CN102567756A - Method for acquiring quality information of discrete workshop on line based on radio frequency identification (RFID) technology - Google Patents

Abstract

The invention discloses a method for acquiring the quality information of a discrete workshop on line based on a radio frequency identification (RFID) technology. The method comprises the following steps of: (1) assigning operation tasks, and binding the operation tasks, materials and RFID tags; (2) initializing a quality state matrix; (3) by using a mobile RFID reader-writer, acquiring quality data particles at the tn-th moment; (4) according to the quality data particles at the tn-th moment, computing each quality index value; (5) according to the quality index values, updating corresponding elements in the quality state matrix; (6) according to elements of each block matrix in the quality state matrix, acquiring the quality information at the tn-th moment; and (7) executing the step (3), and starting acquiring the quality information at the t(n+1)-th moment. By adoption of the method, the quality information of the discrete workshop can be acquired on line, so the quality states of the materials during execution of the operation tasks in the discrete workshop are monitored in real time, wherein the quality states comprise quality conformance condition, quality throughput condition, quality stability condition and quality influence condition.

Description

A kind of online acquisition methods of discrete workshop quality information based on REID

Technical field

The present invention relates to the discrete online acquisition methods of workshop quality information, especially a kind of based on RF identification (Radio Frequency IDentification, RFID) the online acquisition methods of discrete workshop quality information of technology.

Background technology

In time, obtaining quality information effectively is to realize discrete workshop quality control and improved important foundation and key point.At present, the main means of obtaining quality information have: papery card, bar code, sensor and RFID technology, and the major advantage and the shortcoming of various means are summarized as follows respectively:

1) advantage of papery card be with low cost, implement simple; The Quality Inspector only need with quality inspection as a result hand filling on the papery card; And the papery card be delivered to next process get final product, but the papery card is a kind of non real-time acquisition mode (all process steps just can report after all accomplishing), and exist lose easily, by problem such as stained; Owing to accomplish by the manual work mode of filling in, so easy error, accuracy are low;

2) advantage of bar code is high input speed, reliability high (bit error rate is low); But the data capacity of bar code is limited, adaptive capacity to environment is poor; The same with the papery card, the same existence by stained and problem influence identification, in addition; Bar code is not recyclable, so its prolonged application cost is very considerable;

3) sensor mainly is deployed on the checkout equipment; Its advantage is that (in a single day mass property changes real-time degree height; Sensor can be gathered), the data accuracy is high; But the cost of sensor higher (checkout equipment often costs an arm and a leg, the common unable purchase of vast medium and small discrete manufacturing enterprise), adaptive faculty poor (general certain Critical to quality of main detection of checkout equipment obtains wherein certain crucial qualitative data, then can't obtain other qualitative data);

4) advantage of RFID is various (but the both acquisition quality check raw data of the data mode disposing flexibly, gather; But also acquisition quality assay data), can accurately discern each crucial influencing factors of quality (for example personnel, equipment, supplier etc.), data capacity is big; And the RFID label can write data as required; Be convenient to realize quality tracing afterwards; The shortcoming of RFID be the label cost higher (if but label is reclaimed; Then its standing cost is lower than bar code), the RFID qualitative data kind of gathering is many in addition, attribute is many (generally not only comprised metering type data, but also comprise the attribute data), so follow-uply must effectively analyze and handle data.

Comprehensively comparatively speaking; The RFID technology has combined the advantage of papery card, bar code and sensor; It is a kind of discrete preferably workshop qualitative data acquisition means; Along with the continuous maturation of RFID technology, the continuous reduction of RFID application cost, RFID will play an increasingly important role in discrete workshop quality information obtains.

Summary of the invention

For in time, gather all kinds of qualitative datas that produce when job task is carried out in the discrete workshop effectively; And convert qualitative data into the upper layer application system (like quality information system (Quality Information System; QIS)) quality information that can directly handle, the Quality People can directly understand; The object of the present invention is to provide a kind of online acquisition methods of quality information towards discrete workshop based on the RFID technology; Through the qualitative data of gathering is effectively analyzed and handled, thereby extract the quality information that wherein contains.

The technical solution adopted for the present invention to solve the technical problems is:

A kind of online acquisition methods of discrete workshop quality information based on REID, the step of this method is following:

(1) assign job task, bind " job task-material-RFID tag ":

Bind " job task-material-RFID tag " through following relational expression:

${\mathrm{ID}}_T\stackrel{1:n}{\↔}{M}_k\stackrel{1:1}{\↔}{o}_x---\left(1\right)$

Wherein:

1) ID _TExpression job task numbering;

2) M _kExpression thing item number;

3) o _xThe sign of expression radio frequency identification marking;

4)

Between expression job task and the material is many-one relationship, and job task ID is described _TIn K material arranged;

5) be one-one relationship between

expression material and the RFID tag; So k=x=1; 2; ..., K explains and has pasted a RFID tag on each material;

(2) initializes quality state matrix:

If the quality state matrix is M _Q(t), then initialized quality state matrix representation is:

M _Q(t ₀)＝O _(6×J) (2)

Wherein: t ₀Be the initial time that job task is formally assigned, J is the operation number;

(3) utilize portable radio-frequency identification reader/writer to obtain t _nQualitative data grain constantly:

If t _nIn time, is engraved in the qualitative data grain that obtains on the j procedure and uses

Expression then has:

$D_Q^{\left(j\right)}\left(t_n\right)=\{\mathrm{id},\{{\mathrm{id}}_t,{\mathrm{id}}_p,{\mathrm{id}}_m\},\{c_h,c_e,c_s\},\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\{{\mathrm{id}}_k,\underset{l=1}{\overset{L}{\mathrm{\Σ}}}\{{\mathrm{id}}_l,v_s,v_t,u_m,v_r\},f\},\{n_g,n_r,n_s\},r,t_n\}---\left(3\right)$

Wherein:

1) id representes qualitative data grain numbering, when uploading qualitative data, generates through " job task numbering " and " qualitative data acquisition time " combination;

2) id _tExpression job task numbering is through reading the RFID tag collection that sticks on the material;

3) id _pExpression operation numbering is imported through the keypad that portable radio-frequency identification reader/writer carries;

4) id _mThe expression COM code is through reading the RFID tag collection that sticks on the material;

5) c _hExpression workman numbering is through reading the RFID tag collection that the workman wears;

6) c _eThe indication equipment numbering is through reading the RFID tag collection on the equipment of sticking on;

7) c _sThe expression vendor number is through reading the RFID tag collection that sticks on the starting material;

8) id _kExpression check material sequence number generates through portable radio-frequency identification reader/writer when the typing qualitative data automatically;

9) id _lExpression quality inspection bullets generates through portable radio-frequency identification reader/writer when the typing qualitative data automatically;

10) v _sExpression quality inspection project standard value is stored in the portable radio-frequency identification reader/writer in advance, when the typing qualitative data, generates automatically through portable radio-frequency identification reader/writer;

11) v _tExpression quality inspection project margin tolerance is stored in the portable radio-frequency identification reader/writer in advance, when the typing qualitative data, generates automatically through portable radio-frequency identification reader/writer;

12) u _mExpression quality inspection project measurement unit is stored in the portable radio-frequency identification reader/writer in advance, when the typing qualitative data, generates automatically through portable radio-frequency identification reader/writer;

13) v _rExpression quality inspection project measured value is imported through the keypad that portable radio-frequency identification reader/writer carries;

14) f representes whether qualified material is and indicates, according to the v of input _s, v _t, v _rValue generates automatically, and f=0 representes that the material of checking is qualified, and f=1 representes that the material of checking is defective;

15) n _gThe material quantity that expression is up to the standards is imported through the keypad that portable radio-frequency identification reader/writer carries;

16) n _rExpression is judged to the material quantity of doing over again, and imports through the keypad that portable radio-frequency identification reader/writer carries;

17) n _sExpression is judged to the material quantity of scrapping, and imports through the keypad that portable radio-frequency identification reader/writer carries;

18) r representes portable radio-frequency identification reader/writer numbering, is built in the portable radio-frequency identification reader/writer, when uploading qualitative data, is generated automatically by portable radio-frequency identification reader/writer;

19) t representes the qualitative data acquisition time, when uploading qualitative data, is generated automatically by portable radio-frequency identification reader/writer;

20) K representes the material total quantity checked;

21) L representes the Interventions Requested quantity of each material, because material is identical in the job task, so the Interventions Requested quantity of each material is identical;

(4) according to t _nQualitative data grain constantly calculates each quality index value:

1) calculated mass qualification rate

t _nThe up-to-standard rate of moment job task on the j procedure

Be expressed as:

$R_1^{\left(j\right)}\left(t_n\right)=\frac{D_Q^{\left(j\right)}\left(t_n\right)\·n_g}{D_Q^{\left(j\right)}\left(t_n\right)\·n_g+D_Q^{\left(j\right)}\left(t_n\right)\·n_r+D_Q^{\left(j\right)}\left(t_n\right)\·n_s}\×100\%---\left(4\right)$

Wherein:

1.

