JP2869991B2 - Production instruction method and device in FMS line - Google Patents

Description

Description: TECHNICAL FIELD The present invention relates to a production instruction method and an apparatus thereof in an FMS (flexible manufacturing system) line, and in particular, a processing time of a workpiece in each process is significantly different. The present invention relates to a production instruction method in which a decrease in the operation rate is suppressed as much as possible.

[Conventional technology]

In order to apply recent mass production systems to many kinds of products, flexible FMS has been put to practical use. In this FMS, different from the conventional lot production, different types of products are produced according to a preset order.

One example of this type of FMS is that applied, for example, to automotive engine production.

Engines, etc., have a large number of parts to be assembled, and it is necessary to combine various parts one by one, and this must be correctly supplied in accordance with the desired product plan. Is very important.

Therefore, if the parts supply is not performed correctly, parts shortage, surplus stock, etc. occur, causing a problem that the efficiency of the production line decreases and the efficiency of the parts production factory decreases.

In particular, in the FMS, the time required for assembling or processing different types of parts greatly varies. For this reason, combination parts having a long assembly processing time and short combination parts are supplied to the line alternately or at a constant ratio as much as possible. Is preferred.

Such an assembly condition is known as a constraint condition. For example, when an electronically controlled fuel injection device (EFI) and a normal carburetor are used in an engine assembly line, the former requires a considerably long assembly time. Like this
An assembly line followed by EFI is required to have conditions that prohibit the EFI from continuing undesirably. This is called a constraint condition.

On the other hand, from the point of view of the parts manufacturing department, it is preferable to manufacture various types of parts as evenly as possible, and also from a product assembly line, a combination arrangement in which the various types of parts are subjected to assembling at equal frequency is desirable. Such a request from the parts manufacturing department is known as a leveling condition.

FIG. 7 shows an outline of a production planning method for an FMS line (mixed production line) previously proposed by the present applicant. In this production instruction method, the planned number of products per day stored in the production plan table 1, the leveling condition 2 for equalizing the interval of use of parts, the constraint for prohibiting the continuous use of parts with a high work load. Condition 3, Equipment constraint condition 4 for making the production cycle of the product equal to the number of jigs on the parts supply conveyor
In consideration of the above, the production order of the product for each work is determined, and the order of inserting the work into the production line is instructed based on the production order.

Therefore, the number of production units per day is repeated, and the unsatisfaction in the entire program is further made uniform throughout the entire product.Therefore, undesired restraint or leveling unsatisfactory products are not concentrated on a specific part. A uniform and high level production plan is drafted.

Prior art related to product production planning includes:
For example, JP-A-60-263656 and JP-A-62-88558 are known. The former discloses a method that can immediately take countermeasures corresponding to this production fluctuation after collecting the fluctuating production information, and the latter discloses a processing method that improves the operation rate of each processing device in the production process. The system is disclosed.

[Problems to be solved by the invention]

However, the conventional production instruction method shown in FIG. 7 targets an FMS line in which the processing time in each step of each work is almost constant, and uses this for an FMS line in which the processing time in each step is significantly different. Then, since the processing in the next process has been completed but the processing in the previous process has not been completed,
The work rate of the entire FMS line is extremely reduced, such as the waiting time being generated because the next work is not transferred, and the work in the subsequent process has not been completed, and the work in the previous process cannot be transferred, resulting in wasted time. Problem arises.

Therefore, in the FMS line, a production instruction method that does not reduce the operation rate as much as possible is required even if the processing time of the work in each process is significantly different.

Note that the production progress control method described in Japanese Patent Application Laid-Open No. 60-263656 has a disadvantage that the work load cannot be known until actual production is performed. In addition, a countermeasure against a decrease in the work pace is dealt with only by drawing a countermeasure table set in advance by a person, but does not disclose a method of adjusting the work input sequence in that case.

In the processing system disclosed in Japanese Patent Application Laid-Open No. 62-88558,
Using a simple formula to determine the maximum operation rate of the equipment in the process, simply determining the input timing of the next work, the input order of the work types is leveled, and the waiting time of the overall process There is no advanced scheduling function to determine from minimizing and preventing jig shortage. Further, there is no simulation function for predicting the operation rate in advance.

The present invention realizes leveling of the work input order,
An object of the present invention is to provide a production instruction method and a device for making the most of the production capacity of an FMS line.

