# 13.4 Order Splitting, Order Overlapping, and Extended Scheduling Algorithms

## 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.

.

.

• ##### 13.7 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.

.