The Product Wheel Handbook

Creating Heijunka in High-Mix Process Operations
2. Auflage 2026
ISBN: 978-1-041-21882-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 224 Seiten, Format (B × H): 210 mm x 280 mm

Product Wheel is a scheduling strategy that has practical, well-proven methods for enabling operations managers to find the optimum balance between inventory, operating cost, and customer service, particularly useful in high-mix process operations. They do so in a way that increases throughput to either increase revenue or reduce operating cost while providing a structured, repeatable manufacturing platform that reduces plant floor chaos. DuPont, Exxon Mobil, Dow Chemical, and Litehouse Foods are just a few companies that have used the product wheel concept to achieve and sustain a competitive advantage.

Breaking down a fairly complex design process into manageable steps, The Product Wheel Handbook: Creating Heijunka in High-Mix Process Operations, 2nd Edition walks readers through the process for designing, implementing, and maintaining the product wheel technique. It describes each step in detail based on a case study taken from actual practice.

This book:

- Provides clear, practical guidance on how to balance the trade-offs encountered in implementing any scheduling strategy

- Describes how product wheels satisfy the lean goal of production levelling, Heijunka, in a much more comprehensive way

- Defines the cultural foundation necessary for smooth product wheel design and implementation

- Describes how product wheel design places appropriate emphasis on people engagement and empowerment as well as on process and technology

Many of the steps in wheel design described in this book are not new. What is new is a proven road map explaining how to apply them in an integrated, holistic manner, starting with a thorough understanding of material flow and equipment performance coupled with product characteristics and requirements. The result is a disciplined scheduling structure that will allow you to spend less of your time firefighting and more time in higher valued, more productive work. More importantly it provides your organization with a stable platform to deal with abnormal events in a less stressful and more logical manner.

This second edition benefits from the additional perspectives, experiences, and insights gained through the past thirteen years of product wheel design and implementation in a wider range of companies and industry sectors.

- It describes some of the advanced scheduling systems that have evolved over the past dozen years, how to take advantage of them, and when traditional tools like Excel are still appropriate and the better choice

- It details a dozen examples of the successes and benefits that various companies have achieved with product wheels. The Supply Chain Vice Presidents and Operations Directors describe in their own words the impact that product wheels have had on their operations

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

King, Peter L.

King, Jennifer S.

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Führung & Motivation
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Wirtschaftswissenschaften Betriebswirtschaft Management Qualitätsmanagement, Qualitätssicherung (QS), Total Quality Management (TQM)
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management

Inhaltsverzeichnis

1. Why Product Wheels – Challenges Facing Operations Managers, 2. The Solution – Product Wheels, 3. The Product Wheel Design and Implementation Process, 4. Step 1 – Begin with an Up-to-Date, Reasonably Accurate VSM, 5. Step 2 – Collect and Organize All the Required Master Data, 6. Step 3 – Decide on the Technology to Be Used, 7. Step 4 – Cellular Flow and Product Allocation, 8. Step 5 – Decide Where to Use Wheels to Schedule Production, 9. Step 6 – Analyze Products for a Make-to-Order Strategy, 10. Step 7 – Analyze the Factors Influencing Overall Wheel Time, 11. Step 8 – Put It All Together – Determine Overall Wheel Time and Wheel Frequency for Each Product, 12. Step 9 – Calculate Inventory Requirements, 13. Step 10 – Distribute Products across the Wheel Cycles – Balance the Wheel, 14. Step 11 – Determine the Optimum Sequence for Each Cycle, 15. Step 12 – Plot the Wheel Cycles, 16. Step 13 – Review with Stakeholders, 17. Step 14 – Revise the Scheduling Process, 18. Step 15 – Develop an Implementation Plan, 19. Step 16 – Develop a Contingency Plan, 20. Step 17 – Get All Inventories in Balance, 21. Step 18 – Confirm Wheel Performance – Put an Auditing Process in Place, 22. Step 19 – Put a Plan in Place to Rebalance the Wheel Periodically, 23. Prerequisites for Product Wheels, 24. Product Wheels and the Path to Pull, 25. Unintended Consequences – Inappropriate and Appropriate Use of Metrics, 26. Cultural Transformation and Product Wheel Design – The Synergy, 27. Examples of Product Wheel Benefits

Über Autor(innen)

Peter L. King is the president of Lean Dynamics, LLC, a manufacturing improvement consulting firm located in Rehoboth Beach, DE. Prior to founding Lean Dynamics, Pete spent more than 30 years with the DuPont Company, in a variety of control systems, manufacturing systems engineering, Continuous Flow Manufacturing, and Lean Manufacturing assignments. That included 18 years applying Lean Manufacturing techniques to a wide variety of products, including sheet goods like DuPont™ Tyvek®, Sontara®, and Mylar®; fibers such as nylon, Dacron®, Lycra®, and Kevlar®; automotive paints; performance lubricants; bulk chemicals; adhesives; electronic circuit board substrates; and biological materials used in human surgery. On behalf of DuPont, Pete consulted with key customers in the processed food and carpet industries. Pete retired from DuPont in 2007, leaving a position as Principal Consultant in the Lean Center of Competency. Recent clients have included producers of sheet goods, lubricants, fuel additives, polyethylene and polypropylene pellets, salad dressings, potato and corn chips, pharmaceuticals, vitamin tablets, and cheese sauces and puddings.

Pete received a bachelor’s degree in Electrical Engineering from Virginia Tech, graduating with honors. He is Six Sigma Green Belt certified (DuPont, 2001), Lean Manufacturing certified (University of Michigan, 2002) and is a Certified Supply Chain Professional (APICS, 2010). He is a member of the Association for Manufacturing Excellence, APICS, and the Institute of Industrial Engineers. He served as president of IIE’s Process Industry Division in 2009 – 2010.

Pete is the author of Lean for the Process Industries – Dealing with Complexity (Productivity Press, 2009, 2019), several other books published by Productivity Press, and a dozen published articles on the application of lean concepts to process operations. He has been an invited speaker at several professional conferences and meetings.

DuPont™, Tyvek®, Sontara®, Kevlar® are trademarks or registered trademarks of E. I. D duPont de Nemours and Company. Mylar® is a trademark of DuPont Teijin Films; Dacron® and Lycra® are trademarks of Koch.

Jennifer S. King is an Operations Research Analyst with Regulus Group, analyzing operational impacts of emerging FAA technologies and developing cost and performance models to support airline investment decisions. Prior to that, she spent five years with the Department of Defense developing discrete event simulation models to assist the army in setting reliability requirements for new platforms, and analyzing performance of weapon systems alternatives. Her prior publishing experience includes editing textbooks and developing mathematics problems and solutions for ExploreLearning, and co-authoring the first edition of this book and Value Stream Mapping for the Process Industries.

Jennifer has degrees in Mathematics and Psychology from the University of Virginia, and a Masters degree in Operations Research from the University of Delaware. She is a member of INFORMS.