A small setup time to have small production batches and small WIP inventory is an example of which concept?

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Multiple Choice

A small setup time to have small production batches and small WIP inventory is an example of which concept?

Explanation:
Quick changeover focuses on reducing setup time so small production batches are feasible and WIP stays low. When you can swap from making one product to another quickly, you’re no longer forced into large batches to absorb long downtime. Short setups mean you can run smaller lots without increasing total downtime, which directly lowers work in progress and lead times. This approach is often tied to SMED techniques that convert as much setup as possible to external tasks and streamline the remaining steps, enabling frequent changeovers and a more responsive, pull-based production system. Random-location storage is about where items are kept in the warehouse, not about how quickly you switch production between products. RFID helps with tagging and tracking, not with reducing setup time or batch size. Rough-cut capacity planning focuses on broad capacity constraints over a planning horizon, not the mechanics of changing setups to enable small batches.

Quick changeover focuses on reducing setup time so small production batches are feasible and WIP stays low. When you can swap from making one product to another quickly, you’re no longer forced into large batches to absorb long downtime. Short setups mean you can run smaller lots without increasing total downtime, which directly lowers work in progress and lead times. This approach is often tied to SMED techniques that convert as much setup as possible to external tasks and streamline the remaining steps, enabling frequent changeovers and a more responsive, pull-based production system.

Random-location storage is about where items are kept in the warehouse, not about how quickly you switch production between products. RFID helps with tagging and tracking, not with reducing setup time or batch size. Rough-cut capacity planning focuses on broad capacity constraints over a planning horizon, not the mechanics of changing setups to enable small batches.

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