CN105425736A - Method for measuring machine group productivity and production cycle time - Google Patents
Method for measuring machine group productivity and production cycle time Download PDFInfo
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- CN105425736A CN105425736A CN201410481703.0A CN201410481703A CN105425736A CN 105425736 A CN105425736 A CN 105425736A CN 201410481703 A CN201410481703 A CN 201410481703A CN 105425736 A CN105425736 A CN 105425736A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
A method for measuring machine group productivity and production cycle time comprises defining a plurality of key performance indicators related with the machine group productivity and the production cycle time, collecting a plurality of variation parameters according to the key performance indicators, sequentially changing the variation parameters, and obtaining influence values of the key performance indicators respectively on the machine group productivity and the production cycle time.
Description
Technical field
The present invention relates to a kind of method weighing board all living creatures force of labor and time production cycle, especially relate to a kind of according to Mutation parameter measurement board all living creatures's force of labor and the method for time production cycle.
Background technology
In manufacture field, as factory board group management aspect, can learn that the Mutation parameter relevant with board group situation has appreciable impact to board all living creatures force of labor and production cycle from queuing theory (QueuingTheory).
In fact, above-mentioned Mutation parameter has following polytype impact to board all living creatures force of labor and production cycle.The different meeting of arrival quantitative change per hour of board group is subject to the natural variation (such as: the degree of stability, supply of material degree of stability etc. of upstream board) of board system and artificially sends goods to make a variation the distribution of the impact of this two large factor, product mix (ProductMix) complexity, board utilization rate (Loading) and human resources parameter.
But, KPI Key Performance Indicator (KeyPerformanceIndex common at present, KPI) cannot effectively compartment system variation be come from natural variation or with aritifical variant's parameter, simultaneously also cannot Mutation parameter under accurate Calculation board practical operation situation, and actual human resources parametric distribution, also not just can obtain it to board all living creatures force of labor and the precise effects value of production cycle via simple calculating.
Summary of the invention
In view of this, the invention provides a kind of method weighing board all living creatures force of labor and time production cycle, it contributes to through the monitoring to systematic variation, these variation comprise personnel, material and board three kinds towards, accurate measurement management gimmick shows the impact caused on system performance, reach the object of getting twice the result with half the effort.
The invention provides a kind of method utilizing KPI Key Performance Indicator to weigh the yield-power of board group, comprise the following steps: define the multiple KPI Key Performance Indicators with board all living creatures force of labor and production cycle time correlation; According to described multiple KPI Key Performance Indicator, collect multiple Mutation parameter; And sequentially change described multiple Mutation parameter, obtain described multiple KPI Key Performance Indicator respectively to this board all living creatures's force of labor and the influence value of time production cycle.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein, described multiple Mutation parameter comprises board group arrival amount per hour Mutation parameter, product mix complexity Mutation parameter, board utilization rate Mutation parameter and human resources Mutation parameter.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein, described board group arrival amount per hour Mutation parameter comprises board system variation parameters and artificially sends goods parameter.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein said product mix complexity Mutation parameter comprises the product category number scale parameter and the process parameter of board group for processing that drop in source.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein said board utilization rate Mutation parameter comprises the every daily utilization rate Mutation parameter of each board in board group every daily utilization rate Mutation parameter and board group.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein said human resources Mutation parameter comprises personnel and contributes board output parameter.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein said multiple Mutation parameter also comprises the variation of board arrival rate, flow to each dirty board at goods sum and per hourly flow to the variation of each downstream board at goods.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein said multiple KPI Key Performance Indicator comprises output capacity per hour variation by sending goods influence degree and output capacity per hour to make a variation.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein, described multiple Mutation parameter comprises all indivedual board actual finished process parameter (recipe) quantity every day in board group reality finished process parameter (recipe) quantity every day and board group.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein, described multiple Mutation parameter also comprises the utilization rate difference of all indivedual boards in the board group average service rate difference of every two days and board group.
