CN116384616A - Intelligent management method and system for production worksheets of printed and packaged products and electronic equipment - Google Patents
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Abstract
The invention discloses an intelligent management method, an intelligent management system and electronic equipment for production worksheets of printing and packaging products, wherein the method comprises the following steps: acquiring sales order data, analyzing the sales order data, and judging whether the sales order data is a new product or not; if yes, a production process of a new product is formulated, and a corresponding production work order is generated according to the production process and sales order data; if not, acquiring warehouse inventory data, performing quality inspection on the inventory data deliverable products, and delivering the products before the delivery date; when the inventory data is insufficient, generating a production work order corresponding to the sales order, wherein the production work order comprises at least one production procedure, judging whether the current production work order or the production procedure needs to execute an outgoing program, and if the outgoing program does not need to be executed, generating a scheduling plan according to the production work order; if the outgoing program needs to be executed, the outgoing processing end performs scheduling. The invention can automatically generate a production schedule according to the production work order, reduce the production cost and improve the production efficiency.
Description
The present application claims a chinese invention patent, application number 2022107105704, entitled: an intelligent management method, system and priority of electronic equipment for producing work orders for printed and packaged products, the entire contents of which are incorporated herein by reference.
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent management method, an intelligent management system and electronic equipment for production worksheets of printed and packaged products.
Background
On a factory production line, a work order is an important management carrier, a production manager arranges and adjusts production tasks according to the work order record and the production process, and meanwhile, the production manager also exchanges information with suppliers and sales departments, so that timely delivery of production is ensured, the quantity of general work order management data is huge and complicated, and a series of production management reports are formed, so that the production manager can conveniently read and analyze the production management reports.
In the prior art, in the printing industry, printed matters are printed and produced, and a production work order is required to be generated according to an order. In the production work orders, the work orders are generally manually reviewed and determined, real-time production cannot be accurately and rapidly performed according to data such as stock, materials and the like in the work order review and management process, and information feedback is lagged in the production process, so that the production management efficiency is reduced, and the production period is prolonged.
Accordingly, the prior art is still in need of improvement and development.
Disclosure of Invention
In view of the defects of the prior art, the invention provides an intelligent management method, an intelligent management system and intelligent management electronic equipment for a production work order of a printed and packaged product, and aims to solve the problems that in the prior art, the production work order is generally manually checked and determined, real-time production cannot be accurately and rapidly carried out according to data such as stock, materials and the like in the process of work order checking and management, and information feedback is delayed in the process of production, so that production management efficiency is reduced and production period is prolonged.
The technical scheme of the invention is as follows:
the first embodiment of the invention provides an intelligent management method for a production work order of a printed and packaged product, which comprises the following steps:
A. acquiring sales order data, analyzing the sales order data, and judging whether the sales order data is a new product or not;
B. if the product is an old product, warehouse inventory data is obtained, quality inspection is carried out on the inventory data deliverable product, and the product is delivered before the delivery period;
C. when the inventory data is insufficient, generating a production work order corresponding to the sales order according to the sales order data and the inventory data allowance, wherein the production work order comprises at least one production procedure;
D. Acquiring capacity historical data of a current production line, and judging whether a current production work order or a production procedure needs to execute an outgoing program according to the capacity historical data, wherein the outgoing program refers to that the production work order or the production procedure is outgoing to an outgoing processor for production;
E. if the outgoing program does not need to be executed, generating a scheduling plan according to the production work order;
F. if the outgoing program is required to be executed, acquiring a remaining production work order or production procedure after the outgoing program is executed, and generating a scheduling plan according to the remaining production work order or production procedure;
G. and if the product is a new product, making a production process of the new product, generating a corresponding production work order according to the production process and sales order data, and executing the step D.
Further, the step E includes:
when the sales order is an emergency order, judging whether production equipment required to be used for producing the work order is occupied or not;
if the production work order is occupied, splitting the production work order into a plurality of sub-production work orders according to the idle production equipment;
and generating a scheduling plan according to the sub-production work orders.
Further, the step E includes:
when the production work order is marked as a new product or an old product exceeding a set difficulty level, acquiring new product production notice or old product production historical data;
And recommending corresponding production equipment captain during production scheduling, and pushing corresponding prenatal quality reminding to the production equipment captain.
Further, in step E or F, when generating the scheduling plan, the method further includes:
and presetting a scheduling influence factor, and selecting optimal scheduling conditions according to the scheduling influence factor.
Further, the production-affecting factor is obtained by:
the constraint conditions are respectively as follows:
wherein C is cost, T is construction period, the quality is Q, i is working procedure, C 1,i For the process i cost, T 1,i For working procedure i, construction period, a 1,i A is a parameter of the degree of the change of the cost of the process i along with the progress of the construction period, and a 1,i ＞0，t 1,i C for optimum working period of procedure i 1,i For the lowest cost of process i, T 2,i To process i, Q 1,i For the process i mass, a 2,i For the parameter of the degree of the change of the working procedure i construction period along with the quality requirement, q 1,i For the most suitable quality of process i, t 2,i C for the most suitable construction period of the procedure i 2,i To process i cost, Q 2,i For the process i mass, a 3,i For the parameters of the degree of the change of the cost of the process i along with the quality requirement, q 2,i For the best quality of process i, c 2,i The cost is optimized for the process i.