[Means for solving the problem]

 The present invention that achieves this object is as follows.

(1) An FMS having a plurality of processes having a device for automatically processing various types of workpieces using a dedicated jig, and a transport device for automatically moving the workpiece and the jig between each process. A production instruction method in a line, comprising: leveling a work input sequence according to a production ratio based on a planned number of machining of the work per day, and minimizing a work waiting time, a number of jigs, and a work inventory. Create a compatible single work production sequence plan, simulate the behavior of the FMS line when a work is input based on the work production sequence plan, output the result of the simulation, and output the output simulation. A production instruction method for an FMS line, wherein the work production sequence plan is corrected based on a result of the production.

(2) An FMS having a plurality of processes having a device for automatically processing various types of workpieces using a dedicated jig, and a transport device for automatically moving the workpiece and the jig between each process. A production instruction method for a line, comprising: a work quantity plan input means for inputting a planned machining quantity per day of the work to an internal file; a work leveling operation according to a production ratio; A work production sequence planning means for planning a work input sequence for minimizing a work stock amount; a work jig conversion means for converting to a jig change order based on the work production sequence plan; Simulating means for simulating the behavior of the FMS line when the work is processed based on the work input sequence planned by the production sequence planning means; Trace result output means for outputting a result of the simulation means, and jig change instruction means for instructing the jig change machine of the FMS line what kind of jig to change according to a request from the FMS line. A production instruction device for an FMS line, comprising:

[Action]

In such a production instruction method and its apparatus in the FMS line, first, based on the planned number of work pieces processed per day, the work input order is standardized, and the work waiting time, the number of jigs, and the like are determined. A production sequence plan for minimizing the work inventory is prepared. Next, the behavior of the FMS line when a work is input based on the production sequence plan is simulated, and it is determined whether or not the production sequence plan is a plan that makes full use of the line capacity. Then, if there is a problem in the result of the simulation, the production sequence plan thus drafted is corrected to an optimal one.

Therefore, it is possible to plan the production sequence to maximize the production capacity of the line while realizing the work input in the FMS line, and even if the processing time in each process is significantly different, it can be operated compared to the conventional method The rate is improved.

〔Example〕

Hereinafter, preferred embodiments of a production instruction method and an apparatus for an FMS line according to the present invention will be described with reference to the drawings.

First, a production instruction method according to the present invention will be described with reference to FIGS. FIG. 1 is a block diagram showing the procedure of the production instruction method of the present invention, and FIG. 2 shows the configuration of software corresponding to FIG. In FIG. 1, first, in block 11, a work quantity plan is input. Specifically, as shown in FIG. 2, the daily number plan of each work is manually input by the operator from the screen of the cathode ray tube 22 and stored in the number plan file 29 via the MMI (interactive drawing) 27.

Next, the process proceeds to block 12, where a work order plan is made based on the number plan. More specifically, as shown in FIG. 2, the production sequence plan creation processing 32 includes a production ratio and the like obtained from the number planning file 29 and a production time, the number of jigs, an inventory amount and the like obtained from the process specification file 30. Is read, and based on this, a production sequence plan that minimizes the work input leveling and waiting time is drafted, and the result is stored in a sequence plan file (jig change instruction) 28.

When the work sequence planning is completed, the process proceeds to block 13 in FIG. 1, and the work jig conversion is performed. Specifically, as shown in FIG. 2, the work input sequence obtained from the production sequence planning file 28 is converted into a jig changeover sequence with reference to the process specification file 30, and the production sequence planning file
Store in 28.

In block 13, the process data shown in block 14 is input. That is, the process parameters changed according to the results of daily improvement are input by the operator from the screen of the CRT 24. Further, the process parameters changed when a new work is taken in are input by the engineer from the screen of the CRT 36.

In addition, between the CRT 36 and the model file 41,
Network rule definition file 39, rule generator 37, rule network source file 38,
A C compiler 40 is interposed.

