alexander/urban-meal-delivery-demand-forecasting
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Remove glossary

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Alexander Hess 2020-11-30 18:42:54 +01:00
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tex/1_intro.tex
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@ -11,8 +11,7 @@ A common feature of these platforms is that they do not operate kitchens but
related processes in simple smartphone apps, and managing the delivery via
a fleet of either employees or crowd-sourced sub-contractors.
Various kinds of urban delivery platforms
(\gls{udp}; \ref{glossary} provides a glossary with all abbreviations)
Various kinds of urban delivery platforms (UDP)
have received attention in recent scholarly publications.
\cite{hou2018} look into heuristics to simultaneously optimize courier
scheduling and routing in general, while \cite{masmoudi2018} do so
@ -20,8 +19,7 @@ Various kinds of urban delivery platforms
the effect of different fulfillment strategies in the context of urban
meal delivery.
\cite{ehmke2018} and \cite{alcaraz2019} focus their research on the routing
aspect, which is commonly modeled as a so-called vehicle routing problem
(\gls{vrp}).
aspect, which is commonly modeled as a so-called vehicle routing problem (VRP).
Not covered in the recent literature is research focusing on the demand
forecasting problem a UDP faces.
@ -69,7 +67,7 @@ In this paper, we develop a rigorous methodology as to how to build and
We implement such a system with a broad set of commonly used forecasting
methods.
We not only apply established (i.e., "classical") time series methods but also
machine learning (\gls{ml}) models that have gained traction in recent
machine learning (ML) models that have gained traction in recent
years due to advancements in computing power and availability of larger
amounts of data.
In that regard, the classical methods serve as benchmarks for the ML methods.
@ -100,4 +98,4 @@ The subsequent Section \ref{lit} reviews the literature on the forecasting
Section \ref{mod} introduces our forecasting system, and Section \ref{stu}
discusses the results obtained in the empirical study.
Lastly, Section \ref{con} summarizes our findings and concludes
with an outlook on further research opportunities.
with an outlook on further research opportunities.