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Ecological Supply Chain: Tools For Evaluating E-Waste – World Perspective

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Warianty tytułu
PL
Ekologiczny łańcuch dostaw: narzędzia do oceny E-odpadów – globalna perspektywa
Języki publikacji
EN
Abstrakty
EN
When a company's supply chain has achieved a desirable degree of eco-friendliness in all regards, from a sustainability perspective, its performance will be satisfactory. Since the closed-loop e-waste supply chain's operations are primarily focused on achieving sustainability objectives related to the manufacturing, distribution, reusing, and discarding electrical components, it is crucial to evaluate its success in this area. In order to monitor the performance of supply chains and enhance the processes, the supply chain operations reference model offers suggestions and benchmarking tools. In this study, a conceptual framework is illustrated to show how these standards could be used in the E-waste supply chain to link business processes, metrics, industry standards, and technology in order to enhance the relationship and coordination between the supply chain members and to increase sustainability throughout the supply chain. Insufficient attention so far has been paid to the SCOR model's sustainability criteria, according to an assessment of the literature. Consequently, in the wake of portraying the structure of Supply Chain Operation Reference model, we make sense of which credits should be included in Supply Chain Operation Reference so to reflect manageability and which cycles and practices are related with every standard or should be remembered for Supply Chain Operation Reference to lay out the connection between execution, cycles, and practices.
Kiedy łańcuch dostaw firmy osiągnie pożądany stopień przyjazności dla środowiska pod każdym względem, z punktu widzenia zrównoważonego rozwoju, jego wyniki będą zadowalające. Ponieważ operacje łańcucha dostaw E-odpadów w obiegu zamkniętym koncentrują się przede wszystkim na osiąganiu celów zrównoważonego rozwoju związanych z produkcją, dystrybucją, ponownym użyciem i utylizacją komponentów elektrycznych, kluczowe znaczenie ma ocena jego sukcesu w tej dziedzinie. Aby monitorować wydajność łańcuchów dostaw i ulepszać procesy, model referencyjny operacji łańcucha dostaw oferuje sugestie i narzędzia do analizy porównawczej. W tym badaniu nakreślono ramy koncepcyjne, aby pokazać, w jaki sposób standardy te można wykorzystać w łańcuchu dostaw elektrośmieci w powiązaniu z procesami biznesowymi, wskaźnikami, standardami branżowymi i technologią w celu wzmocnienia relacji i koordynacji między członkami łańcucha dostaw i aby zwiększyć poziom zrównoważonego rozwoju w całym łańcuchu dostaw. Jak dotąd, co potwierdza dokonany przegląd literatury, kryteria zrównoważonego rozwoju modelu SCOR nie poświęcano wystarczającej uwagi. W związku z tym, po przedstawieniu struktury Modelu referencyjnego operacji łańcucha dostaw, rozumiemy, które kredyty powinny zostać uwzględnione w referencyjnej operacji łańcucha dostaw, aby odzwierciedlić łatwość zarządzania oraz które cykle i praktyki są związane z każdym standardem lub należy o nich pamiętać w odniesieniu do łańcucha dostaw, co umożliwia ukazanie związku pomiędzy wykonaniem, cyklami i praktykami.
Czasopismo
Rocznik
Strony
167--182
Opis fizyczny
Bibliogr. 28 poz., fig., tab.
Twórcy
autor
  • Tongji University, School of Economic and Management, China
  • Bahria Business School, Department of Business Studies, University Karachi Campus, Karachi, Pakistan
  • An Independent Researcher, Ex-Research Scholar at NIT Durgapur, Durgapur, West Bengal, India
Bibliografia
  • 1. ARJUNA A., SANTOSO S., HERYANTO R. M., 2022, Green Supply Chain Performance Measurement using Green SCOR Model in Agriculture Industry: A Case Study, Jurnal Teknik Industri 24(1): 53-60, https://doi.org/10.9744/JTI.24.1.53-60.DOI: https://doi.org/10.9744/jti.24.1.53-60
  • 2. CHOPRA A., GOLWALA D., CHOPRA A. R., 2022, SCOR (Supply Chain Operations Reference) model in textile industry, Journal of Southwest Jiaotong University 57(1): 368-378, https://doi.org/10.35741/ISSN.0258-2724.57.1.33.DOI: https://doi.org/10.35741/issn.0258-2724.57.1.33
  • 3. DURAN F., ZAFEIRAKOPOULOS, İ.B., 2018, Environmental Risk Assessment of E-waste in Reverse Logistics Systems Using MCDM Methods, Proceedings of the International Symposium for Production Research: 590-603, https://doi.org/10.1007/978-3-319-92267-6_49.DOI: https://doi.org/10.1007/978-3-319-92267-6_49
  • 4. GHOSH B., MEKHILEF S., AHMAD S., GHOSH S.K, 2022, A Review on Global Emissions by E-Products Based Waste: Technical Management for Reduced Effects and Achieving Sustainable Development Goals, Sustainability 14(7), 4036, https://doi.org/10.3390/su14074036.DOI: https://doi.org/10.3390/su14074036
  • 5. , E-waste producing countries, 2020, https//scholar.google.com.
