CN117371944A - Digital management system and method for clothing workshop - Google Patents
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Abstract
The invention relates to the technical field of digital management, in particular to a digital management system and method for a clothing workshop. The digital management system of the clothing workshop comprises: and the task content acquisition module is used for acquiring the product type, the product quantity, the quality requirement and the product delivery time of the current production order. And the clothing amount analysis module is used for analyzing and obtaining clothing amount according to the information such as the product type, the product number, the quality requirement and the like. And the production line analysis module is used for calculating and obtaining the processing capacity value and the work empty quantity of the production line. And the task capacity judging module is used for judging whether the current clothing production workload is larger than the available workload, if not, determining that the current clothing production workload is beyond the capacity range, and negotiating the delivery time. According to the invention, the clothing working capacity is obtained by considering the product types and the product quantity, and the clothing working capacity is compared with the connectable working capacity, so that the intelligent and digital management can be realized by evaluating according to the conditions of personnel.
Description
Technical Field
The invention relates to the technical field of digital management, in particular to a digital management system and method for a clothing workshop.
Background
Digital management refers to improving enterprise management efficiency and decision level through information technology and data analysis. As the digitization degree of enterprises increases, digital management has become an important means for increasing the competitiveness of enterprises. The following is the latest development direction of current digital management:
cloud computing: cloud computing technology provides an elastic, reliable, secure, efficient computing environment and service for enterprises. Through cloud computing, enterprises can realize large-scale data processing, storage and analysis, so that decision-making efficiency and business innovation capability are improved. Big data and artificial intelligence: the big data technology provides massive and diversified data resources for enterprises, and can help the enterprises to mine the rules and the values of the data. Through artificial intelligence technology, enterprises can realize data mining, analysis and prediction, so that decision level and business innovation capability of the enterprises are improved. The Internet of things: the technology of the internet of things connects physical devices through the sensor and the internet, and data exchange and information sharing among the devices are realized. Through the internet of things, enterprises can realize equipment automation, intellectualization and remote monitoring, so that the operation efficiency and reliability of equipment are improved. Blockchain: the block chain technology has the advantages of decentralization, safety, reliability, transparency, fairness and the like, and can realize safe sharing and collaborative work of data in enterprises. Through the block chain, the enterprise can realize the sharing and the cooperation of the business data, and the decision-making efficiency and the business innovation capability of the enterprise are improved. 5G network: the wide application of 5G networks will provide high speed, low latency, high reliability network connections for enterprises, facilitating large scale data processing, storage and analysis for enterprises. Through the 5G network, the enterprise can realize real-time data processing and analysis, and the decision-making efficiency and the business innovation capability of the enterprise are improved. Edge calculation: the edge computing technology can reduce the delay and bandwidth occupation of data transmission and improve the application performance and user experience of enterprises by providing computing and storage services on the network edge side. Through edge computing, enterprises can realize application quick response and high-performance computing, and decision making efficiency and business innovation capability of the enterprises are improved.
The clothing shop refers to a shop that converts an order production plan into production reality. The garment shop typically includes the following links: making a production plan: and (3) making a production plan according to the order demand, wherein the production plan comprises production time, production quantity, production batch and the like. Scheduling: and arranging production workers according to the production plan, and determining the working time of each worker. Preparing materials: according to the production plan, materials required for production are prepared, including raw materials, products in process, finished products and the like. And (3) operation production: and executing each link in the production process according to the production plan, and ensuring the production progress and the product quality. Checking the quality of the product: in the production process, the quality of the product is checked, and the quality standard is ensured to be met. The product is finished: after the production is finished, the products are packaged and marked, links such as logistics are arranged, and smooth delivery of the products is ensured. The garment shop requires highly automated and standardized operation procedures to improve production efficiency and product quality. Along with the application of artificial intelligence and big data technology, the clothing workshop can realize the intellectualization and the automation of the production process, improves the competitiveness and the operation efficiency of enterprises.
The existing clothing company production task has certain seasonality, the production task is very busy in the busy season of orders, and in the new order taking process, the production capacity and the workload cannot be evaluated digitally, so that the order taking is difficult.
Disclosure of Invention
In order to solve the technical problems, the invention provides a digital management system of a clothing workshop, which is used for carrying out digital and intelligent management on tasks of the clothing workshop and completing intelligent pre-judgment of orders, and the digital management system of the clothing workshop comprises the following components:
and the task content acquisition module is used for acquiring information such as the product type, the product quantity, the quality requirement, the product delivery time and the like of the current production order. The product information such as the product type, the product quantity and the product delivery time can be obtained from a product task list, a client intention, a contract and the like, and can be filled in manually according to order information. The information of the product type, the product number and the product delivery time is filled into the corresponding form columns, so that the information of the product type, the product number and the product delivery time is obtained, and of course, not only the information may be filled in actual production, but also the information of the product quality requirement, the customer name, the product style information and the like may be included, and detailed description is omitted herein. On the interface of the digitalized management system of the clothing workshop, the filling information names and the information contents corresponding to the names of the information are available, the commonly used filling content information can be selected through a drop-down menu, and the not-used content information can be filled through manual input, so that details are not repeated here.
