System and method for facilities management

• US 20040049369A1
• Filed: 08/31/2002
• Published: 03/11/2004
• Est. Priority Date: 08/31/2002
• Status: Abandoned Application

• Current Assignee: Cargill, Inc. (Agricultural Services Division)
• Original Assignee: Cargill, Inc. (Agricultural Services Division)
• Inventors: Olson, Terry, Jones, John, Clark, Kym, Larson, Wendee, Mead, Bill, Kloyda, Dave, Konicek, Joseph G., Foster, Rowdy, Threlkeld, Jeff
• Application Number:
  US10/232,959
• Publication Number:
  US 20040049369A1
• Time in Patent Office: Days
• US Class Current: 703/7
• CPC Class Codes: G06Q 10/043 Optimisation of two dimensional placement, e.g. cutting of clothes or wood

Abstract

Systems and methods for managing a facility such as a production facility, mill, plant, etc. are disclosed. One such system includes a system for modeling a production plant. The system includes a processing unit and a memory portion in communication with the processing unit having information stored to configure the processing unit to receive model data for the production plant, receive operational data for the production plant, compare the operational plant data to the model plant data, and generate a report at least daily containing the comparison between the operational plant data and the model plant data. One such method includes a method of managing a facility having at least one process, the at least one process having a plurality of steps. The method includes receiving model data relating to the plurality of steps of the at least one process, receiving actual data relating to the plurality of steps of the at least one process, and comparing the model data to the actual data.

Claims

1. A system for modeling a production plant, the system comprising:

a processing unit; and

a memory portion in communication with the processing unit having information stored therein to configure the processing unit to;

receive model data for the production plant;

receive operational data for the production plant;

compare the operational plant data to the model plant data; and

generate a report at least daily containing the comparison between the operational plant data and the model plant data.

2. A method of managing a transfer of material within a plant, the method comprising:

receiving model bin storage data;

receiving model flat storage data;

generating model data from the model bin storage data and the model flat storage data;

receiving actual transfer data; and

comparing the model data with the actual transfer data.

3. The method of claim 2, wherein the model bin storage data further comprises data relating to at least one of time for bin cleaning, rate for bin cleaning, leg capacity, ingredient density, operator time, set time, clean time, average run length, and tons per month.

4. The method of claim 2, wherein the model flat storage data further comprises data relating to at least one of leg capacity, practical leg capacity, ingredient density, operator time, set time, clean time, average run length, and tons per month.

5. The method of claim 2, wherein actual transfer data comprises data relating to at least one of tons associated with the transfer of material, run length associated with the transfer of material, and hours associated with the transfer of material.

6. A method of managing physical maintenance of a plant, the method comprising:

receiving model maintenance data;

generating model data from the model maintenance data;

receiving actual maintenance data; and

comparing the model data with the actual maintenance data;

wherein the model maintenance data further comprises data relating to at least one of a mezzannine area, and a sweeping time based on empirical data.

7. The method of claim 6, wherein actual maintenance data comprises data relating to hours associated with the physical maintenance of the plant.

8. A method of managing personnel time for a recurring meeting in a plant, the method comprising:

receiving model data relating to a number of employees for the recurring meeting;

receiving model data relating to a time per employee for the recurring meeting;

generating model data relating to a total number of hours required for the recurring meeting;

receiving actual data relating to a total number of hours for the recurring meeting; and

comparing the model data relating to the total number of hours required for the recurring meeting with the actual data relating to the total number of hours for the recurring meeting.

9. The method of claim 8 wherein the recurring meeting is a safety meeting.

10. The method of claim 8 wherein the recurring meeting is a shift meeting.

11. A method of managing a bag material receiving process in a plant, the method comprising:

receiving model bag receiving data;

generating model data from the model bag receiving data;

receiving actual bag receiving data; and

comparing the model data with the actual bag receiving data;

wherein the model bag receiving data further comprises data relating to at least one of amount of bag material received with a forklift, and a capacity of the forklift.