  • 6. HERVANI A., NANDI S., HELMS M., SARKIS J., 2022, A performance measurement framework for socially sustain-able and resilient supply chains using environmental goods valuation methods, Sustainable Production and Consumption 30(3): 31-52.DOI: https://doi.org/10.1016/j.spc.2021.11.026
  • 7. HOSSAIN M., SULALA M.Z.F. HAMADANI A., RAHMAN T., 2015, E-waste: a challenge for sustainable develop-ment, Journal of Health and Pollution 5(9): 3-11.DOI: https://doi.org/10.5696/2156-9614-5-9.3
  • 8. JAIN V., KUMAR S., MOSTOFI A., MOMENI A., 2022, Sustainability performance evaluation of the E-waste closed-loop supply chain with the SCOR model, Waste Management 147: 36-47, https://doi.org/10.1016/J.WASMAN.2022.05.010.DOI: https://doi.org/10.1016/j.wasman.2022.05.010
  • 9. KHOKHAR M., 2019, Occupational health & safety implementation framework for Pakistani construction industry in Sindh province, 3C Tecnología. Glosas de innovación aplicadas a la pyme Special Issue: 253-285.DOI: https://doi.org/10.17993/3ctecno.2019.specialissue3.253-285
  • 10. KHOKHAR M., HOU Y., RAFIQUE M. A., IQBAL W., 2020, Evaluating the social sustainability criteria of supply chain management in manufacturing industries: A role of BWM in MCDM, Problemy Ekorozwoju/ Problems of Sustainable Development 15(2): 185-194, https://doi.org/10.35784/pe.2020.2.18.DOI: https://doi.org/10.35784/pe.2020.2.18
  • 11. KHOKHAR, M., IQBAL, W., HOU, Y., ABBAS, M., PROCESSES, FATIMA A., 2020, Assessing supply chain performance from the perspective of Pakistan’s manufacturing industry through social sustainability, Processes 8(9): 1064.DOI: https://doi.org/10.3390/pr8091064
  • 12. KHOKHAR M., ZIA S., ISLAM,T., SHARMA A., WASIM I., 2022, Going green supply chain management during COVID-19, assessing the best supplier selection criteria: A triple bottom line (tbl) approach, Problemy Ekorozwoju/ Problems of Sustainable Development 17(1)2022: 36-51, https://doi.org/10.35784/pe.2022.1.04.DOI: https://doi.org/10.35784/pe.2022.1.04
  • 13. MAHAR A., MALIK N., R., QADIR A., AHMED, T., KHAN, Z., KHAN, M.L., 2007, Review and Analysis of Current Solid Waste Management Situation in Urban Areas of Pakistan, https://www.semanticscholar.org/paper/Review-and-Analysis-of-Current-Solid-Waste-in-Urban-Mahar-Malik/3c16c763d19186cb3e7cb18b4f2548ad5ca3c0d1.
