Optimization in Business Transformation
Optimierung der Unternehmensumwandlung
6 CPSummerEN
Prerequisites
Recommended, as written
• basic mathematical knowledge is desired, such as the content of Module 11112 Mathematik IT-1
Contents
• Foundations of Optimization in Business • Linear Optimization Techniques • Integer Programming • Network Optimization • Standort- und Tourenplanung • Business Applications and Transformation
Learning outcomes
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.
Assessment
• 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.
Literature (1)
- Winston W. L. Operations Research: Applications and Algorithms, fourth edition, Thomson, 2004
Remarks
Module with limited number of participants - Registration two weeks prior to the commencement of lectures!
Source: BTU's module description · retrieved 29 Sep 2026Original