Products of the Suite


QPScheduleris a tool for scheduling and optimizing production to finite or actual capacity available at the plant. It helps to maximize the use of resources and minimize costs and the cycle of completion of work orders, whether be manufacturing or service such as repairs.

QPScheduler is structured in such a way that it allows the modeling of the company’s production processes for different forms of organization from Design to Order (Engineering to Order ETO) to Order to Stock (Make to Stock MTS), including mixed combinations.

The use of graphical easy-to-use components make QPScheduler an essential tool to keep up on the general state of the manufacturing plant or repair shop, as well as to obtain the detail of each work in progress and to make their management more efficient.

QPScheduler provides analysis and detection tools for bottlenecks. This advanced functionality makes it possible to graphically visualize the global utilization of each work center in a given period of time. It also allows to employ usage profiles to detect critical work centers. Once critical centers have been detected, by just a click, QPScheduler provides detailed information of the resources that constitute the work center, allowing to detect bottlenecks at the resource level, and finally reach the information level of work orders.

These forms of displaying the information allow personnel responsible for production planning and control, to make operational decisions, to release the critical resource and,  thus, meet specific requirements.


Maintenance and repair tasks management system (corrective, preventive, scheduled) for both external and owned equipment, under a service or warranty contract (management of workshops / branches).

Key features:

  • Specification of standard maintenance tasks by model, equipment, component with expected spare parts, necessary human resources (quantity and profile) and standard execution times.
  • Specification of routine maintenance tasks by calendar time or cycles (hours of use, km traveled)
  • Visualization of the maintenance plan by period with the necessary human resources and spare parts.
  • Costing of maintenance orders (labor, materials).
  • Update of estimated lifespan based on maintenance data.
  • Integrated statistics and reporting module: failures, used hours, mean time between failures (MTBF), mean time to repair (MTTR), maintenance costs, scheduling compliance.

QP-DSM (Demand And Supply Management)

In order to meet demand needs and minimize the stock of spare parts and pieces, QP-DSM has the ability to predict when an action will be required, whether it is to change a part, repair it or simply carry out a revision. Based on probabilistic algorithms, QP-DSM indicates the precise moment to request a component or the repair of parts by launching work orders.

It produces estimates of component demand and repair needs using information from the different modules in the suite.

Key features:

  • It produces an estimated failure distribution according to parametric statistical functions, for both early failures (generally with an exponential distribution) and normal failures (generally with a Gaussian distribution).
  • It provides simulated alternatives to advance or delay changes and / or repair components.
  • It generates estimates of components to fail in each period and of the needs for repair and stock of components

QP-CSM (Component Status Monitoring)

It combines information of the status of components from heterogeneous sources in different ways (real time, web services, specific access, mobile applications). It facilitates data analysis, setting action alerts and warnings, and monitoring of scheduled activities.

Key features:

  • Management of standard routines and subroutines (SOS, VIMS, Vision Link) and particularities of the set up with specification of criticality limits.
  • Quick view of equipment / components with data not analyzed out of limit.
  • Issuing of automatic alarms and warnings of action required for data outside limits or for key indicators (e.g. accumulated engine consumption greater than X liters, accumulated iron particles greater than VaR, etc.).
  • HotSheet with general status of the components.
  • Data record from different sources: CAT webservices, Minestar, corporate databases, online, text files, Excel, OOCal.
  • Update of estimated lifespan based on monitoring data


Business Intelligence web platform, which facilitates the management at all levels of the organization and work areas. It also provides the necessary information for a quick and effective decision-making process from integrated dashboards with the different modules of the suite.

  • Key Features:
  • Web architecture
  •  3A Availability: AnyWhere, AnyTime, AnyDevice
  • Quick implementation: Information available from the beginning
  • Focused on any segment of the value chain
  • Quick and intuitive interface
  • It allows the decision-making based on real data and on real time


It creates, modifies and uses measurement data registration or quality control forms based on Excel spreadsheets developed by the same users.

Key Features:

  • It allows users to develop registration forms without the need of IT support. The forms allow the following:
  • To take advantage of Excel intrinsic functionalities
  • To store, maintain and use of the forms centrally, from a catalog under a security system with version control.
  • To record data on their own or in specific user tables for statistical process control.
  • To allow the Excel validations and extra specifications (metadata).
  • They can be used in any suite or corporate system.
  • Specific function for integrated auditory registration.


Control system of movements of physical goods within the company, as well as incoming and outgoing goods.

Key features:

  • Multi-store, multi-warehouse. Movements between internal and external warehouses
  • Reception of materials with registration of inspections and generation of non-conformities.
  • Management of reservations, deliveries to the plant floor, material returned to the warehouse and to suppliers, movements with third parties (machines or services).
  • Management of physical location within the warehouse.Parametric traceability per item (serial number / batch number / no traceability)
  • Integrated statistics and reporting module.