  • 14. OZDEMIR D., SHARMA M., DHIR A., DAIM T., 2022, Supply chain resilience during the COVID-19 pandemic, Technology in Society 68: 101847, https://doi.org/10.1016/J.TECHSOC.2021.101847.DOI: https://doi.org/10.1016/j.techsoc.2021.101847
  • 15. PRAKASH C., BARUA M.K., 2016, A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry, Sustainable Production and Consumption 7: 66-78.DOI: https://doi.org/10.1016/j.spc.2016.04.001
  • 16. PRIYADARSHINI, J., SINGH, R., MISHRA, R., BAG S., 2022, Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach, Operations Management Research 15, 567-588.DOI: https://doi.org/10.1007/s12063-022-00259-7
  • 17. RAZAVI N., GHOLIZADEH H., NAYERI S., ASHRAFI T. A., 2021, A robust optimization model of the field hospi-tals in the sustainable blood supply chain in crisis logistics, Journal of the Operational Research Society 72(12): 2804-2828, https://doi.org/10.1080/01605682.2020.1821586.DOI: https://doi.org/10.1080/01605682.2020.1821586
  • 18. REHMAN A., MUHAMMAD S., YAQUB R.M,S., 2021, Determining The Influence Of Green Transformational Leadership, Green Innovation And Green Hrm Practices On Environmental Performance Of Hospitality Industry, Bulletin of Business and Economics 10(2): 100-114.
  • 19. RIAHEE M., ZANDIEH. M., 2018, Disassembly line balancing based on the Kano model and Fuzzy MCDM methods, the case: e-Waste Recycling Line, Journal of Industrial Management Studies 16(49): 1-36.
  • 20. SABBIR M., KHAN T.T, DAS A.,AKTER S., HOSSAIN A., 2022, Understanding the determinants of consumers’ reverse exchange intention as an approach to e-waste recycling: a developing country perspective, Emerald Insight, https://www.emerald.com/insight/content/doi/10.1108/APJBA-11-2021-0565/full/html?skipTracking=true.DOI: https://doi.org/10.1108/APJBA-11-2021-0565
  • 21. SHAHABUDDIN M., UDDIN M., CHOWDHURY J.I., AHMED S.F., UDDIN M.N., MOFIJUR M., UDDIN MA., 2022, undefined. (n.d.). A review of the recent development, challenges, and opportunities of electronic waste (e-waste), International Journal of Environmental Science and Technology 20: 4513-4520.DOI: https://doi.org/10.1007/s13762-022-04274-w
  • 22. SINGH M., PANT M., 2021, A review of selected weighing methods in MCDM with a case study, International Journal of System Assurance Engineering and Management 12(1): 126-144, https://doi.org/10.1007/S13198-020-01033-3.DOI: https://doi.org/10.1007/s13198-020-01033-3
  • 23. SUDUSINGHE J. I., SEURING S., 2022, Supply chain collaboration and sustainability performance in circular economy: A systematic literature review, International Journal of Production Economics 245: 108402, https://doi.org/10.1016/J.IJPE.2021.108402.DOI: https://doi.org/10.1016/j.ijpe.2021.108402
  • 24. TORTORELLA G., PRASHAR A., SAMSON D., KURNIA S., FOGLIATTO F.S., CAPURRO D., ANTONY J., 2022, Resilience development and digitalization of the healthcare supply chain: an exploratory study in emerging econo-mies, Emerald Insight, https://www.emerald.com/insight/content/doi/10.1108/IJLM-09-2021-0438/full/html?skipTracking= true.DOI: https://doi.org/10.1108/IJLM-09-2021-0438
  • 25. UDBYE A., 2014, Supply chain risk management in India: An empirical study of sourcing and operations disruptions, their frequency, severity, mitigation methods, and expectations, Portland State University, https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=2813&context=open_access_etds.
  • 26. WANG J., LI W., MISHIMA N., ADACHI T., 2022, Exploring the optimal reverse supply chain for e-waste treatment under Chinese government subsidy, Waste Management 137: 128-138, https://doi.org/10.1016/J.WASMAN.2021.10.031.DOI: https://doi.org/10.1016/j.wasman.2021.10.031
  • 27. XU J., HUANG Y., SHI Y., LI R., 2022, Reverse supply chain management approach for municipal solid waste with waste sorting subsidy policy, Socio-Economic Planning Sciences 81: 101180.DOI: https://doi.org/10.1016/j.seps.2021.101180
  • 28. YONG Y.S., LIM Y.A., ILANKOON I.M.S.K., 2019, An analysis of electronic waste management strategies and recy-cling operations in Malaysia: Challenges and future prospects, Journal of Cleaner Production 224: 151-166, https://doi.org/10.1016/j.jclepro.2019.03.205.DOI: https://doi.org/10.1016/j.jclepro.2019.03.205
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8af2e25d-9622-49f2-aaca-0918679842d2
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