Scheduling Algorithm
About ShopFloorReporting.Com
ShopFloorReporting.com provides highly configurable manufacturing software and manufacturing execution systems (MES) for the shop floor. We also provide ERP class software for manufacturing enterprise management. Our industrial software is browser based thin client .net technology which makes management of MRP, MES and ERP funcions easy and quick even accross a large enterprise. We provide an open source to customers that are interested in managing their MES and ERP software internally.
Configured Scheduling Algorithms
ShopFloorReporting.com Quick Schedule software can be mostly manual or it can be automated to optimize your schedule to your specifications. If you choose an automated system, our software includes a scheduling algorithm. This scheduling algorithm is powered by artificial intelligence which prioritizes jobs based on time constraints, change-over issues, machine contraints, labor load leveling, raw materials, and/or any other variables that may influence your schedule's efficiency. Unlike a "canned" or generic system, our software is modified to consider scheduling options based on your specifications. By configuring our scheduling algorithm for your process, ShopFloorReporting.com Quick Schedule will deliver unsurpassed performance.
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Reacting to a changing schedule
The ShopFloorReporting.com scheduling algorithm constantly rearranges and evaluates potential schedules to provide the most advantageous schedule for each situation. Because our artificial intelligence is capable of analyzing countless alternative schedules per minute and evaluting their virtues, the system can make a informed decisions as how best to arrange the schedule. When unplanned jobs need to be added or existing jobs change priority, the scheduling algorithm recognizes this and reorganizes the jobs to best meet your new requirements.
Artificial Intelligence
Our artificial intelligence is based on genetic scheduling algorithms that translate your scheduling goals into ordered tasks based their importance. ShopFloorReporting.com scheduling algorithms are designed to optimize your schedule based on your requirements. We program artificial intelligence into the system which recognizes various levels of priority based on numerical associations. For example, if you are more concerned with product/project due date than labor load leveling, but you want the system to optimize both, we would program the system to give a higher number (or priority) to the due date to force the computer to consider the due date before any labor load issues.
Integration & Technology
Our scheduling algorithm can work in conjunction with other elements in our scheduling system. If desired, ShopFloorReporting.com Quick Schedule can monitor finished goods and automatically schedule more to be produced. The system can integrate with your existing software, run on hand-held devices, and work with other equipment (PLCs, scanners, etc.), giving the system a powerful interface. Our scheduling algorithm is a thin-client, browser-based technology, making it ideal to access from multiple locations.
Software Technology
Our software is based on Microsoft .net thin client architecture.
We have also developed a framework that allows us to rapidly configure our entry screens and reports.
This allows us to provide mission specific interfaces at any level of your enterprise.
We can give your proactive teams the tools they want and need to compete and win.
Scheduling Algorithm benefits include
- IT software support requirements are reduced
- hardware/servers reduced and can be centralized
- We provide intuitive user entry and reporting
- Intuitive interfaces = less training
- Total cost of ownership is far less than our competitors
- Systems can be rapidly and affordably updated as business opportunities arise
- Your ability to respond to future opportunities increases
Thank you for taking the time to visit our site to learn about
Scheduling Algorithm
Look for SFR at Manufacturing-CIO.com
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2012 ShopFloorReporting.com Manufacturing Software All rights reserved.
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