The evolutionary process normally starts when an organization realizes they need to make improvements within their operations to reduce costs or improve throughput. This process starts with adopting “industry best practices” that are learned from experiences within the industry. As the evolution takes place Six Sigma is traditionally the next step in the process, but 6? focuses mainly on quality issues and not operational improvements. The next step that normally progresses is implementing a Lean practice which really starts to focus on efficiency improvements within operations.

Once Lean has been implemented most organizations feel they have gained all of the operational improvements they can, but that is just not true. The final step in the process is Process Engineering or Work Measurement, and one that can be gone to initially and not through evolution. This will also assist with providing sustainability that is validated by engineered processes.

Implementing Process Engineering will scientifically identify the most efficient means to perform a given task or job. By using Process Engineering you will be able to identify actual productivity rates, facility throughputs, and it will assist with all operational planning.

Process Engineering eliminates the individual variances that can be created by doing time studies to identify a productivity rate and uses a predetermined motion time system that has been developed over many years. Maynard Operating Sequence Technique (MOST) is one of the more common forms of this practice around the world, and is growing in acceptance in the United States. MOST has been recognized as a valid form or work measurement within the Canadian auto unions which have agreed to a specific time allowance to perform a given task.

The key to success in a business is being proactive instead of reactive. By using Process Engineering you will be able to plan better and be better prepared for variances that arise within every operation. Process Engineering can, and should be, the cornerstone of information that becomes like building blocks for analysis. It can help in cost-benefit analysis for MHE (material handling equipment), facility planning/expansion, operational budgeting, facility capacity/throughput, and standardization.

By Douglas Cantriel

Waller & Associates, LLC

www.WallerAssoc.com

Douglas Cantreil, Managing Director