The WIP Reduction app offers a data-powered overview of the manufacturing value chain and enables you to identify the systemic bottlenecks that generate WIP. Additionally, the app also forecasts where WIP is likely to be generated in upcoming production runs and offers recommendations on how the load on the production line can be better managed in order to optimize manufacturing.
Mapping the value chain is the key to identifying excessive WIP. By gaining full visibility over the production process, the app is able to identify and predict bottlenecks.
STEP 1: CREATE VISIBILITY ON CURRENT WIP
The app eliminates data silos by connecting manufacturing assets and processes into a seamless flow. With a complete overview of the production process, the interactions between components and variables are analyzed.
STEP 2: BRING PREDICTABILITY OF WIP
The interactions across the manufacturing value chain
are studied to arrive at repetitive behaviors or patterns that result in WIP. With data-enabled insights and simulations,
the app forecasts where WIP will be generated.
STEP 3: IDENTIFY BOTTLENECKS IN THE MANUFACTURING VALUE CHAIN
With real-time data and a holistic view of the process, the app gauges the supply chain, demand, availability of raw materials, and multivariate factors to pinpoint where bottlenecks will be created in each production run.
STEP 4: PROVIDE INSIGHTS ON ROOT CAUSES
Historical and real-time data is analyzed to identify the factors that generate WIP. Additionally, real-time recommendations help manage production inputs to avoid these causes and streamline inventory, thereby making long-term process improvements as well.
The Neewee Advantage
Deployment in 8-10 weeks
Visibility across the value chain
Algorithmic bottleneck identification
Configurable business rules
The WIP Reduction app is an industry-agnostic solution that can be applied horizontally across manufacturing operations to reduce buffer stock, wastage and working capital.
The WIP Reduction AI app’s detailed, data-powered overview has enabled leading global companies to optimize output and production efficiency.