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Learning target / Competences
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The module „Logistics” reflects the broad scope of the term Logistics and intends to highlight numerous facets of logistics.
On the one hand, the course „Production & Operations Management” examines decision-making processes in operations management as well as their common points with regard to other managerial functions – from the perspective of a management consultant.
On the other hand, the course „Production & Operations Management” is rather focusing on Intra Logistics, and the course ”Supply Chain Management” highlights the networking of logistical processes on a global level before dealing with ”classical” tools as e. g. „ Supply Network Planning”, „Available to Promisse”.
The course „Modeling & Simulation” und „Simulation Cases” provides information with regard to the forming of logistical networks. After a basic introduction into the topic, the relation to concrete managerial problems is made.
A conceptual frame of reference is created covering the wide field of the subject Logistics by means of four courses comprising
- Production & Operations Management
- Supply Chain Management
- Modeling & Simulation
- Simulation Cases
which are complemented by peripheral sub-divisions as e. g. Marketing.
As with the other modules, it is not only the goal of the module to fulfill all module-oriented tasks. The learning target is rather
- to perceive inherent possibilities of design in the Logistics field
- to show performance- and cost-related consequences of design options on a functional level
- to document design options with regard to their company-wide effects as e. g. the Return on Investment
- to document design options with regard to their company-wide effects expressed for example by key performance indicators like service levels, Return on Investment..
Learning Outcomes
Consulting expertise in the fields of
- Intra-Logistics
- Inter-Logistics
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Lectures
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Simulation Cases
| Type |
Seminar |
| Nr. |
IBC-06-04 |
| SWS |
2.0 |
| Content |
Modelling and Simulation is the process of creating and analyzing a digital prototype of a real-world model to predict and optimize its performance.
Whereas the lecture modelling and simulation found the basis and theoretical background of the simulation process and the introduction in Simio, this module forces students to do a full more praxis-relevant project.
Learning Objectives
The goal of the course is to allow students to realise a small realistic full simulation project from the beginning to the end.
Finally, students will be able to handle and understand the whole simulation process and can evaluate whether simulation is a proper approach to solving a problem. The lecture starts with a short recapitulation of "Modelling and Simulation" and goes on with the project |
| Literature |
Process Analysis and Improvement: Tools and Techniques, McGraw-Hill, Irwin, 2005
Applied Simulation Modeling, McGraw-Hill, Andrew Seila, Vlatko Ceric, Pandu Tadikamalla, 2003
Simio&Simulation; McGraw-Hill, W. David Kelton, Jeffery S. Smith, David T. Sturrock, 2011
Simulation Modelling with SIMIO: A Workbook SIMIO LCC, Jeffery A. Joines, Stephen D. Roberts, 2012
Further recommended readings are given in the lecture.
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Production and Operations Management
| Type |
Seminar |
| Nr. |
IBC-06-01 |
| SWS |
2.0 |
| Content |
Production has long had to assert itself as an economic service provider in global competition. Increasingly volatile markets and shorter product life cycles require flexible organizations that are able to quickly adapt to changes in the environment. Operations management requires thus agile decision processes based at a vast knowledge of models and tools to successfully lead productions.
This course covers from a management consultants perspective the fundamental questions in productions and operations management in relation to the product and the product and quantity spectrum to the effective and efficient organization of operative order processing. The focus is on methods whose systematic application increases the performance and efficiency of the production process. The reference to Lean Production and digitalization is established throughout and reflected on together. A lean production game will help to understand the main approaches to improve productions.
The students will have to make themselves familiar with the topics covered in the script, by reading and answering the questions related to the respective chapter.
Additional reading is required as basis for case studies in group-work help the students to actually apply the learned lessons. The respective results will be presented to the other students and the instructor.
Soft Skills:
• Improving cultural understanding, in particular by working in international teams to achieve measurable results
• Improving presentation skills by repeatedly presenting the results of group assignments.
Hard Skills:
• Analyzing complex issues in operations, develop and evaluate alternatives, take decisions, and implement the required change in the customer’s enterprise.
• Applying contemporary concepts of Production and Operations Management, Supply Chain Management techniques in the managerial decision process. |
| Literature |
Heizer, J., Render, B.: Operations Management (11th Edition), Pearson, 2013.
Rother, M.: Toyota Kata: Managing People for Improvement, Adaptiveness and Superior Results, McGraw Hill; 1. Edition, 2009
Womack, J.T., Jones, D.T., Ross, Daniel, The Machine that changed the world, New York, 1990. |
Modeling and Simulation
| Type |
Seminar |
| Nr. |
IBC-06-02 |
| SWS |
2.0 |
| Content |
Modelling and Simulation is the process of creating and analyzing a digital prototype of a real-world model to predict and optimize its performance.
The simulation approach includes:
- Creating and analyzing the model
The model includes the system architecture and flow of entities through the system as well as the data according to the mainly stochastical input and system parameters
- Implementing the model in a professional simulation environment (Simio)
- Define and process a series of experiments according to the objectives
- Interpreting the stochastical results
- Presting the results of the simulation
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| Literature |
Process Analysis and Improvement: Tools and Techniques, McGraw-Hill, Irwin, 2005
Applied Simulation Modeling, McGraw-Hill, Andrew Seila, Vlatko Ceric, Pandu Tadikamalla, 2003
Simio&Simulation; McGraw-Hill, W. David Kelton, Jeffery S. Smith, David T. Sturrock, 2011
Simulation Modelling with SIMIO: A Workbook SIMIO LCC, Jeffery A. Joines, Stephen D. Roberts, 2012
Further recommended readings are given in the lecture. |
Supply Chain Management IBC
| Type |
Seminar |
| Nr. |
IBC-06-03 |
| SWS |
2.0 |
| Content |
Strategic aspects of SCM like the optimization of international Logistics’ networks (e.g. procurement & distribution structures and processes) by modeling and simulation approaches tasking into account cost (e.g. transport, warehousing), capital employed (e.g. inventory, investments) and service level (e.g. delivery time) objectives. The important managerial perspective of “Make or Buy”-decisions is discussed as well, because outsourcing is an important option of modern Logistics. Furthermore process redesign and reengineering are introduced to the audience, as well as Supply Chain Controlling (SCC) based on predefined Key Performance Indicators (KPI) like the international used standard Supply Chain Operation Reference-Model (SCOR). |
| Literature |
Kulwant S. Pawar: Developments in Logistics and Supply Chain Management: Past, Present and Future, 1st Edition 2016
Deepankar Sinha: Global supply chains and multimodal logistics: emerging research and opportunities, 1st Edition 2019
David Grant: Sustainable logistics and supply chain management: principles and practices for sustainable operations and management, 1st Edition 2017
L. Wang et al: Contemporary Logistics in China: Persistent Reformation, Continual Opening and Vibrant Innovation, 1st Edition 2020 |
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