When the work jig conversion of the block 13 in FIG. 1 is completed, the process proceeds to a block 15, and the behavior of the FMS line when the work is input based on the production sequence plan is simulated. Specifically, as shown in FIG. 2, the operator changes the positions of the workpiece, the jig, and the AGV (automated guided vehicle) on the line after the previous simulation displayed on the screen of the CRT 25 as necessary. MM127
And stores it in the simulation result file 31.
Next, the initial value data setting process 34 includes a simulation start position of a workpiece, a jig, and an AGV on the line obtained from the simulation result 31, and a production sequence plan file.
Obtain the initial value at the start of the simulation from the production order of the work in the current simulation range obtained from 28,
It is stored in the initial value file 43.

In block 15, the inference engine 42 shown in FIG.
Simulates the behavior of the FMS line based on the Petri net model obtained from the model file 41. The time, the number of jigs, and the number of stocks are stored in the simulation result file 31.

When the simulation in block 15 ends,
Proceeding to block 16, the next FMS line behavior obtained from the simulation result file 31 is displayed on the screen of the CRT 25. The operator sees this and changes (corrects) the production sequence plan on the screen of the cathode ray tube 22 if necessary. As a result, the production sequence plan
Is printed out in list 21.

When the simulation in the block 15 is completed, the process proceeds to a block 17, where a jig change instruction is issued.
Specifically, as shown in FIG. 2, when the state change detection process 35 receives a request signal from a jig changer (for example, an overhead traveling crane) 59, the changeover instruction output process 33 is started, and the production is started. Read the jig indicated by the pointer in the sequence planning file 28,
The type of the jig is output to the jig changer 59.

FIG. 3 shows a hardware configuration corresponding to FIG. In FIG. 3, reference numeral 51 denotes a first central processing unit (CPU), and 52 denotes a second CPU. The first CPU 51 and the second CPU 52 are connected to each other.
The CPU 51 is connected to a main storage device 53 having a storage capacity of 3 megabytes (MB). The second CPU 52 also has 3
The MB main storage device 54 is connected. In addition, both CPUs 51, 5
An auxiliary storage device 55 having a capacity of 130 MB is connected to 2. An input / output device 56 including a keyboard and a cathode ray tube is connected to the CPU 51. This input / output device 56
This corresponds to the cathode ray tube 23 in FIG. Similarly, the CPU 52 has an input / output device 57 having a keyboard and a cathode ray tube.
The input / output device 57 corresponds to the cathode ray tubes 22, 24, and 25 in FIG.

The CPU 51 implements the functions of blocks 11, 12, 13, and 17 in FIG. 1, and the CPU 52 implements the functions of blocks 14, 15, and 16 in FIG. CPU51
Are connected to a jig changer 59 via an input / output device 58. The input / output device 58 inputs and outputs jig change instruction data to and from the jig change machine 59, and a jig change instruction request is output from the jig change machine 59.

Next, the production sequence planning procedure will be described with reference to the flowchart shown in FIG.

As shown in the figure, when the number of planned machining per day is input, as shown in step 71, FMS scheduling starts, and in step 72, a work input leveling process is performed. That is, the order of loading the works is determined so that the appearance intervals of the works are the same at any time. Next, proceeding to step 73, it is determined based on the result of the simulation whether or not a jig necessary for processing is insufficient in the work input sequence determined in step 72. In this case, if a result indicating that the jig will be out of stock is given, the flow advances to step 74 to correct the work input sequence determined in step 72, and a jig shortage prevention process is performed. . If it is determined in step 73 that the jig is not out of stock, the process proceeds to step 75,
It is determined whether the production sequence plan has been completed.

If it is determined in step 75 that the plan has not been completed, the process returns to step 72 and the above steps are repeated again. If it is determined in step 75 that the plan has been completed, the process proceeds to step 76, where it is determined whether or not a waiting time occurs based on the result of the simulation.
In this case, if a result that a waiting time will occur is given, the process proceeds to step 77, in which the work input sequence determined in step 72 is corrected, and a waiting time occurrence preventing process is performed. In step 76, when it is determined that the occurrence of the waiting time does not occur, the process proceeds to step 78, and it is determined whether or not the production order adjustment is completed.If the adjustment is completed, the process proceeds to step 79 and ends. Become.

If it is determined in step 78 that the production order adjustment has not been completed, the process returns to step 76 and the above steps are repeated.

Next, an algorithm in production sequence planning will be described.

Table 1 shows the number of planned production per day that is input. Table in EN ₁ of ～JB ₃ shows a workpiece, the total work is 11 units production plan. Table 2 shows an example of the work leveling process.