And the clothing amount analysis module is used for analyzing and obtaining clothing amount G according to the information such as the product type, the product number, the quality requirement and the like.
And the production line state analysis module is used for calculating and obtaining the processing capacity value J and the work empty quantity S of the production line. The processing capacity value J is the capacity of the production line to finish products, and the production line is the capacity of finishing the work capacity in unit time.
The task capacity judging module judges whether the current clothing work load G is larger than the connectable work load K, if not, the receiving order is carried out, if so, the receiving order is determined to be out of the capacity range, and the delivery time is negotiated.
Preferably: the clothing working amount g=nαβ+b 0 +B 1 C, wherein N is the number of products, alpha is the difficulty processing coefficient of the product type, and can be set according to actual conditions; beta is the difficulty of quality requirement, B 0 To be new equipment difficulty, B 1 For the new process difficulty, C is a batch saving value.
Preferably: product type difficulty processing coefficientWherein A is m Is a processing flow parameter factor, wherein m is a processing flow parameter factor sequencing number. And by a process flow parameter factor A m Calculating to obtain a model difficulty processing coefficient alpha, wherein the processing flow parameter factor A m Is a processing flow parameter factor corresponding to each procedure in the clothing manufacturing process. The actual processing procedures in the clothes making workshop are quite many, and the processing procedures of different products or different types of products are also different.
Preferably: the work flow parameter factors comprise a material input factory inspection work flow parameter factor, a tailoring work flow parameter factor, a sewing work flow parameter factor, a buttonhole button sewing work flow parameter factor, an ironing work flow parameter factor, a garment inspection work flow parameter factor and a packaging and warehousing work flow parameter factor.
Preferably: material factory entry inspection processing flow parameter factorWherein i is the sorting number of the object type processing materials, s i For checking the workload of the whole material, y i Is the usage amount of the unit product material, L i Is the whole material quantity.
Preferably: cutting process flow parameter factorWherein k is the number of a ready-made clothes cloth, j is the number of the edge of the cloth with k, and ∈>The length of the j-numbered edge of the k-numbered panel, gamma 1 Is the cutting difficulty of the unit edge part, M k For the number of cloth edges numbered k, < >>The conversion scale factor is tailored for the number of bends.
Preferably: parameter factor of sewing processWherein, gamma 2 Difficulty in sewing unit edge part>The conversion scale factor is sewn for the number of bends.
Preferably: workability valueWherein I is the work load completed in one evaluation time period, and T is the evaluationThe time period working time period, the evaluation time period can be week, month, quarter and the like, wherein the month is the most appropriate.
Preferably: the method for obtaining the operation empty quantity S comprises the following steps: the accepted work amount A of the work unit is counted from the time of product distribution to the time of product delivery, and the work saturation S=J (T i -T o ) η -A, where T 0 Dispensing time for product, T i For the delivery time of the product, eta is a capacity adjustment factor, is the proportion of the receiving party of the processing capacity value, and popular points are that the processing capacity value lifting proportion is improved by means of overtime and the like in a normal working state.
Preferably: the work amount k=μs, where μ is the order buffer level, and the main influence is the importance level and the abnormal deviation of the order, and μ generally takes a value of 0.8-1.
The invention also provides a digital management method of the clothing workshop, which comprises the following steps:
s1, acquiring the product type, the product quantity, the quality requirement and the product delivery time of a current production order;
s2, analyzing according to the information such as the product type, the product quantity, the quality requirement and the like to obtain the clothing working quantity G.
And S3, calculating to obtain a processing capacity value J and an operation empty quantity S of the production line.
S4, judging whether the current clothing work load G is larger than the connectable work load K, if not, receiving a bill, and if so, determining that the capacity range is exceeded, and negotiating the delivery time.
The invention has the technical effects and advantages that: the clothing-making workload G is obtained by considering the calculation of the product types and the product quantity, and is compared with the receivable workload K, so that the clothing-making workload G can be evaluated according to the conditions of personnel, the working state of the personnel, the complex weight of the task and the like are fully considered, intelligent evaluation can be performed, the situation that the order is expected to be completed is quickly obtained, the problems of loss and reputation caused by the fact that the order cannot be completed due to blind order receiving can be avoided, and intelligent and digital management is realized.
Drawings
Fig. 1 is a block diagram of a digital management system for a clothing workshop according to the present invention.
Fig. 2 is a flowchart of a digital management method for a clothing workshop according to the present invention.
