Optimierung der Unternehmensumwandlung

• 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.

Written Test, 90 minutes

Die einzigen Termine im WiSe 26/27 sind Prüfungstermine – gelehrt wird das Modul in diesem Semester nicht.

Winston W. L. Operations Research: Applications and Algorithms, fourth edition, Thomson, 2004

Module with limited number of participants - Registration two weeks prior to the commencement of lectures!

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