In one embodiment of this invention, above-mentioned measurement board all living creatures's force of labor and the method for time production cycle, wherein, described multiple Mutation parameter also comprises every bit manipulation personnel working load variation in a board group in every two days.
The present invention is through the monitoring to systematic variation, weigh management gimmick and system performance is showed to the impact caused, and the KPI Key Performance Indicator of innovation is proposed, effectively distinguish board all living creatures's force of labor and time production cycle by personnel, material and board which kind of towards Mutation parameter affect.
For above and other object of the present invention, feature and advantage can be become apparent, preferred embodiment cited below particularly, and coordinate institute's accompanying drawings, be described in detail below.
Accompanying drawing explanation
Fig. 1 is a kind of method flow diagram weighing board all living creatures force of labor and time production cycle of one embodiment of the invention;
Fig. 2 is that the board all living creatures of one embodiment of the invention produces path relation and flows to schematic diagram at goods sum.
Embodiment
Fig. 1 is a kind of method flow diagram weighing board all living creatures force of labor and time production cycle of one embodiment of the invention.Please refer to Fig. 1, a kind of method weighing board all living creatures force of labor and time production cycle of one embodiment of the invention comprises the following steps:
Step 101: define the multiple KPI Key Performance Indicators with board all living creatures force of labor and production cycle time correlation;
First multiple KPI Key Performance Indicator is gone out according to every factor definition of board all living creatures force of labor and time production cycle may be affected.The KPI Key Performance Indicator that the present embodiment defines comprise board, material and personnel's parameter etc. three greatly towards.The monitoring of the monitoring that these KPI Key Performance Indicators can be divided into material to make a variation, the variation of board utilization rate, the monitoring of personnel's variation.
Step 102: according to multiple KPI Key Performance Indicator, collects multiple Mutation parameter;
Learn from queuing theory (QueuingTheory), the KPI Key Performance Indicator of monitoring about material variation affects by following several system variation parameters: board group faced by output capacity per hour to make a variation (COVofdeparturerate, Cd) parameter and per hourly reach quantitative change different (COVofarrivalrate, Ca), on time production cycle and board all living creatures force of labor, there is appreciable impact.The different meeting of arrival quantitative change per hour is subject to board system variation parameters (such as: the parameter such as degree of stability, supply of material degree of stability of upstream board) and artificially sends this two large factor of goods parameter to affect.Product mix (productmix) complexity Mutation parameter also has obvious correlativity to the degree of difficulty of board processing, also has appreciable impact to board all living creatures force of labor and time production cycle.The KPI Key Performance Indicator known only is weighed with the product category number of system source input and quantitative proportion for product mix complexity, namely only board system variation parameters is considered, the product mix complexity Mutation parameter of the present embodiment comprises the process parameter of product category number scale parameter and the board group wish process dropped in source, can calculate further and artificially send goods parameter whether to have simplification effect to process parameter complexity.In addition, above-mentioned Mutation parameter also comprises all indivedual board actual finished process parameter quantity every day in the board group finished process parameter quantity of reality every day and board group.
KPI Key Performance Indicator about the variation of board utilization rate affects by following several system variation parameters: board utilization rate Mutation parameter is the key factor affecting board all living creatures force of labor and time production cycle, and board utilization rate Mutation parameter comprises the every daily utilization rate Mutation parameter of each board in board group every daily utilization rate Mutation parameter and board group.The KPI Key Performance Indicator of the present embodiment is weighed for the every daily utilization rate Mutation parameter of each board in above-mentioned board group every daily utilization rate Mutation parameter and board group, and whether the former can be used to assess factory appropriate to the planned time-histories arranged when machine of board group; Latter can weigh the impact of sending goods method to cause board utilization rate Mutation parameter.In addition, above-mentioned Mutation parameter also comprises the utilization rate difference of all indivedual boards in the board group average service rate difference of every two days and board group.
