Skip to main content

Advertisement

SpringerLink
Log in

Sustainability dimensions and PM2.5 in supply chain logistics

  • Original Research
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

Sustainable Supply Chain Management (SSCM) is a topic of growing interest among researchers. Many works have investigated the negative impact of CO2 emission, but have put less emphasis on other emission types. Many works have focused on the economic and environmental dimensions of sustainability but lacked content on the social dimension. Since SSCM is concerned with all aspects of sustainability, this work undertakes the three dimensions of sustainability and models particulate pollution (PM2.5) which has been cited in the literature to have a negative impact on human health. The paper constructs a mathematical programming model that minimizes the transportation costs and the undesirable social medical costs for remedying the release of PM2.5 into the atmosphere. The paper solves a model that evaluates different transportation modes, transportation costs, carbon emissions, PM2.5, medical costs, and capturing options. Moreover, the work utilizes a Monte Carlo simulation to best present the inherent variations in the model. Largely, the work provides stakeholders with transportation mode choices and greening opportunity investments to minimize the overall transportation costs while respecting physical and operational constraints.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Abdallah, T., Diabat, A., & Simchi-Levi, D. (2010). A carbon sensitive supply chain network problem with green procurement. In: 40th international conference on computers and industrial engineering: soft computing techniques for advanced manufacturing and service systems (CIE40 2010).

  • ACS. (2014). American community survey-an ongoing statistical survey by the U.S. Census Bureau, 2014. http://factfinder2.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t. Retrieved on January 27, 2014.

  • Ageron, B., Gunasekaran, A., & Splanzani, A. (2012). Sustainable supply management: An empirical study. International Journal of Production Economics, 140, 168–182.

    Article  Google Scholar 

  • Alzaman, C. (2013). Effect of excluding travel time variations in urban areas on emissions. Industrial Engineering and Management., 2, 114.

    Article  Google Scholar 

  • Babazadeh, R., Razmi, J., Pishvaee, M. S., & Rabbani, M. (2016). A sustainable second-generation biodiesel supply chain network design problem under risk. Omega, 66, 258–277.

    Article  Google Scholar 

  • Barreto, H., & Howland, F. M. (2005). Introductory econometrics using Monte Carlo simulation with MS excel. New York: Cambridge University Press.

    Book  Google Scholar 

  • Bekkering, J., & Broekhuis, T. A. (2010). Operational modeling of a sustainable gas supply chain. Engineering in Life Sciences, 10(6), 585–594.

    Article  Google Scholar 

  • Bojarski, A., Lainez, J., Espuna, A., & Puigjaner, L. (2009). Incorporating environmental impacts and regulations in a holistic supply chains modeling: An LCA approach. Computers & Chemical Engineering, 33(10), 1747–1759.

    Article  Google Scholar 

  • Brajer, V., & Mead, R. W. (2004). Valuing air pollution mortality in China’s cities. Urban Studies, 41, 1567–1585.

    Article  Google Scholar 

  • CCA. (2012). Canadian Automobile Association. http://www.caa.ca/docs/eng/CAA_Driving_Costs_English.pdf. Retrieved on February 6, 2014.

  • Chung, C.-J., & Wee, H.-M. (2010). Green-product-design value and information-technology investment on replenishment model with remanufacturing. International Journal of Computer Integrated Manufacturing, 23(5), 466–485.

    Article  Google Scholar 

  • Chung, C.-J., & Wee, H.-M. (2011). Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system. International Journal of Production Economics, 129(1), 195–203.

    Article  Google Scholar 

  • Copacino, W. C. (1997). Supply chain management: The basics and beyond. Boca Raton: St. Lucie Press/APICS Series on Resource Management.

    Google Scholar 

  • Corbett, C. J., & DeCroix, G. A. (2001). Shared-savings contracts for indirect materials in supply chains: channel profits and environmental impacts. Management Science, 47(7), 881–893.

    Article  Google Scholar 

  • Currie, B. A., & Bass, B. (2008). Estimates of air pollution mitigation with green plants and green roofs using the UFORE model. Urban Ecosystems., 11, 409–422.

