Module

Voraussetzungen

Inhalte

• Foundations of Optimization in Business • Linear Optimization Techniques • Integer Programming • Network Optimization • Standort- und Tourenplanung • Business Applications and Transformation

Lernziele

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.

Prüfungsleistung

• Written Test, 90 minutes 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.

Bemerkungen

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