Course section 13.4: Subsections and their intended learning outcomes

13.4 Order Splitting, Order Overlapping, and Extended Scheduling Algorithms
Intended learning outcomes: Explain order or lot splitting, and overlapping. Present an extended formula for manufacturing lead time and extended scheduling algorithms.
13.4.1 Order Splitting, or Lot Splitting
Intended learning outcomes: Explain reducing lead time for operation i by using a splitting factor > 1. Describe how the split offset factor offsets the split lots in time.
13.4.2 Operation Overlapping and Overlapping Within an Operation
Intended learning outcomes: Explain the principle of overlapping within an operation. Describe the principle of operation overlapping.
13.4.3 An Extended Formula for Manufacturing Lead Time (*)
Present an extended operation lead time. Explain the corresponding extended lead time formula in its first and second version. Disclose the influence of overlapping of operations upon lead time.

13.4.4 Extended Scheduling Algorithms (*)
Intended learning outcomes: Identify various possible extensions of the scheduling algorithms. Describe possible cases arising in process industries.

Course 13: Sections and their intended learning outcomes

Course 13 – Time Management and Scheduling
Intended learning outcomes: Present the elements of time management. Explain in detail knowledge on buffers and queues. Disclose scheduling of orders and scheduling algorithms. Describe splitting and overlapping.
13.1 Elements of Time Management
Intended learning outcomes: Describe the order of the operations of a production order, operation time and operation load, the elements of interoperation time, administrative time, and transportation time.
13.2 Logistic Buffers and Logistic Queues
Intended learning outcomes: Explain wait time, buffers, the funnel model, and queues as an effect of random load fluctuations. Present conclusions for job shop production. Produce an overview on logistic operating curves.

13.3 Scheduling of Orders and Scheduling Algorithms
Intended learning outcomes: Describe the manufacturing calendar and the calculation of the manufacturing lead time. Differentiate between Backward Scheduling and Forward Scheduling. Explain network planning, central point scheduling, the lead-time stretching factor, and probable scheduling. Present scheduling of process trains.
13.4 Order Splitting, Order Overlapping, and Extended Scheduling Algorithms
Intended learning outcomes: Explain order or lot splitting, and overlapping. Present an extended formula for manufacturing lead time and extended scheduling algorithms.
13.5 Summary
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13.6 Keywords
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13.7 Scenarios and Exercises
Intended learning outcomes: Assess queues as an effect of random load fluctuations. Calculate examples for network planning, backward scheduling, forward scheduling, the lead-time stretching factor, and probable scheduling.
13.8 References
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