Clothing production enterprise intelligent production scheduling system and method

Abstract

The invention belongs to the technical field of intelligent production scheduling of clothing production enterprises, particularly relates to an intelligent production scheduling system and method for clothing production enterprises, and solves the technical problems of unreasonable resource allocation and difficulty in handling emergencies. The intelligent production scheduling system can perform priority analysis and sorting on clothing orders, preferentially process emergency orders, reasonably arrange production plans and reduce waiting time and resource waste in the production process, thereby improving the production efficiency and reducing the production cost. The unit resource allocation amount is calculated according to the clothing order information and the historical data, resources such as equipment, manpower and raw materials are reasonably allocated, idle or overuse of the resources is avoided, the utilization rate of the resources is improved, the production process is monitored in real time, and when the situation of production lag occurs, proper adjustment information can be selected from the historical data, so that the production efficiency is improved. The resources are redistributed and adjusted, and resource configuration is further optimized.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent production scheduling for clothing production enterprises, and specifically relates to an intelligent production scheduling system and method for clothing production enterprises. Background Art

[0002] In clothing manufacturing companies, efficient production scheduling is crucial to the survival and development of the company. With the diversification and personalization of market demand, factors such as the quantity, specifications and delivery date of clothing orders have become increasingly complex.

[0003] After searching, the patent with publication number CN114936900B discloses an intelligent production scheduling method for yarn textile enterprises, including the following steps: 1) determining the basic data of the order; 2) determining the allocation plan of the colored velvet raw materials; 3) collecting the production-related data of the production line: collecting equipment status data and product production status data, and forming a database, which is uploaded to the intelligent production scheduling system through the network; 4) automatic scheduling of plush yarn production: based on customer order requirements, coupling the colored velvet color allocation constraints and the real-time data of the equipment status and production status feedback of the production process, using genetic algorithms, and automatically generating a production schedule through the intelligent production scheduling system; 5) displaying and manually modifying the production scheduling schedule.

[0004] However, existing intelligent production scheduling systems often have problems such as unreasonable resource allocation and difficulty in responding to emergencies when in use. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent production scheduling system and method for a clothing manufacturing enterprise to solve the problems of unreasonable resource allocation and difficulty in coping with emergencies.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: An intelligent production scheduling system for a clothing manufacturing enterprise, comprising: An order adaptive analysis unit, used to analyze the priority of clothing orders according to the clothing order information transmitted by the production information acquisition unit, sort the clothing orders by calculating the priority values ​​and generate sorting information, and transmit the sorting information to the production intelligent monitoring unit; The production intelligent monitoring unit is used to formulate and analyze the production plan of the clothing order according to the obtained sorting information, obtain the historical data of the same type of production conditions based on the historical data, calculate the unit resource allocation, and calculate the allocation resources to generate the production plan based on the analysis object as the standard, make a lag judgment on the production plan according to the real-time production progress, and generate a normal monitoring signal and a production adjustment signal, and transmit the production adjustment signal to the real-time adjustment processing unit; The real-time adjustment processing unit is used to analyze the acquired production adjustment signal, determine the cause of the delay by analyzing similar situations in historical data, calculate the similarity values ​​corresponding to similar situations, select adjustment information based on the similarity values, and then transmit the adjustment information to the intelligent production scheduling information output unit.

[0007] As a further solution of the present invention: it also includes a production information acquisition unit and an intelligent production scheduling information output unit; A production information acquisition unit, used to acquire clothing order information and transmit the acquired clothing order information to the order adaptive analysis unit, wherein the clothing order information includes order quantity, clothing specifications and delivery date; Intelligent production scheduling information output unit is used to display the acquired normal monitoring signals and adjustment information.

