Well, to satisfy those wishing a broader overview and as a great realignment tool for those that have been using DFT for many years, this article continues the discussion on what Demand Flow Technology is.
Mathematical-Based Improvement Strategy
Developed in the mid-80’s, Demand Flow Technology is a scalable and comprehensive, mathematically-based Demand Driven improvement strategy designed to drive high levels of response capability, lead time compression, improve productivity and reduce costs enabling manufacturers to become more effective in meeting the needs of their customers on a daily basis. Demand Driven manufacturing with world-class customer service is achieved through alignment of advanced planning strategies with the response capability of the factory matched to actual customer demand. This creates a fundamental shift in strategy that forms the foundation for a responsive Demand Driven manufacturing organization.
As we all know, customer demand is extremely variable, and at times often volatile, requiring traditional manufacturing operations to maintain customer service levels by employing inventory in Finished Goods as well as throughout production. Conversely, DFT excels in providing the math and science to perfectly synchronize and balance the entire manufacturing environment accommodating changes in customer demand with minimal supporting inventory requirements. Through design, the company will produce to demand, improving response through the factory, improving customer service levels, and eliminating excess production inventories.
Production processes are synchronized, balanced and reorganized in a flow to enable substantial improvement to product velocity through production, with material replenishment systems designed to improve material availability, provide flexibility, reduce overhead and provide early visibility of shortages. Mixed-model flow is established through the optimization of manufacturing resources (labor and machine) supported by dynamic material replenishment strategies to achieve a faster and repeatable response. With reduced, repeatable and consistent response that is synchronized to daily demand, global organizations are transformed, regaining control of previously unbalanced production environments along with the high levels of inventory and ever increasing operational costs that are associated with traditional operations.
The goal for any company operating DFT is to have an agile production facility that is adaptive to customer demand requirements and is aligned with the entire Supply Chain. The business needs to become Demand Driven to survive and transition itself away from business processes that have traditionally permitted production environments to add significant costs to the business through long lead times and excessive over-production.
Employing a proven framework, manufacturers around the world have been adopting DFT for over three decades with transformational results. Utilizing tools such as Product Synchronizations, Sequence of Events, Mixed-Model Process Matrixes along with DFT Operation Methods sheets companies have designed and implemented mixed-model flow with resources that have the capability to handle changes in product volume and mix every day delivering a repeatable and predictable response to the customer.
Through alignment to actual demand, instead of a traditional forecast or planned order, the needs of the customer are met through synchronized and adaptive DFT manufacturing environments. By design, the potential for over-production is eliminated, flow is established reducing lead times and consequently a further reduction in WIP and Finished Goods inventories.
Designing Manufacturing Environments
In machine intensive environments, unique mathematical tools determine optimal batch sizes that enable high setup machines to produce closer to actual demand while facilitating production of a greater number of product types each day. With optimized batch sizes and mixed-model flow design, machine environments become more agile and adaptive to customer requirements significantly reducing quality exposure and the working capital position of the business associated with traditional batch production. As machine intensive environments produce closer to actual demand, DFT design releases capacity for the production of products that are actually required.
Specific design tools determine optimal product segmentation to be produced through the DFT Mixed-Model Flow Lines and Machine Cells, replacing product specific assembly lines that lack any form of flow, balance or responsiveness. Through the aggregation of demand, the mixed-model design of a flow line will accommodate changes in mix and volume on a daily basis. Seasonal or cyclic fluctuations in customer demand will also be less severe in impact as a wider range of products being manufactured on the same line.
Important Flexible Resource: People
Demand Flow Technology requires flexible employees to work within the manufacturing environment. Line staffing is determined on a daily basis to be aligned to demand requirements. By adjusting staffing on a daily basis and utilizing flexible operators, the DFT flow line will accommodate daily changes in demand without the redesign of the production environment. Employing a technique called Flexing, a team of operators will manage a flow line with more operations than there are operators significantly improving productivity compared to a line where one operator works in one operation.
The performance of the manufacturing environment is measured utilizing Flow-based metrics. On a daily basis, supervisors determine an hourly Flow Rate target to attain to ensure customer demand is achieved. Every hour, the line is measured against the planned Flow Rate and appropriate corrective actions applied to ensure the planned daily rate is achieved. Overall performance is defined through the measurement of Linearity. Linearity provides a business with the ability to closely measure how effective the entire production environment is at meeting plan during a month and hence the ability of the business to respond to its customers. By transitioning to Flow-based metrics a business can ensure that performance measurement is aligned to the Demand Driven goals of the organization, rather than traditional metrics such as Efficiency or Utilization that are in conflict with a Demand Driven organization.
Benefits & Conclusion
Demand Flow Technology enhances profitability by leveraging increased speed and response through manufacture. Working capital reductions of 41% on average and an average lead time reduction of 49% are achieved through the capability of DFT manufacturing environments and the creation of balance and flow resulting in an average space reduction of 15%. Average improvements of 8% of Cost of Goods (COGS) are attained as a result of significant productivity gains and a focus on flexible employees. Customer satisfaction is seen to improve on average by 9% through improved on-time deliveries and a consistent, predictable, repeatable response. Furthermore, a DFT organization can achieve greater competitive advantage and increased market share realized through the capability to manufacture any product based on actual customer demand rather than a forecast. Competing organizations have few options available to them; they can tie up more working capital with additional inventory, increase levels of overtime, or increase resources.
Demand Flow Technology will impact your business with improved customer satisfaction, compressed lead times, reduction in working capital and reduced Cost of Goods Sold, elevating the business to become a market leader.
Coming soon: How DFT and DDMRP (Demand Driven MPR) work together to improve flow through the entire Supply Chain (from supplier through the factory to the customer) generating significant ROI.
Sandy is responsible for the operational and tactical execution of High Impact’s global consulting and technology strategy; focusing on service delivery, execution excellence and delivery of tangible benefits for our clients. Leading the consulting and technology services team in the delivery of full-scale demand driven manufacturing and supply chain efforts, spearheading change initiatives, optimizing supply chains for bottom line results and building best-in-class demand driven global organizations. Sandy has been delivering these types of results for over 14 years with JCIT (John Costanza Institute of Technology), DemandPoint and now High Impact. Sandy has a passion for demand driven methodologies and is a ISCEA Certified Professional, as a Certified Demand Driven Planner (CDDP).