Product Overview 

 
 
SNAPPS-SSS       SherTrack Six Sigma Services for Process Improvement Projects

 

Supply chain improvement initiatives involve complex interdependencies between customer service, production and inventory metrics. In addition, activities are usually poorly documented and difficult to control, routinely relying on the professional judgment of key personnel for critical decisions.

 

Design of Experiments (DOE) for PLAN to PRODUCE processes is usually not feasible as these activities cannot be practically managed to the required statistical control and confidence levels. SherTrack's Probabilistic Planning Models and Predictive Analytics offer a new approach enabling the effective application of advanced Six Sigma process improvement techniques. The results are dramatic.

 

SherTrack has successfully partnered with Six Sigma Black Belts and Business Process Excellence champions to deliver statistically significant double digit improvements in service, inventory, and production KPIs within a tightly scoped 2-3 month project. Visit our INFO CENTER for Six Sigma project case studies.

 

For Plan to produce process improvement initiatives that include Competing & interdependent metrics

Shorter Lead Times
Higher Fill Rates
More Agile Response

 

a unique technique that enables effective utilization of advanced six sigma DOE techniques

  • Accurately capture the physical process, planning policies and decision logic

  • Use DOE to determine the feasible process capability and identify statistically significant cause and effect relationships

  • Reduce implementation risk with realistic Plan to Produce  “FLIGHT SIMULATOR” environment

  • Predict and control performance, improve efficiency and operate closer to feasible process capability limits

 

 

 

 

 

 

 

 

 

 

 

 

 

SNAPPS Predictive Probabilistic Models combine detailed customer demand records and production capacity models with policy based optimizers that control decisions related to planning, scheduling, inventory management and order fulfillment to create realistic system models.

 

Link EXECUTION to POLICIES and realistically capture the consequences of day to day activities. Policies like line assignments, batch sizes, run sizes and sequencing constraints are formally documented and enforced to ensure that all production plans and schedules are feasible, and can be executed in practice.

 

SNAPPS Predictive Modeling is built on solutions for day to day operations. Unlike other supply chain modeling platforms, SNAPPS has the granularity required to capture operating decisions on a day by day basis.

 

Subject matter experts define the acceptable range for KPIs related to service, production throughput, yield, changeovers, and inventory levels giving all stakeholders control over their business domain policies and data.

 

Providing a common platform for cross functional teams from product marketing, production and supply chain, the SNAPPS Digital Models allow your business to answer important questions such as:

  • How do interdependent service-production-inventory metrics interact?

  • What are the feasible process capability limits for KPIs of service, production and inventory?

  • How do supply constraints such as plant uptime, transition times and production rates impact performance?

  • Which operating policies such as frequency of schedule update, schedule freeze period, minimum customer order size and minimum production run size have the most impact on KPI performance?

  • Can you offer your market shorter lead times?

  • What is the impact of segmenting your market and offering different levels of service?

  • How would you most effectively increase throughput and reduce transition costs?

SherTrack services can work with your internal teams, partner with your preferred consulting services provider or provide referrals to world class consulting organizations as your situation dictates.

 


 

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