Skip to main content

Dynamic Temperature Control in the Distribution of Perishable Food

  • Conference paper
  • First Online:
Dynamics in Logistics

Part of the book series: Lecture Notes in Logistics ((LNLO))

Abstract

The temperature of chilled and frozen products along the distribution phase must be maintained within close limits to ensure optimum food safety levels. The temperature variation along the vehicle routing sequence is represented by nonlinear functions which depend on the process stage (line haul, unloading at customer’s premises, local displacements, etc.). The usual vehicle routing optimization strategy is generally based on a traveling salesman problem (TSP) sequence, with the objective of minimizing travel distance or time. It is shown in the paper that in order to maintain the temperature variability within adequate restriction limits, other routing strategies, apart from the TSP criterion, should be considered.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Chang YS, Bai DS (2001) Control charts for positively-skewed populations with weighted standard deviations. Qual Reliab Eng Int 17:397–406

    Article  Google Scholar 

  • Chang YS, Choi IS, Bai DS (2002) Process capability indices for skewed populations. Qual Reliab Eng Int 18:383–393

    Article  Google Scholar 

  • CoolVan Manual (2000) Food refrigeration and process engineering research centre, version 3.0. University of Bristol, UK

    Google Scholar 

  • Czarski A (2008) Estimation of process capability indices in case of distribution unlike the normal one. Arch Mater Sci Eng 34(1):39–42

    Google Scholar 

  • Estrada-Flores S, Eddy A (2006) Thermal performance indicators for refrigerated road vehicles. Int J Refrig 29:889–898

    Article  Google Scholar 

  • Garcia LR (2008) Development of monitoring applications for refrigerated perishable goods transportation. PhD thesis, Universidad Politécnica de Madrid

    Google Scholar 

  • Giannakourou MC, Taoukis PS (2003) Application of a TTI-based distribution management system for quality optimization of frozen vegetables at the consumer end. J Food Sci 68(1):201–209

    Article  Google Scholar 

  • Giannakourou MC, Koutsoumanis K, Nychas GJ, Taoukis PS (2005) Field evaluation of the application of time temperature integrators for monitoring fish quality in the chill chain. Int J Food Microbiol 102:323–336

    Article  Google Scholar 

  • Gigiel AJ, James SJ, Evans JA (1998) Controlling temperature during distribution and retail. In: Proceedings of 3rd Karlsruhe nutrition symposium. Karlsruhe, Germany, pp 284–292

    Google Scholar 

  • Gonçalez PU, Werner L (2009) Comparison of process capability indices for non-normal distribution. Gestão e Produção 16:121–132 (in Portuguese)

    Google Scholar 

  • Hoang MH, Flick D, Derens E, Alvarez G, Laguerre O (2012) Combined deterministic and stochastic approaches for modelling the evolution of food products along the cold chain. Part II: a case study. Int J Refrig 35:915–926

    Article  Google Scholar 

  • James SJ, Scholfield I (1998) Modelling of food refrigeration systems. In: Proceedings of 3rd Karlsruhe Nutrition Symposium. Karlsruhe, Germany, pp 293–301

    Google Scholar 

  • James SJ, James C, Evans JA (2006) Modelling of food transportation systems—a review. Int J Refrig 29:947–957

    Article  Google Scholar 

  • Moureth J, Derens E (2000) Numerical modelling of the temperature increase in frozen food packaged in pallets. Int J Refrig 23:540–552

    Article  Google Scholar 

  • Novaes AG, Bez ET, Burin PJ, Souza JC (2012) Dynamic vehicle routing under abnormal

    Google Scholar 

  • Novaes AG, Lima Jr OF, Carvalho CC, Takebayashi F (2013) Process capability indices to evaluate thermal performance of refrigerated vehicles. In: Proceedings 22nd international conference on production research. Iguassu Falls, Brazil, 28th July–1st August 2013

    Google Scholar 

  • Pereira VF, Dória EC, Carvalho BC Jr, Neves LC Jr, Silveira V Jr (2010) Evaluation of temperatures in a refrigerated container for chilled and frozen food transport. Ciência e Tecnologia de Alimentos, Campinas 30(1):158–165 (in Portuguese)

    Article  Google Scholar 

  • Sahin E, Babaï MZ, Dallery Y, Vaillant R (2007) Ensuring supply chain safety through time temperature integrators. Int J Logistics Manag 18(1):102–124

    Article  Google Scholar 

  • Simpson R, Almonacid S, Nuñez H, Pinto M, Abakarov A, Teixeira A (2012) Time-temperature indicator to monitor cold chain distribution of fresh salmon (salmo salar). J Food Process Eng 35(5):742–750

    Article  Google Scholar 

  • Syslo MM, Deo N, Kowalik JS (2006) Discrete optimization algorithms with Pascal programs. Dover, Mineola, NY

    MATH  Google Scholar 

  • Tassou SA, De-Lille G, Ge YT (2009) Food transport refrigeration—approaches to reduce energy consumption and environmental impacts of road transport. Appl Therm Eng 29:1467–1477

    Article  Google Scholar 

  • Tassou SA, De-Lille G, Lewis J (2012) Food transport refrigeration. Centre for Energy and Built Environment Research, Brunel University, UK

    Google Scholar 

  • Traffic Conditions in Congested Urban Areas. PANAM 2012 Conference, The Pan American Society of Transportation Research, Santiago, Chile, September 2012

    Google Scholar 

  • Tso CP, Yu SC, Poh HJ, Jolly PG (2002) Experimental study of the heat and mass transfer characteristics in a refrigerated truck. Int J Refrig 25:340–350

    Article  Google Scholar 

Download references

Acknowledgments

This work has been supported by the Brazilian Capes Foundation, and by DFG—German Research Foundation, Bragecrim Project no. 2009-2.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Antonio G. N. Novaes .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Novaes, A.G.N., Lima, O.F., Carvalho, C.C., Bez, E.T. (2016). Dynamic Temperature Control in the Distribution of Perishable Food. In: Kotzab, H., Pannek, J., Thoben, KD. (eds) Dynamics in Logistics. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-23512-7_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23512-7_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23511-0

  • Online ISBN: 978-3-319-23512-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics