Sustainability evaluation of last mile food delivery: pick up point using lockers versus home delivery

Abstract

The Last mile delivery is known as one of the most costly and highest polluting stages within the food supply chain where food companies deliver the food products to the final consumers. As a new approach in this area, currently, a few food retailers offering pick up point service delivery using lockers. This paper provides a comprehensive comparison of the sustainability performance between home service delivery and picks up point service delivery using lockers. Hypothetical last mile food models for both approaches are developed. A Vehicle Route Problem with Time Window (VRPTW) is developed to minimise the CO2 emission and implemented using the simulated annealing algorithm which is programmed in MATLAB software. Supply Chain GURU Software is adapted to implement the Greenfield analysis to identify the optimal number and the location of the locker facilities through a Greenfield service constraint.

Modelling and Simulation | Home Service | Pick Up Point Service Delivery | Last Mile Food delivery sustainability |  Food retail supply chain

References

1. Boyer, K. K., A. M. Prudhomme, and W. Chung., 2009. The Last Mile Challenge: Evaluating the Effects of
   Customer Density and Delivery Window Patterns. Journal of Business Logistics, 30(1), 185–201.
2. Bromage, N., 2001. Keep the Customer Satisfied. Supply Management, 6(10), 34–36
3. Brown, J.R. and Guiffrida, A.L., 2014. Carbon emissions comparison of last mile delivery versus
   customer pickup. International Journal of Logistics Research and Applications, 17(6), 503-521.
4. Closs, D.J., Speier, C. and Meacham, N., 2011. Sustainability to support end-to-end value chains:
   the role of supply chain management. Journal of the Academy of Marketing Science, 39(1), 101-
   116.
5. Gevaers, R., E. Van de Voorde, and T. Vanelslander., 2011. Characteristics and Typology of Last-Mile
   Logistics from an Innovative Perspective in an Urban Context. City Distribution and Urban
   Freight Transport: Multiple Perspectives, Edward Elgar Publishing, 56-71.
6. Lee, H. L., and S. Whang., 2001. Winning the Last Mile of E-Commerce. MIT Sloan Management Review,
   42(4), 54–62.
7. Saad, S., Bahadori, R., Ravisankar, J., 2017. Modelling the sustainable distribution system in food retail
   sector- A simulation approach. In: Bruzzone AG, Piera MA, Longo F, Vignali G, editors.
   FoodOPS2017: Proceedings of the International Food Operations and Processing Simulation
   Workshop. 2017 Sep 18-20; Barcelona, Spain. Red Hook, NY: Curran Associates, Inc, 45-50.
8. Seuring, S. and Müller, M., 2008. From a literature review to a conceptual framework for sustainable
   supply chain management. Journal of cleaner production, 16(15), 1699-1710.
9. Siikavirta, H., M. Punakivi, M. Karkkainen, and L. Linnanen., 2003. Effects of E-Commerce on
   Greenhouse Gas Emissions. Journal of Industrial Ecology, 6(2), 83–97.
10. TRB, 2014. Waitrose trials temperature controlled click & collect lockers available at:
    https://www.theretailbulletin.com/news/waitrose_t rials_temperature_controlled_click_collect_locker
    s_20-10-14/
11. Ülkü, M. A., 2012. Dare to Care: Shipment Consolidation Reduces Not Only Cost, But Also Environmental Damage. International Journal of Production Economics, 139(2),438–446.
12. Validi, S., Bhattacharya, A. and Byrne, P.J., 2014. A case analysis of a sustainable food supply chain
    distribution system—A multi-objective approach. International Journal of Production Economics,
    152, 71-87.
13. Visser, J., Nemoto, T. and Browne, M., 2014. Home delivery and the impacts on urban freight
    transport: A review. Procedia-social and behavioral sciences, 125, 15-27.
14. Weltevreden, J.W. and Rotem-Mindali, O., 2009. Mobility effects of b2c and c2c e-commerce in the
    Netherlands: a quantitative assessment. Journal of Transport Geography, 17(2), 83-92.