Move glossary into an appendix

paper.tex

@@ -42,9 +42,6 @@
 \input{tex/5_con/4_further_research}
 \newpage
 
-\input{tex/glossary}
-\newpage
-
 \appendix
 \newpage
 \input{tex/apx/tabular_ml_models}
@@ -55,6 +52,8 @@
 \newpage
 \input{tex/apx/peak_results}
 \newpage
+\input{tex/apx/glossary}
+\newpage
 
 \bibliographystyle{static/elsarticle-harv}
 \bibliography{tex/references}

tex/1_intro.tex

@@ -11,8 +11,9 @@ 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 kind of urban delivery platforms (UDP) have received attention in
-    recent scholarly publications.
+Various kinds of urban delivery platforms
+    (\gls{udp}; \ref{glossary} provides a glossary with all abbreviations)
+    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
     for the popular dial-a-ride problem and \cite{wang2018} investigate
@@ -63,8 +64,8 @@ Moreover, many of the established forecasting methods can only handle a single
     and often low seasonality (i.e., repeated regular pattern), if at all.
 
 In this paper, we develop a rigorous methodology as to how to build and
-    evaluate a robust forecasting system for an urban delivery platform
-    (\gls{udp}) that offers ad-hoc point-to-point transportation of any kind.
+    evaluate a robust forecasting system for an UDP
+    that offers ad-hoc point-to-point transportation of any kind.
 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

tex/apx/glossary.tex

@@ -1,3 +1,6 @@
+\section{Glossary}
+\label{glossary}
+
 % Abbreviations for technical terms.
 \newglossaryentry{add}{
     name=ADD, description={Average Daily Demand}
@@ -138,4 +141,4 @@
                             trained on vertical time series}
 }
 
-\printglossaries
+\printglossary[title=]