[0008] As a further solution of the present invention: the specific way in which the order adaptive analysis unit calculates the priority value of the clothing order is: Get all clothing orders and label them as i, where i=1, 2, …, j, where j represents the number of clothing orders. At the same time, get the order quantity corresponding to clothing order i, labeled as Li, the delivery date Ti and the corresponding clothing specifications, and quantify the clothing specifications to obtain the clothing specification value Fi. The specific quantification method is as follows: Determine the type of clothing specification corresponding to clothing order i. If there is only one type of clothing specification, obtain the production time of the corresponding clothing specification, divide the production level according to the production data, and assign values ​​based on different production levels. The obtained values ​​are recorded as clothing specification values. If there are multiple types of clothing specifications, assign values ​​to different clothing specifications respectively, and calculate the average of the assigned values ​​to obtain the clothing specification value. Then substitute the obtained order quantity Li, delivery date Ti and clothing specification value Fi into the formula Qi=Li×a1+Ti×a2+Fi×a3 to calculate the priority value Qi corresponding to clothing order i, where a1, a2 and a3 are weight coefficients, and the specific values ​​are set by the operator; In this way, the priority values ​​of all clothing orders i are calculated, and the sorting information is generated by sorting them from large to small according to the priority value Qi, and the sorting information is transmitted to the production intelligent monitoring unit.

[0009] As a further solution of the present invention: the specific method in which the production intelligent monitoring unit formulates and analyzes the production plan of the clothing order is: Get the clothing order corresponding to the largest priority value Qi and mark it as the analysis object, then get the historical data, and at the same time get the historical data of the same type of production conditions based on the analysis object, and mark the acquired historical data as matching historical data, then get the resource allocation information in the matching historical data, and calculate the unit resource allocation amount according to the resource allocation information, and calculate the allocated resources according to the clothing order information corresponding to the analysis object, and generate a production plan according to the allocated resources, and perform real-time monitoring and analysis on the generated production plan.

[0010] As a further solution of the present invention: the specific method of the production intelligent monitoring unit to perform real-time monitoring and analysis on the production plan is: The production plan is obtained, and task segments are obtained by segmenting the production plan and marked as n, where n=1, 2, ..., m, where m represents the number of task segments. The real-time production progress of task segment n is then obtained, and the obtained real-time production progress is compared with a preset value. If the real-time production progress is less than the preset value, a production adjustment signal is generated. Otherwise, if the real-time production progress is greater than the preset value, a normal monitoring signal is generated. The production adjustment signal is then transmitted to the real-time adjustment processing unit, and the normal monitoring signal is transmitted to the intelligent production scheduling information output unit.

[0011] As a further solution of the present invention: the specific manner in which the real-time adjustment processing unit analyzes the production adjustment signal is: Obtain historical data, and at the same time obtain historical data of similar situations of the same type in the historical data based on the analysis object, and compare the corresponding allocation resources in the obtained historical data of the same type with the allocation resources of the analysis object one by one, and screen out the reasons for the lag; Based on the lag reasons, similar situations in historical data are obtained, and similar situations are marked as o, where o=1, 2, ..., p, where p represents the number of similar situations. Then, the production progress value So, resource utilization value Zo, and production quality value Go corresponding to the similar situations are obtained, and the obtained parameters are substituted into the formula The similarity value Do corresponding to the similar situation o is calculated, where , and are the weight coefficients of production progress value, resource utilization value and production quality value respectively, and + + =1, , and To adjust the parameters, the specific values ​​are set by the operator.

[0012] As a further solution of the present invention: the specific manner in which the real-time adjustment processing unit selects the adjustment information based on the similarity value is: The similarity situation corresponding to the maximum similarity value Do is selected as the selection criterion, and adjustment information is generated based on the adjustment method corresponding to the selection criterion, and the adjustment information is transmitted to the intelligent production scheduling information output unit.

