Modular system for real-time evaluation and monitoring of a machining production-line overall performances calculated from each given workpiece, tool and machine
First Claim
1. A modular industrial-control based system [100] for real-time evaluation and monitoring of overall performances of a machining production-line, calculated from performances of at least one machined metal workpiece [110], at least one consumable tool [120] and at least one machine [130];
- said system [100]comprising;
a. identification devices [140] of said machines, configured for performing one or more automated identifications and transmissions of first signals denoting said identifications of at least one selected item from a group consisting of;
said workpieces [110];
said workpieces'"'"' [110] at least one consumable tool [120];
said workpieces'"'"' [110] machine [130];
said workpieces'"'"' [110] production operations number; and
any combination thereof;
b. recording devices [150] of said machines, configured to record at least one data input and transmit second signals denoting said data inputs, concerning said machining production-line, selected from a group consisting of;
machining course of action time-indicators, velocities and working parameters of said workpieces [110];
idle time, such as loading or unloading of said workpieces [110];
exceptionally long waiting idle time;
said machine'"'"'s [130] fault time;
said consumable tools'"'"' [120] wear time and wear amount; and
any combination thereof;
c. a data-collection device [160], configured to collect at least one input data selected from a group consisting of;
said identifications by said identification device [140];
said data input recorded by said recording device [150];
said workpieces'"'"' [110] machining course of action;
said workpieces'"'"' [110] loading idle time;
said shaped workpieces'"'"' [110] resulted quality;
said machines'"'"' [130] fault cause;
exceptionally long waiting idle time cause;
said consumable tools'"'"' [120] wear characteristic features;
setup periods;
operator ID;
production batch number; and
any combination thereof;
d. a Computerized Processing Unit (CPU) [170], configured to receive said input data from said data-collection device [160] and calculate and evaluate, as a function of said input data, at least one performance selected from a group consisting of;
performances of said workpieces [110];
performances of said consumable tools [120];
performances of said machines [130]; and
any combination thereof;
e. a storage device [180], configured to receive from said CPU [170] and store at least one data entry selected from a group consisting of;
all data which is not process-dependent [185];
all process-dependent data [186] including;
said input data and all said calculated and evaluated information;
updated said workpieces'"'"' [110] performances;
updated said tools'"'"' [120] performances;
updated said machines'"'"' [130] performances; and
any combination thereof;
f. a user interface [190], configured for selecting a method of said calculation and selecting elements and combinations to display said calculated and evaluated performances; and
g. a display device [195], configured to display said calculated and evaluated performances;
wherein said CPU [170] is further configured for an iterative and incremental calculation and evaluation of said machining production-line overall performances, by incrementally evaluating said individual workpieces'"'"' [110] performances, said consumable tools'"'"' [120] performances and said machines'"'"' [130] performances, extracted from said input data of a plurality of said workpieces [110] and plurality of said machines [130];
said system [100] is further configured to display said overall performances on said display device;
said machining production-line overall performances comprise one or more key performance indicators (KPIs);
said KPIs selected from a group consisting ofi. a gross profit;
ii. an overall equipment efficiency (OEE);
iii. direct operations costs; and
iv. an engineering score defined by
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Abstract
The present invention provides a modular system and method for real-time evaluation and monitoring of a machining production line overall performances, calculated from each given metal workpiece, consumable tool and machine. The present invention is configured for an iterative and incremental calculation and evaluation of the machining production-line overall performances, by incrementally evaluating individual workpiece'"'"'s performances, consumable tools'"'"'performances and machine'"'"'s performances, extracted from the data of a plurality of workpieces and machines. The present invention is further configured for comparing the workpiece'"'"'s performances to a similar workpiece'"'"'s best performance, extracted from the evaluation of a plurality of the data similar workpieces. The present invention is further configured for the identification of significant process faults and their cause. The present invention is further configured for the analysis of the applied engineering-plan effectiveness, using a defined engineering score.
