Journals / An International Journal of Optimization and Control: Theories & Applications (IJOCTA) / 2019 / Cilt: 9 - Sayı: 2

A bi-objective model for sustainable logistics and operations planning of WEEE recovery

Pages
89–99
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results show thatweight-based targets enhance recovery amounts.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The Triple-bottom-line concept suggests that firms must consider theenvironmental and social impacts of their decisions, beside the economicaspects.
📊
Key Findings & Data:Besides, both weight-based and unit-based WEEE recovery targets are separately considered, as aunique aspect.
💡
Conclusion & Impact:Results show thatweight-based targets enhance recovery amounts.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The Triple-bottom-line concept suggests that firms must consider theenvironmental and social impacts of their decisions, beside the economicaspects. Hence, the sustainability of the firms’ operations can be reached. Thepurpose of this study is to develop a bi-objective, multi-product and multi-period mixed-integer model for the operations planning of electrical-electronicwaste (WEEE) recovery facilities, by considering social (workforce)constraints. Main objective is the minimization of net recycling and logisticscosts offset by the profit earned by recovered material sales, and secondobjective is the maximization of hazardous materials recovery. Collection ofused products from the specified regions is decided and the required machine-hours, inventory and workforce decisions are made. Besides, both weight-based and unit-based WEEE recovery targets are separately considered, as aunique aspect. A sensitivity analysis is conducted with various scrap prices tounderstand operations planning in changing conditions. Results show thatweight-based targets enhance recovery amounts.

🔖

Cite This Article

BAL, A., SATOĞLU, Ş. I., KAPUKAYA, E. N. (2022). A bi-objective model for sustainable logistics and operations planning of WEEE recovery. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 9 - Sayı: 2, 89–99. https://ajindex.com/articles/440611

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (9)

  1. Kumar, S. & Putnam, V. (2008). Cradle to cradle: Reverse logistics strategies and opportunities across three industry sectors. International Journal of Production Economics, 115, 305–315.
  2. Elkington, J. (1994). Towards the sustainable corporation: Win-win-win business strategies for sustainable development. California Management Review, 36(2), 90-100.
  3. Nikolaou, I.E., Evangelinos, K.I. & Allan, S., (2013). A reverse logistics social responsibility evaluation framework based on the triple bottom line approach. Journal of Cleaner Production, 56, 173– 184. Fleischmann, M., Bloemhof-Ruwaard, J. M., Dekker, R., Van der Laan, E., Van Nunen, J. A., & Van Wassenhove, L. N. (1997). Quantitative models for reverse logistics: A review. European Journal of Operational Research, 103(1), 1-17.
  4. Presley, A., Meade, L., & Sarkis, J. (2007). A strategic sustainability justification methodology for organizational decisions: a reverse logistics illustration. International Journal of Production Research, 45(18-19), 4595-4620. Url-1 https://eur- lex.europa.eu/resource.html?uri=cellar:ac89e64f-a4a5-4c13-8d96- 1fd1d6bcaa49.0004.02/DOC_1&format=PDFAccessed 15.11.2017. Url-2https://www.initial.co.uk/waste-legislation/Accessed 15.11.2018. Url-3http://www.environmentlaw.org.uk/rte.asp?id=82Accessed 15.11.2018. Url-4https://www.environment.gov.za/sites/default/files/legislations/nema_amendment_act59.pdfAccessed 15.11.2018. Url-5 http://www.resmigazete.gov.tr/eskiler/2012/05/20120522-5.htmAccessed 15.11.2018. Url-6 http://ec.europa.eu/environment/waste/weee/pdf/final_rep_unu.pdfAccessed 25.06.2017.
  5. Fleischmann, M., Bloemhof-Ruwaard, J. M., Dekker, R., Van der Laan, E., Van Nunen, J. A., & VanWassenhove,L.N.(1997).Quantitativemodels for reverse logistics: A review. European Journal of Operational Research, 103(1),1-17.
  6. Ilgin, M. A., & Gupta, S. M. (2010). Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. Journal of Environmental Management, 91(3), 563-591.
  7. Agrawal, S., Singh, R. K., & Murtaza, Q. (2015). A literature review and perspectives in reverse logistics. Resources, Conservation and Recycling, 97,76-92.
  8. Govindan, K., & Soleimani, H. (2017). A review of reverse logistics and closed-loop supply chains: a Journal of Cleaner Production focus. Journal of Cleaner Production, 142,371-384.
  9. Hu, T.-L., Sheu, J.-B. & Huang, K.-H., (2002). A reverse logistics cost minimization model for the treatment of hazardous wastes. Transportation Re