Opcenter APS

Global competiton
The current trends in manufacturing are aimed at lowering inventory levels to reduce costs, while still being able to respond to shorter lead times and thereby satisfy customer demand. This forces companies to find ways to optimize production operations by reducing or eliminating nonvalue-added activities such as setup or waiting time. Highlighting potential problems allows the action to be taken to balance demand and capacity.

Opcenter APS products have been developed to meet this need. They are used by small and mid-size companies and large corporations to help meet demands made by their customers and beat the increasingly global competition.
Due to the flexible data model and scheduling logic, Opcenter APS products can be set up to meet a company’s planning and scheduling needs no matter what they are.


How does Opcenter APS help lean initiatives?
Lean manufacturing is currently one of the industry buzzwords, and quite rightly so. Most companies are under pressure to reduce costs while producing more and achieve shorter delivery times. All this has to be accomplished without an accurate indication of future demand and with lower inventories.

Who uses Opcenter APS?
Many companies, ranging from small and medium-sized businesses to large corporations, employ Opcenter APS as part of their global supply chain solution. These companies are located around the world. The software’s flexibility means that it can be used by companies in almost every sector of manufacturing, services, and logistics.

Opcenter PL
Opcenter PL is a strategic decision tool designed to aid you in long and mid-term planning. It considers forecast and long-term orders, supports decision making about the feasibility and affects the general direction of productions.

Opcenter SC
Opcenter SC is an interactive, multi-constraint scheduling system. Availability of resources and additional constraints, such as tooling and materials, are all taken into consideration during scheduling to ensure an accurate model of your environment. Orders can be scheduled quickly using intelligent built-in rules, and the planner also has the ability to manually interact with the schedule to make changes based on their experience or new information.



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