Human resources are another the important resources of production in factory except board group, and the Mutation parameter about the KPI Key Performance Indicator affecting human resources Mutation parameter comprises: personnel contribute board output parameter.The difficulty of accurate Calculation board group human resources Mutation parameter is: in fact human resource distribution is all that group is transported to a group board, and each board utilization rate Mutation parameter is also different, the human resources Mutation parameter of each personnel is also inconsistent, contributes board output parameter to weigh KPI Key Performance Indicator effectively can calculate human resources to board all living creatures force of labor and the impact of time production cycle according to personnel.In addition, above-mentioned Mutation parameter also comprises every bit manipulation personnel working load variation in a board group in every two days.
Step 103: sequentially change multiple Mutation parameter, obtains multiple KPI Key Performance Indicator respectively to board all living creatures force of labor and the influence value of time production cycle.
The computing method of KPI Key Performance Indicator first collect the Mutation parameter of board, material and personnel, according to monitoring KPI Key Performance Indicator, the monitoring KPI Key Performance Indicator of board utilization rate variation, the monitoring KPI Key Performance Indicator of personnel's variation of the above-mentioned material variation listed, sequentially change the plurality of Mutation parameter, utilize formulae discovery to obtain the plurality of KPI Key Performance Indicator respectively to this board all living creatures's force of labor and the influence value of time production cycle.
Board group faced by output capacity per hour variation (COVofdeparturerate, Cd) and arrival quantitative change per hour different (COVofarrivalrate, Ca) comprise the variation of board arrival rate, flow to each dirty board at goods sum and per hourly flow to the variation of each downstream board at goods.
The present embodiment proposes three and to make a variation relevant KPI Key Performance Indicator to board group arrival per hour amount Mutation parameter and output capacity per hour: output capacity per hour makes a variation by send goods influence degree (ImpactpercentageonCOVofdepartureratebydispatching), arrival rate in essence makes a variation (IntrinsicCOVofarrivalrate) and arrival rate makes a variation is subject to send goods influence degree (ImpactpercentageonCOVofarrivalratebydispatching).
Weigh output capacity per hour variation by sending this KPI Key Performance Indicator of goods influence degree, first must collect the arrival rate per hour variation of target board group, flow to each downstream board at goods sum (move, mv) and the Mutation parameter flowing to each downstream board output quantity per hour.Fig. 2 is that the board all living creatures of one embodiment of the invention produces path relation and flows to schematic diagram at goods sum.Refer to Fig. 2, MG_A, MG_B, MG_C, MG_D and MG_E be board group respectively, and MG_A and MG_B is upstream board group, MG_C, MG_D and MG_E are downstream board group, arrow represents the relation between board group, and CdA represents the output capacity variation per hour of MG_A, and numerical value is 0.2; CdB represents the output capacity variation per hour of MG_B, and numerical value is 0.1; CdAC represents that MG_A flows to the output capacity variation per hour of MG_C, and numerical value is 0.5; CdAD represents that MG_A flows to the output capacity variation per hour of MG_D, and numerical value is 0.4; CdBD represents that MG_B flows to the output capacity variation per hour of MG_D, and numerical value is 0.2; CdBE represents that MG_B flows to the output capacity variation per hour of MG_E, and numerical value is 0.3.And mvAC represents that MG_A flows to the total at goods of MG_C, numerical value is 200; MvAD represents that MG_A flows to the total at goods of MG_D, and numerical value is 100; MvBD represents that MG_B flows to the total at goods of MG_D, and numerical value is 300; MvBE represents that MG_B flows to the total at goods of MG_E, and numerical value is 400.Above numerical value is only exemplary reference, and the present invention is not subject to the limits.
With upstream board group MG_A and MG_B for target, the management meaning of this KPI Key Performance Indicator is: due to by the impact of artificially sending goods, and the yield-power of computer platform group MG_A and MG_B makes a variation complicated degree.
Weigh arrival rate in essence to make a variation this KPI Key Performance Indicator, output capacity due to upstream board group is the arrival rate of downstream board group, with reference to figure 2, with downstream board group MG_C, MG_D and MG_E for target, the management meaning of this KPI Key Performance Indicator is: deduction artificially sends the impact of goods, only consider board systematic variation, the arrival rate Mutation parameter in essence of computer platform group MG_C, MG_D and MG_E why.
