Model-driven decision support to facilitate efficient fresh food deliveries

Publication: Scientific journalJournal articlepeer-review

Abstract

The delivery of fresh food is challenged by various uncertainties present in daily logistics operations. To facilitate successful operations, this work reviews the recent work on model-driven decision support systems to identify research gaps and derive implications. Introduced systems in literature mainly employ simulation or optimization methods and focus on the consideration of industry specifics such as short shelf lives and the importance of efficient temperature control. Therefore, food quality models are often integrated to enable one to monitor quality throughout supply chain operations and adjust planning procedure respectively. To strengthen research, future work focusing on a stronger consideration of customer-related factors and holistic approaches considering various interdependencies present in fresh food logistics operations are required.
Original languageEnglish
Pages (from-to)1 - 9
JournalDie Bodenkultur: Journal of Land Management, Food and Environment
Volume71
Issue number1
DOIs
Publication statusPublished - 2020

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502017 Logistics
  • 101015 Operations research

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