Further, the generating a scheduling plan according to the production work order includes:
acquiring the quantity to be produced of the current production line according to the production work order;
Calculating materials required by a sales order according to the quantity to be produced;
acquiring a current available inventory, and generating a material purchase order according to the available inventory;
when the sales order is an emergency order and the available stock materials are insufficient, searching for a replaceable material according to the material difference between the material plan and the stock required material, and generating a production scheduling plan by using the replaceable material;
when the stock alternative materials are insufficient, pushing a process change scheme according to the final effect of the printed and packaged products, and generating a scheduling plan through process change.
Further, after the step E, the method further includes:
when the work order is finished, judging whether the work order has supplementary printing or not;
when the offset is available, the problem procedure is analyzed, alarm information is output, and the solution is pushed to production equipment of the problem procedure.
Another embodiment of the present invention provides an intelligent management system for a production work order of a printed and packaged product, the system comprising:
the order analysis module is used for acquiring sales order data, analyzing the sales order data and judging whether the sales order data is a new product or not;
the data processing module is used for acquiring warehouse stock data when the sales order data is an old product, checking the quality of the stock data for the deliverable product, and delivering the product before the delivery period, or generating a production work order corresponding to the sales order according to the sales order data and the stock data allowance when the stock data is insufficient, wherein the production work order comprises at least one production procedure; when the sales order data is a new product, a production process of the new product is formulated, and a corresponding production work order is generated according to the production process and the sales order data;
The data judging module is used for acquiring capacity historical data of the current production line, judging whether the current production work order or the production procedure needs to execute an outgoing program according to the capacity historical data, wherein the outgoing program refers to that the production work order or the production procedure is sent to an outgoing processor for production;
the first scheduling plan generating module is used for generating a scheduling plan according to the production work order if the outgoing program does not need to be executed;
and the second scheduling plan generating module is used for acquiring the residual production work orders or production procedures after the outgoing procedure is executed if the outgoing procedure is required to be executed, and generating a scheduling plan according to the residual production work orders or production procedures.
Another embodiment of the invention provides an electronic device including at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of managing production work orders described above.
Another embodiment of the present invention also provides a non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the above-described method of managing production work orders.
The beneficial effects are that: when the sales order is obtained, the embodiment of the invention directly obtains the inventory data, and when the inventory is insufficient, whether the production work order or the production procedure is required to be sent to other manufacturers for production or not can be automatically determined according to the production energy historical data of the production line, and the production scheduling plan can be automatically generated according to the production work order, so that the production cost is reduced, and the production efficiency is improved.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a preferred embodiment of a method for intelligent management of a printed packaging product production work order according to the present invention;
FIG. 2 is a schematic diagram of functional modules of a preferred embodiment of an intelligent management system for a printed and packaged product production work order according to the present invention;
fig. 3 is a schematic hardware structure of an electronic device according to a preferred embodiment of the invention.
Detailed Description
The present invention will be described in further detail below in order to make the objects, technical solutions and effects of the present invention more clear and distinct. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Embodiments of the present invention are described below with reference to the accompanying drawings.
In view of the above problems, an embodiment of the present invention provides an intelligent management method for a production work order of a printed and packaged product, refer to fig. 1, and fig. 1 is a flowchart of a preferred embodiment of the intelligent management method for a production work order of a printed and packaged product. As shown in fig. 1, it includes:
Step S100, obtaining sales order data, analyzing the sales order data, and judging whether the sales order data is a new product or not; if yes, executing step S700, otherwise executing step S200;
step 200, if the product is an old product, warehouse inventory data is obtained, quality inspection is carried out on the inventory data deliverable product, and the product is delivered before the delivery period;
step S300, when the inventory data is insufficient, generating a production work order corresponding to the sales order according to the sales order data and the inventory data allowance, wherein the production work order comprises at least one production procedure;
step S400, acquiring capacity historical data of a current production line, judging whether a current production work order or a production procedure needs to execute an outgoing program according to the capacity historical data, wherein the outgoing program refers to outgoing the production work order or the production procedure to an outgoing processor for production, if so, executing the step S500, and if not, executing the step S600;
s500, generating a scheduling plan according to the production work order;
step S600, obtaining a residual production work order or a production procedure after the outgoing procedure is executed, and generating a scheduling plan according to the residual production work order or the production procedure;
and step S700, if the product is a new product, a production process of the new product is formulated, a corresponding production work order is generated according to the production process and sales order data, and step S400 is executed.
In specific implementation, after the customer service in the embodiment of the invention determines the sales order of the customer, the sales order is sent to the production management department. The production management department terminal directly prompts whether the product is a new product or an old product, and when the product is a new product, the product review information is output, a product technology data table is generated, and a product production process is formulated according to the product technology data table for subsequent generation of a production work order. Wherein the production process comprises a process list, a bill of materials BOM and the like.
When the products corresponding to the sales order data are identified as old products, warehouse inventory data are acquired, when the situation that other orders occupy the goods exists in the inventory quantity is judged, the free inventory allowance of the products which do not occupy the goods is calculated, then whether the free inventory allowance is larger than the delivery allowance is judged, when the free inventory allowance is larger than the delivery allowance, quality inspection is conducted on the inventory products of the corresponding data, and if the free inventory allowance is smaller than the delivery allowance, quality inspection is conducted on all the inventory products.