8 Citations
22 Claims
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1. A modular industrial-control based system [100] for real-time evaluation and monitoring of overall performances of a machining production-line, calculated from performances of at least one machined metal workpiece [110], at least one consumable tool [120] and at least one machine [130];
- said system [100]comprising;
a. identification devices [140] of said machines, configured for performing one or more automated identifications and transmissions of first signals denoting said identifications of at least one selected item from a group consisting of; said workpieces [110]; said workpieces'"'"' [110] at least one consumable tool [120]; said workpieces'"'"' [110] machine [130]; said workpieces'"'"' [110] production operations number; and any combination thereof; b. recording devices [150] of said machines, configured to record at least one data input and transmit second signals denoting said data inputs, concerning said machining production-line, selected from a group consisting of; machining course of action time-indicators, velocities and working parameters of said workpieces [110]; idle time, such as loading or unloading of said workpieces [110]; exceptionally long waiting idle time; said machine'"'"'s [130] fault time; said consumable tools'"'"' [120] wear time and wear amount; and any combination thereof; c. a data-collection device [160], configured to collect at least one input data selected from a group consisting of; said identifications by said identification device [140]; said data input recorded by said recording device [150]; said workpieces'"'"' [110] machining course of action; said workpieces'"'"' [110] loading idle time; said shaped workpieces'"'"' [110] resulted quality; said machines'"'"' [130] fault cause; exceptionally long waiting idle time cause; said consumable tools'"'"' [120] wear characteristic features; setup periods; operator ID; production batch number; and any combination thereof; d. a Computerized Processing Unit (CPU) [170], configured to receive said input data from said data-collection device [160] and calculate and evaluate, as a function of said input data, at least one performance selected from a group consisting of; performances of said workpieces [110]; performances of said consumable tools [120]; performances of said machines [130]; and any combination thereof; e. a storage device [180], configured to receive from said CPU [170] and store at least one data entry selected from a group consisting of; all data which is not process-dependent [185]; all process-dependent data [186] including;
said input data and all said calculated and evaluated information;updated said workpieces'"'"' [110] performances; updated said tools'"'"' [120] performances; updated said machines'"'"' [130] performances; and any combination thereof; f. a user interface [190], configured for selecting a method of said calculation and selecting elements and combinations to display said calculated and evaluated performances; and g. a display device [195], configured to display said calculated and evaluated performances; wherein said CPU [170] is further configured for an iterative and incremental calculation and evaluation of said machining production-line overall performances, by incrementally evaluating said individual workpieces'"'"' [110] performances, said consumable tools'"'"' [120] performances and said machines'"'"' [130] performances, extracted from said input data of a plurality of said workpieces [110] and plurality of said machines [130];
said system [100] is further configured to display said overall performances on said display device;said machining production-line overall performances comprise one or more key performance indicators (KPIs);
said KPIs selected from a group consisting ofi. a gross profit; ii. an overall equipment efficiency (OEE); iii. direct operations costs; and iv. an engineering score defined by - View Dependent Claims (2, 3, 4, 5, 6, 7)
- said system [100]comprising;
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8. A industrial-control based method for monitoring and evaluating overall performances of a machining production-line, calculated from each given machined metal workpiece [110], consumable tool [120] and machine [130], comprising the steps:
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a. automatically identifying the characteristic features of; said workpieces [110]; said workpieces'"'"' [110] at least one consumable tool [120]; said workpieces'"'"' [110] machine [130]; said workpieces'"'"' [110] production operations number; and any combination thereof; b. recording data concerning said machining production line, selected from a group consisting of; machining course of action time indicators and velocities of said workpieces [110]; idle time, such as loading or unloading of said workpiece [110]; exceptionally long idle time; said machines'"'"' [130] “
fault”
time;said consumable tools'"'"' [120] wear time and tool'"'"'s wear amount; and any combination thereof; c. collecting input-data selected from a group consisting of; said workpieces'"'"' [110] machining course of action; said shaped workpiece'"'"'s [110] resulted quality; said machines'"'"' [130] “
fault”
