Additional information for Preactor
Key features of Preactor
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- Integrate and automate data transfer
- Modify existing and create new Preactor reports
- Set up or changeover times that are sequence dependent
- Transfer batching between operations (overlapping)
- Define import and export routines using the Preactor Wizard
- Publish schedules on a web site
- Plot the capacity usage of resources
- Plot the usage of additional resources such as labor, etc
- Modify the data tables
- More features listed on our website
Case studies and references are available in almost every manufacturing sector as well as services and logistics applications. Some of the measurable benefits include:-
15-20% Improvement in productivity – get more from what you already have.
40-50% Reduction in raw materials inventory – synchronize purchasing with an achievable schedule.
40-50% Reduction in make-span time – reduce WIP that slows down production flow.
50-90% Improvement in customer service – increase on-time deliveries.
These benefits can provide a return in investment (ROI) measured in weeks or just a few months.
Preactor takes a breakthrough approach to the planning process and uses its detailed scheduling roots to search for available capacity.
An important feature of any scheduling tool is the ability to customise it to meet the unique needs of each application. Templates can help to get the user to 80% of the requirements but to get the last 20% it’s important to be able to tailor the tool to fit.
ERP is good at costing, inventory control and transaction control for key business processes. Preactor is good at drilling down to the shop floor to manage individual orders or individual resources in real time. It generates achievable production schedules that take into account all potential or existing constraints on the shop floor. It can increase throughput, reduce work in process and raw material inventory. It provides a ‘crystal ball’ for the planner to use at shop floor level.
Some APS solutions have functionality that overlaps ERP particularly in the area of Bill of Materials (BoM), order generation and stock control. This may lead to synchronization issues. Preactor takes a different approach. It adds functionality, enables ERP and does not overlap so avoiding synchronization of data.
Preactor is designed for integration with ERP and data can be passed easily between them without affecting the others performance. Scheduling systems need ‘in memory’ data to aid scheduling speed whereas ERP systems are more transactional based. It is unacceptable for the performance of the scheduling system to be compromised by a ‘report run’ on the ERP system. Separate programs are essential.
Preactor 400 APS and higher versions have features to connect orders together so it can take into account the real constraints and unexpected delays automatically. SMC or 'Standard Material Control' is a function that creates links between orders (pegging of materials). These links can then be used by Preactor to ensure that only when materials are available from one or more producing orders can the consuming orders connected to them by SMC start. Rules can be applied by the user to control the selection of which producing orders to link to a consuming.
The user interface provided by Preactor can show order status in a variety of ways. This provides the planner with a complete picture of demand, capacity, resource usage and operation sequence, as well as the expected completion time for each operation in a Gantt chart.
When ERP systems use capacity to restrict the loading of operations into ‘buckets’ of time it will not take into account the sequence of loading within them.
The ability to make ad-hoc enquiries to establish when an order can be shipped is often a critical requirement. So called 'Available To Promise', ATP, (usually defined as a calculation based on the availability of current stock, work in process or fixed lead times) does not necessarily meet the needs of many companies.
Capable to Promise, CTP, (generally defined as taking into account the current status of production and the finite capacity of resources) is often what is really required. This is a more complex calculation based on data that most ERP systems do not have, so many offer instead, a simpler calculation based on finite capacity at a bucketed level e.g. da