Expression t _nBe judged to qualified quantity after constantly the material on the j procedure being tested, the qualitative data grain is got in ". " expression In certain attribute, down with;

2.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

3.

Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

2) calculated mass first-pass yield

t _nThe quality first-pass yield of moment job task on the j procedure

Be expressed as:

$R_2^{\left(j\right)}\left(t_n\right)=\frac{D_Q^{\left(j\right)}\left(t_n\right)\·n_g}{D_Q^{\left(1\right)}\left(t^{\′}\right)\·n_g+D_Q^{\left(1\right)}\left(t^{\′}\right)\·n_r+D_Q^{\left(1\right)}\left(t^{\′}\right)\·n_s}\×100\%---\left(5\right)$

Wherein:

1.

Expression t _nBe judged to qualified quantity after constantly the material on the j procedure being tested;

2. be judged to qualified quantity after

expression is tested to the material on the 1st procedure, t ' is material is accomplished check on the 1st procedure the moment;

3. be judged to the quantity of doing over again after

expression is tested to the material on the 1st procedure, t ' is material is accomplished check on the 1st procedure the moment;

4. be judged to the quantity of scrapping after expression is tested to the material on the 1st procedure, t ' is material is accomplished check on the 1st procedure the moment;

3) calculated mass coefficient of stabilization

t _nThe quality rate of moment job task on the j procedure

Be expressed as:

$R_3^{\left(j\right)}\left(t_n\right)=\frac{\underset{l=1}{\overset{L}{\mathrm{\Σ}}}|D_Q^{\left(j\right)}\left(t_n\right)\·v_t^{\left(l\right)}|-\underset{l=1}{\overset{L}{\mathrm{\Σ}}}\left[\frac{1}{K}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\right|D_Q^{\left(j\right)}\left(t_n\right)\·v_r^{\left(\mathrm{lk}\right)}-D_Q^{\left(j\right)}\left(t_n\right)\·v_s^{\left(\mathrm{lk}\right)}\left|\right]}{\underset{l=1}{\overset{L}{\mathrm{\Σ}}}|D_Q^{\left(j\right)}\left(t_n\right)\·v_t^{\left(l\right)}|}\×100\%---\left(6\right)$

Wherein:

1.

Expression t _nConstantly the material on the j procedure is tested the tolerance value of l the Interventions Requested that the material that is up to the standards is corresponding;

2.

Expression t _nConstantly the material on the j procedure is tested the check measured value of k pairing l the Interventions Requested of material in the material that is up to the standards;

3.

Expression t _nConstantly the material on the j procedure is tested the test stone value of k pairing l the Interventions Requested of material in the material that is up to the standards;

4) calculated mass contributive rate

Suppose that this moment, the workman was H, and same job task is identical with the workman on the one procedure, then t _nThe workman quality influence rate of moment job task on the j procedure

Be expressed as:

$R_4^{\left(j\right)}\left(t_n\right)=$

$\frac{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r{|}_{c_h=H}+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s{|}_{c_h=H}+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}---\left(7\right)$

$\×100\%$

Wherein:

1.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

2.

Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

3. is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

4.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

5.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; The workman is under the condition of H; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

6.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; The workman is under the condition of H; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

7. W _rBe the weight of doing over again, unification here is set at 0.2, down together;

8. W _sFor scrapping weight, unification here is set at 0.8, down together;

If this moment, equipment was E, and same job task is identical with the equipment on the one procedure, then t _nThe equipment quality contributive rate of moment job task on the j procedure

Be expressed as:

$R_5^{\left(j\right)}\left(t_n\right)=$

$\frac{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r{|}_{c_s=E}+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s{|}_{c_s=E}+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}---\left(8\right)$

$\×100\%$

Wherein:

1.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

2.

Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

3. is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested, accumulative total in the expression historical time section total quantity of doing over again;

4.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

5.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; At equipment is under the condition of E; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

6.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; At equipment is under the condition of E; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

7. W _rBe the weight of doing over again;

8. W _sFor scrapping weight;

If this moment, the raw material supplier was S, and same job task is identical with the supplier on the one procedure, then t _nThe supplier quality influence rate of moment job task on the j procedure

Be expressed as:

$R_6^{\left(j\right)}\left(t_n\right)=$

$\frac{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r{|}_{c_s=S}+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s{|}_{c_s=S}+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}---\left(9\right)$

$\×100\%$

Wherein:

1.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

2.

Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

3.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

4.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

5.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; In supplier is under the condition of S; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

6.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; In supplier is under the condition of S; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

7. W _rBe the weight of doing over again;

8. W _sFor scrapping weight;

(5) upgrade the corresponding element in the quality state matrix according to the quality index value:

For t _nQuality state matrix constantly has:

$M_Q\left(t_n\right)=\begin{array}{}\end{array}\left[\begin{array}{ccccc}{M}_Q^{\left(11\right)}\left(t_n\right)& ...& M_Q^{\left(1j\right)}\left(t_n\right)& ...& M_Q^{\left(1J\right)}\left(t_n\right)\\ M_Q^{\left(21\right)}\left(t_n\right)& ...& M_Q^{\left(2j\right)}\left(t_n\right)& ...& M_Q^{\left(2J\right)}\left(t_n\right)\\ M_Q^{\left(31\right)}\left(t_n\right)& ...& M_Q^{\left(3j\right)}\left(t_n\right)& ...& M_Q^{\left(3J\right)}\left(t_n\right)\\ M_Q^{\left(41\right)}\left(t_n\right)& ...& M_Q^{\left(4j\right)}\left(t_n\right)& ...& M_Q^{\left(4J\right)}\left(t_n\right)\\ M_Q^{\left(51\right)}\left(t_n\right)& ...& M_Q^{\left(5j\right)}\left(t_n\right)& ...& M_Q^{\left(5J\right)}\left(t_n\right)\\ M_Q^{\left(61\right)}\left(t_n\right)& ...& M_Q^{\left(6j\right)}\left(t_n\right)& ...& M_Q^{\left(6J\right)}\left(t_n\right)\end{array}\right],$

According to calculating each quality index value that obtains in (4) step

With

Upgrade the quality state matrix M _Q(t) corresponding element in, update rule is:

1) $M_Q^{\left(1j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_1^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(1j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

Annotate: id _pBe the qualitative data grain

In operation numbering,

Expression t _(n-1)The element value of the 1st row, j row in the quality state matrix constantly, below similar;

2) $M_Q^{\left(2j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_2^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(2j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

3) $M_Q^{\left(3j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_3^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(3j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

4) $M_Q^{\left(4j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_4^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(4j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

5) $M_Q^{\left(5j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_5^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(5j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

6) $M_Q^{\left(6j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_6^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(6j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

(6) element according to each partitioned matrix in the quality state matrix obtains t _nQuality information constantly:

To t _nQuality state matrix constantly carries out piecemeal, has:

$M_Q\left(t_n\right)=\left[\begin{array}{ccc}O& {\left[\begin{array}{cccc}{M}_Q^{\left(1\right)}\left(t_n\right)& M_Q^{\left(2\right)}\left(t_n\right)& M_Q^{\left(3\right)}\left(t_n\right)& M_Q^{\left(4\right)}\left(t_n\right)\end{array}\right]}^T& O\end{array}\right]---\left(10\right)$