Weigh arrival rate variation by sending this KPI Key Performance Indicator of goods influence degree, with reference to figure 2, with downstream board group MG_C, MG_D and MG_E for target, the management meaning of this KPI Key Performance Indicator is: due to by the impact of artificially sending goods, and the arrival rate of computer platform group MG_C, MG_D and MG_E makes a variation complicated degree.
Board group product mix complexity Mutation parameter comprises the product category number scale parameter and the process parameter of board group for processing that drop in source.The present embodiment proposes two KPI Key Performance Indicators relevant to board group product mix complexity Mutation parameter: the process parameter amount (Numberofrecipesformachinegroup) that board group processes and through artificially send goods simplify the ratio (SimplifiedpercentageofrecipesformachineID) of process parameter complexity.
Weigh this KPI Key Performance Indicator of process parameter amount of board group process, first must collect all indivedual board actual finished process parameter quantity every day in the board group finished process parameter quantity of reality every day and board group.Refer to lower list 1, every day, board group MG_A processed four kinds of process parameter, and each process parameter processing is total and sort as shown in table 1:
| Output quantity | Output quantity ratio | Sequence | |
| Process parameter A | 200 | 40％ | 1 |
| Process parameter B | 150 | 30％ | 2 |
| Process parameter C | 50 | 10％ | 4 |
| Process parameter D | 100 | 20％ | 3 |
Table 1
The management meaning of this KPI Key Performance Indicator is: calculate the complexity that each board group can process process parameter.
Weigh through artificially send goods simplify this KPI Key Performance Indicator of ratio of process parameter complexity, refer to lower list 2, table 2 is the MSDS that board group MG_A processes goods in detail.The process parameter amount of board group MG_A process is 3, board group MG_A has 3 boards (machineID) altogether, it sends goods principle each process parameter can be evenly distributed to each board, also goods can be sent to specific board, make it process corresponding process parameter (meaning and special board).These two kinds different goods rules of sending will bring very large difference to production performance.Therefore, the KPI Key Performance Indicator of the process parameter amount of this measurement board group process is used to weigh and sends goods rule on the impact of board group process parameter complexity.The data of each board process process parameter in necessary labor board group.
Table 2
The management meaning of this KPI Key Performance Indicator is: through analyzing the mode of artificially sending goods, weigh the impact of the complexity on board process process parameter each in board group.
This board utilization rate Mutation parameter comprises every daily utilization rate Mutation parameter of each board in board group every daily utilization rate Mutation parameter and board group.The present embodiment proposes two KPI Key Performance Indicators relevant to every daily utilization rate Mutation parameter of each board in board group every daily utilization rate Mutation parameter and board group: every day board group fill rate make a variation (COVofdaytodaymachinegrouploading), the utilization rate of each board makes a variation (COVofmachineIDloading) in board group.
Weigh every day board group fill rate to make a variation this KPI Key Performance Indicator, can learn according to following computing formula:
Board group fill rate variation=board group fill rate standard deviation/board group mean utilization rate, wherein board group fill rate standard deviation=calculate its standard deviation with board group fill rate every day past 7 day; The mean value of board group mean utilization rate=board group utilization rate 7 day every day of past.
Every day, board group fill rate variation=board group arrived total amount/(board number × average available rate) at goods in one day
The utilization rate weighing each board in board group makes a variation this KPI Key Performance Indicator, can learn according to following computing formula:
The average service rate of utilization rate variation=each board utilization rate standard deviation/each board of each board in board group, the wherein standard deviation of all board utilization rates in each board utilization rate standard deviation=board group; All board average service rates in the average service rate=board group of each board.
The average service rate of output quantity/each board of each board utilization rate=each board.