12. The method of claim 11, wherein actual bag receiving data comprises data relating to at least one of tons associated with the bag material receiving process, run length associated with the bag material receiving process, and hours associated with the bag material receiving process.

13. A method of managing a bulk material receiving process in a plant, the method comprising:

receiving model dumping data;

generating model data from the model dumping data;

receiving actual dumping data; and

comparing the model data with the actual dumping data.

14. The method of claim 13 wherein the model dumping data and the actual dumping data further comprises data relating to at least one of bag size, bag tons per month, bags dumped per time, bags dumped per hour, operator time, set time, clean time, weigh time, sample time, testing time, average load size, and dump tons per person hour.

15. A method of managing a mixing process in a plant, the method comprising:

receiving model mixing data;

generating model data from the model mixing data;

receiving actual mixing data; and

comparing the model data with the actual mixing data;

wherein the model mixing data further comprises data relating to at least one of a best practice time for mixing, and a batches per hour.

16. The method of claim 15, wherein actual mixing data comprises data relating to at least one of tons associated with the mixing process, run length associated with the mixing process, and hours associated with the mixing process.

17. A method of managing a packing process in a plant, the method comprising:

receiving model dry packing data;

receiving actual dry packing data;

comparing the model dry packing data with the actual dry packing data;

receiving model wet packing data;

receiving actual wet packing data; and

comparing the model wet packing data with the actual wet packing data.

18. The method of claim 17, wherein actual dry packing data and actual wet packing data comprises data relating to at least one of tons associated with the packing process, run length associated with the packing process, and hours associated with the packing process.

19. The method of claim 17, wherein comparing the model dry packing data with the actual dry packing data further comprises calculating a dry packing efficiency.

20. The method of claim 17, wherein comparing the model wet packing data with the actual wet packing data further comprises calculating a wet packing efficiency.

21. The method of claim 17, wherein at least one of the model dry packing data, the actual dry packing data, the model wet packing data, the actual wet packing data further comprises bag size data.

22. The method of claim 21, wherein the bag size data further comprises data relating to at least two bag sizes.

23. The method of claim 22, wherein the bag size data further comprises data relating to at least one of average bag weight, scale rate of number of bags per time, scale rate of number of bags per minute, actual rate of bags per time, actual rate of bags per minute, and bag tons per month.

24. The method of claim 17, wherein at least one of the model dry packing data and the model wet packing data comprises data relating to a manufacturer specification for at least one piece of packing equipment.

25. The method of claim 24, wherein the at least one piece of packing equipment is a piece of automated packing equipment.

26. The method of claim 17 wherein at least one of the model wet packing data and the actual wet packing data further comprises data relating to liquid addition, setup and clean up time.

27. A method of managing a shipping process in a plant, the method comprising:

receiving model shipping data;

generating model data from the model shipping data;

receiving actual shipping data; and

comparing the model data with the actual shipping data;

wherein the model shipping data further comprises data relating to one of a set time for a rail car, a clean time for a rail car, a sample time for a rail car, a weigh time for a rail car, an operator rate for a rail car, a load rate for a rail car, a wet clean rate, a wet load rate, a wet average tons per item, and a resacking rate.

28. The method of claim 27, wherein actual shipping data comprises data relating to at least one of tons associated with the shipping process, run length associated with the shipping process, and hours associated with the shipping process.

29. A method of managing a pelleting process in a plant, the method comprising:

receiving model pelleting data;

generating model data from the model pelleting data;

receiving actual pelleting data; and

comparing the model data with the actual pelleting data;

wherein the model pelleting data further comprises data relating to one of die friction, throughput of a pelleting machine, energy cost of the pelleting machine, and a time required to change a die of a pelleting machine.

30. The method of claim 29, wherein actual pelleting data comprises data relating to at least one of tons associated with the pelleting process, run length associated with the pelleting process, and hours associated with the pelleting process.