Wherein:

For up-to-standard submatrix, have $M_Q^{\left(1\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(12\right)}\left(t_n\right)& ...& M_Q^{\left(1j\right)}\left(t_n\right)& ...& M_Q^{\left[1(J-1)\right]}\left(t_n\right)\end{array}\right];$

For the straight-through submatrix of quality, have $M_Q^{\left(2\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(22\right)}\left(t_n\right)& ...& M_Q^{\left(2j\right)}\left(t_n\right)& ...& M_Q^{\left[2(J-1)\right]}\left(t_n\right)\end{array}\right];$

For the steady quality submatrix, have $M_Q^{\left(3\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(32\right)}\left(t_n\right)& ...& M_Q^{\left(3j\right)}\left(t_n\right)& ...& M_Q^{\left[3(J-1)\right]}\left(t_n\right)\end{array}\right];$

For the quality influence submatrix, have $M_Q^{\left(4\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(42\right)}\left(t_n\right)& ...& M_Q^{\left(4j\right)}\left(t_n\right)& ...& M_Q^{\left[4(J-1)\right]}\left(t_n\right)\\ M_Q^{\left(52\right)}\left(t_n\right)& ...& M_Q^{\left(5j\right)}\left(t_n\right)& ...& M_Q^{\left[5(J-1)\right]}\left(t_n\right)\\ M_Q^{\left(62\right)}\left(t_n\right)& ...& M_Q^{\left(6j\right)}\left(t_n\right)& ...& M_Q^{\left[6(J-1)\right]}\left(t_n\right)\end{array}\right];$

Above-mentioned partitioned matrix is analyzed, thereby is obtained the quality information in the job task implementation:

1) obtains up-to-standard information

If $\mathrm{Min}\{M_Q^{\left(12\right)}\left(t_n\right),...,M_Q^{\left(1j\right)}\left(t_n\right),...,M_Q^{\left[1(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(1j\right)}\left(t_n\right)\text{,}$ T then _nUp-to-standard rate on the j procedure is minimum constantly;

2) obtain the straight-through information of quality

If $\mathrm{Max}\{M_Q^{\left(22\right)}\left(t_n\right),...,M_Q^{\left(2j\right)}\left(t_n\right),...,M_Q^{\left[2(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(2j\right)}\left(t_n\right)\text{,}$ T then _nQuality first-pass yield on the j procedure is the highest constantly;

3) obtain steady quality information

If $\mathrm{Min}\{M_Q^{\left(32\right)}\left(t_n\right),...,M_Q^{\left(3j\right)}\left(t_n\right),...,M_Q^{\left[3(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(3j\right)}\left(t_n\right)\text{,}$ T then _nQuality rate on the j procedure is minimum constantly;

4) obtain quality influence information

1. if $\mathrm{Min}\{M_Q^{\left(42\right)}\left(t_n\right),...,M_Q^{\left(4j\right)}\left(t_n\right),...,M_Q^{\left[4(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(4j\right)}\left(t_n\right)\text{,}$ T then _nWorkman's quality influence rate on the j procedure is minimum constantly;

2. if $\mathrm{Min}\{M_Q^{\left(52\right)}\left(t_n\right),...,M_Q^{\left(5j\right)}\left(t_n\right),...,M_Q^{\left[5(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(5j\right)}\left(t_n\right)\text{,}$ T then _nEquipment quality contributive rate on the j procedure is minimum constantly;

3. if $\mathrm{Min}\{M_Q^{\left(62\right)}\left(t_n\right),...,M_Q^{\left(6j\right)}\left(t_n\right),...,M_Q^{\left[6(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(6j\right)}\left(t_n\right)\text{,}$ T then _nSupplier's quality influence rate on the j procedure is minimum constantly;

(7) forwarded for (3) step to, begin to obtain t _(n+1)Quality information constantly.

The beneficial effect that the present invention has is:

The present invention pastes each material to be processed or to be assembled in the job task and goes up the RFID label; The mobile RFID read-write device that is equipped with through the Quality People reads the RFID label to accomplish the real-time collection of qualitative data; Form the qualitative data grain; Through Key Quality Indicator such as the up-to-standard rate of each property calculation in the qualitative data grain, quality first-pass yield, quality rate, quality influence rates; On this basis, set up the quality state matrix, obtain quality information through the element of analyzing each partitioned matrix in the quality state matrix.The present invention can onlinely obtain the quality information in the discrete workshop; The quality state of material when thereby job task is carried out in the discrete workshop of monitoring in real time comprises its up-to-standard situation, straight-through (once qualified) situation of quality, steady quality situation, quality influence situation.

Description of drawings

Fig. 1 is implementation process figure of the present invention.

Embodiment

Below in conjunction with accompanying drawing and embodiment the present invention is further specified.

Fig. 1 is an embodiment of the present invention, may further comprise the steps:

(1) assign job task, bind " job task-material-RFID tag ":

Bind " job task-material-RFID tag " through following relational expression:

${\mathrm{ID}}_T\stackrel{1:n}{\↔}{M}_k\stackrel{1:1}{\↔}{o}_x---\left(1\right)$

Wherein:

1) ID _TExpression job task numbering;

2) M _kExpression thing item number;

3) o _xThe sign of expression radio frequency identification marking;

4)

Between expression job task and the material is many-one relationship, and job task ID is described _TIn K material arranged;

5) be one-one relationship between

expression material and the RFID tag; So k=x=1; 2; ..., K explains and has pasted a RFID tag on each material;

(2) initializes quality state matrix:

The quality state matrix is used for the storage operation task and carries out different operations in difference quality index value constantly.If the quality state matrix is M _Q(t), then initialized quality state matrix representation is:

M _Q(t ₀)＝O _(6×J) (2)

Wherein: t ₀Be the initial time that job task is formally assigned, J is the operation number;

(3) utilize portable radio-frequency identification reader/writer to obtain t _nQualitative data grain constantly:

Mode with full inspection is tested to the material in the job task, and the Quality Inspector adopted portable radio-frequency identification reader/writer to obtain the qualitative data grain after check finished.If t _nIn time, is engraved in the qualitative data grain that obtains on the j procedure and uses

Expression then has:

$D_Q^{\left(j\right)}\left(t_n\right)=\{\mathrm{id},\{{\mathrm{id}}_t,{\mathrm{id}}_p,{\mathrm{id}}_m\},\{c_h,c_e,c_s\},\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\{{\mathrm{id}}_k,\underset{l=1}{\overset{L}{\mathrm{\Σ}}}\{{\mathrm{id}}_l,v_s,v_t,u_m,v_r\},f\},\{n_g,n_r,n_s\},r,t_n\}---\left(3\right)$

Wherein:

1) id representes qualitative data grain numbering, when uploading qualitative data, generates through " job task numbering " and " qualitative data acquisition time " combination;

2) id _tExpression job task numbering is through reading the RFID tag collection that sticks on the material;

3) id _pExpression operation numbering is imported through the keypad that portable radio-frequency identification reader/writer carries;

4) id _mThe expression COM code is through reading the RFID tag collection that sticks on the material;

5) c _hExpression workman numbering is through reading the RFID tag collection that the workman wears;

6) c _eThe indication equipment numbering is through reading the RFID tag collection on the equipment of sticking on;

7) c _sThe expression vendor number is through reading the RFID tag collection that sticks on the starting material;

8) id _kExpression check material sequence number generates through portable radio-frequency identification reader/writer when the typing qualitative data automatically;

9) id _lExpression quality inspection bullets generates through portable radio-frequency identification reader/writer when the typing qualitative data automatically;

10) v _sExpression quality inspection project standard value is stored in the portable radio-frequency identification reader/writer in advance, when the typing qualitative data, generates automatically through portable radio-frequency identification reader/writer;

11) v _tExpression quality inspection project margin tolerance is stored in the portable radio-frequency identification reader/writer in advance, when the typing qualitative data, generates automatically through portable radio-frequency identification reader/writer;

12) u _mExpression quality inspection project measurement unit is stored in the portable radio-frequency identification reader/writer in advance, when the typing qualitative data, generates automatically through portable radio-frequency identification reader/writer;

