The spring semester 2021 will certainly take place online until Easter. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers.

363-0453-00L  Strategic Supply Chain Management

SemesterAutumn Semester 2017
LecturersS. Wagner
Periodicityyearly recurring course
Language of instructionEnglish


AbstractThe course offers an introduction to the theory and practice of supply chain management. Students will learn how to develop supply chain strategies and supply chain networks based on firms’ competitive strategies and marketing priorities.
ObjectiveThe task of designing and managing supply chains requires that managers apply strategic, decision making and leadership skills in a supply chain context. The goal of this course is to develop and practice these skills.
ContentEffective supply chains ought to be aligned with and support the achievement of the firm’s corporate, business and product strategies, taking into account future opportunities and risks. This course will familiarize students with modern supply chain management theory and practice to develop and manage supply chains. The topics covered range from fundamental logistics and supply chain concepts (e.g. push vs. pull, postponement) to the development of supply chain strategies, relationships and networks.
Lecture notesCourse material will be available for download from the homepage of the Chair of Logistics Management:

http://www.scm.ethz.ch/teaching/courses.html

Login will be provided in the first lecture or can be obtained from the Teaching Assistant Stefan Naef (stefannaef@ethz.ch).
LiteratureThe following textbook is mandatory:
Chopra, Sunil and Meindl, Peter (2016): Supply chain management: Strategy, planning, and operation, 6th ed., Harlow, UK: Pearson Education.

The following textbook is supplementary:
Hopp, Wallace J. (2008): Supply chain science, New York: McGraw-Hill/Irwin
Prerequisites / NoticeThe final course grade will be a weighted average of the following:
Exam (semester end): 70%
Case studies (during the semester): 30%

Students (at least in groups of two) must bring a laptop with MS Excel and the Excel Solver installed to class.