This human resources Mutation parameter comprises personnel and contributes board output parameter.The present embodiment proposes one and contributes the KPI Key Performance Indicator of board output parameter with personnel: operating personnel's quantity.This KPI Key Performance Indicator of weighing operations personnel amount, refers to lower list 3.Table 3 is the output quantity tabulation of date of a certain board group of practical operation of operating personnel.If a certain board group has 4 bit manipulation personnel and is responsible for, the output of production (move) of every bit manipulation personnel actual contribution in a day, ratio and sequence.The management meaning of this KPI Key Performance Indicator is: why calculate human resources parameter that board group essence is assigned to.
| Operating personnel | Output quantity | Output quantity ratio | Sequence |
| A | 200 | 0.4 | 1 |
| B | 150 | 0.3 | 2 |
| C | 50 | 0.1 | 4 |
| D | 100 | 0.2 | 3 |
Table 3
The present invention is mainly through the monitoring to systematic variation, weighs management gimmick and system performance is showed to the impact caused.This will contribute to working out in yield-power lifting activity improving policy, limited resource will be placed on and effectively improve on direction, reach the object of getting twice the result with half the effort.
Although the present invention discloses as above with preferred embodiment; so itself and be not used to limit the present invention; anyly have the knack of this those skilled in the art; without departing from the spirit and scope of the present invention; when doing a little change and retouching, therefore protection scope of the present invention is as the criterion with the scope person of defining of claim of the present invention.
Claims (11)
1. weigh the method for board all living creatures force of labor and time production cycle, it is characterized in that, comprising:
Define the multiple KPI Key Performance Indicators with board all living creatures force of labor and production cycle time correlation;
According to described multiple KPI Key Performance Indicator, collect multiple Mutation parameter; And
Sequentially change described multiple Mutation parameter, obtain described multiple KPI Key Performance Indicator respectively to described board all living creatures force of labor and the influence value of time production cycle.
2. measurement board all living creatures's force of labor as claimed in claim 1 and the method for time production cycle, it is characterized in that, wherein, described multiple Mutation parameter comprises board group arrival amount per hour Mutation parameter, product mix complexity Mutation parameter, board utilization rate Mutation parameter and human resources Mutation parameter.
3. measurement board all living creatures's force of labor as claimed in claim 2 and the method for time production cycle, it is characterized in that, wherein, described board group arrival amount per hour Mutation parameter comprises board system variation parameters and artificially sends goods parameter.
4. measurement board all living creatures's force of labor as claimed in claim 3 and the method for time production cycle, it is characterized in that, wherein, described multiple Mutation parameter also comprise the variation of board arrival rate, flow to each dirty board at goods sum and per hourly flow to the variation of each downstream board at goods.
5. measurement board all living creatures's force of labor as claimed in claim 4 and the method for time production cycle, is characterized in that, wherein, described multiple KPI Key Performance Indicator comprises output capacity per hour variation by sending goods influence degree and output capacity per hour to make a variation.
6. measurement board all living creatures's force of labor as claimed in claim 2 and the method for time production cycle, is characterized in that, wherein, described product mix complexity Mutation parameter comprises the product category number scale parameter and the process parameter of board group for processing that drop in source.
7. the measurement board all living creatures's force of labor as described in claim 6 and the method for time production cycle, it is characterized in that, wherein, described multiple Mutation parameter also comprises all indivedual board actual finished process parameter quantity every day in the board group finished process parameter quantity of reality every day and board group.
8. measurement board all living creatures's force of labor as claimed in claim 2 and the method for time production cycle, it is characterized in that, wherein, described board utilization rate Mutation parameter comprises every daily utilization rate Mutation parameter of each board in board group every daily utilization rate Mutation parameter and board group.
9. the measurement board all living creatures's force of labor as described in claim 8 and the method for time production cycle, it is characterized in that, wherein, described multiple Mutation parameter also comprises the utilization rate difference of all indivedual boards in the board group average service rate difference of every two days and board group.
10. measurement board all living creatures's force of labor as claimed in claim 2 and the method for time production cycle, it is characterized in that, wherein, described human resources Mutation parameter comprises personnel and contributes board output parameter.
11. weigh board all living creatures's force of labor and the method for time production cycle as claimed in claim 10, it is characterized in that, wherein, described multiple Mutation parameter also comprises every bit manipulation personnel working load variation in a board group in every two days.
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