In this case, the 11th and nth are other than those determined as the 11th (n-1) th.

Next, the cycle time fs and the reference stock time tz in the FMS line are determined as follows.

Cycle time ts = operation time / total planned production number = 16 ^H x 60 ^Min / 11 units = 87 ^Min / unit Reference stock time tz = experience value of improvement = 4 ^H = 240 ^Min Next, set the processing end time of the work Is performed as follows.

Here, the processing end time of the n-th input workpiece is tnmax, tnm
If in, then tnmax = n · Ts tnmin = n · Ts−Tz.

 Table 3 shows the conditions of the work production sequence planning.

As shown in Table-3, it is possible to change the order between min and max of the machining end time of each input candidate work, and assuming that the jig exists in the jig buffer, the waiting time of each process is set to Min. This production order is required. References for minimizing this waiting time include, for example, “Handbook for Observing Delivery Time and Minimizing Product Inventory” (Osaka Prefecture Univ .: Miyazaki) and research reports by the Japan Society of Precision Engineering Production System Information Processing Subcommittee. There is a book.

Next, a procedure for giving a constant production ratio input order will be described.

Assuming that the output of the product Ai (i = 1, 2, 3,..., N) is Qi, the total output of the product is Becomes

In order to realize “constant product production ratio”, the order of Ai product introduction is determined according to FIG. Let Mi (k) be the target production quantity and Ai (k) be the actual production quantity for manufacturing the Ai product up to the k-th product. (Mi (k) is a real value, Xi
(K is an integer value) The k-th constant production ratio deviation is represented by the following equation.

Sum of Dk from 1st to Qth Is the optimal solution for "Constant product production ratio."

Algorithm I This algorithm assumes that the order from the first to the (k-1) th has been determined, and simply sets the product that minimizes the kth Dk to the kth order. The order of the products from the Qth to the Qth is determined.

 It is determined by the following procedure.

(1) Set an initial value.

Xi (θ) = θ (2) Let Ai satisfying the following equation be the k-th product.

(3) Update the actual production quantity.

Xi (k) = Xi (k-1) i ≠ i ^* Xi (k) = Xi (k-1) +1 i = i ^* (4) If k = Q, the procedure ends.

If k ≠ Q, set k to k + 1 and return to step (2).

Algorithm II This algorithm assumes that the order from the first to the (k-1) th has been determined, and simply sets the kth product with the highest production ratio to the kth order. The order of the products from to is determined.

 It is determined by the following procedure.

(1) Set an initial value.

(2) Let Ai that satisfies the following equation be the k-th product.

Find i ^* (EN) that is max Yi (k-1).

(3) Update the production ratio.

(4) If k = Q, the procedure ends.

If k ≠ Q, set k to k + 1 and return to step (2).

Input ordering with constant production ratio with constraints Satisfy the following two constraints so that the production ratio of products is as constant as possible.

Don't let people wait.

Make sure that you do not run out of jigs.

Regarding the above constraint, “people are waiting” means that “the cycle time of the automatic guided vehicle is shorter than the cycle time of the human being, and there is no buffer product”.

Therefore, the cycle time of the automatic guided vehicle is as follows.

T _m : Processing time T _A : Time for the automatic guided vehicle to make one round without waiting time _TOP : Person's cycle time Also, “the person does not wait” means “the cycle time of the automatic guided vehicle is the person's cycle time. , The sum of the delays is within the range that can be absorbed by the buffer. "

Therefore, the expression "people wait" is as follows.

Regarding the above constraint condition, "Jig is insufficient"
This means that there is no jig for the input work. In other words, this means that "all the jigs for the input work are being processed."

W _m ; number of workpieces in progress (working on M1) I _k ; k-th workpiece jig (I _k ); k-th workpiece jig [I _i I _k ] = 0 ; The jig for the i-th workpiece to be loaded ≠ The jig for the k-th workpiece to be loaded = 1; The jig for the i-th workpiece to be loaded = the jig for the k-th workpiece The jig is sufficient. Means that there is at least one jig for the input work.

Therefore, the expression "the jig is not enough" is expressed as follows.

Algorithm III In the present algorithm, assuming that the order from the first to the (k-1) th has been determined, the kth order is obtained by the following procedure. By repeating such a procedure, the order of the first to Qth products is determined.