13) v _rExpression quality inspection project measured value is imported through the keypad that portable radio-frequency identification reader/writer carries;

14) f representes whether qualified material is and indicates, according to the v of input _s, v _t, v _rValue generates automatically, and f=0 representes that the material of checking is qualified, and f=1 representes that the material of checking is defective;

15) n _gThe material quantity that expression is up to the standards is imported through the keypad that portable radio-frequency identification reader/writer carries;

16) n _rExpression is judged to the material quantity of doing over again, and imports through the keypad that portable radio-frequency identification reader/writer carries;

17) n _sExpression is judged to the material quantity of scrapping, and imports through the keypad that portable radio-frequency identification reader/writer carries;

18) r representes portable radio-frequency identification reader/writer numbering, is built in the portable radio-frequency identification reader/writer, when uploading qualitative data, is generated automatically by portable radio-frequency identification reader/writer;

19) t representes the qualitative data acquisition time, when uploading qualitative data, is generated automatically by portable radio-frequency identification reader/writer;

20) K representes the material total quantity checked;

21) L representes the Interventions Requested quantity (annotate: because material is identical in the job task, so the Interventions Requested quantity of each material is identical) of each material;

(4) according to t _nQualitative data grain constantly calculates each quality index value:

The quality index here comprises up-to-standard rate, quality first-pass yield, quality rate and quality influence rate (specifically being divided into workman's quality influence rate, equipment quality contributive rate, supplier's quality influence rate again).

1) calculated mass qualification rate

Up-to-standard rate is meant that job task completes on certain procedure after, through being judged to be qualified material quantity and the ratio between the material total quantity of this procedure completion after the check.To the quality qualification rate, it is high more good more to require.t _nThe up-to-standard rate of moment job task on the j procedure

Be expressed as:

$R_1^{\left(j\right)}\left(t_n\right)=\frac{D_Q^{\left(j\right)}\left(t_n\right)\·n_g}{D_Q^{\left(j\right)}\left(t_n\right)\·n_g+D_Q^{\left(j\right)}\left(t_n\right)\·n_r+D_Q^{\left(j\right)}\left(t_n\right)\·n_s}\×100\%---\left(4\right)$

Wherein:

1.

Expression t _nBe judged to qualified quantity after constantly the material on the j procedure being tested; (the qualitative data grain is got in ". " expression In certain attribute, down with)

2.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

3.

Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

2) calculated mass first-pass yield

The quality first-pass yield is meant that job task completes on certain procedure after, the ratio between material quantity that just is up to the standards for the first time on this procedure and the initial material operation quantity.To the quality first-pass yield, it is high more good more to require.t _nThe quality first-pass yield of moment job task on the j procedure

Be expressed as:

$R_2^{\left(j\right)}\left(t_n\right)=\frac{D_Q^{\left(j\right)}\left(t_n\right)\·n_g}{D_Q^{\left(1\right)}\left(t^{\′}\right)\·n_g+D_Q^{\left(1\right)}\left(t^{\′}\right)\·n_r+D_Q^{\left(1\right)}\left(t^{\′}\right)\·n_s}\×100\%---\left(5\right)$

Wherein:

1.

Expression t _nBe judged to qualified quantity after constantly the material on the j procedure being tested;

2. be judged to after

expression is tested to the material on the 1st procedure qualified quantity (suppose material on the 1st procedure, accomplish the moment of checking be t ' constantly);

3. be judged to after

expression is tested to the material on the 1st procedure quantity of doing over again (suppose material on the 1st procedure, accomplish the moment of checking be t ' constantly);

4. be judged to after

expression is tested to the material on the 1st procedure quantity of scrapping (suppose material on the 1st procedure, accomplish the moment of checking be t ' constantly);

3) calculated mass coefficient of stabilization

Quality rate is meant that job task completes on certain procedure after, difference in the material that is up to the standards between the tolerance value sum of each Interventions Requested and the actual deviation value sum and the ratio between the tolerance value sum.To quality rate, it is high more good more to require.t _nThe quality rate of moment job task on the j procedure Be expressed as:

$R_3^{\left(j\right)}\left(t_n\right)=\frac{\underset{l=1}{\overset{L}{\mathrm{\Σ}}}|D_Q^{\left(j\right)}\left(t_n\right)\·v_t^{\left(l\right)}|-\underset{l=1}{\overset{L}{\mathrm{\Σ}}}\left[\frac{1}{K}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\right|D_Q^{\left(j\right)}\left(t_n\right)\·v_r^{\left(\mathrm{lk}\right)}-D_Q^{\left(j\right)}\left(t_n\right)\·v_s^{\left(\mathrm{lk}\right)}\left|\right]}{\underset{l=1}{\overset{L}{\mathrm{\Σ}}}|D_Q^{\left(j\right)}\left(t_n\right)\·v_t^{\left(l\right)}|}\×100\%---\left(6\right)$

Wherein:

1.

Expression t _nConstantly the material on the j procedure is tested the tolerance value of l the Interventions Requested that the material that is up to the standards is corresponding;

2.

Expression t _nConstantly the material on the j procedure is tested the check measured value of k pairing l the Interventions Requested of material in the material that is up to the standards;

3.

Expression t _nConstantly the material on the j procedure is tested the test stone value of k pairing l the Interventions Requested of material in the material that is up to the standards;

4) calculated mass contributive rate

The quality influence rate is meant in current time and the in the past adjacent historical time section, the quality problems that certain concrete influencing factors of quality (comprising workman, equipment, starting material (supplier) etc.) caused on the operation when job task was carried out in the discrete workshop (comprise do over again or scrap) number of times and this procedure ratio between the problem total degree of improving quality.Consider from the angle of certain concrete qualitative factor, hope that its quality influence rate is low more good more.

t _nThe workman quality influence rate of moment job task on the j procedure

Be expressed as (suppose that this moment, the workman was H, and same job task being identical with the workman on the one procedure):

$R_4^{\left(j\right)}\left(t_n\right)=$

$\frac{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r{|}_{c_h=H}+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s{|}_{c_h=H}+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}---\left(7\right)$

$\×100\%$

Wherein:

1.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

2.

Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

3.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested, accumulative total in the expression historical time section total quantity of doing over again;

4.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

5.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; The workman is under the condition of H; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

6.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; The workman is under the condition of H; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

7. W _rBe the weight of doing over again, unification here is set at 0.2, down together;

8. W _sFor scrapping weight, unification here is set at 0.8, down together;

t _nThe equipment quality contributive rate of moment job task on the j procedure

Be expressed as (suppose that this moment, equipment was E, and same job task being identical with the equipment on the one procedure):

$R_5^{\left(j\right)}\left(t_n\right)=$

$\frac{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r{|}_{c_s=E}+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s{|}_{c_s=E}+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}---\left(8\right)$

$\×100\%$

Wherein:

1.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

2. Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

3.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

4.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

5. is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; At equipment is under the condition of E; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

6.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; At equipment is under the condition of E; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

7. W _rBe the weight of doing over again;

8. W _sFor scrapping weight;

t _nThe supplier quality influence rate of moment job task on the j procedure Be expressed as (suppose that this moment, the raw material supplier was S, and same job task being identical with the supplier on the one procedure):

$R_6^{\left(j\right)}\left(t_n\right)=$

$\frac{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r{|}_{c_s=S}+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s{|}_{c_s=S}+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}---\left(9\right)$

$\×100\%$

Wherein:

1.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

2.

Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

3. is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

4.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

5.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; In supplier is under the condition of S; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

6.

is illustrated in the t ' sometime of historical time section (being assumed to nearest 1 month here); When the job task that comprises identical material is carried out on the j procedure; In supplier is under the condition of S; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

7. W _rBe the weight of doing over again;

8. W _sFor scrapping weight;

(5) upgrade the corresponding element in the quality state matrix according to the quality index value:

For t _nQuality state matrix constantly has:

$M_Q\left(t_n\right)=\begin{array}{}\end{array}\left[\begin{array}{ccccc}{M}_Q^{\left(11\right)}\left(t_n\right)& ...& M_Q^{\left(1j\right)}\left(t_n\right)& ...& M_Q^{\left(1J\right)}\left(t_n\right)\\ M_Q^{\left(21\right)}\left(t_n\right)& ...& M_Q^{\left(2j\right)}\left(t_n\right)& ...& M_Q^{\left(2J\right)}\left(t_n\right)\\ M_Q^{\left(31\right)}\left(t_n\right)& ...& M_Q^{\left(3j\right)}\left(t_n\right)& ...& M_Q^{\left(3J\right)}\left(t_n\right)\\ M_Q^{\left(41\right)}\left(t_n\right)& ...& M_Q^{\left(4j\right)}\left(t_n\right)& ...& M_Q^{\left(4J\right)}\left(t_n\right)\\ M_Q^{\left(51\right)}\left(t_n\right)& ...& M_Q^{\left(5j\right)}\left(t_n\right)& ...& M_Q^{\left(5J\right)}\left(t_n\right)\\ M_Q^{\left(61\right)}\left(t_n\right)& ...& M_Q^{\left(6j\right)}\left(t_n\right)& ...& M_Q^{\left(6J\right)}\left(t_n\right)\end{array}\right],$

According to calculating each quality index value that obtains in (4) step

With

Upgrade the quality state matrix M _Q(t) corresponding element in, concrete update rule is:

1) $M_Q^{\left(1j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_1^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(1j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

(annotate: id _pBe the qualitative data grain

In operation numbering,

Expression t _(n-1)The element value of the 1st row, j row in the quality state matrix constantly, below similar)

2) $M_Q^{\left(2j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_2^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(2j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

3) $M_Q^{\left(3j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_3^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(3j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

4) $M_Q^{\left(4j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_4^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(4j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

5) $M_Q^{\left(5j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_5^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(5j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

6) $M_Q^{\left(6j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_6^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(6j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

(6) element according to each partitioned matrix in the quality state matrix obtains t _nQuality information constantly:

To t _nQuality state matrix constantly carries out piecemeal, has:

$M_Q\left(t_n\right)=\left[\begin{array}{ccc}O& {\left[\begin{array}{cccc}{M}_Q^{\left(1\right)}\left(t_n\right)& M_Q^{\left(2\right)}\left(t_n\right)& M_Q^{\left(3\right)}\left(t_n\right)& M_Q^{\left(4\right)}\left(t_n\right)\end{array}\right]}^T& O\end{array}\right]---\left(10\right)$

Wherein:

For up-to-standard submatrix, have $M_Q^{\left(1\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(12\right)}\left(t_n\right)& ...& M_Q^{\left(1j\right)}\left(t_n\right)& ...& M_Q^{\left[1(J-1)\right]}\left(t_n\right)\end{array}\right];$

For the straight-through submatrix of quality, have $M_Q^{\left(2\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(22\right)}\left(t_n\right)& ...& M_Q^{\left(2j\right)}\left(t_n\right)& ...& M_Q^{\left[2(J-1)\right]}\left(t_n\right)\end{array}\right];$

For the steady quality submatrix, have $M_Q^{\left(3\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(32\right)}\left(t_n\right)& ...& M_Q^{\left(3j\right)}\left(t_n\right)& ...& M_Q^{\left[3(J-1)\right]}\left(t_n\right)\end{array}\right];$

For the quality influence submatrix, have $M_Q^{\left(4\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(42\right)}\left(t_n\right)& ...& M_Q^{\left(4j\right)}\left(t_n\right)& ...& M_Q^{\left[4(J-1)\right]}\left(t_n\right)\\ M_Q^{\left(52\right)}\left(t_n\right)& ...& M_Q^{\left(5j\right)}\left(t_n\right)& ...& M_Q^{\left[5(J-1)\right]}\left(t_n\right)\\ M_Q^{\left(62\right)}\left(t_n\right)& ...& M_Q^{\left(6j\right)}\left(t_n\right)& ...& M_Q^{\left[6(J-1)\right]}\left(t_n\right)\end{array}\right];$

Above-mentioned partitioned matrix is analyzed, thereby is obtained the quality information in the job task implementation:

1) obtains up-to-standard information

If $\mathrm{Min}\{M_Q^{\left(12\right)}\left(t_n\right),...,M_Q^{\left(1j\right)}\left(t_n\right),...,M_Q^{\left[1(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(1j\right)}\left(t_n\right)\text{,}$ T then _nUp-to-standard rate on the j procedure is minimum constantly;

2) obtain straight-through (once qualified) information of quality

If $\mathrm{Max}\{M_Q^{\left(22\right)}\left(t_n\right),...,M_Q^{\left(2j\right)}\left(t_n\right),...,M_Q^{\left[2(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(2j\right)}\left(t_n\right)\text{,}$ T then _nQuality first-pass yield on the j procedure is the highest constantly;

3) obtain steady quality information

If $\mathrm{Min}\{M_Q^{\left(32\right)}\left(t_n\right),...,M_Q^{\left(3j\right)}\left(t_n\right),...,M_Q^{\left[3(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(3j\right)}\left(t_n\right)\text{,}$ T then _nQuality rate on the j procedure is minimum constantly;

4) obtain quality influence information

1. if $\mathrm{Min}\{M_Q^{\left(42\right)}\left(t_n\right),...,M_Q^{\left(4j\right)}\left(t_n\right),...,M_Q^{\left[4(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(4j\right)}\left(t_n\right)\text{,}$ T then _nWorkman's quality influence rate on the j procedure is minimum constantly;

2. if $\mathrm{Min}\{M_Q^{\left(52\right)}\left(t_n\right),...,M_Q^{\left(5j\right)}\left(t_n\right),...,M_Q^{\left[5(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(5j\right)}\left(t_n\right)\text{,}$ T then _nEquipment quality contributive rate on the j procedure is minimum constantly;

3. if $\mathrm{Min}\{M_Q^{\left(62\right)}\left(t_n\right),...,M_Q^{\left(6j\right)}\left(t_n\right),...,M_Q^{\left[6(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(6j\right)}\left(t_n\right)\text{,}$ T then _nSupplier's quality influence rate on the j procedure is minimum constantly;

(7) forwarded for (3) step to, begin to obtain t _(n+1)Quality information constantly

Setting up t _nQuality state matrix M constantly _Q(t _n) and obtain t _nAfter the quality information constantly, next forwarded for (3) step to, begin to obtain t _(n+1)Quality information constantly is up to the entire job task ID _TTill all being finished.

According to above-mentioned embodiment, below will be through the validity of concrete instance illustration method.

(1) assign job task, bind " job task-material-RFID tag ":

With the job task that is numbered " SC2010000562 " is that example is analyzed.Being encoded to of the corresponding material of job task [JFZ29C1], material quantity is 5, required operation has 7 roads (experiencing 7 stations altogether).At first need to bind " job task-material-RFID tag ", as shown in table 1.

Table 1 job task/material/RFID tag correspondence table

Mission number	The thing item number	Tag number
			SC2010000562	M 1	o 1
SC2010000562	M 2	o 2
			SC2010000562	M 3	o 3
SC2010000562	M 4	o 4
			SC2010000562	M 5	o 5

(2) initializes quality state matrix:

Initialized quality state matrix is: $M_Q\left(t_0\right)={\left[\begin{array}{ccccccc}0& 0& 0& 0& 0& 0& 0\\ 0& 0& 0& 0& 0& 0& 0\\ 0& 0& 0& 0& 0& 0& 0\\ 0& 0& 0& 0& 0& 0& 0\\ 0& 0& 0& 0& 0& 0& 0\\ 0& 0& 0& 0& 0& 0& 0\end{array}\right]}_{(6\×7)}.$

(3) utilize portable radio-frequency identification reader/writer to obtain t _nQualitative data grain constantly:

The Quality Inspector carries portable radio-frequency identification reader/writer, at t ₁₁The time be engraved in the qualitative data grain that obtains on the 3rd procedure As shown in table 2.

