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Sept 2006 - Thin client scheduling system for injection molding.


Statistical Process Control Software

 
Statistical Process Control Software

About Tuppas Pricing


Our pricing for Statistical Process Control Software allows our clients to purchase a browser based system on a modular basis. This gives you the option of installing only the elements of an ERP or MES system that you want, with the ability to add on more functionality to the system in the future. This gives our clients the freedom to implement and integrate a lean solution at their speed at a much lower cost than a full enterprise implementation.

Pricing and SaaS


An attractive pricing option for Statistical Process Control Software is our Software as a Service, or SaaS option. Because we have browser based, thin client solutions, we can offer a configurable lean solution on a low monthly fee basis. This approach allows a customer to avoid heavy up-front cost and utilize a configurable, lean, open source software solution. Tuppas also offers financing to customers who wish to make a traditional software license purchase and also avoid a large up-front expenditure.

SPC - Statistical Process Control Software

Our SPC software uses data from your past successful production runs. In addition to our conventional statistical process control, Tuppas provides an expert SPC software system for closed loop process control. Tuppas closed loop statistical process control software provides an inexpensive way to increase your revenue by helping your staff create better production runs. We do this by presenting your employees with process settings obtained from the best product runs that have happened in the past. We can help your production staff run today's jobs better by helping them leverage the information you already have in your databases from past production runs.

Tuppas Software Systems



MES SolutionsERP SolutionsSupply ChainQuality Solutions
APS
Advanced Planning and Scheduling
Accounting
Accounting Information System
SCM
Supply Chain Management
SPC
Statistical Process Control
Production Reporting
Industrial Reporting
Purchasing Software
Procurement Software
CRM
Customer Relationship Management
SQC
Statistical Quality Control
Defect Tracking
Quality Assurance
Job Costing
Job Costing Software
WMS
Warehouse Management System
Job Tracking
Job Tracking System
Downtime Reporting
Downtime Tracking
Capacity Planning
Capacity Planning System
ERP
Enterprise Resource Planning
Quality Assurance
Industrial QA
Scrap Reporting
Scrap Reporting System
CMMS
Preventive Maintenance
MES
Manufacturing Execution System
Training Solution
Computer-based training
Process Control
Process Control System
MRP
Material Requirements Planning
Production Scheduling
Industrial Scheduling & Planning
Defect Tracking
Defect Tracking System
Inventory Management
Warehouse Management System
Advanced Planning
Advanced Planning and Scheduling
MRP
Material Requirements Planning
CMMS
Preventive Maintenance
WMS
Warehouse Management System
Training Solution
Computer-based training
Inventory Management
Warehouse Management System
Quality Control
Statistical Quality Control

How Our Statistical Process Control System Works

When a new job arrives at the plant floor, Tuppas SPC software searches through your existing data to find similar runs with the best production and quality results from the past. Once we have located the best runs, we display the applicable historical process settings data. We present a machine settings recipe to your staff which they can use to create a better result today. It's a recipe for success.

Request Info/Demo: Statistical Process Control Software


Return the the main Statistical Process Control Software page.
Statistical Process Control Software

Statistical Process Control Software Benefits

  • Process efficiency improvement
  • Decreased manufacturing mistakes
  • Improved utilization of employee knowledge
  • Improved adaptation to changing process conditions
  • Decreased process loss
  • Scrap reduction
  • Downtime reduction
  • Product transition improvements
  • Quality improvements
  • Improved materials utilization





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