(1) determine the k-th product A _i in the manner described in the "ordering of the production ratio constant-on".

Does the constraint of (2) satisfy? If yes, go to step (3).

If No, go to step (1).

(3) If k = Q, set k = 1 and proceed to step (1).

If k ≠ Q, set k to k + 1 and return to step (1).

(1) 'determine the destination of the product A _i.

Since it is impossible to introduce the product A _i at the k-th position, it is determined where A _i should be moved.

Select one product that satisfies the constraint of the one with the higher production ratio. I repeated this to the point where the product A _i is the possible introduction.

It is assumed that the product A _i can be put into the market.

(2) Update 'm _i (t).

When the product A _i is determined k _0th , m _i (t) is updated as follows.

(3) 'Next, as shown in FIG. 6, let k be k ₀ ,
Return to step (3).

※ case until the Q-th of improper product A _i turned on becomes the processing impossible, prints an error message and exits.

(1) "k-th product A _i is, if the constraint conditions are satisfied or? Yes, step (2)" forward to.

 If No, go to step (1).

(2) If k = Q, the procedure ends.

If k ≠ Q, set k to k + 1, and step (1) ″
Proceed to.

(1) Find the maximum moving distance of the (k-1) th product.
For product A _i becomes possible is turned on (forward) k th obtained do we move k-1 th product anywhere.

i) Let k ^* = (k-1) -1.

ii) Let the k ^* th product be the k-1th product to be launched.

iii) The k ^* + 1-th product is assumed to have the highest production ratio among the products satisfying the constraint of

iv) k ^* + 2 th to k-1 th products are steps
Determine in the same way as iii).

v) Can the k-th product A _{i be} introduced? If Yes, k ^* -(k-1) is the maximum moving distance of the products up to the (k-1) th.

If No, set k ^* = k ^* -1 and return to step ii).

Let K ₀ 'th be the furthest input location of the (k-1) th product.

(2) determine the maximum travel distance of the k-th product A _i. Since the (backward) k-th product A _i is turned not to determine whether it is sufficient to move the product A _i to anywhere.

i) Let k ^* = k.

ii) The k ^* th product shall be the product with the highest production ratio among the products that satisfy the constraint conditions.

or it can be carried out of product A _i put it in iii) k ^* +1 th? If Yes, it is the (k ^* + 1) -kth product maximum movement distance.

If No, set k ^* = k ^* + 1 and return to step ii).

K ₀ th to the farthest-up location of the k-th product A _i.

(3) Let k ^* = K ₀ '+1.

(4) If k ^* ≧ k, proceed to step (12).

(5) Move the (k-1) th product to the k ^* th product.

(6) The products from k ^* + 1 to k-1 are:
Of the production ratios among those satisfying the above constraint conditions.

(7) Set k ^** = k + 1.

Proceed to (8) If the k ^** ≧ K ₀ step (11).

(9) k ^** th in the case of trying to introduce k-th product A _i, obtaining the product from the k-th to k ^** -1 th.

i) and i = 1, if k ^** ≧ K ₀ advances to step (8).

ii) Do any of the k-th products satisfy the following constraints? If yes, go to step iii). It is assumed that there are n (≦ N) that satisfy the constraint condition.

Let i ^* = n.

 If no, go to step vii).

iii) If i ≧ i ^* , proceed to step vii).

iv) From the products obtained in step ii), select the product having the i-th highest production ratio.

v) The products from k + 1 to k ^**- 2 are
Among those satisfying the above constraint, the one with the highest production ratio is selected.

or to vi) k ^** th capable of product A _i turned on is, k ^** can choose the -1st product? If Yes, the k ^* th to k ^** th products are found, Ask for. Let i ^* = i.

If No, set i = i + 1 and return to step iii).

vii) Set k ^** = k ^** + 1 and return to step (8).

(10) From the result obtained in step (9), ^Are the input products from the k ^* th to the k ^** th.

(11) Set k ^** = + 1 and return to step (4).

(12) From the result obtained in step (10), ^Are the input products from the k ^* th to the k ^** th.

(13) Return to step (2) ″ with k = k ^** .

Next, a simulation based on the Petri net model will be described with reference to Tables 4 and 5.