When quality inspection is performed, corresponding quality inspection is performed according to the production date of the free inventory product, for example, the production date is free from inspection within 0-1 month; only physical spot inspection is carried out on the production date within 1-3 months; and if the production date exceeds 3 months, performing physical and chemical selective inspection, and then delivering the qualified products before the delivery period.
When the sales order is an emergency order and the inventory is occupied by other sales orders, the occupancy of the inventory is released, and a corresponding production work order is generated according to the released sales order.
When the stock data is insufficient, the production management department can judge whether the order quantity is large according to the order data in the sales order, and if so, the production management department can divide the sales order into a plurality of production work orders according to the situation. Taking printing as an example, each work order can also comprise one or more of printing, silk screen printing, die cutting and other working procedures, and the rest working procedures after the first working procedure are simultaneously produced.
In the process of generating the work order, the capacity history of the current production line is obtained, and the optimal production scheme can be selected according to the capacity history of the current production line, for example, whether the production work order is sent out to an outgoing processor for production or a certain procedure in the production work order is sent out to the outgoing processor for production can be judged according to the capacity history of the production line, so that the cost is reduced. If the fact that the outgoing is not needed is determined, generating a scheduling plan according to the current production line and the production work order, and producing according to the scheduling plan.
If the outgoing is required, judging whether the outgoing has the residual production work order or production procedure, and if the outgoing has the residual production work order or production procedure, generating a scheduling plan according to the residual production work order or production procedure.
In one embodiment, the step S100 further includes parsing delivery data in the sales order data, wherein the delivery data includes a delivery quantity, a delivery lot; and splitting the sales order according to the delivery quantity and delivery batch, thereby generating a plurality of production work orders. At least one production process is carried out on each production work order.
In one embodiment, the method further includes the steps of after obtaining sales order data, analyzing the sales order data, and generating a production work order corresponding to the sales order according to an analysis result:
if the change of the delivery quantity in the sales order is detected, the production work order is adjusted according to the changed delivery quantity, and the adjusted production work order is generated.
In the specific implementation, in the production process, if a customer adds an order, or if the number of orders is changed, such as order errors, order quantity reduction, etc., the state of the order needs to be changed in time, and a new production work order is generated.
In one embodiment, obtaining capacity history data of a current production line, and judging whether a current production work order or a production procedure needs to execute an outgoing program according to the capacity history data includes:
acquiring capacity historical data of a production process of a current production line, wherein the capacity historical data comprises the production efficiency, the production cost and the profit margin of the current production line;
calculating the capacity historical data of the current production work order according to the capacity of the production process;
and judging whether the current production work order or the production process needs to execute an outgoing program according to the capacity historical data of the production process and the capacity historical data of the production work order.
In specific implementation, capacity historical data of production procedures of a current production line are obtained, different production procedures correspond to different production equipment, and different production equipment has different capacities. The production efficiency, the production cost and the profit margin of the current production line and the production efficiency, the production cost and the profit margin of the outgoing can be obtained according to the capacity historical data, the comparison is carried out according to the production efficiency, the production cost and the profit margin of the outgoing in the factory, and whether the outgoing program needs to be executed is selected according to the comparison result. For example, when the equipment of the present factory cannot complete the task, an outgoing is required. Or when the production cost of the equipment of the factory is higher than the cost of the outgoing, the corresponding production work order or production procedure is also required to be outgoing.
In one embodiment, the generating a scheduling plan according to the material purchasing situation further comprises:
and acquiring a preset priority in the production work order, and generating a scheduling plan according to the preset priority and the material purchasing condition.
In practice, there may be multiple sales orders at the same time, and the priority of the sales orders may need to be ordered. The rules for ordering may order based on delivery date. Typically the earliest delivery has the highest priority.
In one embodiment, if the outgoing program needs to be executed, acquiring a production work order or a production procedure remaining after the outgoing program is executed, and generating a scheduling plan according to the remaining production work order or production procedure, including:
if the outgoing program is required to be executed, historical production data of an outgoing manufacturer is obtained, a corresponding optimal outgoing manufacturer is pushed according to the historical production data, and a production work order or a production procedure is sent to the outgoing manufacturer;
and acquiring a production work order or a production procedure which is remained after the outgoing procedure is executed, and generating a scheduling plan according to the remained production work order or the production procedure.
In particular, when an outgoing program needs to be executed, historical production data of an outgoing manufacturer can be obtained, wherein the historical production data include, but are not limited to, delivery time rate, yield, complaint condition, production price and the like. Based on the historical production data, pushing the optimal outgoing manufacturer, outgoing corresponding production work orders or production procedures to the outgoing manufacturer, and producing the rest production work orders or production procedures by a production line of the factory to generate a scheduling plan.
Preferably, when generating the scheduling plan, a scheduling influence factor may be preset, and an optimal scheduling scheme may be selected according to the scheduling influence factor. The production influence factors include, but are not limited to, conditions of minimum production period, minimum production cost, maximum quality, etc. The production work order scheme with the shortest production period is the production work order scheme with the smallest production period under the condition of quality and cost constraint, the production cost is the production work order scheme with the smallest production cost under the condition of the quality constraint, and the quality is the production work order scheme with the largest quality under the condition of the quality constraint and the cost constraint, and the production work order scheme with the largest quality under the condition of the quality constraint and the cost constraint can be specifically selected according to the quality grade requirements of clients, the construction period, the cost and the like.
