IFIP International Conference on Advances in Production Management Systems

APMS 2015: Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth pp 110-117 | Cite as

Linkage Between Delivery Frequency and Food Waste: Multiple Case Studies of a Norwegian Retail Chain

  • Lukas Chabada
  • Heidi Carin Dreyer
  • Hans Henrik Hvolby
  • Kasper Kiil
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 460)

Abstract

The main objective of this paper is to investigate linkage between delivery frequency and food waste of chilled products by testing the hypothesis – the higher the delivery frequency, the lower the food waste. Multiple case studies have been used to test the hypothesis. Food waste ratios of five product groups have been compared in three delivery frequency scenarios, namely low delivery frequency, medium delivery frequency and high delivery frequency scenario. Moreover, food waste ratios of different product groups have been compared to each other within each delivery frequency scenario. The findings show a strong negative correlation between delivery frequency and the food waste ratio for each investigated product group, which supports the hypothesis. On the other hand, food waste ratios among different product groups within the same delivery frequency scenarios vary significantly.

Keywords

Food waste Delivery frequency Retail Logistics Chilled products 

Notes

Acknowledgement

Authors of the paper would like to express a deep gratitude to the case companies involved, to the researchers Peter Falster and Chris Martin, to research organization NordForsk, Research Council of Norway and industrial partners funding this study via LogiNord and Retail Supply Chain 2020 projects.

References

  1. 1.
    Eriksson, M., Strid, I., Hansson, P.-A.: Food losses in six Swedish retail stores: wastage of fruit and vegetables in relation to quantities delivered. Resour. Conserv. Recycl. 68, 14–20 (2012)CrossRefGoogle Scholar
  2. 2.
    Hanssen, O.J., Møller, H.: Food Wastage in Norway 2013 (2013)Google Scholar
  3. 3.
    Gustavsson, J., Stage, J.: Retail waste of horticultural products in Sweden. Resour. Conserv. Recycl. 55(5), 554–556 (2011)CrossRefGoogle Scholar
  4. 4.
    Mena, C., Adenso-Diaz, B., Yurt, O.: The causes of food waste in the supplier–retailer interface: evidences from the UK and Spain. Resour. Conserv. Recycl. 55(6), 648–658 (2011)CrossRefGoogle Scholar
  5. 5.
    Mena, C., et al.: Causes of waste across multi-tier supply networks: cases in the UK food sector. Int. J. Prod. Econ. 152, 144–158 (2014)CrossRefGoogle Scholar
  6. 6.
    Beretta, C., et al.: Quantifying food losses and the potential for reduction in Switzerland. Waste Manag. 33, 764–773 (2012)CrossRefGoogle Scholar
  7. 7.
    Darlington, R., Staikos, T., Rahimifard, S.: Analytical methods for waste minimisation in the convenience food industry. Waste Manag. 29(4), 1274–1281 (2009)CrossRefGoogle Scholar
  8. 8.
    Taylor, D.H.: Demand management in agri-food supply chains: an analysis of the characteristics and problems and a framework for improvement. Int. J. Logistics Manag. 17(2), 163–186 (2006)CrossRefGoogle Scholar
  9. 9.
    Kaipia, R., Dukovska-Popovska, I., Loikkanen, L.: Creating sustainable fresh food supply chains through waste reduction. Int. J. Phys. Distrib. Logistics Manag. 43(3), 262–276 (2013)CrossRefGoogle Scholar
  10. 10.
    van der Vorst, J.G.A.J., et al.: Supply chain management in food chains: improving performance by reducing uncertainty. Int. Trans. Oper. Res. 5(6), 487–499 (1998)CrossRefGoogle Scholar
  11. 11.
    Yin, R.K.: Case Study Research: Design and Methods, 5th edn. Sage publications INC, Boston (2014)Google Scholar
  12. 12.
    Eisenhardt, K.M.: Building theories from case study research. Acad. Manag. Rev. 14(4), 532–550 (1989)Google Scholar
  13. 13.
    Karlsson, C.: Researching Operations Management. Routledge, New York (2009)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Lukas Chabada
    • 1
  • Heidi Carin Dreyer
    • 1
  • Hans Henrik Hvolby
    • 1
    • 2
  • Kasper Kiil
    • 1
  1. 1.Department of Production and Quality EngineeringNorwegian University of Science and TechnologyTrondheimNorway
  2. 2.Centre for Logistics, Department of Mechanical and Manufacturing EngineeringAalborg UniversityAalborgDenmark

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