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n.BA.AD.SmaPr.24HS (Smart Production) 
Module: Smart Production
This information was generated on: 12 November 2025
No.
n.BA.AD.SmaPr.24HS
Title
Smart Production
Credits
4

Description

Version: 1.0 start 01 August 2024

 

Study Programme Applied Digital Life Sciences
Regulations Applicable RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Applied Digital Life Sciences degree programme
Module Type  
X Compulsory Module    Elective Module    Optional Module
Planned Semester 6th Semester
Module Coordinator Christian Glahn
Telephone / E-Mail +41 (0)58 934 50 17 / christian.glahn@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)
  • Christoph Lustenberger
  • Externe Referenten
Entrance Requirements
  • Sensors and Measurements
  • Process Engineering and Data 1
  • Process Engineering and Data 2
  • Bioprocessing and Modelling
Learning Outcomes and Competencies Technical skills:
  • Understand, recognize, and describe smart production concepts
  • Identify and design smart production management principles
  • Formulate, analyze, and compare smart production strategies
  • Integrate and document micro and macro processes in the interaction of production facilities, information systems, and corporate processes
  • Identify success factors and control indicators and establish measurement strategies
Transferable skills:
  • Strategic thinking and action
  • Interconnected thinking
  • Documentation of complex structures and systems
Module Content
  • St. Gallen Management Model
  • Digitization in industrial production
  • Economic and operational framework conditions of smart production in the life sciences
  • Elements of smart production
  • Data requirements and stakeholders
  • Interfaces and architectures of complex information systems
  • Implementation strategies
  • Success factors for smart production processes
Follow-up Modules -
Methods of Instruction 
  • Lecture series with excursions to industrial partners
  • Development of case studies
Digital Resources
  • Case studies
  • Moodle course with session and in-depth material
Lesson Structure / Workload  
 Contact Hours 56
 Guided Self-Study 28
 Independent Self-Study 36
 Total Workload 120
Classroom Attendance Attendance is encouraged, but not enforced with attendance list
Assessment Experience grade 100%
Language of Instruction  English
Comments Excursion to industrial partners

 

Course: Smart Production
No.
n.BA.AD.SmaPr.24HS.V
Title
Smart Production

Note

  • No module description is available in the system for the cut-off date of 12 November 2025.