[0013] An intelligent production scheduling method for a clothing manufacturing enterprise specifically comprises the following steps: Step 1: Get different clothing order information; Step 2: Calculate the priority value of the clothing order according to the order quantity, delivery date and clothing specifications corresponding to the clothing order, and select the clothing order with the largest priority value as the analysis object for analysis; Step 3: Based on historical data, obtain historical data of the same type of production conditions, calculate the unit resource allocation, and calculate the allocation resources to generate a production plan based on the analysis object; Step 4: Make a delayed judgment on the production plan based on the real-time production progress, and generate normal monitoring signals and production adjustment signals. For the production adjustment signals, analyze similar situations in historical data, calculate the similarity values ​​of similar situations, and select the similar situation with the largest similarity value to generate the selection standard, and then generate the adjustment information by adjusting the selection standard.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention can analyze and sort the clothing orders with priority through the intelligent production scheduling system, give priority to urgent orders, reasonably arrange production plans, reduce waiting time and resource waste in the production process, thereby improving production efficiency, calculate the unit resource allocation amount according to clothing order information and historical data, and reasonably allocate resources such as equipment, manpower and raw materials, avoid idle or excessive use of resources, improve resource utilization, monitor the production process in real time, and when production delays occur, select appropriate adjustment information from historical data, reallocate and adjust resources, and further optimize resource allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a principle block diagram of the system of the present invention; Figure 2 The figure is a flow chart of the steps of the method of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Embodiment 1 See also Figure 1 , an intelligent production scheduling system for a clothing manufacturing enterprise, comprising: a production information acquisition unit, an order adaptive analysis unit, a production intelligent monitoring unit, a real-time adjustment processing unit and an intelligent production scheduling information output unit, and combined with an attached Figure 1 It can be known that all the above functional units are connected by unidirectional wires.

[0018] A production information acquisition unit is used to acquire clothing order information and transmit the acquired clothing order information to the order adaptive analysis unit, wherein the clothing order information includes order quantity, clothing specifications (type) and delivery date.

[0019] The order adaptive analysis unit is used to analyze the priority of clothing orders according to the acquired clothing order information, and sort the clothing orders by calculating the priority values. The specific calculation method is as follows: Get all clothing orders and label them as i, where i=1, 2, …, j, where j represents the number of clothing orders. At the same time, get the order quantity corresponding to clothing order i, labeled as Li, the delivery date Ti and the corresponding clothing specifications, and quantify the clothing specifications to obtain the clothing specification value Fi. The specific quantification method is as follows: Determine the type of clothing specification corresponding to clothing order i. If the clothing specification is one, obtain the production time of the corresponding clothing specification, and divide the production level according to the production data, and assign values ​​based on different production levels. There are three production levels, namely simple, medium and difficult. The specific production level is determined by the style, color and style of clothing production. The specific level definition is set by the operator. At the same time, the values ​​corresponding to the three production levels are 1, 2 and 3 respectively. For example, the current clothing specification is difficult, and the further assignment is 3, and the obtained assignment is recorded as the clothing specification value; If there are multiple clothing specifications, different clothing specifications are assigned values ​​respectively, and the assigned value mean is calculated to obtain the clothing specification value; Then substitute the obtained order quantity Li, delivery date Ti and clothing specification value Fi into the formula Qi=Li×a1+Ti×a2+Fi×a3 to calculate the priority value Qi corresponding to clothing order i, wherein a1, a2 and a3 are weight coefficients, and the specific values ​​are set by the operator. In the present invention, a1, a2 and a3 are respectively taken as 0.3, 0.3 and 0.4, and so on, the priority values ​​of all clothing orders i are calculated, and the sorting information is generated by sorting from large to small according to the priority value Qi, and the sorting information is transmitted to the production intelligent monitoring unit.

[0020] The production intelligent monitoring unit is used to formulate and analyze the production plan of clothing orders based on the obtained sorting information, and the specific analysis method is as follows: Obtain the clothing order corresponding to the maximum priority value Qi, and mark it as the analysis object, then obtain historical data, and at the same time obtain historical data of the same type of production conditions based on the analysis object as the standard, and the same type of production conditions here are represented as corresponding clothing specifications, and mark the obtained historical data as matching historical data, then obtain resource allocation information in the matching historical data, and the resource allocation information here includes equipment allocation resources, manpower allocation resources and raw material allocation resources, and calculate the unit resource allocation amount according to the resource allocation information, and the specific calculation method is: obtain the order quantity corresponding to the resource allocation information, and use the equipment allocation resources, manpower allocation resources and raw material allocation resources to divide the order quantity to obtain the unit resource allocation quantity, and the unit resource allocation quantity here includes: equipment unit resource allocation quantity, manpower unit resource allocation quantity and raw material unit resource allocation quantity, and calculate the allocation resources according to the clothing order information corresponding to the analysis object, and the specific calculation method is: multiply the order quantity corresponding to the clothing order information in the analysis object by the unit resource allocation quantity to obtain the allocation resources, and generate a production plan according to the allocation resources, and perform real-time monitoring and analysis on the generated production plan; Obtain the production plan, and divide the production plan into task segments to obtain task segments, and mark them as n, where n=1, 2, ..., m, where m represents the number of task segments. Then obtain the real-time production progress of task segment n, and the production progress here is represented by the corresponding production volume. Compare the obtained real-time production progress with the preset value, and the preset value is the planned progress corresponding to task segment n, which is obtained according to the task segmentation and is calculated in advance. If the real-time production progress is less than the preset value, it means that there is a lag in task segment n, and a production adjustment signal is generated. On the contrary, if the real-time production progress is greater than the preset value, it means that there is no lag in the task segment, and a normal monitoring signal is generated. Then the production adjustment signal is transmitted to the real-time adjustment processing unit, and the normal monitoring signal is transmitted to the intelligent production scheduling information output unit.

[0021] The real-time adjustment processing unit is used to analyze the obtained production adjustment signal, determine the cause of the delay by analyzing similar situations in historical data, calculate the similarity value corresponding to the similar situation, and select the adjustment information based on the similarity value, and then transmit the adjustment information to the intelligent production scheduling information output unit. The specific process of generating the adjustment information is as follows: Obtain historical data, and at the same time, obtain historical data of similar situations of the same type in the historical data based on the analysis object, and the similar situations of the same type here indicate that the difference in the priority value of the corresponding clothing order is within the allowable range, and the specific value of the allowable range is set by the operator, and compare the corresponding allocation resources in the obtained historical data of the same type with the allocation resources of the analysis object one by one, and here it means comparing the equipment resources, human resources and raw material resources in the two accordingly, and screen out the reasons for the delay; Based on the cause of the delay, similar situations in the historical data are obtained, and the similar situations obtained here are expressed as historical data corresponding to the same cause of the delay. For example, if the cause of the delay is unreasonable allocation of equipment resources, the similar situation obtained is the adjustment of equipment resources. At the same time, the similar situation is marked as o, and o=1, 2, ..., p, where p represents the number of similar situations. Then, the production progress value So, resource utilization value Zo and production quality value Go corresponding to the similar situation are obtained, where the production progress value So represents the remaining time value after completing the order, and the resource utilization value represents the corresponding resource utilization rate, and the resource utilization rate is calculated as follows: utilized resources ÷ allocated resources = resource utilization rate, and the production quality value represents the corresponding defective product ratio in the production process. At the same time, the obtained parameters are substituted into the formula The similarity value Do corresponding to the similar situation o is calculated, where , and are the weight coefficients of production progress value, resource utilization value and production quality value respectively, and + + =1, , and To adjust the parameters, the specific values ​​are set by the operator; Then, the similarity situation corresponding to the maximum similarity value Do is selected as the selection criterion, and adjustment information is generated based on the adjustment method corresponding to the selection criterion, and the adjustment information is transmitted to the intelligent production scheduling information output unit.

[0022] Intelligent production scheduling information output unit, which is used to display the acquired adjustment information and normal monitoring information to the corresponding operators.

[0023] Embodiment 2 See also Figure 2 , an intelligent production scheduling method for a clothing manufacturing enterprise, specifically comprising the following steps: Step 1: Get different clothing order information; Step 2: Calculate the priority value of the clothing order according to the order quantity, delivery date and clothing specifications corresponding to the clothing order, and select the clothing order with the largest priority value as the analysis object for analysis. The specific calculation method of the priority value here is the same as the calculation process of the order adaptive analysis unit in Example 1; Step 3: Based on the historical data, historical data of the same type of production conditions are obtained, and the unit resource allocation is calculated, and the resource allocation is calculated based on the analysis object to generate a production plan. The method of generating the production plan here is the same as the processing method of the production intelligent monitoring unit in Example 1; Step 4: Make a delayed judgment on the production plan based on the real-time production progress, and generate normal monitoring signals and production adjustment signals. For the production adjustment signals, analyze similar situations in the historical data, calculate the similarity values ​​of similar situations, and select the similar situation with the largest similarity value to generate a selection standard. Then, generate adjustment information in an adjustment manner based on the selection standard. The method of generating the adjustment information here is the same as the processing method of the real-time adjustment processing unit in Example 1.

[0024] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0025] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent production scheduling system for a clothing manufacturing enterprise, characterized in that: include: An order adaptive analysis unit is used to analyze the priority of clothing orders according to the clothing order information transmitted by the production information acquisition unit, sort the clothing orders by calculating the priority values ​​and generate sorting information, and transmit the sorting information to the production intelligent monitoring unit; The production intelligent monitoring unit is used to formulate and analyze the production plan of the clothing order according to the obtained sorting information, obtain the historical data of the same type of production conditions based on the historical data, calculate the unit resource allocation, and calculate the allocation resources to generate the production plan based on the analysis object as the standard, make a lag judgment on the production plan according to the real-time production progress, and generate a normal monitoring signal and a production adjustment signal, and transmit the production adjustment signal to the real-time adjustment processing unit; The real-time adjustment processing unit is used to analyze the acquired production adjustment signal, determine the cause of the delay by analyzing similar situations in historical data, calculate the similarity values ​​corresponding to similar situations, select adjustment information based on the similarity values, and then transmit the adjustment information to the intelligent production scheduling information output unit.

2. According to claim 1, the intelligent production scheduling system for a clothing manufacturing enterprise is characterized in that: It also includes a production information acquisition unit and an intelligent production scheduling information output unit; A production information acquisition unit, used to acquire clothing order information and transmit the acquired clothing order information to the order adaptive analysis unit, wherein the clothing order information includes order quantity, clothing specifications and delivery date; Intelligent production scheduling information output unit is used to display the acquired normal monitoring signals and adjustment information.

3. The intelligent production scheduling system for a clothing manufacturing enterprise according to claim 1 is characterized in that: The specific method of calculating the priority value of the clothing order by the order adaptive analysis unit is: Get all clothing orders and label them as i, where i=1, 2, …, j, where j represents the number of clothing orders. At the same time, get the order quantity corresponding to clothing order i, labeled as Li, the delivery date Ti and the corresponding clothing specifications, and quantify the clothing specifications to obtain the clothing specification value Fi. The specific quantification method is as follows: Determine the type of clothing specification corresponding to clothing order i. If there is only one type of clothing specification, obtain the production time of the corresponding clothing specification, divide the production level according to the production data, and assign values ​​based on different production levels. The obtained values ​​are recorded as clothing specification values. If there are multiple types of clothing specifications, assign values ​​to different clothing specifications respectively, and calculate the average of the assigned values ​​to obtain the clothing specification value. Then substitute the obtained order quantity Li, delivery date Ti and clothing specification value Fi into the formula Qi=Li×a1+Ti×a2+Fi×a3 to calculate the priority value Qi corresponding to clothing order i, where a1, a2 and a3 are weight coefficients, and the specific values ​​are set by the operator; In this way, the priority values ​​of all clothing orders i are calculated, and the sorting information is generated by sorting them from large to small according to the priority value Qi, and the sorting information is transmitted to the production intelligent monitoring unit.

4. The intelligent production scheduling system for a clothing manufacturing enterprise according to claim 1 is characterized in that: The specific method in which the production intelligent monitoring unit formulates and analyzes the production plan of the clothing order is: Get the clothing order corresponding to the largest priority value Qi and mark it as the analysis object, then get the historical data, and at the same time get the historical data of the same type of production conditions based on the analysis object, and mark the acquired historical data as matching historical data, then get the resource allocation information in the matching historical data, and calculate the unit resource allocation amount according to the resource allocation information, and calculate the allocated resources according to the clothing order information corresponding to the analysis object, and generate a production plan according to the allocated resources, and perform real-time monitoring and analysis on the generated production plan.

5. The intelligent production scheduling system for a clothing manufacturing enterprise according to claim 1 is characterized in that: The specific method of the production intelligent monitoring unit to perform real-time monitoring and analysis on the production plan is: The production plan is obtained, and task segments are obtained by segmenting the production plan and marked as n, where n=1, 2, ..., m, where m represents the number of task segments. The real-time production progress of task segment n is then obtained, and the obtained real-time production progress is compared with a preset value. If the real-time production progress is less than the preset value, a production adjustment signal is generated. Otherwise, if the real-time production progress is greater than the preset value, a normal monitoring signal is generated. The production adjustment signal is then transmitted to the real-time adjustment processing unit, and the normal monitoring signal is transmitted to the intelligent production scheduling information output unit.

6. The intelligent production scheduling system for a clothing manufacturing enterprise according to claim 1 is characterized in that: The specific method in which the real-time adjustment processing unit analyzes the production adjustment signal is: Obtain historical data, and at the same time obtain historical data of similar situations of the same type in the historical data based on the analysis object, and compare the corresponding allocation resources in the obtained historical data of the same type with the allocation resources of the analysis object one by one, and screen out the reasons for the lag; Based on the lag reasons, similar situations in historical data are obtained, and similar situations are marked as o, where o=1, 2, ..., p, where p represents the number of similar situations. Then, the production progress value So, resource utilization value Zo, and production quality value Go corresponding to the similar situations are obtained, and the obtained parameters are substituted into the formula The similarity value Do corresponding to the similar situation o is calculated, where , and are the weight coefficients of production progress value, resource utilization value and production quality value respectively, and + + =1, , and To adjust the parameters, the specific values ​​are set by the operator.

7. The intelligent production scheduling system for a clothing manufacturing enterprise according to claim 1 is characterized in that: The specific method in which the real-time adjustment processing unit selects adjustment information based on the similarity value is: The similarity situation corresponding to the maximum similarity value Do is selected as the selection criterion, and adjustment information is generated based on the adjustment method corresponding to the selection criterion, and the adjustment information is transmitted to the intelligent production scheduling information output unit.

8. An intelligent production scheduling method for a clothing manufacturing enterprise, used to execute an intelligent production scheduling system for a clothing manufacturing enterprise according to any one of claims 1 to 7, characterized in that: The specific steps include: Step 1: Get different clothing order information; Step 2: Calculate the priority value of the clothing order according to the order quantity, delivery date and clothing specifications corresponding to the clothing order, and select the clothing order with the largest priority value as the analysis object for analysis; Step 3: Based on historical data, obtain historical data of the same type of production conditions, calculate the unit resource allocation, and calculate the allocation resources to generate a production plan based on the analysis object; Step 4: Make a delayed judgment on the production plan based on the real-time production progress, and generate normal monitoring signals and production adjustment signals. For the production adjustment signals, analyze similar situations in historical data, calculate the similarity values ​​of similar situations, and select the similar situation with the largest similarity value to generate the selection standard, and then generate the adjustment information by adjusting the selection standard.

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