Energy-efficient frozen food transports: the Refrigerated Routing Problem

Given the growing importance of cold chains and the need to promote sustainable processes, energy efficiency in refrigerated transports is investigated at operational level. The Refrigerated Routing Problem is defined, involving multi-drop deliveries of palletised unit loads of frozen food from a ce...

Full description

Saved in:
Bibliographic Details
Published in:International journal of production research 2020-07, Vol.58 (14), p.4164-4181
Main Authors: Meneghetti, Antonella, Ceschia, Sara
Format: Article
Language:English
Subjects:
Clients
cold chain
congestion
constraint programming
Dough
Energy consumption
Energy efficiency
frozen food
Frozen foods
Load
refrigerated routing problem
Refrigeration
Route planning
Route selection
Supply chains
sustainability
Traffic congestion
Traffic speed
Unit loads
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Given the growing importance of cold chains and the need to promote sustainable processes, energy efficiency in refrigerated transports is investigated at operational level. The Refrigerated Routing Problem is defined, involving multi-drop deliveries of palletised unit loads of frozen food from a central depot to clients. The objective is to select the route with minimum fuel consumption for both traction and refrigeration. The problem formulation considers speed variation due to traffic congestion phenomena, as well as decreasing load on board along the route as successive clients are visited. Transmission load for exposure of the vehicle to outdoor temperatures and infiltration load at door opening are modelled, taking into account outdoor conditions varying along the day and the year. The resulting multi-period problem is modelled and solved by means of Constraint Programming. Test scenarios come from a real local network for frozen bread dough distributed to supermarkets. Results show how fuel minimisation leads to the selection of different routes in comparison to the traditional total travel distance or time objectives. Energy savings are affected by demand distribution among the clients, departure time, number of visits per tour, seasonality and location of the delivery network.
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2019.1640407