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BENEFITS OF DOCUMENT

Introduction to the Theory of Constraints
Understand the five steps to process improvement based on TOC.
Visualization of the Theory of Constraints on the Kanban Board

DOCUMENT DESCRIPTION

The Theory of Constraints (TOC) (also known as bottleneck theory or throughput management) refers to thought processes and methods for improving the performance (throughput) of systems based on the findings of Eliyahu M. Goldratt.

The bottleneck theory is based on the insight of the system theory that the throughput of a system is exclusively determined by a limiting factor (the bottleneck or constraint). An improvement of the throughput requires that the entire system, starting from the limiting factor, is optimized across the board.
Based on the bottleneck theory, successful practical methodologies have been developed for production control, for marketing and sales, for trade, for supply chain management, for finance and controlling, for strategy development and, above all, for project management (critical chain project management).

This presentation will help employees understand and comprehend the Theory of Constraints and its importance in the context of process optimization.

Contents

* History of the Theory of Constraints - Eliyahu M. Goldratt
* What does the Theory of Constraints say?
* The TOC - Five Focusing steps
* The meaning of the Theory of Constraints in a context of an agile Task Board (Kanban Board)

Application

This presentation can of course be used as it is offered. It also contains a suggestion for an additional text for the presenter. However, it is recommended to adapt the presentation for one's own needs so that it can be used optimally tailored to the purpose intended by the presenter.

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Source: Theory of Constraints (TOC) PowerPoint document

Theory of Constraints (TOC)

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File Type: PowerPoint (pptx)

File Size: 9.4 MB

Number of Slides: 26 (includes cover, transition slides)

Related Topic(s): Process Improvement Theory of Constraints

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Initial upload date (first version): Apr 17, 2021
Most recent version published: Apr 18, 2021

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