    Article  Google Scholar 

  • Currie, J., Neidell, M., & Schmieder, J. F. (2009). Air pollution and infant health: Lessons from New Jersey. Journal of Health Economics, 28(3), 688–703.

    Article  Google Scholar 

  • Dempsey, N., Brown, C., & Bramley, G. (2012). The key to sustainable urban development in UK cities? The influence of density on social sustainability. Progress in Planning, 77(3), 89–141.

    Article  Google Scholar 

  • Diabat, A., & Govindan, K. (2011). An analysis of the drivers affecting the implementation of green supply chain management. Resources, Conservation and Recycling, 55(6), 659–667.

    Article  Google Scholar 

  • Diabat, A., & Simchi-Levi, D. (2009, December). A carbon-capped supply chain network problem. In 2009 IEEE international conference on industrial engineering and engineering management (pp. 523–527). IEEE.

  • Elkington, J. (2002). Cannibals with forks: the triple bottom line of 21st century business [reprint]. Oxford: Capstone.

    Google Scholar 

  • EPA. (2014a). http://www.epa.gov/hiri/mitigation/greenroofs.htm. Retrieved on January 24, 2014.

  • EPA. (2014b). http://www.epa.gov/hiri/mitigation/trees.htm. Retrieved on January 22, 2014.

  • Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11–32.

    Article  Google Scholar 

  • Ferretti, I., Zanoni, S., Zavanella, L., & Diana, A. (2007). Greening the aluminum supply chain. International Journal of Production Economics, 108(1–2), 236–245.

    Article  Google Scholar 

  • Fichtner, W., Frank, M., & Rentz, O. (2004). Inter-firm energy supply concepts: an option for cleaner energy production. Journal of Cleaner Production, 12(8–10), 891–899.

    Article  Google Scholar 

  • Foran, B., Lenzen, M., Deyb, C., & Bilek, M. (2005). Integrating sustainable chain management with triple bottom line accounting. Ecological Economics, 52(2), 143–157.

    Article  Google Scholar 

  • Gabbar, H. A. (2009). Engineering design of green hybrid energy production and supply chains. Environmental Modeling and Software, 24(3), 423–435.

    Article  Google Scholar 

  • Geldermann, J., Treitz, M., & Rentz, O. (2007). Towards sustainable production networks. International Journal of Production Research, 45(18), 4207–4424.

    Article  Google Scholar 

  • Govindan, K., Khodaverdi, R., & Jafarian, A. (2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, 47, 345–354.

    Article  Google Scholar 

  • Gustafsson, M., Forsberg, B., Orru, H., Åstrom, S., Haben, T., & Sjoberg, K. (2014). Quantification of population exposure to NO 2 , PM 2.5 and PM 10 and estimated health impacts in Sweden 2010. Swedish Environmental Protection Agency, Sweden. https://www.ivl.se/download/18.343dc99d14e8bb0f58b76b7/1446478779885/B2197.pdf. Accessed 10 Oct 2018.

  • Harris, I., Naim, M., Palmer, A., Potter, A., & Mumford, C. (2011). Assessing the impact of cost optimization based on infrastructure modeling on CO2 emissions. International Journal of Production Economics, 131, 313–321.

    Article  Google Scholar 

  • Hugo, A., & Pistikopoulos, E. N. (2005). Environmentally conscious long-range planning and design of supply chain networks. Journal of Cleaner Production, 13(15), 1471–1491.

    Article  Google Scholar 

  • Islam, M. N., Rahman, K.-S., Md Mezbaul, B., Md Ahsan, H., Ando, K., & Hattori, N. (2012). Pollution attenuation by roadside greenbelt in and around urban areas. Urban Forestry & Urban Greening, 11, 460–464.

    Article  Google Scholar 

  • Jim, C. Y., & Chen, W. Y. (2008). Assessing the ecosystem service of air pollutant removal by urban trees in Guangzhou (China). Journal of Environmental Management, 88(4), 665–676.

    Article  Google Scholar 

  • Johnson, J., & Newton, J. (1996). Building green, a guide for using plants on roofs and pavement. London: The London Ecology Unit.

    Google Scholar 

  • Kadziński, M., Tervonen, T., Tomczyk, M. K., & Dekker, R. (2016). Evaluation of multi-objective optimization approaches for solving green supply chain design problems. Omega, 68, 168–184.

    Article  Google Scholar 

  • Kainuma, Y., & Tawara, N. (2006). A multiple attribute utility theory approach to lean and green supply chain management. International Journal of Production Economics, 101(1), 99–108.

    Article  Google Scholar 

  • Kannan, D., Diabat, A., Alrefaei, M., Govindan, K., & Yong, G. (2012). A carbon footprint based reverse logistics network design model. Resources, Conservation and Recycling, 67, 75–79.

    Article  Google Scholar 

  • Keirstead, J., & Shah, N. (2011). Calculating minimum energy urban layouts with mathematical programming and Monte Carlo analysis techniques. Computers, Environment and Urban Systems, 35(5), 368–377.

    Article  Google Scholar 

  • Khoo, H. H., Spedding, T. A., Bainbridge, I., & Taplin, D. M. R. (2001). Creating a green supply chain. Greener Management International. Issue, 35, 71–88.

    Google Scholar 

  • Lin, R.-J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32–39.

    Article  Google Scholar 

  • Liu, Z., Anderson, T., & Cruz, J. (2012). Consumer environmental awareness and competition in two-stage supply chains. European Journal of Operational Research, 218, 602–613.

    Article  Google Scholar 

  • Lu, L. Y. Y., Wu, C. H., & Kuo, T.-C. (2007). Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis. International Journal of Production Research, 45(18), 4317–4331.

    Article  Google Scholar 

  • Mallidis, I., Dekker, R., & Vlachos, D. (2012). The impact of greening on supply chain design and cost: a case for a developing region. Journal of Transport Geography, 22, 118–128.

    Article  Google Scholar 

  • Matsuoka, R. H., & Kaplan, R. (2008). People needs in the urban lanscape: Landscape and urban planning. Landscape and Urban Planning, 84(1), 7–19.

    Article  Google Scholar 

  • Mayer, H. (1999). Air pollution in cities. Atmospheric Environment, 33, 4029–4037.

    Article  Google Scholar 

  • Mota, B., Gomes, M. I., Carvalho, A., & Barbosa-Povoa, A. P. (2015). Towards supply chain sustainability: economic, environmental and social design and planning. Journal of Cleaner Production, 105, 14–27.

    Article  Google Scholar 

  • Nagurney, A., & Toyasaki, F. (2003). Supply chain super networks and environmental criteria. Transportation Research Part D, 8(3), 185–213.

    Article  Google Scholar 

  • Nagurney, A., & Yu, M. (2012). Sustainable fashion supply chain management under oligopolistic competition and brand differentiation. International Journal of Production Economics, 135, 532–540.

    Article  Google Scholar 

  • Naini, S., Aliahmadi, A. R., & Jafari-Eskandari, M. (2011). Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study of an auto industry supply chain. Resources, Conservation and Recycling, 55, 593–603.

    Article  Google Scholar 

  • Nieuwenhuis, P., Beresford, A., & Choi, A. (2012). Shipping or local production? CO2 impact of a strategic decision: An automotive industry case study. International Journal of Production Economics, 140(2012), 138–148.

    Article  Google Scholar 

  • Noci, G. (1997). Designing ‘green’ vendor rating systems for the assessment of a supplier’s environmental performance. European Journal of Purchasing & Supply Management, 3(2), 103–114.

    Article  Google Scholar 

  • Nowak, D. J., Crane, D. E., & Stevens, J. C. (2006). Air pollution removal by urban trees and shrubs in the United States. Urban Forestry and Urban Greening., 4, 115–123.

    Article  Google Scholar 

  • OMA (Ontario Medical Association). (2008). Ontario’s doctors: Thousands of premature deaths due to smog. www.oma.org/Mediaroom/PressReleases/Pages/PrematureDeaths.aspx. Retrieved on July 21, 2010.

  • Ozkir, V., & Basligil, H. (2013). Multi-objective optimization of closed-loop supply chains in uncertain environment. Journal of Cleaner Production, 41(2013), 114–125.

    Article  Google Scholar 

  • Pascal, M., Corso, M., Chanel, O., Declercq, C., Badaloni, C., Cesaroni, G., et al. (2013). On behalf of the Aphekom group, assessing the public health impacts of urban air pollution in 25 European cities: Results of the Aphekom project. Science of the Total Environment, 449, 390–400.

    Article  Google Scholar 

  • Pope, C. A., Bates, D. V., & Raizenne, M. E. (1995). Health effects of particulate air pollution: time for reassessment? Environmental Health Perspectives, 103(5), 472–480.

    Article  Google Scholar 

  • Rabl, A., & Spadaro, J. V. (2000). Health costs of automobile pollution. Revue Française d’Allergologie et d’Immunologie Clinique, 40(1), 55–59.

    Article  Google Scholar 

  • Rahman, S., & Subramanian, N. (2012). Factors for implementing end-of-life computer recycling operations in reverse supply chains. International Journal of Production Economics, 140(2012), 239–248.

    Article  Google Scholar 

  • Ramudhin, A., Chaabane, A., Kharoune, M., & Paquet, M. (2008). Carbon market sensitive green supply chain network design. In: IEEE international conference on industrial engineering and engineering management, 2008 (IEEM 2008) (pp. 1093–1097).

  • Ravetz, J. (1999). What is post-normal science? Futures, 31, 647–653.

    Article  Google Scholar 

  • Ravetz, J. (2008). Resource flow analysis for sustainable construction: Metrics for an integrated supply chain approach. Proceedings of Institution of Civil Engineers: Waste and Resource Management, 161(2), 51–66.

    Article  Google Scholar 

  • Rezaee, A., Dehghanian, F., Fahimnia, B., & Beamon, B. (2017). Green supply chain network design with stochastic demand and carbon price. Annals of Operations Research, 250(2), 463–485.

    Article  Google Scholar 

  • Rowe, B. (2011). Green roofs as a means of pollution abatement. Environmental Pollution, 159, 2100–2110.

    Article  Google Scholar 

  • Sarkis, J. (1998). Evaluating environmentally conscious business practices. European Journal of Operational Research, 107(1), 159–174.

    Article  Google Scholar 

  • Sarkis, J. (2003). A strategic decision framework for green supply chain management. Journal of Cleaner Production, 11(4), 397–409.

    Article  Google Scholar 

  • Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16(15), 1699–1710.

    Article  Google Scholar 

  • Shen, L., Olfat, L., Govindan, K., Khodaverdi, R., & Diabat, A. (2013). A fuzzy multi criteria approach for evaluating green supplier’s performance in green supply chain with linguistic preferences. Resources, Conservation and Recycling, 74, 170–179.

    Article  Google Scholar 

  • Sheu, J.-B., Chou, Y.-H., & Hu, C.-C. (2005). An integrated logistics operational model for green-supply chain management. Transportation Research Part E, 41(4), 287–313.

    Article  Google Scholar 

  • Smith, T. W., Axon, C. J., & Darton, R. C. (2013). The impact on human health of car-related air pollution in the UK, 1995–2005. Atmospheric Environment, 77, 260–266.

    Article  Google Scholar 

  • Sonesson, U., & Berlin, J. (2003). Environmental impact of future milk supply chains in Sweden: a scenario study. Journal of Cleaner Production, 11(3), 253–266.

    Article  Google Scholar 

  • Speak, A. F., Rothwell, J. J., Lindley, S. J., & Smith, C. L. (2012). Urban particulate pollution reduction by four species of green roof vegetation in a UK city. Atmospheric Environment, 61, 283–293.

    Article  Google Scholar 

  • Statistics Canada. (2014). http://www12.statcan.gc.ca/census-recensement/2011/dp-pd/hlt-fst/pd-pl/Table-Tableau.cfm?T=205&S=3&RPP=50. Retrieved on January 26, 2014.

  • Stevenson, W., & Jojati, M. (2013). Operations management. Whitby: McGraw-Hill Ryerson. (ISBN: 0-07-096957-4).