Detailed Description
The invention will be described in further detail with reference to the drawings and the detailed description. The embodiments of the invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Example 1
Referring to fig. 1, in this embodiment, a digitalized management system for a clothing workshop is provided, which is used for digitalized and intelligent management of tasks of the clothing workshop and intelligent pre-judgment of orders, and the digitalized management system for the clothing workshop includes:
and the task content acquisition module is used for acquiring information such as the product type, the product quantity, the quality requirement, the product delivery time and the like of the current production order. The product information such as the product type, the product quantity and the product delivery time can be obtained from the files such as the product task list, the client intention or the contract, and can be filled in manually according to the order information. The information of the product type, the product number and the product delivery time is filled into the corresponding form columns, so that the information of the product type, the product number and the product delivery time is obtained, and of course, not only the information may be filled in actual production, but also client names, product style information and the like may be included, and detailed description is omitted herein. On the interface of the digitalized management system of the clothing workshop, the filling information names and the information contents corresponding to the names of the information are available, the commonly used filling content information can be selected through a drop-down menu, and the not-used content information can be filled through manual input, so that details are not repeated here.
And the clothing amount analysis module is used for analyzing and obtaining clothing amount G according to the information such as the product type, the product number, the quality requirement and the like. Specifically, the clothing work amount g=nαβ+b may be as described above 0 +B 1 -C, wherein N is the number of products, where the number may be a processing unit, may be a product batch, a set of products, a product, etc.; the alpha is a product type difficulty processing coefficient, can be set according to actual conditions, takes staff with various types of product processing experience as an investigation object, and is obtained by speculation according to actual experience values; beta is the difficulty of quality requirement, generally is a quality requirement, and the value of beta is 1; b (B) 0 B is the difficulty of the new equipment, and under the condition of not adding the new equipment 0 0, if new equipment needs to be added according to actual conditions, details are not repeated here; b (B) 1 B is the difficulty of the new process without adding the new process 1 0, in the case of a small amount of process change, according to practical situations, since the process is not the subject of the present application, detailed description is omitted herein; the value of C is a batch saving value, which relates to the man-hour reduced in batch production of the production line, generally needs to consider the conversion capability of the production line, relates to the number of products, and can be obtained by making an information table in stages in the specific production process. By taking a product type difficulty processing coefficient as an example for analysis, short sleeve processing is easy, the product type difficulty coefficient can be set to be 1, the difficulty of the jacket in the processing process is high, the jacket can be manually set to be 10 and the like, a specific numerical value can be manufactured according to the experience of workers with processing experiences of all product types, a product type-difficulty processing coefficient information table can be manufactured according to the experience, and the product type-difficulty processing coefficient information table can be input and then searched, so that the product type difficulty processing coefficient corresponding to the product type can be obtained. Of course, the product type difficulty processing coefficient can also be obtained by calculation, and specifically can comprise a processing flow parameter factor A m Wherein m is the sequence number of the process flow parameter factor sequencing. And pass throughProcess flow parameter factor A m Calculating to obtain a model difficulty processing coefficient alpha, whereinThe processing flow parameter factor A m Is a processing flow parameter factor corresponding to each procedure in the clothing manufacturing process. The actual processing procedures in the clothes making workshop are quite many, and the processing procedures of different products or different types of products are also different. The general basic technological process of clothing production comprises seven procedures of cloth material in-plant inspection, cutting, sewing, button sewing, ironing, clothing inspection, packaging and warehousing. The inspection of the material distribution in factories is to check the quantity, appearance and internal quality after the material distribution is in factories, and the material distribution can be put into production and used only when meeting the production requirements. The quality of the good fabric is an important circle for controlling the quality of the finished product. The qualification rate of the clothing can be effectively improved through checking and measuring the fabric entering the factory. The material inspection comprises the shrinkage of the elastic band, the bonding fastness of the bonding liner, the smoothness of the zipper and the like. And the materials which cannot meet the requirements are not put into production for use. The processing flow parameter factor A of the material distribution material factory entry inspection 1 The method can be related to the usage amount of each article, and the material distribution material in-plant inspection has smaller numerical value compared with other processing procedures, generally, the method calculates the proportion of the inspection formula of the usage amount of each material>Wherein i is the sorting number of the object type processing materials, s i For checking the workload of the whole material, y i Is the usage amount of the unit product material, L i Is the whole material quantity. For example, in the processing process of a jacket, two kinds of cloth are required to be respectively 0.5m and three zippers and the like, the workload required by the in-factory inspection of all cloth materials can be flattened to each unit material, for example, one batch of cloth (100 m) is