Wherein the production-affecting factor is obtained by:
the constraint conditions are respectively as follows:
wherein C is cost, T is construction period, the quality is Q, i is working procedure, C 1,i For the process i cost, T 1,i For working procedure i, construction period, a 1,i A is a parameter of the degree of the change of the cost of the process i along with the progress of the construction period, and a 1,i ＞0，t 1,i C for optimum working period of procedure i 1，i For the lowest cost of process i, T 2，i To process i, Q 1，i For the process i mass, a 2，i For the parameter of the degree of the change of the working procedure i construction period along with the quality requirement, q 1，i For the most suitable quality of process i, t 2，i C for the most suitable construction period of the procedure i 2，i To process i cost, Q 2，i For the process i mass, a 3，i For the parameters of the degree of the change of the cost of the process i along with the quality requirement, q 2，i For the best quality of process i, c 2，i The cost is optimized for the process i.
In an alternative embodiment, the model relationship of the time period T to the cost C is obtained by:
the total cost of work order production consists of two parts, namely direct cost (which is relatively large) and indirect cost (which is relatively small), wherein the direct cost is used for each working procedure in the production scheme, the direct cost is in inverse proportion to the time length of the working procedure in the shortest construction period and optimal construction period point range, and the direct cost is in direct proportion to the time length of the working procedure beyond the shortest construction period and optimal construction period; the indirect cost is generally in a direct proportion relation with the construction period, and the construction period and the cost are in a quadratic function relation of an upward concave curve through comprehensive calculation and regression fitting:
C 1，i ＝a 1，i (T 1，i -t 1，i ) 2 +c 1，i (1)
in the formula (1): i is a process; c (C) 1，i Cost for process i; t (T) 1，i The construction period is the working procedure i; a, a 1，i A is a parameter of the degree of the change of the cost of the procedure i along with the progress of the construction period 1，i ＞0；t 1，i The optimal construction period of the procedure i is adopted; c 1，i The lowest cost for process i.
The relation between the construction period T and the quality Q model is obtained by the following steps:
for work order production, the quality is in a direct proportion to the construction period within the range of the proper quality and the optimal quality, and exceeds the optimal quality, and the delta Q is decreased every time delta T is increased according to the rule of decreasing the marginal benefit; if the quality requirement is lower than the proper quality, the quality problem is increased, so that the rework rate is increased easily, and the construction period is increased. Through comprehensive calculation and regression fitting, the construction period and the quality are the quadratic function relation of the concave curve:
T 2，i ＝a 2，i (Q 1，i -q 1，i ) 2 +t 2，i (2)
In the formula (2): i is a process; t (T) 2，i The construction period is the working procedure i; q (Q) 1，i The quality of the step i; a, a 2，i The method comprises the steps of (1) setting a parameter of the degree of change of the construction period of a procedure i along with the quality requirement; q 1，i The most suitable quality for the procedure i; t is t 2，i The most suitable construction period for the procedure i.
The mass (Q) versus cost (C) model relationship is obtained by:
for work order production, not the higher the quality, the better, the higher the quality, which can lead to excessive cost increase; however, if the quality level is neglected in pursuit of low cost, the rework rate tends to increase, and the cost increases. Through comprehensive calculation and regression fitting, the quality and the cost are quadratic function relations of the concave curve:
C 2,i ＝a 3,i (Q 2,i -q 2,i ) 2 +c 2,i (3)
obtaining: q (Q) 2,i ＝a 3,i -1/2 (C 2,i -c 2,i ) 1/2 +q 2,i (4)
In the formula (4): i is a process; c (C) 2,i Cost for process i; q (Q) 2,i The quality of the step i; a, a 3,i The method is characterized in that the cost of the process i is a parameter of the degree of variation of the cost along with the quality requirement; q 2,i The best quality for the procedure i; c 2,i The cost is optimized for the process i.
Wherein, the cost is the sum of the cost of each process; the construction period is the sum of the duration of each procedure on the critical path; for the quality calculation, it is first quantized, the quality level of each process is set to 1 for the normal time period, and the total quality is the weighted sum (weight ω) of the quality level 1 for the normal time period i Customer quality attention assessment for each processThe sum of the high-risk scores of the expert quality is calculated relative to the sum of the total scores of the expert quality, and an objective function equation of the cost, the construction period and the quality is obtained as follows:
Wherein:
alternatively, the customer quality attention score and the expert quality high risk score of each step are set to 10 points (of course, 5 points or 1 point, etc.). Wherein, the customer quality attention degree scoring of each process can be performed scoring on each process by a plurality of customers respectively; the expert quality high-risk scoring of each process can be performed by a plurality of (the same number as) technical experts to score each process respectively. The quality weights of the procedures are as follows: the ratio of the sum of customer quality attention score and expert quality high risk score for each process to the sum of the total scores. The quality of each procedure is as follows: and finishing the product of the quality level 1 and the quality weight of each process according to the normal duration by each process. The total mass is: the sum of the quality of each process (i.e., the weighted sum of the finished quality levels 1 of each process in normal time duration).