31. A method of managing a maintenance process in a plant, the method comprising:

receiving model maintenance data;

generating model data from the model maintenance data;

receiving actual maintenance data; and

comparing the model data with the actual maintenance data;

wherein the model maintenance data further comprises data relating to one of a number of extruders, and a number of dryers.

32. The method of claim 31, wherein actual maintenance data comprises data relating to hours associated with the maintenance process.

33. A method of managing an energy consumption process in a plant, the method comprising:

receiving model energy consumption data;

generating model data from the model energy consumption data;

receiving actual energy consumption data; and

comparing the model data with the actual energy consumption data;

wherein the model energy consumption data further comprises data relating to one of an energy amount associated with an extruding process, an energy amount associated with an extrusion screen, an additional amount of steam, an additional BTU usage, and wet packing amps.

34. The method of claim 33, wherein actual energy consumption data comprises data relating to at least one of fuel cost, BTU per volume of product, and cost per kilowatt.

35. A method of managing operations processes in a plant, the method comprising:

receiving model operations processes data;

generating model data from the model operations processes data;

receiving actual operations processes data; and

comparing the model data with the actual operations processes data;

wherein the model operations processes data further comprises data relating to one of a cost associated with a security guard and a currency conversion.

36. The method of claim 35, wherein actual operations processes data comprises data relating to at least one of overtime data, absentee data, vacation data, demurrage, and supervisor hours.

37. A method of managing contract labor in a plant, the method comprising:

receiving model contract labor data;

receiving actual contract labor data; and

comparing the model contract labor data with the actual contract labor data;

wherein the model contract labor data and the actual contract labor data further comprise data relating to a cost associated with contracting one of interplant transfer, bag receiving, bulk receiving, mixing, packing, wet packing, bulk warehouse, bag warehouse, pelleting, grinding, second mixing, rolling, flaking, grain processing, block pressing, and extruding.

38. A method of managing an extruding process in a plant, the method comprising:

receiving model extruding data;

generating model data from the model extruding data;

receiving actual extruding data; and

comparing the model data with the actual extruding data;

wherein the model extruding data further comprise data relating to a cost associated with one of an energy cost associated with the extruding process and a labor cost associated with the extruding process.

39. The method of claim 38, wherein actual extruding data comprises data relating to at least one of tons associated with the extruding process, run length associated with the extruding process, and hours associated with the extruding process.

40. A method of managing a facility having at least one process, the at least one process having a plurality of steps, the method comprising:

receiving model data relating to the plurality of steps of the at least one process;

receiving actual data relating to the plurality of steps of the at least one process; and

comparing the model data to the actual data.

41. The method of claim 40 wherein the at least one process is at least one of interplant transfer, bag receiving, bulk receiving, mixing, packing, wet packing, bulk warehouse, bag warehouse, pelleting, grinding, second mixing, rolling, flaking, grain processing, block pressing, and extruding.

42. The method of claim 40 wherein comparing the model data to the actual data comprises at least one of providing a difference between the model data and the actual data, calculating and efficiency of the actual data compared to the model data.

43. The method of claim 42 wherein the plurality of steps of the at least one process comprise steps associated with at least one of interplant transfer, bag receiving, bulk receiving, mixing, packing, wet packing, bulk warehouse, bag warehouse, pelleting, grinding, second mixing, rolling, flaking, grain processing, block pressing, and extruding.

44. A method of providing consulting services, comprising:

receiving, by a consulting servicer, operational data from a production plant;

generating model data for the production plant;

generating comparison data from the operational data and the model data, by the consulting servicer;

generating, by the consulting servicer, a report analyzing the operational data, the model data and the comparison data.

45. A method of providing management reports for a production plant, comprising:

receiving operational data at least partially automatically from machines in the production plant, by a data processing device;

generating model data for the production plant using a production plant modeling program running on the data processing device; and

generating a report based on the operational data and the model data.