JIT Flashcards

1
Q

What is “Just-in-time (JIT)”? (3)

A

producing and procuring

  • the right items,
  • at the right time and
  • in the right amounts
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2
Q

What are the key principles of Just-in-Time (JIT)? Explain them roughly! (3)

A
  • 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)
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3
Q

What do push and pull systems lead to?

  • High / Low 🤸‍♂️ (2x4)
A

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
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4
Q

What is Kanban? (2)

A
  • A visual and flexible workflow management / scheduling system,
  • that aligns supplies with actual demand.
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5
Q

Explain how Kanban works, roughly? (2)

A

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
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6
Q

How can you describe an ideal state of efficiency?

A

With FLOW

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7
Q

What is FLOW?

A

F lexible systems
L eveled processes
O verload avoidance
W aste reduction

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8
Q

How can you increase productivity? (2)

A
  • Optimize the flow, material movement and streamline the process
  • Synchronise the four M’s (Manpower, Machines, Materials, and Methods)
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9
Q

Why are there queues (Warteschlangen)? (2)

A
  • Service time > Arrival time
  • Variability (in service / arrival times)
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10
Q

What is Little’s Law? (3)

A
  • work-in-process inventory
  • WIP = Processing rate * Flow time
  • a fundamental principle in queuing theory
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11
Q

Name different aspects by which queuing systems can be characterized! (4)

A

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

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