JIT Flashcards
What is “Just-in-time (JIT)”? (3)
producing and procuring
- the right items,
- at the right time and
- in the right amounts
What are the key principles of Just-in-Time (JIT)? Explain them roughly! (3)
- One-piece flow: Moving a product through every step of the process without grouping it into a batch
- Takt time: s.o.
- Pull-based production: Products are pulled into production as needed or requested by customers (no overproduction)
What do push and pull systems lead to?
- High / Low 🤸♂️ (2x4)
Push System lead to: Low flexibility
- High capital lockup
- High inventory
- High planning efforts
Pull System lead to: High flexibility
- Low capital lockup
- Low inventory space needed
- Low planning effor
What is Kanban? (2)
- A visual and flexible workflow management / scheduling system,
- that aligns supplies with actual demand.
Explain how Kanban works, roughly? (2)
Pull system
- Once a certain number of resources is consumed, the supplier receives a signal to produce/deliver a new shipment.
- Rate of demand controls the rate of production.
Visual signals
- Control signal, can be visualized with physical Kanban cards
- containing relevant information for supply (e.g., item description, item number, order date, quantity) or other signaling mechanisms
How can you describe an ideal state of efficiency?
With FLOW
What is FLOW?
F lexible systems
L eveled processes
O verload avoidance
W aste reduction
How can you increase productivity? (2)
- Optimize the flow, material movement and streamline the process
- Synchronise the four M’s (Manpower, Machines, Materials, and Methods)
Why are there queues (Warteschlangen)? (2)
- Service time > Arrival time
- Variability (in service / arrival times)
What is Little’s Law? (3)
- work-in-process inventory
- WIP = Processing rate * Flow time
- a fundamental principle in queuing theory
Name different aspects by which queuing systems can be characterized! (4)
Number of servers - number of service channels or resources available to serve in the queue
Queuing discipline - method or rule for selection from the queu, e.g.,
- First-in-first-out (FIFO),
- Last-in-first-out (LIFO)
Arrival sources - infinite vs limited
Queue space - infinite vs limited