Table 2 t ₁₁Qualitative data grain instance constantly

(4) according to t _nQualitative data grain constantly calculates each quality index value:

Calculate each Key Quality Indicator value, have respectively:

$R_1^{\left(3\right)}\left(t_{11}\right)\frac{4}{4+1+1}\×100\%=67\%,$

$R_2^{\left(3\right)}\left(t_{11}\right)\frac{4}{4+1+1}\×100\%=67\%,$

$R_3^{\left(3\right)}\left(t_{11}\right)=\left(\right|\±0.5|+|\±0.25\left|\right)-[\frac{1}{4}\left(\right|80-79.6|+|80-80.2|+|80-80.4|+|80-80.3\left|\right)+\frac{1}{4}\left(\right|16-16.10|.$

$+|16-16.08|+|16-15.90|+|16-15.85|\left)\right]/\left(\right|\±0.5|+|\±0.25\left|\right)\×100\%=\frac{0.3175}{0.75}\×100\%=42\%$

Calculation

and

grain quality data requires a combination of historical analysis.Suppose in the past in 1 month that accumulative total has 200 materials [JFZ29C1] on operation 30, to handle, and wherein scraps 5 altogether, does over again 10, the inventory disposal that is caused by workman H001 has 1, and material is done over again has 2.Current time t then ₁₁The quality influence rate that workman H001 is corresponding

Be expressed as:

$R_4^{\left(3\right)}\left(t_{11}\right){|}_{c_h=H001}=\frac{(0.2\×2+0.8\×1)+(0.2\×1+0.8\×1)}{(0.2\×10+0.8\×5)+(0.2\×1+0.8\×1)}\×100\%=31\%.$

Wherein: 0.2 is the material weight of doing over again, and 0.8 is the inventory disposal weight.

Similarly obtain equipment quality impact rate Supplier Quality impact rate

(5) upgrade the corresponding element in the quality state matrix according to the quality index value:

A last moment t ₁₀The quality state matrix be:

$M_Q\left(t_{10}\right)=\left[\begin{array}{ccccccc}0& 100\%& 0& 0& 0& 0& 0\\ 0& 100\%& 0& 0& 0& 0& 0\\ 0& 56\%& 0& 0& 0& 0& 0\\ 0& 24\%& 0& 0& 0& 0& 0\\ 0& 39\%& 0& 0& 0& 0& 0\\ 0& 33\%& 0& 0& 0& 0& 0\end{array}\right].$

Because:

$M_Q^{\left(13\right)}\left(t_{11}\right)=R_1^{\left(3\right)}\left(t_{11}\right)=67\%,$ $M_Q^{\left(23\right)}\left(t_{11}\right)=R_1^{\left(3\right)}\left(t_{11}\right)=67\%,$ $M_Q^{\left(33\right)}\left(t_{11}\right)=R_3^{\left(3\right)}\left(t_{11}\right)=42\%,$

$M_Q^{\left(43\right)}\left(t_{11}\right)=R_4^{\left(3\right)}\left(t_{11}\right)=31\%,$ $M_Q^{\left(53\right)}\left(t_{11}\right)=R_5^{\left(3\right)}\left(t_{11}\right)=46\%,$ $M_Q^{\left(63\right)}\left(t_{11}\right)=R_6^{\left(3\right)}\left(t_{11}\right)=28\%.$

So t ₁₁Quality state matrix constantly is:

$M_Q\left(t_{11}\right)=\left[\begin{array}{ccccccc}0& 100\%& 67\%& 0& 0& 0& 0\\ 0& 100\%& 67\%& 0& 0& 0& 0\\ 0& 56\%& 42\%& 0& 0& 0& 0\\ 0& 24\%& 31\%& 0& 0& 0& 0\\ 0& 39\%& 46\%& 0& 0& 0& 0\\ 0& 33\%& 28\%& 0& 0& 0& 0\end{array}\right].$

(6) element according to each partitioned matrix in the quality state matrix obtains t _nQuality information constantly:

The partitioning of matrix is had:

$M_Q\left(t_{11}\right)=\left[\begin{array}{ccc}O& {\left[\begin{array}{cccc}{M}_Q^{\left(1\right)}\left(t_{11}\right)& M_Q^{\left(2\right)}\left(t_{11}\right)& M_Q^{\left(3\right)}\left(t_{11}\right)& M_Q^{\left(4\right)}\left(t_{11}\right)\end{array}\right]}^T& O\end{array}\right],$

Wherein:

$M_Q^{\left(1\right)}\left(t_{11}\right)=\left[\begin{array}{ccccc}100\%& 67\%& 0& 0& 0\end{array}\right],$ $M_Q^{\left(2\right)}\left(t_{11}\right)=\left[\begin{array}{ccccc}100\%& 67\%& 0& 0& 0\end{array}\right],$

$M_Q^{\left(3\right)}\left(t_{11}\right)=\left[\begin{array}{ccccc}56\%& 42\%& 0& 0& 0\end{array}\right],$ $M_Q^{\left(4\right)}\left(t_{11}\right)=\left[\begin{array}{ccccc}24\%& 31\%& 0& 0& 0\\ 39\%& 46\%& 0& 0& 0\\ 33\%& 28\%& 0& 0& 0\end{array}\right].$

Analyzing above-mentioned partitioned matrix knows:

1) $\mathrm{Min}\left\{M_Q^{\left(1j\right)}\left(t_{11}\right)\right\}=M_Q^{\left(13\right)}\left(t_{11}\right)=67\%,$ Current time t ₁₁The up-to-standard rate of the 3rd procedure is minimum;

2) $\mathrm{Max}\left\{M_Q^{\left(2j\right)}\left(t_{11}\right)\right\}=M_Q^{\left(22\right)}\left(t_{11}\right)=100\%,$ Current time t ₁₁The quality first-pass yield of the 2nd procedure is the highest;

3) $\mathrm{Min}\left\{M_Q^{\left(3j\right)}\left(t_{11}\right)\right\}=M_Q^{\left(33\right)}\left(t_{11}\right)=42\%,$ Current time t ₁₁The quality rate of the 3rd procedure is minimum;

4) $\mathrm{Min}\left\{M_Q^{\left(4j\right)}\left(t_{11}\right)\right\}=M_Q^{\left(42\right)}\left(t_{11}\right)=24\%,$ Current time t ₁₁Workman's quality influence rate of the 2nd procedure is minimum;

5) $\mathrm{Min}\left\{M_Q^{\left(5j\right)}\left(t_{11}\right)\right\}=M_Q^{\left(52\right)}\left(t_{11}\right)=39\%,$ Current time t ₁₁The equipment quality contributive rate of the 2nd procedure is minimum;

6) $\mathrm{Min}\left\{M_Q^{\left(6j\right)}\left(t_{11}\right)\right\}=M_Q^{\left(63\right)}\left(t_{11}\right)=28\%,$ Current time t ₁₁Supplier's quality influence rate of the 3rd procedure is minimum.

(7) forwarded for (3) step to, begin to obtain t _(n+1)Quality information constantly.

Forwarded for (3) step to, obtain next t constantly ₁₂Quality information, detailed process repeats no more.