From the above, corresponding 3 production work order optimal production scheme models can be respectively established, and the production work order optimal production scheme models are respectively as follows: cost model under construction period and quality constraint, construction period model under quality and cost constraint, quality model under construction period and cost constraint, the following formula:
the constraint conditions are respectively as follows:
and optimizing and calculating each multi-target comprehensive model by adopting a self-adaptive genetic algorithm, a particle swarm algorithm and the like. The method can respectively obtain the following steps: and obtaining three production influence factors, namely the shortest production period, the minimum production cost and the maximum quality, by the production work order scheme with the minimum cost under the condition of the construction period and the quality constraint, the production work order scheme with the minimum construction period under the condition of the quality constraint and the production work order scheme with the maximum quality under the condition of the construction period and the cost constraint.
In the case of emergency order in actual production, in the method for intelligently managing the production work order of the printed and packaged product according to the present invention, the step 500 further includes:
when the sales order is an emergency order, judging whether production equipment required to be used for producing the work order is occupied or not;
if the production work order is occupied, splitting the production work order into a plurality of sub-production work orders according to the idle production equipment;
and generating a scheduling plan according to the sub-production work orders.
Such as: when the gravure printing machine is occupied, the production work order of the printing process is split into two or three production work orders, and the two or three production work orders are produced by other equipment. At this time, an optimal production work order is selected according to the priority of the sales order, the cost and the delivery period.
When the sales order is partially produced, the occupied production equipment splits the production work order when finishing the last sales order, closes the finished part, generates a new production work order according to the unfinished quantity, and generates a scheduling plan.
In one embodiment, generating a scheduling plan from the production work order includes:
Acquiring current available inventory according to the production work order, and generating the production quantity required to be produced by the current production line according to the available inventory;
calculating material occupation data according to the production quantity;
generating a material demand plan according to the material occupation data;
generating a material purchase application form according to the material demand plan;
the material purchase request form is sent to a purchasing person, and the material purchase condition of the purchasing person is obtained;
and generating a scheduling plan according to the material purchasing condition.
In specific implementation, acquiring a current available inventory; performing purchase outsourcing according to the available inventory; scheduling production work orders; generating a material demand plan according to the available inventory and production work order scheduling; judging whether to purchase according to the material demand plan, if so, generating a purchase request form, and updating purchase data to available inventory by performing purchase commission according to the purchase request form. And generating a scheduling plan according to the material purchasing condition. The material purchase condition includes, but is not limited to, material purchase time, purchase quantity, purchase batch, and the like.
However, when the sales order is an emergency order, that is, the sum of the purchase time and the production cycle is smaller than the delivery period, the scheme of the present invention further includes:
Acquiring the quantity to be produced of the current production line according to the production work order;
calculating materials required by a sales order according to the quantity to be produced;
acquiring a current available inventory, and generating a material purchase order according to the available inventory;
when the sales order is an emergency order and the available stock materials are insufficient, searching for a replaceable material according to the material difference between the material plan and the stock required material, and generating a production scheduling plan by using the replaceable material;
when the stock alternative materials are insufficient, pushing a process change scheme according to the final effect of the printed and packaged products, and generating a scheduling plan through process change.
In particular, the inventory includes, but is not limited to: qualified free inventory, unqualified free inventory, purchased but unfinished inventory, and material occupancy data (i.e., occupied inventory to be used, occupied inventory to be released), among others, and also include the several inventory forms of replaceable materials described above.
When the available inventory is insufficient, the work orders are split into first work orders which can be produced by the available inventory, and second work orders of materials are required to be changed. In principle, the materials replaced by the second work order are materials with different properties, but for the second work order with low quality requirement level, the unqualified out-of-stock dead materials, other replaceable materials and the like in free stock can be considered to be used as appropriate.
Further, when no target material or alternative material exists and the work order is urgent and is not purchased, process change is generated according to the material required by the material purchase order, the feasibility of production and manufacture through the process change can be inverted according to the final effect of the product, a production scheduling plan is generated according to the process change, and the production of the work order is completed according to the required quality of the product through a process change mode.
According to the invention, the material purchasing time is saved by means of material change and/or process change. For example, when the production material is insufficient or the material quality problem occurs in the production of the work order, starting a material changing process: and calling other replaceable materials with similar attributes, and adjusting the materials through related processes to meet the production requirements.
Such as: when the spot color ink is not available, the four-color standard ink stored in the stock can be used for blending, or similar spot color ink of other products is called, and the production condition is met through the secondary ink blending method. When the paper is insufficient, other products can be called for material preparation, and then the other products are fed with material; for another example, when the printed package is produced, special laser paper is needed, if no finished laser paper exists, the transfer film can be called, and the transfer film is transferred to the white cardboard sheet to produce the laser paper by using the transfer equipment, so that the production requirement is met. For another example, when no gold foil is ironed, the product effect can be achieved by using a cold ironing process to perform a cold ironing process.
Specifically, the work order can be split according to the material allowance, the produced part before material change is closed, the unproductive part generates a new work order, the material is changed subsequently, and the production is continued after the change process.
In an alternative embodiment, in the present work order production, if the other work orders are obtained and the production is completed, there is a material balance condition and no product order corresponding to the other work orders is subsequently available, the material changing process is started: and calling the other work list residues to carry out production and use, at the moment, splitting the work list, closing the produced part before material change, and continuously producing the new work list generated by the unproductive part and changing the material subsequently.
When the work order is changed, the residual quantity of the replaced materials in the bill of materials reviewed before the work order is produced is automatically released as available stock, and the work order is automatically released from occupying materials. After the production of the work order is finished and quality inspection is passed, according to the quality, efficiency, profit and other conditions of the work order production after the material is changed, when the material meets the set conditions, the material is changed into permanent change, and the material is pushed to the technical department to update and maintain the bill of materials of the produced product.
Optionally, in the production of the work order, when a production quality problem occurs in a certain process, a process changing flow is started, the process with the quality problem is changed into other alternative processes or other processes are added for production, at this time, the work order can be split, a produced part is closed before the process is changed, a new work order is generated in an unproductive part, the process is changed or other processes are added for continuous production.
Specifically, the process change flow can also be embodied as the sequence adjustment of the process flow, which is a characteristic of the printing industry, because in the product printing production process, some process procedures can be mutually adjusted in sequence, so that the problems of low work order production efficiency or quality caused by the bottleneck of the productivity of a certain procedure can be solved. For example, the front and back two process steps are: printing, gilding, cold stamping, cold transferring, code spraying and the like, wherein the gilding, the cold stamping, the cold transferring, the code spraying and the like are all or the sequence is adjusted so as to meet the process requirements.
Optionally, when the production scheduling plan is generated according to the production work order for production scheduling, the method further comprises:
when the production is carried out according to the scheduling plan, if the production equipment is inserted by other emergency orders, splitting the production work order into a produced work order and an unproductive work order;
and timely scheduling the unproductive work orders.
When the sales order delivery date corresponding to the work order is not urgent or the produced part can be delivered first, and when the urgent order needs to be produced and delivered, the work order can be split and the produced part is closed, and the unproductive part generates a new work order and then is scheduled in time.
Further, the step S500 further includes:
when the production work order is marked as a new product or an old product exceeding a set difficulty level, acquiring new product production notice or old product production historical data;
and recommending corresponding production equipment captain during production scheduling, and pushing corresponding prenatal quality reminding to the production equipment captain.
In the field of printed and packaged products, many product productions have a positive relationship with the skill level and proficiency of the captain, and captain productions with high historical data efficiency and yield can be preferentially selected, so that the rejection rate is reduced, and delayed delivery is avoided. If the condition can not be met and other organizations are selected, the problem processing method and relevant attention points in the production of the historical orders are pushed to a new organization, and repeated problems are reduced.
Further, after the production work order is completed, the step S500 further includes:
when the work order is finished, judging whether the work order has supplementary printing or not;
when the offset is available, the problem procedure is analyzed, alarm information is output, and the solution is pushed to production equipment of the problem procedure.
The invention can judge whether the product has the offset phenomenon frequently, if so, the problem process is analyzed, the solution is recorded, when the same order is next time, the alarm information is output, and the solution is pushed to corresponding production equipment which causes the offset, so that the offset is avoided or reduced through the solution when the captain operates.
Furthermore, according to the historical number of the supplementary printing, when a new work order is produced, the output may need to increase the feeding quantity and the feeding quantity is added into the production work order so as to avoid the shortage of the work order.
When a sales order is acquired, the embodiment of the invention directly acquires inventory data, and when the inventory is insufficient, whether a production work order or a production procedure is required to be sent to other manufacturers for production or not can be automatically determined according to the production energy historical data of the production line, and a scheduling plan can be automatically generated according to the production work order, so that the production cost is reduced, and the production efficiency is improved.
The intelligent management method for the production work orders of the printed and packaged products is convenient and efficient to produce flexibly, is convenient for the whole process of product production to be traceable and the like, one sales order is divided into a plurality of production work orders, the plurality of sales orders are combined into one production work order, and in the later stage of work order production, the work orders can be divided/combined again according to actual conditions, and the flexibility is high.
It should be noted that, there is not necessarily a certain sequence between the steps, and those skilled in the art will understand that, in different embodiments, the steps may be performed in different orders, that is, may be performed in parallel, may be performed interchangeably, or the like.
Another embodiment of the present invention provides an intelligent management system for a production work order of a printed and packaged product, as shown in fig. 2, the system 1 includes:
the order analysis module 11 acquires sales order data, analyzes the sales order data and judges whether the sales order data is a new product or not;
the data processing module 12 is configured to obtain warehouse inventory data when the sales order data is an old product, perform quality inspection on the inventory data and deliver the product before the delivery period, or generate a production work order corresponding to the sales order according to the sales order data and the inventory data allowance when the inventory data is insufficient, where the production work order includes at least one production process; when the sales order data is a new product, a production process of the new product is formulated, and a corresponding production work order is generated according to the production process and the sales order data;
the data judging module 13 is configured to obtain capacity history data of a current production line, and judge whether an outgoing program is required to be executed for a current production work order or a production process according to the capacity history data, where the outgoing program refers to that the production work order or the production process is outgoing to an outgoing processor for production;
a first scheduling generation module 14, configured to generate a scheduling according to the production work order if the outbound procedure is not required to be executed;
And the second scheduling plan generating module 15 is configured to acquire a remaining production work order or production procedure after the outgoing procedure is executed if the outgoing procedure is required to be executed, and generate a scheduling plan according to the remaining production work order or production procedure.
The specific implementation is shown in the method embodiment, and will not be described herein.
Another embodiment of the present invention provides an electronic device, as shown in fig. 3, the electronic device 10 includes:
one or more processors 110 and a memory 120, one processor 110 being illustrated in fig. 3, the processors 110 and the memory 120 being coupled via a bus or other means, the bus coupling being illustrated in fig. 3.
The processor 110 is configured to implement various control logic of the electronic device 10, which may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single-chip microcomputer, ARM (Acorn RISC Machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware controls, or any combination of these components. Also, the processor 110 may be any conventional processor, microprocessor, or state machine. The processor 110 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The memory 120 is used as a non-volatile computer readable storage medium for storing non-volatile software programs, non-volatile computer executable programs, and modules, such as program instructions corresponding to the method for managing production work orders in the embodiment of the present invention. The processor 110 performs various functional applications of the apparatus 10 and data processing, i.e., implements the method of managing production work orders in the above-described method embodiments, by running non-volatile software programs, instructions, and units stored in the memory 120.
One or more units are stored in the memory 120 that, when executed by the one or more processors 110, perform the method of managing production work orders in any of the method embodiments described above, e.g., perform the method steps S100-S700 in fig. 1 described above.
Embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, e.g., to perform the method steps S100 through S700 of fig. 1 described above.
By way of example, nonvolatile storage media can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM may be available in many forms such as Synchronous RAM (SRAM), dynamic RAM, (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory controls or memories of the operating environment described herein are intended to comprise one or more of these and/or any other suitable types of memory.
Another embodiment of the present invention provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of managing production work orders of the method embodiments described above. For example, the above-described method steps S100 to S700 in fig. 1 are performed.
The embodiments described above are merely illustrative, wherein elements illustrated as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus a general purpose hardware platform, or may be implemented by hardware. Based on such understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the related art in the form of a software product, which may exist in a computer-readable storage medium such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer system (which may be a personal computer, a server, or a network system, etc.) to execute the method of the respective embodiments or some parts of the embodiments.
Conditional language such as "capable," "energy," "possible," or "may," among others, is generally intended to convey that a particular embodiment can include (but other embodiments do not include) particular features, elements, and/or operations unless specifically stated otherwise or otherwise understood within the context as used. Thus, such conditional language is also generally intended to imply that features, elements and/or operations are in any way required for one or more embodiments or that one or more embodiments must include logic for deciding, with or without input or prompting, whether these features, elements and/or operations are included or are to be performed in any particular embodiment.
What has been described herein in the specification and drawings includes examples of methods and systems that can provide for management of production work orders. It is, of course, not possible to describe every conceivable combination of components and/or methodologies for purposes of describing the various features of the present disclosure, but it may be appreciated that many further combinations and permutations of the disclosed features are possible. It is therefore evident that various modifications may be made thereto without departing from the scope or spirit of the disclosure. Further, or in the alternative, other embodiments of the disclosure may be apparent from consideration of the specification and drawings, and practice of the disclosure as presented herein. It is intended that the examples set forth in this specification and figures be considered illustrative in all respects as illustrative and not limiting. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Claims (10)
1. An intelligent management method for a production work order of a printed and packaged product, which is characterized by comprising the following steps:
A. acquiring sales order data, analyzing the sales order data, and judging whether the sales order data is a new product or not;
B. if the product is an old product, warehouse inventory data is obtained, quality inspection is carried out on the inventory data deliverable product, and the product is delivered before the delivery period;
C. when the inventory data is insufficient, generating a production work order corresponding to the sales order according to the sales order data and the inventory data allowance, wherein the production work order comprises at least one production procedure;
D. acquiring capacity historical data of a current production line, and judging whether a current production work order or a production procedure needs to execute an outgoing program according to the capacity historical data, wherein the outgoing program refers to that the production work order or the production procedure is outgoing to an outgoing processor for production;
E. if the outgoing program does not need to be executed, generating a scheduling plan according to the production work order;
F. if the outgoing program is required to be executed, acquiring a remaining production work order or production procedure after the outgoing program is executed, and generating a scheduling plan according to the remaining production work order or production procedure;
G. and if the product is a new product, making a production process of the new product, generating a corresponding production work order according to the production process and sales order data, and executing the step D.
2. The intelligent management method for production worksheets of printed and packaged products according to claim 1, wherein the step E comprises:
when the sales order is an emergency order, judging whether production equipment required to be used for producing the work order is occupied or not;
if the production work order is occupied, splitting the production work order into a plurality of sub-production work orders according to the idle production equipment;
and generating a scheduling plan according to the sub-production work orders.
3. The intelligent management method for production worksheets of printed and packaged products according to claim 1, wherein the step E comprises:
when the production work order is marked as a new product or an old product exceeding a set difficulty level, acquiring new product production notice or old product production historical data;
and recommending corresponding production equipment captain during production scheduling, and pushing corresponding prenatal quality reminding to the production equipment captain.
4. The intelligent management method for production worksheets of printed and packaged products according to claim 1, wherein in step E or F, when generating a scheduling plan, further comprising:
and presetting a scheduling influence factor, and selecting optimal scheduling conditions according to the scheduling influence factor.
5. The intelligent management method for production work orders of printed and packaged products according to claim 1, wherein the production influence factors are obtained by the following ways:
The constraint conditions are respectively as follows:
wherein C is cost, T is construction period, the quality is Q, i is working procedure, C 1,i For the process i cost, T 1,i For working procedure i, construction period, a 1,i A is a parameter of the degree of the change of the cost of the process i along with the progress of the construction period, and a 1,i ＞0，t 1,i C for optimum working period of procedure i 1，i For the lowest cost of process i, T 2，i To process i, Q 1，i For the process i mass, a 2，i For the parameter of the degree of the change of the working procedure i construction period along with the quality requirement, q 1，i For the most suitable quality of process i, t 2，i C for the most suitable construction period of the procedure i 2，i To process i cost, Q 2，i For the process i mass, a 3，i For the parameters of the degree of the change of the cost of the process i along with the quality requirement, q 2，i For the best quality of process i, c 2，i The cost is optimized for the process i.
6. The method for intelligently managing production worksheets of printed and packaged products according to claim 1, wherein the generating a scheduling plan according to the production worksheets comprises:
acquiring the quantity to be produced of the current production line according to the production work order;
calculating materials required by a sales order according to the quantity to be produced;
acquiring a current available inventory, and generating a material purchase order according to the available inventory;
when the sales order is an emergency order and the available stock materials are insufficient, searching for a replaceable material according to the material difference between the material plan and the stock required material, and generating a production scheduling plan by using the replaceable material;
When the stock alternative materials are insufficient, pushing a process change scheme according to the final effect of the printed and packaged products, and generating a scheduling plan through process change.
7. The intelligent management method for production worksheets of printed and packaged products according to claim 1, further comprising, after the step E:
when the work order is finished, judging whether the work order has supplementary printing or not;
when the offset is available, the problem procedure is analyzed, alarm information is output, and the solution is pushed to production equipment of the problem procedure.
8. An intelligent management system for a printed packaging product production work order, the system comprising:
the order analysis module is used for acquiring sales order data, analyzing the sales order data and judging whether the sales order data is a new product or not;
the data processing module is used for acquiring warehouse stock data when the sales order data is an old product, checking the quality of the stock data for the deliverable product, and delivering the product before the delivery period, or generating a production work order corresponding to the sales order according to the sales order data and the stock data allowance when the stock data is insufficient, wherein the production work order comprises at least one production procedure; when the sales order data is a new product, a production process of the new product is formulated, and a corresponding production work order is generated according to the production process and the sales order data;
The data judging module is used for acquiring capacity historical data of the current production line, judging whether the current production work order or the production procedure needs to execute an outgoing program according to the capacity historical data, wherein the outgoing program refers to that the production work order or the production procedure is sent to an outgoing processor for production;
the first scheduling plan generating module is used for generating a scheduling plan according to the production work order if the outgoing program does not need to be executed;
and the second scheduling plan generating module is used for acquiring the residual production work orders or production procedures after the outgoing procedure is executed if the outgoing procedure is required to be executed, and generating a scheduling plan according to the residual production work orders or production procedures.
9. An electronic device, comprising at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of managing production work orders of any one of claims 1-7.
10. A non-transitory computer-readable storage medium storing computer-executable instructions which, when executed by one or more processors, cause the one or more processors to perform the method of managing production work orders of any one of claims 1-7.
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| CN117171215A (en) * | 2023-10-08 | 2023-12-05 | 深圳硬之城信息技术有限公司 | Processing method, device, equipment and storage medium based on historical data |
| CN118278711A (en) * | 2024-06-03 | 2024-07-02 | 蒙娜丽莎集团股份有限公司 | Main production plan operation method, device, system and medium |
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| CN110264115A (en) * | 2019-07-30 | 2019-09-20 | 武汉湖江科技有限公司 | A kind of intelligence manufacture MES platform |
| CN111080145A (en) * | 2019-12-20 | 2020-04-28 | 南京同赢信息科技有限公司 | Method and device for realizing delivery of production orders based on billboard pulling |
| CN111191846B (en) * | 2019-12-31 | 2023-08-04 | 同济大学 | Oil cylinder product scheduling optimizing device facing complex customer customization demands |
| CN113344338B (en) * | 2021-05-14 | 2024-03-29 | 悠桦林信息科技(上海)有限公司 | Production scheduling method, system, equipment, medium and production scheduling management platform |
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| CN116757464A (en) * | 2023-08-17 | 2023-09-15 | 中科航迈数控软件(深圳)有限公司 | Production plan management method, system, equipment and readable storage medium |
| CN116757464B (en) * | 2023-08-17 | 2024-06-11 | 中科航迈数控软件(深圳)有限公司 | Production plan management method, system, equipment and readable storage medium |
| CN117171215A (en) * | 2023-10-08 | 2023-12-05 | 深圳硬之城信息技术有限公司 | Processing method, device, equipment and storage medium based on historical data |
| CN118278711A (en) * | 2024-06-03 | 2024-07-02 | 蒙娜丽莎集团股份有限公司 | Main production plan operation method, device, system and medium |
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