Optimal lot-size with the Andler formula. Animated to show the influence of the k_l and k_b parameters.
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% Optimal Lot-Size with the Andler Formula % Author: Felix Lindemann % Source: Beamer by Till Tantau <--- Great! % GNUPLOT required \RequirePackage{atbegshi} \documentclass{beamer} \usepackage{animate} \usepackage{calc} \usepackage{fp} \usepackage{times} \usepackage[latin1]{inputenc} \usepackage{tikz} \usetikzlibrary{arrows,automata,shapes,calc} \title{Optimal Lot-Size with the Andler Formula} \subtitle{Sensitivity Analysis} \author[Dipl. Kfm Felix Lindemann]{Dipl. Kfm Felix Lindemann\inst{1}} \institute[Fachhochschule Neu-Ulm]{ \inst{1}Kompetenzzentrum Logistik\\ University of Applied Science Neu-Ulm } \subject{Sensitivity Analysis of Andlers-Lot-Size by Felix Lindemann. } \keywords{Andler, optimal Lot size, ...} \newcounter{cnt} \setcounter{cnt}{0} \newcommand{\ANDLER}[4] { \draw[-latex] (0,0) -- (8.5,0) node[right]{\tiny $b$}; \draw[-latex] (0,0) -- (0,5.5) node[left]{\tiny $K_G K_L K_B$}; \pgfmathsetmacro\vkl{#1} \pgfmathsetmacro\vkb{#3} \pgfmathsetmacro\vP{#2} \pgfmathsetmacro\vM{#4} \pgfmathsetmacro\bOpt{10* sqrt( (2 * \vkb * \vM) / (\vkl) / ( \vP) )} \pgfmathsetmacro\bOpta{ \bOpt /10} \pgfmathsetmacro\Kmin{ sqrt( 2 * \vkl * \vP * \vkb) * sqrt( \vM * 0.01)} \pgfmathsetmacro\Kmina{ \Kmin/20} \FPround{\Kmin}{\Kmin}{2} \FPround{\bOpt}{\bOpt}{2} \draw[dotted] (\bOpta,4.5) -- (\bOpta,-0.5) node[below] {\tiny $b_{opt}=\sqrt{\frac{2\cdot #3 \cdot #4 \cdot100}{#1 \cdot #2}} = \bOpt$}; \draw[dotted] (-0.5,\Kmina) -- (5.5,\Kmina) node[right] {\tiny $K_G(b_{opt})= \sqrt{\frac{2\cdot #1 \cdot #2 \cdot #3 \cdot #4}{100}}=\Kmin$}; \foreach \x in {1,...,8}{ \pgfmathsetmacro\xtext{ \x * 10} \draw (\x cm,1pt) -- (\x cm,-1pt) node[below] {\tiny $\xtext$}; } \foreach \y in {1,...,5}{ \pgfmathsetmacro\ytext{ \y * 20} \draw (1pt,\y cm) -- (-1pt,\y cm) node[left] {\tiny $\ytext$};}% \foreach \kl/\P/\kb/\M in {#1/#2/#3/#4}{ \draw[color=black, ultra thick] plot[id=#1#2#3#4a] function{(0.5*\kl*0.01*\P*(x*10)+\kb*\M/(x*10))/20}; \node[color=black, very thick] at (4.5,5) {\scriptsize$K_G(b)=\textcolor{red}{\frac{1}{2}\cdot\frac{k_l\cdot P}{100} \cdot b} +\textcolor{blue}{\frac{M\cdot k_b}{b}}= \textcolor{red}{\frac{1}{2}\cdot\frac{\kl\cdot\P}{100} \cdot b} +\textcolor{blue}{\frac{\M\cdot\kb}{b}}$}; \draw[color=red,thick ] plot[id=#1#2#3#4b] function{(0.5*\kl*0.01*\P*(x*10))/20}; \draw[color=blue,thick ] plot[id=#1#2#3#4c] function{(\kb*\M/(x*10))/20}; } } \begin{document} \pagestyle{empty} \frame{ \titlepage } \section{Analysis for Parameter $k_l$} \begin{frame}{Animationen}{Optimal Lot Size Calculation with \textsc{Andler}\\Influence of $k_l$} % Development of total cost function by varying the storing cost parameter \vspace*{-1em} \begin{flushleft}% \begin{animateinline}[autoplay,palindrome, begin={\begin{tikzpicture}[domain=0.3:8.4]}, end={\end{tikzpicture}}]{3} \ANDLER{5}{20}{5}{50}; \newframe \ANDLER{6}{20}{5}{50}; \newframe \ANDLER{7}{20}{5}{50}; \newframe \ANDLER{8}{20}{5}{50}; \newframe \ANDLER{9}{20}{5}{50}; \newframe \ANDLER{10}{20}{5}{50}; \newframe \ANDLER{11}{20}{5}{50}; \newframe \ANDLER{12}{20}{5}{50}; \end{animateinline} \end{flushleft} \end{frame} \section{Analysis for Parameter $k_b$} \begin{frame}{Animationen} {Optimal Lot Size Calculation with \textsc{Andler}\\Influence of $k_b$} % Development of total cost function by varying the storing cost parameter \vspace*{-1em} \begin{flushleft}% \begin{animateinline}[autoplay,palindrome, begin={\begin{tikzpicture}[domain=0.3:8.4]}, end={\end{tikzpicture}}]{3} \ANDLER{5}{20}{3.5}{50};\newframe \ANDLER{5}{20}{4.0}{50};\newframe \ANDLER{5}{20}{4.5}{50};\newframe \ANDLER{5}{20}{5.0}{50};\newframe \ANDLER{5}{20}{5.5}{50};\newframe \ANDLER{5}{20}{6.0}{50};\newframe \ANDLER{5}{20}{6.5}{50} ; \end{animateinline} \end{flushleft} \end{frame} \end{document}
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