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Model-driven decision support to facilitate efficient fresh food deliveries

Christian Fikar
Christian Fikar
   | 22 juin 2020
Die Bodenkultur: Journal of Land Management, Food and Environment's Cover Image
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Article Category: Research Article
Publié en ligne: 22 juin 2020
Pages: 1 - 9
Reçu: 04 oct. 2019
Accepté: 09 janv. 2020
DOI: https://doi.org/10.2478/boku-2020-0001
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© 2020 Christian Fikar, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

A concept of a model-driven DSS for fresh food logistics linking key components found in literatureAbbildung 1. Konzept eines modellgetriebenen Entscheidungsunterstützungssystems für die Zustellung frischer Lebensmittel inklusive identifizierter Schlüsselkomponenten
A concept of a model-driven DSS for fresh food logistics linking key components found in literatureAbbildung 1. Konzept eines modellgetriebenen Entscheidungsunterstützungssystems für die Zustellung frischer Lebensmittel inklusive identifizierter Schlüsselkomponenten

Overview of reviewed literatureTabelle 1. Übersicht der analysierten Literatur

Focus AreaPrimary MethodConsidered Uncertainty
Tarantilis and Kiranoudis (2001)Distribution planningMetaheuristic-
Hsu et al. (2007)Last-mile deliveriesMetaheuristicTravel speed
van der Vorst (2009)Supply chain redesignSimulationProduct Quality; Yield
Rong et al. (2011)Distribution planningExact optimization-
Amorim and Almada-Lobo (2014)Distribution planningMetaheuristic-
Mirzaei and Seifi (2015)Distribution planningExact optimization-
Bortolini et al. (2016)Network planningExact optimization-
Song and Ko (2016)Distribution planningExact optimization-
Accorsi et al. (2017)Distribution planningExact optimization-
Fikar (2018)Last-mile deliveriesSimulationProduct quality; demand
Fikar et al. (2018)Last-mile deliveriesSimulationDemand
Hsiao et al. (2018)Last-mile deliveriesMetaheuristic-
Estrada-Moreno et al. (2019)Last-mile deliveriesMetaheuristic-
Fikar et al. (2019)Last-mile deliveriesSimulationDemand; Preferences
Leithner and Fikar (2019)Distribution planningSimulationQuality; Yield; Demand

Results of the computational experimentsTabelle 2. Ergebnisse der Computerexperimente

Expected demand: 500 items per day
Items Shipped (units)Food Waste (units)Food Quality (days)
FEFO494.44 ± 4.2414.08 ± 3.583.57 ± 0.67
LEFO492.06 ± 4.9354.40 ± 6.516.33 ± 0.43
Random494.01 ± 5.3034.62 ± 5.294.98 ± 0.53
Expected demand: 750 items per day
Items Shipped (units)Food Waste (units)Food Quality (days)
FEFO740.19 ± 8.8917.52 ± 4.213.71 ± 0.46
LEFO736.75 ± 9.1675.26 ± 7.556.23 ± 0.30
Random739.30 ± 7.4844.86 ± 6.375.00 ± 0.38
Expected demand: 1,000 items per day
Items Shipped (units)Food Waste (units)Food Quality (days)
FEFO985.18 ± 13.4621.40 ± 4.823.79 ± 0.41
LEFO980.26 ± 15.6495.53 ± 9.866.07 ± 0.25
Random982.26 ± 18.0354.38 ± 7.824.95 ± 0.32
eISSN:
0006-5471
Langue:
Anglais
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Sujets de la revue:
Life Sciences, Ecology, other
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