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Module Number:
| 14495
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| Module Title: | Optimization in Business Transformation |
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Optimierung der Unternehmensumwandlung
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| Department: |
Faculty 5 - Business, Law and Social Sciences
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| Responsible Staff Member: | -
Prof. Dr. rer. pol. Xie, Lin
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| Language of Teaching / Examination: | English |
| Duration: | 1 semester |
| Frequency of Offer: |
Every summer semester
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| Credits: |
6
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| Learning Outcome: | By the end of this course, students will be able to:
- Understand Optimization Concepts
- Grasp the fundamentals of optimization and its role in business transformation.
- Differentiate between various types of optimization problems, such as linear, integer, network, and dynamic optimization.
Formulate and Solve Optimization Problems- Translate real-world business challenges into mathematical optimization models.
- Solve optimization problems using techniques such as Linear Programming, Network Optimization, and Integer Programming.
Apply Optimization to Business Scenarios- Implement optimization solutions in key business areas like supply chain management, resource allocation, marketing, and financial decision-making.
- Analyze how optimization contributes to process improvement, cost reduction, and strategic decision-making.
Utilize Optimization Tools and Software- Gain hands-on experience with industry-standard tools like LINGO or Delphi.
- Develop proficiency in interpreting and presenting optimization results to stakeholders.
Develop Critical Thinking and Analytical Skills- Critically evaluate optimization models for validity and applicability in business scenarios.
- Perform sensitivity analysis to assess the impact of changes in constraints or inputs.
Connect Optimization with Business Transformation Goals- Explore case studies demonstrating the impact of optimization on business transformation.
- Learn to align optimization initiatives with strategic business objectives to drive innovation and competitiveness.
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| Contents: | - Foundations of Optimization in Business
- Linear Optimization Techniques
- Integer Programming
- Network Optimization
- Standort- und Tourenplanung
- Business Applications and Transformation
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| Recommended Prerequisites: | - basic mathematical knowledge is desired, such as the content of Module 11112 Mathematik IT-1
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| Mandatory Prerequisites: | None |
| Forms of Teaching and Proportion: | -
Lecture
/ 2 Hours per Week per Semester
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Exercise
/ 2 Hours per Week per Semester
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Self organised studies
/ 120 Hours
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| Teaching Materials and Literature: | - Winston W. L. Operations Research: Applications and Algorithms, fourth edition, Thomson, 2004
Further materials are provided via Moodle (including lecture slides and additional materials including videos, readings etc.) |
| Module Examination: | Final Module Examination (MAP) |
| Assessment Mode for Module Examination: |
Bonus points (10 % of total points) can be earned through the group assignment and will be added to your final score only if you pass the written test. |
| Evaluation of Module Examination: | Performance Verification – graded |
| Limited Number of Participants: | 60 |
| Part of the Study Programme: | -
Master (research-oriented) /
Betriebswirtschaftslehre /
PO 2017
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Bachelor (research-oriented) /
Materialchemie /
PO 2018
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Master (research-oriented) /
Materialchemie /
PO 2018
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Master (research-oriented) /
Transformation Studies /
PO 2024
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Bachelor (research-oriented) /
Wirtschaftsinformatik /
PO 2024
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| | This module has been approved for the general studies. |
| Remarks: | None |
| Module Components: | Lecture and Excercise |
| Components to be offered in the Current Semester: | |