    Google Scholar 

  • Sundarakani, B., Souza, D., Goh, R., Mark, W., Stephan, M., & Manikandan, S. (2010). Modeling carbon footprints across the supply chain. International Journal of Production Economics, 128(1), 43–50.

    Article  Google Scholar 

  • Tan, R. B. H., & Khoo, H. H. (2005). An LCA study of a primary aluminum supply chain. Journal of Cleaner Production, 13(6), 607–618.

    Article  Google Scholar 

  • Tang, K., Yang, C., & Yang, J. (2007). A supply chain network design model for deteriorating items. In International conference on computational intelligence and security.

  • Ubeda, S., Arcelus, F. J., & Faulin, J. (2011). Green logistics at Eroski: A case study. International Journal of Production Economics, 131(2011), 44–51.

    Article  Google Scholar 

  • Ukidwe, N. U., & Bakshi, B. R. (2005). Flow of natural versus economic capital in industrial supply networks and its implications to sustainability. Environmental Science and Technology, 39(24), 9759–9769.

    Article  Google Scholar 

  • Vailshery, L. S., Jaganmohan, M., & Nagendra, H. (2013). Effect of street trees on microclimate and air pollution in a tropical city. Urban Forestry & Urban Greening, 12(3), 408–415.

    Article  Google Scholar 

  • Varsei, M., & Polyakovskiy, S. (2017). Sustainable supply chain network design: A case of the wine industry in Australia. Omega, 66, 236–247.

    Article  Google Scholar 

  • VTPI, Victoria Transport Policy Institute. (2014). http://www.vtpi.org/tca/tca0501.pdf. Retrieved on February 6, 2014.

  • Wahab, W. I. M., Mamun, S. M. H., & Ongkunaruk, P. (2011). EOQ models for a coordinated two-level international supply chain considering imperfect items and environmental impact. International Journal of Production Economics, 134(2011), 151–158.

    Article  Google Scholar 

  • Wang, H.-F., & Hsu, H.-W. (2010). A closed-loop logistic model with a spanning-tree based genetic algorithm. Computers & Operations Research, 37(2), 376–389.

    Article  Google Scholar 

  • WCED. (1987). Our common future: The brundtland report. Oxford: Oxford University Press.

  • Yang, J., McBridea, J., Zhoub, J., & Sunb, Z. (2005). The urban forest in Beijing and its role in air pollution reduction. Urban Forestry & Urban Greening, 3, 65–78.

    Article  Google Scholar 

  • Yeh, W.-C., & Chuang, M.-C. (2011). Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with Applications, 38, 4244–4253.

    Article  Google Scholar 

  • Yin, H., Pizzol, M., & Xu, L. (2017). External costs of PM2. 5 pollution in Beijing, China: Uncertainty analysis of multiple health impacts and costs. Environmental Pollution, 226, 356–369.

    Article  Google Scholar 

  • Youn, S., Yang, M. G., Hong, P., & Park, K. (2011). Strategic supply chain partnership, environmental supply chain management practices, and performance outcomes: An empirical study of Korean firms. Journal of Cleaner Production, 56, 121–130.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. International Business School, Shanghai University of International Business and Economics, 1900 Wenxiang Rd., Songjiang District, Shanghai, 201620, China

    Jiangtao Hong

  2. Department of Supply Chain and Business Technology Management, John Molson School of Business, Concordia University, Montreal, QC, H3H 0A1, Canada

    Chaher Alzaman

  3. Division of Engineering, New York University Abu Dhabi, Saadiyat Island, 129188, Abu Dhabi, United Arab Emirates

    Ali Diabat

  4. Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, 11201, USA

    Ali Diabat

  5. Department of Mechanical and Industrial Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada

    Akif Bulgak

Authors
  1. Jiangtao Hong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chaher Alzaman
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ali Diabat
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Akif Bulgak
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chaher Alzaman.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hong, J., Alzaman, C., Diabat, A. et al. Sustainability dimensions and PM2.5 in supply chain logistics. Ann Oper Res 275, 339–366 (2019). https://doi.org/10.1007/s10479-018-3077-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-018-3077-7

Keywords

Search

Navigation