Table-4 shows the places of the Petri net simulation, M1 to M4 show the processing machines for processing the work, and JA1 to JB3 show the work. Table-
Reference numeral 5 denotes a place for an unmanned transfer truck as a transfer device. In the table, S indicates jig change, P25 in S indicates arrival of the truck, and P26 in S indicates departure of the truck. Similarly, P27 in S indicates arrival of the jig.

In the table, L indicates a station, P28 in L indicates arrival of the bogie, and P29 indicates departure of the bogie. P30 indicates arrival of the jig, and P31 indicates departure of the jig. Similarly P32 in L ₁ represents a work start of the worker in this step, P33 represents the working end of the worker. P34 indicates the arrival of the work. The operator does not always stay in the same process, but tours each process based on a preset schedule.

Note that, in addition to the above, a transition, an operation priority rule, and a movement rule are added to this simulation.

Thus, in the present invention, work waiting and work,
Since the relationship with the jig shortage is planned to be within a certain section (time), even if a worker who patrols each process arrives at a predetermined process, the work to be processed is transported for a long time. The problem of not coming is gone.

〔The invention's effect〕

According to the production instruction method and apparatus for the FMS line according to the present invention, the following effects can be obtained.

(A) In addition to the conventional work production sequence planning by leveling according to the conventional production ratio, a plan that minimizes the work waiting time becomes possible. Therefore, even when the processing time of the work in each process is significantly different, the production capacity of the FMS line can be maximized, and the operation rate can be significantly increased as compared with the conventional method.

(B) Since the number of jigs can be minimized, the amount of capital investment can be significantly reduced.

(C) The number of workpieces can be minimized, and the production lead time can be significantly reduced.

(D) By simulating the behavior of the FMS line on the next day, it is possible to identify the process that causes a problem, and it is possible to reliably guarantee the production amount on the next day. Further, even when a new type of work is flown, the equipment capability and the process capability can be verified in advance by simulation, so that when the process is insufficient, the process design time can be significantly reduced.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a production instruction method in an FMS line according to the present invention, FIG. 2 is a software configuration diagram corresponding to FIG. 1, FIG. 3 is a hardware configuration diagram corresponding to FIG. Fig. 5 is a flowchart showing the sequence of the production sequence planning in the production instruction method shown in Fig. 1. Figs. 5 and 6 are relationship diagrams showing the relationship between the production amount and the input sequence of the work in the production sequence planning. Fig. 7 is FMS. FIG. 3 is a software configuration diagram showing a conventional production instruction method in a line. 51a: Work order planning means 51b: Work jig changing means 51c: Jig change instruction means 52: Simulation means 56: Work piece plan input means 57: Trace result output means 59: Jig Change machine

Continuation of the front page (56) References JP-A-63-295163 (JP, A) JP-A-62-88540 (JP, A) JP-A-63-144938 (JP, A) JP-A-60-263656 (JP) , A) JP-A-62-88558 (JP, A) (58) Fields investigated (Int. Cl. ⁶ , DB name) B23Q 41/08 G06F 15/21 G05B 13/04 G05B 15/02

Claims (2)

(57) [Claims] A plurality of processes having a device for automatically processing various types of workpieces using a dedicated jig, and a transfer device for automatically moving the workpiece and the jig between the respective processes. A production instruction method in an FMS line having a work input sequence according to a production ratio based on the planned number of work pieces processed per day, and minimizing a work waiting time, a number of jigs, and a work inventory. Create a single work production sequence plan compatible with the above, simulate the behavior of the FMS line when a work is input based on the work production sequence plan, output the simulation result,
A production instruction method in an FMS line, wherein the work production sequence plan is corrected based on the output simulation result. A plurality of processes having a device for automatically processing various types of workpieces using a dedicated jig, and a transfer device for automatically moving the workpiece and the jig between each process. A work quantity planning input means for inputting a planned machining quantity of the work per day into an internal file, a work leveling work according to a production ratio, and a work waiting time, Number of tools, work production sequence planning means for planning the work input sequence to minimize the work inventory, work jig conversion means for converting to a jig change order based on the work production sequence plan, Simulating means for simulating the behavior of the FMS line when processing the work based on the work input sequence planned by the work production sequence planning means; A trace result output means for outputting a result of the simulating means; and a jig change instruction means for instructing a jig change machine of an FMS line a type of jig to be changed by a request from the FMS line. A production instruction device in an FMS line, comprising: