SherTrack’s flagship technology is based on large-scale empirical studies across a wide cross section of industries. These studies revealed that demand could be managed using statistical process control (SPC) precepts.  SherTrack has developed predictive, probabilistic algorithms that can anticipate demand in the execution time horizon. SNAPPS PM is driven by customer orders and the probabilistic synthesis of expected orders.

This synthetic demand signal enables a true Lean Pull order-to-fulfillment process in complex production environments. SNAPPS PM’s powerful probabilistic inventory optimization and scheduling engines then determine the optimal manufacturing response to changing market demand. SNAPPS PM effectively manages both demand and supply variation, providing the optimal plant-system response for achieving Best-in-Class OTD and OEE performance.

Synthetic demand signal virtually eliminates the operational impact of forecast error

Profitable Response

In capital intensive industries, the key to successful management is to ensure the highest effective use of the business’s assets.  However, at the operational level this task can be daunting due to the impact of forecast error (demand variation), variation in production capabilities and the complexity of competing constraints.  Developed in a variety of real world process manufacturing environments, SNAPPS’ probabilistic inventory optimization and scheduling engines are designed to operate plants efficiently at the limits of their unique operational constraints. SNAPPS effectively manages demand and supply variation in complex environments to enable agile, demand-driven manufacturing.

Continuous Improvement Support

Determining the most profitable operational response to demand requires a system analysis of non-linear processes, interdependent constraints and business policies that limit options.  Discrete event simulation is recognized as the methodology of choice for analyzing these types of multivariate non-linear systems.

SNAPPS establishes an accurate digital model of the production environment that is integrated with SNAPPS discrete event simulator.  This digital simulator when used with structured methodologies can accurately evaluate and select the most profitable options and policies for guiding day-to-day business execution. This capability allows the business team to set service offerings and sales policies that maximize the potential of the business. Furthermore, the impact of a wide range of production options and policies can be quantified and thus proper KPIs determined to ensure the realization of maximum business value. 

By consolidating disparate and complex information into a digital model, firms can determine the appropriate offerings to increase revenue, improve resources utilization, and maximize profits. SNAPPS is fully aligned and integrated with process improvement methodologies such as Lean/Six Sigma & Theory of Constraints

SNAPPS Value

For process manufactures, SNAPPS enables agile demand-driven facilities capable of operating at the limits of their operational constraints.  SNAPPS improves OEE, total effective capacity and service levels (OTD) with less working capital.

SNAPPS simulation provides a powerful tool for evaluating a wide range of strategic & tactical policies, setting key performance targets and, moreover, enables achieving these targets in operations. 

Predictive analytics reduce implementation risk and provide unprecedented predictive business intelligence. Probabilistic planning models manage variation to more effectively control operations and allow running closer to feasible process capability limits, resulting in significant performance gains.

SherTrack's unique probability models capture demand/supply variation, enabling inventory and scheduling optimizers to make the "highest value" decision in an uncertain environment. SNAPPS probability models and integrated optimizers deliver the "highest expected value" results every time

Stabilizing the production environment and automating manual work practices frees key personnel to focus on higher value / process improvement activities.