Claims (1)

1. online acquisition methods of discrete workshop quality information based on REID is characterized in that the step of this method is following:

(1) assign job task, bind " job task-material-RFID tag ":

Bind " job task-material-RFID tag " through following relational expression:

${\mathrm{ID}}_T\stackrel{1:n}{\↔}{M}_k\stackrel{1:1}{\↔}{o}_x---\left(1\right)$

Wherein:

1) ID _TExpression job task numbering;

2) M _kExpression thing item number;

3) o _xThe sign of expression radio frequency identification marking;

4)

Between expression job task and the material is many-one relationship, and job task ID is described _TIn K material arranged;

5) be one-one relationship between expression material and the RFID tag; So k=x=1; 2; ..., K explains and has pasted a RFID tag on each material;

(2) initializes quality state matrix:

If the quality state matrix is M _Q(t), then initialized quality state matrix representation is:

M _Q(t ₀)＝O _(6×J) (2)

Wherein: t ₀Be the initial time that job task is formally assigned, J is the operation number;

(3) utilize portable radio-frequency identification reader/writer to obtain t _nQualitative data grain constantly:

If t _nIn time, is engraved in the qualitative data grain that obtains on the j procedure and uses

Expression then has:

$D_Q^{\left(j\right)}\left(t_n\right)=\{\mathrm{id},\{{\mathrm{id}}_t,{\mathrm{id}}_p,{\mathrm{id}}_m\},\{c_h,c_e,c_s\},\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\{{\mathrm{id}}_k,\underset{l=1}{\overset{L}{\mathrm{\Σ}}}\{{\mathrm{id}}_l,v_s,v_t,u_m,v_r\},f\},\{n_g,n_r,n_s\},r,t_n\}---\left(3\right)$

Wherein:

1) id representes qualitative data grain numbering, when uploading qualitative data, generates through " job task numbering " and " qualitative data acquisition time " combination;

2) id _tExpression job task numbering is through reading the RFID tag collection that sticks on the material;

3) id _pExpression operation numbering is imported through the keypad that portable radio-frequency identification reader/writer carries;

4) id _mThe expression COM code is through reading the RFID tag collection that sticks on the material;

5) c _hExpression workman numbering is through reading the RFID tag collection that the workman wears;

6) c _eThe indication equipment numbering is through reading the RFID tag collection on the equipment of sticking on;

7) c _sThe expression vendor number is through reading the RFID tag collection that sticks on the starting material;

8) id _kExpression check material sequence number generates through portable radio-frequency identification reader/writer when the typing qualitative data automatically;

9) id _lExpression quality inspection bullets generates through portable radio-frequency identification reader/writer when the typing qualitative data automatically;

10) v _sExpression quality inspection project standard value is stored in the portable radio-frequency identification reader/writer in advance, when the typing qualitative data, generates automatically through portable radio-frequency identification reader/writer;

11) v _tExpression quality inspection project margin tolerance is stored in the portable radio-frequency identification reader/writer in advance, when the typing qualitative data, generates automatically through portable radio-frequency identification reader/writer;

12) u _mExpression quality inspection project measurement unit is stored in the portable radio-frequency identification reader/writer in advance, when the typing qualitative data, generates automatically through portable radio-frequency identification reader/writer;

13) v _rExpression quality inspection project measured value is imported through the keypad that portable radio-frequency identification reader/writer carries;

14) f representes whether qualified material is and indicates, according to the v of input _s, v _t, v _rValue generates automatically, and f=0 representes that the material of checking is qualified, and f=1 representes that the material of checking is defective;

15) n _gThe material quantity that expression is up to the standards is imported through the keypad that portable radio-frequency identification reader/writer carries;

16) n _rExpression is judged to the material quantity of doing over again, and imports through the keypad that portable radio-frequency identification reader/writer carries;

17) n _sExpression is judged to the material quantity of scrapping, and imports through the keypad that portable radio-frequency identification reader/writer carries;

18) r representes portable radio-frequency identification reader/writer numbering, is built in the portable radio-frequency identification reader/writer, when uploading qualitative data, is generated automatically by portable radio-frequency identification reader/writer;

19) t representes the qualitative data acquisition time, when uploading qualitative data, is generated automatically by portable radio-frequency identification reader/writer;

20) K representes the material total quantity checked;

21) L representes the Interventions Requested quantity of each material, because material is identical in the job task, so the Interventions Requested quantity of each material is identical;

(4) according to t _nQualitative data grain constantly calculates each quality index value:

1) calculated mass qualification rate

t _nThe up-to-standard rate of moment job task on the j procedure Be expressed as:

$R_1^{\left(j\right)}\left(t_n\right)=\frac{D_Q^{\left(j\right)}\left(t_n\right)\·n_g}{D_Q^{\left(j\right)}\left(t_n\right)\·n_g+D_Q^{\left(j\right)}\left(t_n\right)\·n_r+D_Q^{\left(j\right)}\left(t_n\right)\·n_s}\×100\%---\left(4\right)$

Wherein:

1. Expression t _nBe judged to qualified quantity after constantly the material on the j procedure being tested, the qualitative data grain is got in ". " expression

In certain attribute, down with;

2.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

3.

Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

2) calculated mass first-pass yield

t _nThe quality first-pass yield of moment job task on the j procedure

Be expressed as:

$R_2^{\left(j\right)}\left(t_n\right)=\frac{D_Q^{\left(j\right)}\left(t_n\right)\·n_g}{D_Q^{\left(1\right)}\left(t^{\′}\right)\·n_g+D_Q^{\left(1\right)}\left(t^{\′}\right)\·n_r+D_Q^{\left(1\right)}\left(t^{\′}\right)\·n_s}\×100\%---\left(5\right)$

Wherein:

1.

Expression t _nBe judged to qualified quantity after constantly the material on the j procedure being tested;

2. be judged to qualified quantity after expression is tested to the material on the 1st procedure, t ' is material is accomplished check on the 1st procedure the moment;

3. be judged to the quantity of doing over again after

expression is tested to the material on the 1st procedure, t ' is material is accomplished check on the 1st procedure the moment;

4. be judged to the quantity of scrapping after

expression is tested to the material on the 1st procedure, t ' is material is accomplished check on the 1st procedure the moment;

3) calculated mass coefficient of stabilization

t _nThe quality rate of moment job task on the j procedure

Be expressed as:

$R_3^{\left(j\right)}\left(t_n\right)=\frac{\underset{l=1}{\overset{L}{\mathrm{\Σ}}}|D_Q^{\left(j\right)}\left(t_n\right)\·v_t^{\left(l\right)}|-\underset{l=1}{\overset{L}{\mathrm{\Σ}}}\left[\frac{1}{K}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\right|D_Q^{\left(j\right)}\left(t_n\right)\·v_r^{\left(\mathrm{lk}\right)}-D_Q^{\left(j\right)}\left(t_n\right)\·v_s^{\left(\mathrm{lk}\right)}\left|\right]}{\underset{l=1}{\overset{L}{\mathrm{\Σ}}}|D_Q^{\left(j\right)}\left(t_n\right)\·v_t^{\left(l\right)}|}\×100\%---\left(6\right)$

Wherein:

1.

Expression t _nConstantly the material on the j procedure is tested the tolerance value of l the Interventions Requested that the material that is up to the standards is corresponding;

2. Expression t _nConstantly the material on the j procedure is tested the check measured value of k pairing l the Interventions Requested of material in the material that is up to the standards;

3.

Expression t _nConstantly the material on the j procedure is tested the test stone value of k pairing l the Interventions Requested of material in the material that is up to the standards;

4) calculated mass contributive rate

Suppose that this moment, the workman was H, and same job task is identical with the workman on the one procedure, then t _nThe workman quality influence rate of moment job task on the j procedure

Be expressed as:

$R_4^{\left(j\right)}\left(t_n\right)=$

$\frac{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r{|}_{c_h=H}+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s{|}_{c_h=H}+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}---\left(7\right)$

$\×100\%$

Wherein:

1.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

2.

Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

3. is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

4.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

5.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; The workman is under the condition of H; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

6. is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; The workman is under the condition of H; Be judged to the quantity of scrapping after material on the j procedure tested, accumulative total in the expression historical time section scrap total quantity;

7. W _rBe the weight of doing over again, unification here is set at 0.2, down together;

8. W _sFor scrapping weight, unification here is set at 0.8, down together;

If this moment, equipment was E, and same job task is identical with the equipment on the one procedure, then t _nThe equipment quality contributive rate of moment job task on the j procedure Be expressed as:

$R_5^{\left(j\right)}\left(t_n\right)=$

$\frac{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r{|}_{c_s=E}+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s{|}_{c_s=E}+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}---\left(8\right)$

$\×100\%$

Wherein:

1.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

2. Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

3.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested, accumulative total in the expression historical time section total quantity of doing over again;

4.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

5.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; At equipment is under the condition of E; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

6.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; At equipment is under the condition of E; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

7. W _rBe the weight of doing over again;

8. W _sFor scrapping weight;

If this moment, the raw material supplier was S, and same job task is identical with the supplier on the one procedure, then t _nThe supplier quality influence rate of moment job task on the j procedure

Be expressed as:

$R_6^{\left(j\right)}\left(t_n\right)=$

$\frac{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r{|}_{c_s=S}+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s{|}_{c_s=S}+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}{W_r\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_r+W_s\×\mathrm{\Σ}{D}_Q^{\left(j\right)}\left(t^{\′}\right)\·n_s+[W_r\×D_Q^{\left(j\right)}\left(t_n\right)\·n_r+W_s\×D_Q^{\left(j\right)}\left(t_n\right)\·n_s]}---\left(9\right)$

$\×100\%$

Wherein:

1.

