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Op.pla meets the needs of those involved in in planning under constrained resources, from sales and marketing (knowledge of the state of orders or the ability to provide clients with realistic delivery dates) to operations (defining the priority of production orders) and management (knowledge of the actual availability of resources and simulation of unexpected scenarios).

Op.pla has interfaces for other management systems, such as ERP, MES and data collection and analysis applications, guaranteeing consistency in the flow of information.

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Op.pla makes it possible to:
REDUCE LEAD TIMES AND WIP

Based on a finite capacity optimizer, Op.pla suggests the best possible sequence for production orders according to the "critical chain / buffer" management approach, which avoids fine-grained scheduling, but focuses on reducing lead time and increasing general efficiency.

INCREASE ON-TIME DELIVERIES

For each optimized order, Op.pla automatically calculates a deployment priority, which is displayed simply through a color-coding system, in relation to the estimated time to completion and the remaining time in the safety buffer. The program will then display orders that have a high chance of being late, compared to other orders that are proceeding as planned, in different colors. Based on the priorities suggested by Op.pla, operators are tasked with creating the daily production schedule and reporting how much was actually produced so that the information is passed on automatically to the management system and used in subsequent optimizations.

PREDICTIVE DATA ANALYSIS

The option to make decisions on the base of the data saved and simulate potential scenarios to anticipate problems.

GENERATION OF CORPORATE VALUE

Simplification of planning methods using fewer resources for scheduling and planning, thereby dedicating more resources to monitoring. Planning and organization thus become a corporate asset.

Don’t say AI,
until you productionize

Oròbix takes AI to work in the real world.