‑02396‑2
    [Google Scholar]
  10. Horne R.E. Limits to labels: The role of eco‐labels in the assessment of product sustainability and routes to sustainable consumption. Int. J. Consum. Stud. 2009 33 2 175 182 10.1111/j.1470‑6431.2009.00752.x
    [Google Scholar]
  11. Ghadimi P. Azadnia A.H. Mohd Yusof N. Mat Saman M.Z. A weighted fuzzy approach for product sustainability assessment: a case study in automotive industry. J. Clean. Prod. 2012 33 10 21 10.1016/j.jclepro.2012.05.010
    [Google Scholar]
  12. Shuaib M. Seevers D. Zhang X. Badurdeen F. Rouch K.E. Jawahir I.S. Product sustainability index (ProdSI) a metrics‐based framework to evaluate the total life cycle sustainability of manufactured products. J. Ind. Ecol. 2014 18 4 491 507 10.1111/jiec.12179
    [Google Scholar]
  13. Eastwood M.D. Haapala K.R. A unit process model based methodology to assist product sustainability assessment during design for manufacturing. J. Clean. Prod. 2015 108 54 64 10.1016/j.jclepro.2015.08.105
    [Google Scholar]
  14. Whitehead J. Prioritizing sustainability indicators: Using materiality analysis to guide sustainability assessment and strategy. Bus. Strategy Environ. 2017 26 3 399 412 10.1002/bse.1928
    [Google Scholar]
  15. He B. Luo T. Huang S. Product sustainability assessment for product life cycle. J. Clean. Prod. 2019 206 238 250 10.1016/j.jclepro.2018.09.097
    [Google Scholar]
  16. Dereli T. Altun K. Technology evaluation through the use of interval type-2 fuzzy sets and systems. Comput. Ind. Eng. 2013 65 4 624 633 10.1016/j.cie.2013.05.012
    [Google Scholar]
  17. Buckley J.J. Fuzzy hierarchical analysis. Fuzzy Sets Syst. 1985 17 3 233 247 10.1016/0165‑0114(85)90090‑9
    [Google Scholar]
  18. Mendel J.M. John R.I. Liu F. Interval type-2 fuzzy logic systems made simple. IEEE Trans. Fuzzy Syst. 2006 14 6 808 821 10.1109/TFUZZ.2006.879986
    [Google Scholar]
  19. Chen S.M. Lee L.W. Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Expert Syst. Appl. 2010 37 4 2790 2798 10.1016/j.eswa.2009.09.012
    [Google Scholar]
  20. Kahraman C. Öztayşi B. Uçal Sarı İ. Turanoğlu E. Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowl. Base. Syst. 2014 59 48 57 10.1016/j.knosys.2014.02.001
    [Google Scholar]
  21. Celik E. Gumus A.T. Alegoz M. 2013 A trapezoidal type-2 fuzzy mcdm method to identify and evaluate critical success factors for humanitarian relief logistics management J. Intell. Fuz. Sys. 27 6 168 173
    [Google Scholar]
  22. Saaty T.L. The analytic hierarchy process. Math. Model. 1980 9 3-5
    [Google Scholar]
  23. Go T.F. Wahab D.A. Hishamuddin H. Multiple generation life-cycles for product sustainability: the way forward. J. Clean. Prod. 2015 95 16 29 10.1016/j.jclepro.2015.02.065
    [Google Scholar]
  24. Brockhaus S. Fawcett S. Kersten W. Knemeyer M. A framework for benchmarking product sustainability efforts. Benchmarking 2016 23 1 127 164 10.1108/BIJ‑09‑2014‑0093
    [Google Scholar]
  25. Fiksel J. McDaniel J. Spitzley D. Measuring product sustainability J. Sustain. Prod. Des. 1998 7 7 18
    [Google Scholar]
/content/journals/flme/10.2174/0126662949323603240830054929
Loading
Evaluation of the Critical Success Factors for Household Product Sustainability
Bentham Science Publishers ; https://doi.org/10.2174/0126662949323603240830054929
/content/journals/flme/10.2174/0126662949323603240830054929
/content/journals/flme/10.2174/0126662949323603240830054929
Loading

Data & Media loading...


  • Article Type:     Research Article
Keywords: Product sustainability ; household goods industry ; MCDM ; fuzzy AHP ; type-2 fuzzy sets ; fuzzy MCDM

Most Cited Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test