Expression t _nBe judged to the quantity of doing over again after constantly the material on the j procedure being tested;

2. Expression t _nBe judged to the quantity of scrapping after constantly the material on the j procedure being tested;

3.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

4. is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

5.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; In supplier is under the condition of S; Be judged to the quantity of doing over again after material on the j procedure tested,

accumulative total in the expression historical time section total quantity of doing over again;

6.

is illustrated in the t ' sometime of historical time section; When the job task that comprises identical material is carried out on the j procedure; In supplier is under the condition of S; Be judged to the quantity of scrapping after material on the j procedure tested,

accumulative total in the expression historical time section scrap total quantity;

7. W _rBe the weight of doing over again;

8. W _sFor scrapping weight;

(5) upgrade the corresponding element in the quality state matrix according to the quality index value:

For t _nQuality state matrix constantly has:

$M_Q\left(t_n\right)=\begin{array}{}\end{array}\left[\begin{array}{ccccc}{M}_Q^{\left(11\right)}\left(t_n\right)& ...& M_Q^{\left(1j\right)}\left(t_n\right)& ...& M_Q^{\left(1J\right)}\left(t_n\right)\\ M_Q^{\left(21\right)}\left(t_n\right)& ...& M_Q^{\left(2j\right)}\left(t_n\right)& ...& M_Q^{\left(2J\right)}\left(t_n\right)\\ M_Q^{\left(31\right)}\left(t_n\right)& ...& M_Q^{\left(3j\right)}\left(t_n\right)& ...& M_Q^{\left(3J\right)}\left(t_n\right)\\ M_Q^{\left(41\right)}\left(t_n\right)& ...& M_Q^{\left(4j\right)}\left(t_n\right)& ...& M_Q^{\left(4J\right)}\left(t_n\right)\\ M_Q^{\left(51\right)}\left(t_n\right)& ...& M_Q^{\left(5j\right)}\left(t_n\right)& ...& M_Q^{\left(5J\right)}\left(t_n\right)\\ M_Q^{\left(61\right)}\left(t_n\right)& ...& M_Q^{\left(6j\right)}\left(t_n\right)& ...& M_Q^{\left(6J\right)}\left(t_n\right)\end{array}\right],$

According to calculating each quality index value that obtains in (4) step

With

Upgrade the quality state matrix M _Q(t) corresponding element in, update rule is:

1) $M_Q^{\left(1j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_1^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(1j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

Annotate: id _pBe the qualitative data grain

In operation numbering, Expression t _(n-1)The element value of the 1st row, j row in the quality state matrix constantly, below similar;

2) $M_Q^{\left(2j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_2^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(2j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

3) $M_Q^{\left(3j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_3^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(3j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

4) $M_Q^{\left(4j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_4^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(4j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

5) $M_Q^{\left(5j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_5^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(5j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

6) $M_Q^{\left(6j\right)}\left(t_n\right)=\left\{\begin{array}{cc}{R}_6^{\left(j\right)}\left(t_n\right)& \mathrm{If}{D}_Q^{\left(j\right)}\left(t_n\right)\·{\mathrm{id}}_p=P_j\\ M_Q^{\left(6j\right)}\left(t_{(n-1)}\right)& \mathrm{Else}\end{array}\right.;$

(6) element according to each partitioned matrix in the quality state matrix obtains t _nQuality information constantly:

To t _nQuality state matrix constantly carries out piecemeal, has:

$M_Q\left(t_n\right)=\left[\begin{array}{ccc}O& {\left[\begin{array}{cccc}{M}_Q^{\left(1\right)}\left(t_n\right)& M_Q^{\left(2\right)}\left(t_n\right)& M_Q^{\left(3\right)}\left(t_n\right)& M_Q^{\left(4\right)}\left(t_n\right)\end{array}\right]}^T& O\end{array}\right]---\left(10\right)$

Wherein:

For up-to-standard submatrix, have $M_Q^{\left(1\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(12\right)}\left(t_n\right)& ...& M_Q^{\left(1j\right)}\left(t_n\right)& ...& M_Q^{\left[1(J-1)\right]}\left(t_n\right)\end{array}\right];$

For the straight-through submatrix of quality, have $M_Q^{\left(2\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(22\right)}\left(t_n\right)& ...& M_Q^{\left(2j\right)}\left(t_n\right)& ...& M_Q^{\left[2(J-1)\right]}\left(t_n\right)\end{array}\right];$

For the steady quality submatrix, have $M_Q^{\left(3\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(32\right)}\left(t_n\right)& ...& M_Q^{\left(3j\right)}\left(t_n\right)& ...& M_Q^{\left[3(J-1)\right]}\left(t_n\right)\end{array}\right];$

For the quality influence submatrix, have $M_Q^{\left(4\right)}\left(t_n\right)=\left[\begin{array}{ccccc}{M}_Q^{\left(42\right)}\left(t_n\right)& ...& M_Q^{\left(4j\right)}\left(t_n\right)& ...& M_Q^{\left[4(J-1)\right]}\left(t_n\right)\\ M_Q^{\left(52\right)}\left(t_n\right)& ...& M_Q^{\left(5j\right)}\left(t_n\right)& ...& M_Q^{\left[5(J-1)\right]}\left(t_n\right)\\ M_Q^{\left(62\right)}\left(t_n\right)& ...& M_Q^{\left(6j\right)}\left(t_n\right)& ...& M_Q^{\left[6(J-1)\right]}\left(t_n\right)\end{array}\right];$

Above-mentioned partitioned matrix is analyzed, thereby is obtained the quality information in the job task implementation:

1) obtains up-to-standard information

If $\mathrm{Min}\{M_Q^{\left(12\right)}\left(t_n\right),...,M_Q^{\left(1j\right)}\left(t_n\right),...,M_Q^{\left[1(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(1j\right)}\left(t_n\right)\text{,}$ T then _nUp-to-standard rate on the j procedure is minimum constantly;

2) obtain the straight-through information of quality

If $\mathrm{Max}\{M_Q^{\left(22\right)}\left(t_n\right),...,M_Q^{\left(2j\right)}\left(t_n\right),...,M_Q^{\left[2(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(2j\right)}\left(t_n\right)\text{,}$ T then _nQuality first-pass yield on the j procedure is the highest constantly;

3) obtain steady quality information

If $\mathrm{Min}\{M_Q^{\left(32\right)}\left(t_n\right),...,M_Q^{\left(3j\right)}\left(t_n\right),...,M_Q^{\left[3(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(3j\right)}\left(t_n\right)\text{,}$ T then _nQuality rate on the j procedure is minimum constantly;

4) obtain quality influence information

1. if $\mathrm{Min}\{M_Q^{\left(42\right)}\left(t_n\right),...,M_Q^{\left(4j\right)}\left(t_n\right),...,M_Q^{\left[4(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(4j\right)}\left(t_n\right)\text{,}$ T then _nWorkman's quality influence rate on the j procedure is minimum constantly;

2. if $\mathrm{Min}\{M_Q^{\left(52\right)}\left(t_n\right),...,M_Q^{\left(5j\right)}\left(t_n\right),...,M_Q^{\left[5(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(5j\right)}\left(t_n\right)\text{,}$ T then _nEquipment quality contributive rate on the j procedure is minimum constantly;

3. if $\mathrm{Min}\{M_Q^{\left(62\right)}\left(t_n\right),...,M_Q^{\left(6j\right)}\left(t_n\right),...,M_Q^{\left[6(J-1)\right]}\left(t_n\right)\}=M_Q^{\left(6j\right)}\left(t_n\right)\text{,}$ T then _nSupplier's quality influence rate on the j procedure is minimum constantly;

(7) forwarded for (3) step to, begin to obtain t _(n+1)Quality information constantly.