cause;said exceptional idle time cause; said consumable tools'"'"' [120] wear characteristic features; said setup time; said operator ID; said production batch number; and any combination thereof; d. calculating and evaluating the performances of; said workpieces [110]; said consumable tools [120]; said machines [130]; e. storing; all data which is not process-dependent; all process-dependent data including;
said input data, and all said calculated and evaluated information;f. selecting a calculation and evaluation method; g. updating said consumable tools'"'"' [120] performances and said machines'"'"' [130] performances; h. selecting displayed elements and combinations; i. displaying said evaluated performances; and j. repeating said method for at least two workpieces [110]; wherein said step of calculating and evaluating comprises an iterative and incremental calculation and evaluation of said machining production-line overall performances, by incrementally evaluating said individual workpieces'"'"' [110] performances, said consumable tools'"'"' [120] performances and said machines'"'"' [130] performances, extracted from said input data of a plurality of said workpieces [110] and plurality of said machines [130]; said machining production-line overall performances comprise one or more key performance indicators (KPIs);
said KPIs selected from a group consisting ofi. a gross profit; ii. an overall equipment efficiency (OEE); iii. direct operations costs; and iv. an engineering score defined by - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A modular industrial-control based system [200] for real-time evaluation and monitoring of overall performances of a production-line, calculated from the performances of at least one part [210], at least one consumable material [220] and at least one machine[230];
- said system [200] comprising;
a. an identification device [240], configured for performing one or more automated identifications and transmissions of first signals denoting said identifications of at least one item selected from a group consisting of; said parts [210]; said parts'"'"' [210] consumable materials [220]; said parts'"'"' [210] machine [230]; said parts'"'"' [210] production operations number; and any combination thereof; b. a recording device [250], configured to record at least one recorded data, concerning said production-line, selected from a group consisting of; processing course of action time-indicators, velocities and process parameters of said parts [210]; idle time, such as loading or unloading of said parts [210]; exceptionally long waiting idle time; and said machines'"'"' [230] fault time; said consumable materials'"'"' [220] wear time and wear characteristics; and any combination thereof; c. a data-collection device [260], configured to collect at least one input data selected from a group consisting of; said identifications by said identification device [240]; said recorded data recorded by said recording device [250]; said parts'"'"' [210] processing course of action; said parts'"'"' [210] loading idle time; said produced parts'"'"' [210] resulted quality; said machines'"'"' [230] fault cause; exceptionally long waiting idle time cause; said consumable materials'"'"' [220] wear characteristic features; setup periods; operator ID; production batch number; and any combination thereof; d. a Computerized Processing Unit (CPU) [270], configured to receive said input data from said data-collection device [260] and calculate and evaluate, as a function of said input data, at least one performance selected from a group consisting of; said parts'"'"' [210] performances; said consumable materials'"'"' [220] performances; said machines'"'"' [230] performances; and any combination thereof; e. a storage device [280], configured to receive from said CPU [270] store at least one entry selected from a group consisting of; all data which is not process-dependent [285]; all process-dependent data [286] including;
said input data, and all said calculated and evaluated performances;updated said parts'"'"' [210] performances; updated said consumable materials'"'"' [220] performances; updated said machines'"'"' [230] performances; and any combination thereof; f. a user interface [290], configured for selecting a method of said calculation and and selecting elements and combinations to display said calculated and evaluated performances; and g. a display device [295], configured to display said calculated and evaluated performances; wherein said CPU [270] is further configured for an iterative and incremental calculation and evaluation of said production-line overall performances, by incrementally evaluating said individual parts'"'"' [210] performances, said consumable materials'"'"' [220] performances and said machines'"'"' [230] performances, extracted from said input data of a plurality of said parts [210] and plurality of said machines [230];
said system [100] is further configured to display said overall performances on said display device;said machining production-line overall performances comprise one or more key performance indicators (KPIs);
said KPIs selected from a group consisting ofi. a gross profit; ii. an overall equipment efficiency (OEE); iii. direct operations costs; and iv. an engineering score defined by - View Dependent Claims (22)
- said system [200] comprising;
Specification