ausarbeitung.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c9328cd1",
   "metadata": {},
   "source": [
    "# FAIRe Qualitäts-KPIs\n",
    "Autor:  \n",
    "Datum:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c5d41dc",
   "metadata": {},
   "source": [
    "## Forschungsfrage\n",
    "Formulieren Sie eine oder mehrere Forschungsfragen zu der Lerneinheit:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14e306b5",
   "metadata": {},
   "source": [
    "Mit welchen Konfigurationen lässt sich die Qualität eines Elektrofahrzeugs in Bezug auf Aufwand, Verfügbarkeit und Akzeptanz optimieren?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de070039",
   "metadata": {},
   "source": [
    "## Erstes Fahrzeug\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "531d890a",
   "metadata": {},
   "source": [
    "### Versuchsziel\n",
    "Formulieren Sie ein Versuchsziel für diesen ersten Versuch:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30ddd8dc",
   "metadata": {},
   "source": [
    "Bestimmen Sie, wie sich verschiedene Elemente des Fahrzeugs (z. B. das Antriebssystem und die Art der Teile) auf die Qualitäts-KPIs auswirken, um das Design in zukünftigen Iterationen zu optimieren."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50dd9ff3",
   "metadata": {},
   "source": [
    "### Versuchsaufbau\n",
    "\n",
    "Bauen Sie ein erstes Fahrzeug aus den gegebenen LEGO-Teilen in der CAD-Software LeoCAD auf.\n",
    "\n",
    "Hierbei gelten die folgenden Rahmenbedingungen:\n",
    "- Das Fahrzeug muss aus Baugruppen, Bauteilen und Komponenten bestehen.\n",
    "- Es muss mindestens vier Räder besitzen\n",
    "- Es muss sich durch den elektrischen Antrieb fortbewegen können. \n",
    "- Die Verwendung eines Getriebes zwischen Motor und Antriebsachse(n) ist verpflichtend. \n",
    "- Die Farbe von mindestens einem Teil soll sich von der in LeoCAD hinterlegten Standardfarbe unterscheiden.\n",
    "- Es sind nur die LEGO-Teile zu verwenden, welche sich in den JSON-Dateien bzw. in\n",
    "der zur Verfügung gestellten Teilebibliothek befinden."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ebba2d8",
   "metadata": {},
   "source": [
    "Fügen Sie eine Abbildung des fertigen Autos in LeoCAD hinzu (*Hinweise: Ein Bild lässt sich mit \\!\\[Bildbeschreibung](/Pfad/zum/Bild) hinzufügen. Achten Sie darauf, das Bild später auch in Git hinzuzufügen*):\n"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "935c200c",
   "metadata": {},
   "source": [
    "Das folgende Bild zeigt das in LeoCAD erstellte Auto aus dem ersten Versuchsaufbau. Es wurde aus mehreren Teilen zusammengesetzt, bestehend aus einem vierrädrigen Fahrzeug, einem Motor, einer Batterie und einem Getriebe.\n",
    "![Auto1.jpeg](attachment:5633b1de-b2d9-461c-a675-6ec59e44a8a5.jpeg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05a8eb21",
   "metadata": {},
   "source": [
    "Beschreiben Sie kurz und präzise Ihr Fahrzeug:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df7f1d01",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e622f83b",
   "metadata": {},
   "source": [
    "Bauen Sie das Fahrzeug nun in unserem Software-Framework zusammen. Instanziieren Sie die LEGO-Teile und lesen Sie dabei auch die Eigenschaften ein. Ergänzen Sie zusätzliche Eigenschaften, wie z.B. die Farbe. Referenzieren Sie die Teile aufeinander und erstellen Sie auf diese Weise sinnvolle Bauteile, Baugruppen und das\n",
    "Gesamtsystem. Nutzen Sie die hierfür bereitgestellten Klassendefinitionen und Methoden. Achten Sie auf eine gute Code-Dokumentation. Sie können sich für die Bearbeitung an den zur Verfügung gestellten Code-Zellen orientieren, können hiervon jedoch auch abweichen.\n",
    "\n",
    "*Hinweise: Achten Sie auf die Unterschiede zum Minimalbeispiel. Eine direkte Kopie ist nicht möglich. Achten Sie außerdem darauf, ein Teil (eindeutig identifiziert durch seine UUID) nicht an mehreren Stellen zu verbauen*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "690da270",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pprint\n",
    "from functions import calculation_rules\n",
    "from functions.classes import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ccaf3043",
   "metadata": {},
   "outputs": [],
   "source": [
    "# initialize components\n",
    "\n",
    "with open(\"datasheets/axles.json\") as json_file:\n",
    "  axles_data = json.load(json_file)\n",
    "with open(\"datasheets/motors.json\") as json_file:\n",
    "  motors_data = json.load(json_file)\n",
    "with open(\"datasheets/gears.json\") as json_file:\n",
    "  gears_data = json.load(json_file)\n",
    "with open(\"datasheets/batteries.json\") as json_file:\n",
    "  batteries_data = json.load(json_file)\n",
    "with open(\"datasheets/frame.json\") as json_file:\n",
    "  frame_data = json.load(json_file)\n",
    "with open(\"datasheets/tires.json\") as json_file:\n",
    "  tires_data = json.load(json_file)\n",
    "with open(\"datasheets/rims.json\") as json_file:\n",
    "  rims_data = json.load(json_file)\n",
    "\n",
    "\n",
    "battery = LegoComponent(\"battery\", batteries_data[\"8881-1\"])\n",
    "\n",
    "green_base = LegoComponent(\"green base\", frame_data[\"39790\"])\n",
    "\n",
    "motor = LegoComponent(\"Motor\", motors_data[\"88003-1\"])\n",
    "\n",
    "axle_input = LegoComponent(\"axle input\", axles_data[\"32073\"])\n",
    "\n",
    "antrieb_gear = LegoComponent(\"antrieb gear\", gears_data[\"18575\"])\n",
    "abtrieb_gear = LegoComponent(\"abtrieb gear\", gears_data[\"94925\"])\n",
    "\n",
    "axle_side_1 = LegoComponent(\"axle side 1\", axles_data[\"50451\"])\n",
    "axles=[axle_side_1]\n",
    "for i in range (2,4):\n",
    "     cloned_axle=axle_side_1.clone(f\"axle_side_{i}\")\n",
    "     axles.append(cloned_axle)\n",
    "\n",
    "tire_1 = LegoComponent(\"tire 1\", tires_data[\"30699\"])\n",
    "tires=[tire_1]\n",
    "for i in range (2,5):\n",
    "     cloned_tire=tire_1.clone(f\"tire_{i}\")\n",
    "     tires.append(cloned_tire)\n",
    "\n",
    "rim_1 = LegoComponent(\"rim 1\", rims_data[\"56904\"])\n",
    "rims=[rim_1]\n",
    "for i in range (2,5):\n",
    "     cloned_rim=rim_1.clone(f\"rim_{i}\")\n",
    "     rims.append(cloned_rim)\n",
    "\n",
    "technic_bush_1 = LegoComponent(\"technic bush 1\", frame_data[\"32123\"])\n",
    "technic_bushes=[technic_bush_1]\n",
    "for i in range (2,7):\n",
    "     cloned_technic_bush=technic_bush_1.clone(f\"technic_bush_{i}\")\n",
    "     technic_bushes.append(cloned_technic_bush)\n",
    "\n",
    "technic_pin_1=LegoComponent(\"technic pin 1\", frame_data[\"55615\"])\n",
    "technic_pins=[technic_pin_1]\n",
    "for i in range (2,7):\n",
    "    cloned_technic_pin=technic_pin_1.clone(f\"technic_pin_{i}\")\n",
    "    technic_pins.append(cloned_technic_pin)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36f981df",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set properties\n",
    "\n",
    "\n",
    "color = \"Light Grey\"\n",
    "\n",
    "\n",
    "components_teile = [battery, green_base, motor, axle_input, antrieb_gear, abtrieb_gear] + axles + tires + rims + technic_bushes + technic_pins\n",
    "\n",
    "\n",
    "for component in components_teile:\n",
    "    component.properties[\"color\"] = color\n",
    "\n",
    "\n",
    "for component in components_teile:\n",
    "    pprint.pprint(component.properties)\n",
    "\n",
    "\n",
    "green_base.properties[\"color\"] = \"Green\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da2d141c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# aggregate components\n",
    "\n",
    "wheels = []\n",
    "\n",
    "for i in range(4):\n",
    "    wheel = LegoAssembly(AggregationLayer.SUBASSEMBLY, f\"wheel_{i+1}\", assembly_method=\"join lego blocks\")\n",
    "    wheel.add([rims[i], tires[i]])\n",
    "    wheels.append(wheel)\n",
    "\n",
    "antrieb_axle=LegoAssembly(AggregationLayer.SUBASSEMBLY, \"antrieb axle\")\n",
    "antrieb_axle.add([axles[2],abtrieb_gear])\n",
    "\n",
    "\n",
    "frame_axles=LegoAssembly(AggregationLayer.SUBASSEMBLY, \"frame axles\")\n",
    "frame_axles.add([green_base, axles[0], axles[1], antrieb_axle])\n",
    "\n",
    "\n",
    "\n",
    "entire_drive_motor=LegoAssembly(AggregationLayer.SUBASSEMBLY, \"entire drive motor\")\n",
    "entire_drive_motor.add([motor, axle_input,antrieb_gear])\n",
    "\n",
    "\n",
    "pinned_battery=LegoAssembly(AggregationLayer.SUBASSEMBLY, \"pinned battery\")\n",
    "pinned_battery.add([battery, technic_pins[0],technic_pins[1],technic_pins[2],technic_pins[3]])\n",
    "\n",
    "\n",
    "entire_pinned_motor=LegoAssembly(AggregationLayer.ASSEMBLY, \"pinned motor\")\n",
    "entire_pinned_motor.add([entire_drive_motor, technic_pins[4],technic_pins[5]])\n",
    "\n",
    "entire_auto_assembly=LegoAssembly(AggregationLayer.SYSTEM, \"entire auto assembly\")\n",
    "entire_auto_assembly.add([frame_axles,wheels[0],technic_bushes[0],wheels[1],technic_bushes[1],wheels[2],technic_bushes[2],wheels[3],\n",
    "                          technic_bushes[3], technic_bushes[4], technic_bushes[5], pinned_battery, entire_pinned_motor])\n",
    "\n",
    "print_assembly_tree(entire_auto_assembly)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1fef7f0",
   "metadata": {},
   "source": [
    "### Analyse\n",
    "Bestimmen Sie die Qualität Ihres Fahrzeugs mittels KPIs.\n",
    "Die Qualität des Fahrzeugs ist mit mindestens einem KPI je Qualitätsdimension (Aufwand, Verfügbarkeit, Akzeptanz) zu bestimmen. Enwickeln Sie zunächst sinnvolle KPIs, welche mit den gegebenen Daten umsetzbar sind. Halten Sie die Berechnungsvorschriften im Jupyter Notebook fest. Implementieren Sie deren Berechnung für das Gesamtsystem \"Fahrzeug\" mittels einzelner Funktionen im Skript `calculation_rules`. Sie können zusätzlich Ihre Methoden auch auf die niedrigeren Aggregationsebenen anwenden."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5f02096",
   "metadata": {},
   "source": [
    "Beschreiben Sie den jeweiligen KPI und geben Sie seine Berechnungsvorschrift an:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a793bce8",
   "metadata": {},
   "source": [
    "$$\n",
    "a = \\frac{b}{c} + d\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a21b4ac",
   "metadata": {},
   "source": [
    "1. Total delivery time\n",
    "$$\n",
    "T_{\\text{delivery}} = \\max_{i} \\left( T_i \\right)\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e300a005",
   "metadata": {},
   "source": [
    "2. Total CO2 emissions\n",
    "$$\n",
    "{CO2}_{\\text{total}} = \\sum_{i} \\left( \\text{environmental\\_impact}_i \\times \\text{mass}_i \\right)\n",
    "$$\n",
    "\n",
    "3. Total price\n",
    "$$\n",
    "{Price}_{\\text{total}} = \\sum_{i} \\text{price}_i\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2aad773a",
   "metadata": {},
   "source": [
    "Halten Sie die berechneten Werte für die KPIs im Notebook\n",
    "fest:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "59eabafc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate the KPIs for your car\n",
    "calculation_rules.test_function()\n",
    "\n",
    "total_delivery_time=calculation_rules.kpi_delivery_time(entire_auto_assembly)\n",
    "\n",
    "total_co2_emissions=calculation_rules.kpi_total_co2_emissions(entire_auto_assembly)\n",
    "\n",
    "total_price=calculation_rules.kpi_total_price(entire_auto_assembly)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c774b381",
   "metadata": {},
   "outputs": [],
   "source": [
    "# print your KPIs\n",
    "\n",
    "print(\"Total delivery time is: \", total_delivery_time, \"Days\")\n",
    "print(\"Total CO2 emissions are: \", total_co2_emissions, \"Grams\")\n",
    "print(\"Total preis is: \", total_price, \"Euro\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b89e8fb9",
   "metadata": {},
   "source": [
    "Exportieren Sie schließlich Ihr entworfenes Fahrzeug inklusive der entwickelten KPIs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d518275f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# export car and its properties\n",
    "\n",
    "entire_auto_assembly.properties[\"delivery time [days]\"]=total_delivery_time\n",
    "entire_auto_assembly.properties[\"environmental impact [kg CO2e /kg]\"]=total_co2_emissions\n",
    "entire_auto_assembly.properties[\"price [Euro]\"]=total_price\n",
    "\n",
    "with open(\"entire_auto_assembly.json\", \"w\") as fp:\n",
    "    json.dump(entire_auto_assembly.to_dict(), fp, cls=KPIEncoder, indent=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89c75440",
   "metadata": {},
   "source": [
    "## Zweites Fahrzeug"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8a2e1b0",
   "metadata": {},
   "source": [
