Learning D3 Select Cases by Data Characteristics

D3 Choose Cases by Their Data Characteristics

中文 · Learning Center

An Industry Name Provides Context

Within machining, one case may allocate daily quantities, another sequence multiple operations, and a third focus on batch sizes and subcontracting. Select an example from the decision and available data rather than the industry label alone.

Start by describing the production structure below, then compare the data requirements and model capabilities.

Build a Scenario Profile

Dimension	Record	Why it matters
Decision granularity	Period quantities or precise sequence	Planning and scheduling use different capabilities
Process structure	Fixed routes, alternatives or cyclic sequences	Determines model structure
Resources	Single machines, parallel resources, shared tooling	Defines resource relationships
Batches	Fixed sizes, multiples and multiple outputs	Affects quantities and integer consistency
Changeovers	Color, specification, tooling and direction	Requires attribute mappings and changeover-cost definitions
Time	Shifts, maintenance, due dates and frozen work	Defines windows and stability
Materials	Operation consumption, arrivals and inventory	Determines upstream checks or modeled conditions

Keep the profile concise but identify a supporting table, field or business confirmation. A dataset without shared-tooling information cannot be assumed to enforce that restriction because of its industry.

Transfer from a Similar Case

The stamping sample teaches period demand, capacity and material checks. The injection sample teaches attribute-driven circular sequencing. Compare these structures before replacing names and values.

Match	Next step
Structure and constraints match	Integrate a copy, verify units and rules, then run
Structure matches but fields or mappings are missing	Complete the data before chain validation
A required rule lacks an effective interface	Define the extension and checks, then adapt a small scope
Decision structure differs substantially	Select another capability or model

SolverReady refers to the dataset-and-capability combination and the scope of its report. It does not imply that any other model can solve the same data.

Make a Selection

Teaching scenario X has daily demand, operation-level materials and capacity; its immediate question is daily quantities. Scenario Y has released tasks, color attributes and reused cycles; its question is ordering within those cycles. X can start with the planning example, Y with circular sequencing. If Y also includes complex reentrant routes, confirm whether the model represents them.

Exercise and Review

First profile X and Y above: select period-quantity planning for X and a circular-sequence case for Y, listing the conditions still to confirm for each.

When datasets are available, profile three and identify the closest existing example for each. List reusable parts, required changes and unresolved conditions.

Base the answer on data relationships and decision structure. “Both make automotive parts” does not establish fit. Shared resource, time or changeover structures provide a testable basis for reuse.

Further Reading

Stamping Planning Case · Injection-Molding Scheduling Case · End-to-End Scenario · Scenarios and Pain Points

Worksheets: Worksheet: Baseline and Adjusted Plan Comparison

Topic D · Previous: Injection Molding: Explain Attributes and Changeovers · Next: From the Master Plan to Work Release and Scheduling