|  | 
|  | 
| Code:  DFILM-309 | 
|  | 
| 3V+1U (4 Semesterwochenstunden) | 
| 4 | 
| Studiensemester: 3 | 
| Pflichtfach: ja | 
| Arbeitssprache: Deutsch
 | 
| Prüfungsart: Klausur
 
 [letzte Änderung 12.08.2014]
 
 | 
| DFBLG310 (P620-0328) Internationales Logistik-Management, Bachelor, ASPO 01.10.2018
, 3. Semester, Pflichtfach
 DFILM-309 (P620-0410) Internationales Logistik-Management, Bachelor, ASPO 01.10.2019
, 3. Semester, Pflichtfach
 DFILM-309 (P620-0410) Internationales Logistik-Management, Bachelor, ASPO 01.10.2022
, 3. Semester, Pflichtfach
 DFBLG310 (P620-0328) Logistik, Bachelor, ASPO 01.10.2013
, 3. Semester, Pflichtfach
 
 geeignet für Austauschstudenten mit learning agreement
 
 | 
| Die Präsenzzeit dieses Moduls umfasst bei 15 Semesterwochen 60 Veranstaltungsstunden (= 45 Zeitstunden). Der Gesamtumfang des Moduls beträgt bei 4 Creditpoints 120 Stunden (30 Std/ECTS). Daher stehen für die Vor- und Nachbereitung der Veranstaltung zusammen mit der Prüfungsvorbereitung 75 Stunden zur Verfügung. | 
| Empfohlene Voraussetzungen (Module): Keine.
 
 | 
| Als Vorkenntnis empfohlen für Module: 
 | 
| Modulverantwortung: Prof. Dr. Teresa Melo
 | 
| Dozent/innen:  Prof. Dr. Teresa Melo 
 [letzte Änderung 01.10.2017]
 
 | 
| Lernziele: After successfully completing this course students will be able to:
 
 - describe the assumptions on which linear programming (LP) is built,
 - formulate LP models on the basis of verbal problem descriptions,
 - solve LP problems graphically (for two variables) and by using spreadsheet-based optimization software,
 - interpret the optimal solution to an LP problem and translate it into directives for action,
 - perform sensitivity analysis and describe the economic information that can be drawn from the analysis,
 - formulate LP models for transportation planning problems and solve these problems heuristically and optimally,
 - solve and analyze network problems (e.g. the shortest path problem, the vehicle routing problem) by applying operations research techniques and algorihms,
 - appreciate the limitations of LP models,
 - effectively communicate ideas, explain procedures and interpret results and solutions to different audiences.
 
 
 
 
 [letzte Änderung 22.02.2024]
 
 | 
| Inhalt: - Introduction to Operations Research (OR)
 - Formulation of a linear programming (LP) model
 - Graphical solution of an LP model with two variables
 - Properties of LP problems
 - The augmented form of an LP model
 - Formulating and solving LP models on a spreadsheet (MS Excel Solver)
 - Graphical introduction to sensitivity analysis
 - Performing sensitivity analysis on a spreadsheet
 - Economic interpretation of shadow prices and reduced costs
 - The transportation problem:
 • Formulation of an LP model
 • Heuristic methods to find basic feasible solutions
 • Methods to find the optimal solution
 - Introduction to graph theory
 • Basic concepts
 • The shortest path problem (SPP)
 • Solving the SPP with the Dijkstra algorithm
 • The vehicle routing problem (VRP)
 • The savings method to determine feasible vehicle tours
 • Heuristic methods to improve feasible vehicle tours
 
 
 [letzte Änderung 22.02.2024]
 
 | 
| Weitere Lehrmethoden und Medien: Lectures supported by beamer (theory, concepts and examples). Spreadsheet-based optimization software (MS Excel Solver), exercises, homework assignments
 
 [letzte Änderung 22.02.2024]
 
 | 
| Literatur: F.S. Hillier, G.L. Lieberman (2021), Introduction to Operations Research, 11th edition, McGraw Hill, New York
 
 W.L. Winston (2004), Operations Research: Applications and Algorithms, 4th edition, Cengage Learning
 
 
 [letzte Änderung 22.02.2024]
 
 |