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Theory of Constraints Handbook - James Cox Iii [4]

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Issues with DBM and By How Much to Increase/Decrease the Targets

The Role of Protective Capacity and the Usefulness of Maintaining a Capacity Buffer

The Process of Ongoing Improvement (POOGI)

Generic Issues in MTA

MTA for Components

Which Items Fit MTA and Which Fit MTO?

Vendor-Managed Inventory (VMI)

Mixed (MTA and MTO) Environments

Dealing with Seasonality

Problematic Environments for MTA

MTS That Is Not MTA

Implementation Issues

Moving from MTS or MTO to MTA

Software Considerations

References

Suggested Reading

About the Author

11 Supply Chain Management Amir Schragenheim

Introduction: The Current Practice of Managing Supply Chains

Problems with the Current System

The Natural Tendency for Push Behavior

Why Is It Impossible to Find a Good Forecasting Model?

The TOC Way—The Distribution/Replenishment Solution

Aggregate Stock at the Highest Level in the Supply Chain:

The Plant/Central Warehouse (PWH/CWH)

Determine Stock Buffer Sizes for All Chain Locations Based on Demand, Supply, and Replenishment Lead Time

Increase the Frequency of Replenishment

Manage the Flow of Inventories Using Buffers and Buffer Penetration

Use Dynamic Buffer Management

Set Manufacturing Priorities According to Urgency in the PWH Stock Buffers

Why Does a Pull Supply Chain Work Better?

Some of the Finer Points in Managing the TOC Distribution/Replenishment Solution

Managing Product Portfolios

Rules for Setting up Initial Buffer Sizes

Managing Seasonality in the TOC Distribution/Replenishment Model

Known Patterns for Sudden Changes in Consumption

Two Different Changes

Resolving the Forecasting versus DBM Dilemma to Provide Excellent Consumption before, during, and after an SDC

Identifying When an SDC Is Meaningful

Handling of an SDC

Implementing the TOC Distribution/Replenishment Model—How Can Software Help and Is It Really Needed?

Testing the Solution on a Smaller Scale

Simulation

Pilot Project

Managing the TOC Buy-in Process

Actual Results of the TOC Distribution/Replenishment Solution

Summary

References

Recommended Reading

About the Author

12 Integrated Supply Chain Chad Smith and Carol Ptak

Introduction

Identifying the Real Problem—Rethinking the Scope of Supply Chain Management

A Brief History of MRP

Can MRP Meet Today’s Challenge?

The MRP Conflict Today

The MRP Compromises

Actively Synchronized Replenishment—the Way Out of MRP Compromises

1. Strategic Inventory Positioning

2. Dynamic Buffer Level Profiling and Maintenance

3. Dynamic Buffers

4. Pull-Based Demand Generation

5. Highly Visible and Collaborative Execution

Case Studies

Case Study 1: Oregon Freeze Dry

Case Study 2: LeTourneau Technologies, Inc.

Summary

References

About the Authors

Section IV Performance Measures

13 Traditional Measures in Finance and Accounting, Problems, Literature Review, and TOC Measures Charlene Spoede Budd

Introduction

Traditional Cost Accounting and Business Environment

Development of Cost Accounting

Business Environment, First Half of the 20th Century

Business Environment, Second Half of the 20th Century

Accounting’s Response to a 20th Century Changing Environment

Direct or Variable Costing Income Statement

Activity-Based Cost Accounting

Balanced Scorecard

Lean Accounting

Traditional Budgeting, Capital Budgets, and Control Mechanisms

TOC Approach to Planning, Control, and Sensitivity Analysis

Planning

Throughput Control

Sensitivity Analysis

Throughput Accounting Approach to Performance Evaluation

Possible Explanations for the Lack of TOC Literature in Accounting and Finance

Future TOC Accounting/Finance Research Needs

Case Studies and Simulations

Information and Decision Making

Summary and Introduction of Remaining Chapters in This Section

Chapter Summary

Other Chapters Dealing with Performance Measures

References

About the Author

14 Resolving Measurement/Performance Dilemmas Debra Smith and Jeff Herman

Introduction

Do We Measure Too Much?

Why Do We Have Measurements?

Global Metrics

The Constraint Is the Primary Relevant Factor

Profit Maximizing in TOC

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