    "### Versuchsziel"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80407e7f",
   "metadata": {},
   "source": [
    "Setzen Sie sich ein Ziel, welche Qualitätsdimensionen in einem zweiten Fahrzeug verbessert werden sollen und bauen\n",
    "Sie darauf aufbauend ein zweites Fahrzeug aus den gegebenen LEGO-Teilen auf.\n",
    "Die Anforderungen an das Fahrzeug sind identisch zum ersten. Wählen Sie die Einzelteile und deren Zusammenspiel entsprechend Ihrer Zielstellung aus."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4c620ee",
   "metadata": {},
   "source": [
    "Formulieren Sie ein Versuchsziel für diesen Versuch. Beschreiben Sie unter anderem, welche Verbesserung Sie vornehmen möchten:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3dc7e29",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "73c454f2",
   "metadata": {},
   "source": [
    "### Versuchsaufbau"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b381a60",
   "metadata": {},
   "source": [
    "Fügen Sie eine Abbildung des fertigen Autos in LeoCAD hinzu:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b6e7f12",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "23c19009",
   "metadata": {},
   "source": [
    "Beschreiben Sie kurz und präzise den Aufbau des zweiten Fahrzeugs:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a08bf9cf",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "14011b6f",
   "metadata": {},
   "source": [
    "Erstellen Sie das Fahrzeug in unserem Softwareframework:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c35de753",
   "metadata": {},
   "outputs": [],
   "source": [
    "# initialize components"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0b7336fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fb445ea0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# aggregate components"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89e54480",
   "metadata": {},
   "source": [
    "### Analyse\n",
    "Bestimmen Sie die KPIs des zweiten Fahrzeugs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "762a1e93",
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate the KPIs for your car"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ed67328",
   "metadata": {},
   "outputs": [],
   "source": [
    "# print your KPIs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f11b370",
   "metadata": {},
   "source": [
    "Exportieren Sie Ihr Fahrzeug inklusive der KPIs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "05d9d6f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# export car and its properties"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e413cd84",
   "metadata": {},
   "source": [
    "## Diskussion\n",
    "### Ergebnisse\n",
    "Stellen Sie die entwickelten KPIs beider Fahrzeuge gegenüber und wählen Sie hierfür unter anderem eine geeignete\n",
    "grafische Darstellung. Stellen Sie dabei insbesondere sicher, dass die Datengrundlage ersichtlich ist. Halten Sie\n",
    "auch die Plotbefehle im Notebook fest:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b0f93e22",
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot the data, save diagramm as svg-file"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6044de27",
   "metadata": {},
   "source": [
    "Interpretieren Sie Ihre Ergebnisse. Vergleichen Sie die KPIs Ihrer Autos. Konnten Sie Ihre gewünschte Verbesserung erzielen? Welche Schlüsse ziehen Sie aus den Ergebnissen für die Qualität der beiden\n",
    "Fahrzeuge?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ca884b1",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "4f117169",
   "metadata": {},
   "source": [
    "Diskutieren Sie, inwieweit Ihre entwickelten KPIs die im Skript erläuterten FAIR-Prinzipien erfüllen:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8ed82d2",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "bfed164a",
   "metadata": {},
   "source": [
    "## Fazit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d440f87",
   "metadata": {},
   "source": [
    "Ziehen Sie ein persönliches Fazit. Was haben Sie Neues gelernt?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4151784",
   "metadata": {},
   "source": []
  }
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