IDEAS home Printed from https://ideas.repec.org/p/rff/dpaper/dp-02-48.html
   My bibliography  Save this paper

A Flexible Inventory Model for Municipal Solid Waste Recycling

Author

Listed:
  • Shih, Jhih-Shyang

    (Resources for the Future)

  • Louis, Garrick

Abstract

Most of the United States have laws mandating the recycling of municipal solid waste (MSW). In order to comply, municipalities recycle quotas of materials, without regard to fluctuating prices. An inventory system is proposed that allows municipalities to be sensitive to materials prices as they recycle in accordance with state mandates. A dynamic model is developed; it uses historical secondary material prices as exogenous inputs to minimize the net present value of MSW recycling system cost. The model provides a cost-effective method for municipalities to achieve their MSW recycling targets. The savings is approximately $1.43 per ton of MSW generated based on total MSW management costs of $13.5 per ton. The model also allows one to investigate the effectiveness of various strategies for increasing the recycling rate. These strategies include: reducing the transportation cost for recyclables, supporting the market price of selected secondary materials, and landfill bans on selected materials. This model may also be used to investigate the effect of market price changes on the portfolio of materials held in inventory for recycling.

Suggested Citation

  • Shih, Jhih-Shyang & Louis, Garrick, 2002. "A Flexible Inventory Model for Municipal Solid Waste Recycling," RFF Working Paper Series dp-02-48, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-02-48
    as

    Download full text from publisher

    File URL: http://www.rff.org/RFF/documents/RFF-DP-02-48.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. P. Starreveld & Ekko Ierland, 1994. "Recycling of plastics: A materials balance optimisation model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 4(3), pages 251-264, June.
    2. Palmer, Karen & Sigman, Hilary & Walls, Margaret, 1997. "The Cost of Reducing Municipal Solid Waste," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 128-150, June.
    3. van der Laan, Erwin & Dekker, Rommert & Salomon, Marc & Ridder, Ad, 1996. "An (s, Q) inventory model with remanufacturing and disposal," International Journal of Production Economics, Elsevier, vol. 46(1), pages 339-350, December.
    4. Masui, T. & Morita, T. & Kyogoku, J., 2000. "Analysis of recycling activities using multi-sectoral economic model with material flow," European Journal of Operational Research, Elsevier, vol. 122(2), pages 405-415, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mavrotas, George & Gakis, Nikos & Skoulaxinou, Sotiria & Katsouros, Vassilis & Georgopoulou, Elena, 2015. "Municipal solid waste management and energy production: Consideration of external cost through multi-objective optimization and its effect on waste-to-energy solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1205-1222.
    2. Fumin Deng & Yanjie Li & Huirong Lin & Jinrui Miao & Xuedong Liang, 2020. "A BWM-TOPSIS Hazardous Waste Inventory Safety Risk Evaluation," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    3. Ordoñez, Isabel & Rahe, Ulrike, 2013. "Collaboration between design and waste management: Can it help close the material loop?," Resources, Conservation & Recycling, Elsevier, vol. 72(C), pages 108-117.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas C. Kinnaman & Don Fullerton, 2002. "The Economics of Residential Solid Waste Management," Chapters, in: Don Fullerton & Thomas C. Kinnaman (ed.), The Economics of Household Garbage and Recycling Behavior, chapter 1, pages 1-48, Edward Elgar Publishing.
    2. Shmelev, S.E. & Powell, J.R., 2006. "Ecological-economic modelling for strategic regional waste management systems," Ecological Economics, Elsevier, vol. 59(1), pages 115-130, August.
    3. Dolf J. Gielen & Yuichi Moriguchi, 2002. "Materials policy design," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 5(1), pages 17-37, March.
    4. Dolf Gielen & Yuichi Moriguchi, 2002. "Materials policy design," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 5(1), pages 17-37, March.
    5. van Beukering, Pieter J.H. & van den Bergh, Jeroen C.J.M., 2006. "Modelling and analysis of international recycling between developed and developing countries," Resources, Conservation & Recycling, Elsevier, vol. 46(1), pages 1-26.
    6. Sy, Charlle, 2017. "A policy development model for reducing bullwhips in hybrid production-distribution systems," International Journal of Production Economics, Elsevier, vol. 190(C), pages 67-79.
    7. Eduardo Ley & Molly K. Macauley & Stephen W. Salant, "undated". "Spatially and intertemporally efficient waste management: The costs of interstate flow control," Working Papers 97-07, FEDEA.
    8. Etienne Lorang & Antonello Lobianco & Philippe Delacote, 2023. "Increasing Paper and Cardboard Recycling: Impacts on the Forest Sector and Carbon Emissions," Post-Print hal-04690101, HAL.
    9. Acuff, Kaylee & Kaffine, Daniel T., 2013. "Greenhouse gas emissions, waste and recycling policy," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 74-86.
    10. Cecere, Grazia & Mancinelli, Susanna & Mazzanti, Massimiliano, 2014. "Waste prevention and social preferences: the role of intrinsic and extrinsic motivations," Ecological Economics, Elsevier, vol. 107(C), pages 163-176.
    11. Numata, Daisuke, 2009. "Economic analysis of deposit–refund systems with measures for mitigating negative impacts on suppliers," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 199-207.
    12. Cui, Hailong & Sošić, Greys, 2019. "Recycling common materials: Effectiveness, optimal decisions, and coordination mechanisms," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1055-1068.
    13. Richter, Knut & Dobos, Imre, 1999. "Analysis of the EOQ repair and waste disposal problem with integer setup numbers," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 463-467, March.
    14. Chen, Yenming J. & Sheu, Jiuh-Biing & Lirn, Taih-Cherng, 2012. "Fault tolerance modeling for an e-waste recycling supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 897-906.
    15. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    16. Bayindir, Z. Pelin & Erkip, Nesim & Gullu, Refik, 2003. "A model to evaluate inventory costs in a remanufacturing environment," International Journal of Production Economics, Elsevier, vol. 81(1), pages 597-607, January.
    17. Rubí Medina-Mijangos & Luis Seguí-Amórtegui, 2020. "Research Trends in the Economic Analysis of Municipal Solid Waste Management Systems: A Bibliometric Analysis from 1980 to 2019," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    18. van der Laan, Erwin & Salomon, Marc, 1997. "Production planning and inventory control with remanufacturing and disposal," European Journal of Operational Research, Elsevier, vol. 102(2), pages 264-278, October.
    19. Feng, Yan & Viswanathan, S., 2014. "Heuristics with guaranteed performance bounds for a manufacturing system with product recovery," European Journal of Operational Research, Elsevier, vol. 232(2), pages 322-329.
    20. Ek, Claes & Miliute-Plepiene, Jurate, 2018. "Behavioral spillovers from food-waste collection in Swedish municipalities," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 168-186.

    More about this item

    Keywords

    Municipal Solid Waste; Recycling; Inventory; Optimization;
    All these keywords.

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rff:dpaper:dp-02-48. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Resources for the Future (email available below). General contact details of provider: https://edirc.repec.org/data/rffffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.