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Title: Supply Chain Master Simulation Game
Short Code: SCM Game (2 Days block course)
ECTS Credits: 3
UAS: ZHAW
Organizer Details: Stefan Dingerkus, ZHAW + Katharina Luban, OST
Evaluation:

Reflection Report

Decision Date: 6 November 2022 
Start Date: 2 March 2023 
End Date: 3 March 2023 
Date Details:

02./03.03.2023 at OST/HSR Rapperswil
Registration open - applications welcome.




Type:

EVA

Language(s):

Standard: English (German if all students speak German)

Description (max. 300 characters):

Within the framework of the "playful" simulation of a supply chain with illustration of procurement, production and sales processes, the participants experience the interaction between lead time and inventory. The significance of these processes for delivery fulfillment and delivery capability as well as their immediate effects are discussed.
In intensive discussions and compact theoretical inputs, the participants learn to develop efficiency-enhancing measures that are implemented directly in the game and which are
whose effect on performance can be seen from various key figures. Furthermore, the participants will already transfer the insights gained in the simulation into their own professional environment during the seminar.

Contents and Learning Objectives:

At the end of the two-day course, the students will be able to
a) to know (K1), understand (K2) and describe logistical and supply chain interrelationships
b) To apply logistic and supply chain contexts in the immediate context of the subject matter and the exercises (K3)
c) to analyse, evaluate and explain logistical relationships in the context of a complete supply chain in the context of the simulation (K4)
d) To synthesize (K5) and evaluate (K6) the logistical relationships of a complete supply chain within the scope of the simulation game
The codes in brackets refer to the taxonomy of learning objectives according to Bloom:
K1: Knowledge
K2: Understanding
K3: Apply
K4: Analyze
K5: Synthesize
K6: Rate
The two-day simulation focuses on a supply chain simulation. In the simulation, which depicts procurement, production and sales processes, participants learn about the interaction between lead times and inventory levels. In doing so, their significance for delivery fulfillment and delivery capability as well as their direct effects on process costs and the logistical contribution margin are communicated transparently. In addition, the participants experience the relevance of external and internal information flows and their effects on business success.
Intermediate presentations and reflections deepen the Lean Logistics approach methodically and illuminate specific aspects of the simulation in situ. In intensive discussions, the participants learn to identify "waste" practically and to develop efficiency-enhancing measures in the sense of "lean processes",
which are implemented directly in the simulation and whose effect on the logistical and business performance can be seen from various key figures.
In addition, the participants learn and practice how improvement processes are organized in companies.
In the haptic simulation game and the accompanying theoretical inputs and exercises, the transfer of knowledge focuses on explaining the supply chain management approach through flows and processes, as well as production planning and control and to implement it.

Admission: open to students from all UAS
Literature:

Eliyahu Goldratt: The Goal
or
Martin Christopher: Supply Chain Management

Conditions:

The grade bases on student's seminar participation and a personal reflection report on the seminar in comparison with one of the two books mentioned above.

Contact:

registration by e-mail to Stefan Dingerkus: stefan.dingerkus@zhaw.ch - Phone 058 934 78 03

 
Contact Person E-Mail: stefan.dingerkus@zhaw.ch
Status: registration open
 
Specialization: Business Engineering and Production (BEP)

Energy and Environment (EE)

Industrial Technologies (InT)

Information and Communication Technologies (ICT)

Civil Engineering & Building Technology (CEBT)

Geomatics (GEO)

Spatial Development & Landscape Architecture (SDLA)

Aviation (Avi)

Business Engineering (BE)

Building Technologies (BT)

Civil Engineering (CE)

Computer Science (CS)

Data Science (DS)

Electrical Engineering (ElE)

Energy & Environment (EnEn)

Geomatics (Geo)

Mechanical Engineering (ME)

Mechatronics & Automation (MA)

Medical Engineering (Med)

Photonics (Pho)

Raumentwicklung & Landschaftsarchitektur (ReLa)
 

[Responsible for this text: Dingerkus Stefan]