input into a factory, the in-factory inspection of the cloth materials takes 2h, one batch of zippers is 1000, the in-factory inspection of the zippers takes 1h, and the required processing flow parameter factor A of the in-factory inspection of the materials is obtained 1 2/100×0.5×2+1/1000×3=0.02+0.003=0.023. Of course, general garment processing is not so simple, and only simple matters are taken as examples. The cutting is to cut the whole piece of cloth into cloth pieces with required shapes, and a discharging diagram is drawn according to a template before cutting, wherein 'complete, reasonable and saving' is a basic principle of discharging. The cutting process parameter factor is related to the cutting edge length and the edge length number, and the specific process parameter factor can beWherein k is the number of a ready-made clothes cloth, j is the number of the edge of the cloth with k, and ∈>The length of the j-numbered edge of the k-numbered panel, gamma 1 The cutting difficulty of the unit edge can be obtained through experience or statistics when the average unit cutting length of production line staff consumes time, and is not described in detail here, M k For the number of cloth edges numbered k, < >>The more the number of edges, the more difficult, but not necessarily, the more difficult it is to cut the bending number, and the more the bending number is, the more the cutting is required for a type of product, so that the data can be obtained by looking up a pre-made information table through the type of product, and the rest of the parameters of the processing flow are not described in detail herein. The sewing is a central process of clothing processing, and the sewing of clothing can be divided into two types of machine sewing and manual sewing according to styles, art styles and the like. And carrying out line production in the sewing process. In the general processing, the sewing and cutting are related to the length and the number of the edges, so A 3 ＝εA 2 Wherein epsilon is a sewing conversion factor, and the conversion ratio of two working procedures to time is generally 2-3, and the actual situation is required. Or->Wherein, gamma 2 Difficulty in sewing unit edge part>The numerical value of the conversion scaling factor is determined according to the actual situation, and is not the subject of the present application, and will not be described herein. The buttonhole is a buttonhole and a buttonhole in clothing are usually machined, and the buttonhole is divided into a flat hole and an eye hole according to the shape of the buttonhole, and is commonly called a sleeping hole and a pigeon hole. The sleeping hole is often used for thin cloth products such as shirts, skirts, trousers and the like. Pigeon eyelets are often used on outer garments of thick fabrics such as jackets and western-style clothes. Processing flow parameter factor A of buttonhole nail 4 Other effects related to the number thereof are not considered, and detailed description thereof is omitted herein. Ironing is to make the appearance of the garment smooth and the size accurate by ironing. When ironing, a lining board is sleeved in the garment to keep a certain shape and specification of the product, the size of the lining board is slightly larger than that required by the garment, so that the specification is too small after retraction, the ironing temperature is generally controlled between 180 ℃ and 200 ℃ and is safer, and yellowing and coking are not easy to occur. Its processing flow parameter factor A 5 Other effects related to the area and the side length are not considered, and detailed description is omitted here. Garment inspection is the last process of putting garments into the sales market, and plays a significant role in the garment production process. Garment inspection is an important link in the garment enterprise management chain, as there are many aspects to the factors that affect garment inspection quality. The correct inspection is important, quality inspection refers to the measurement, inspection, testing, and measurement of one or more characteristics of a product or service by some means, and comparing these measurements to a rating scale to determine the quality of each product or service, and whether the batch of the entire product or service is acceptable or not. The properties of the product produced will be irregular compared with the required quality, with a certain gap. For this gap, the inspector needs to determine whether the product is qualified or not according to a certain standard. The standard that is generally performed is that a gap that falls within the allowable range is determined to be a good, and a gap that falls outside the allowable range is determined to be a bad. Processing thereofFlow parameter factor A 6 Regarding the number of inspection points, the number of inspection points required by the same quality of each product type is the same, so we default that the parameters of the garment inspection process flow of each product type are fixed, and other influence values are not considered, and detailed description is omitted here. Packaging and warehousing can be divided into hanging packaging and box packaging. The boxes are generally divided into an inner package and an outer package. The inner package means that one or a plurality of pieces of clothing is/are filled into a rubber bag, the money number and the size of the clothing are consistent with the marks on the rubber bag, the packaging is required to be smooth and beautiful, and some special types of clothing need to be specially treated during packaging. For example, wrinkled garments are packaged in a twisted roll to maintain their styling style. The outer package is generally packaged by a paper box, and the size and color matching is carried out according to the requirements of customers or instructions of a process bill. The package form is generally provided with four types of color mixing codes, single-color single codes, single-color mixing codes and color mixing single codes. The number of the boxes should be complete, and the color and size matching is prepared without errors. The outer box is brushed with the box, customers, finger ports, box numbers, quantity, places of origin and the like are marked, and the content is matched with the actual goods. Packaging and warehousing processing flow parameter factor A 7 Regarding the type of package, the process flow parameter factor of the package is the same for each package type by default, and detailed description thereof will be omitted. By evaluating each process and the components of each process, the workload of clothes making can be judged more accurately, and the later-stage pre-judgment is more accurate.
And the production line state analysis module is used for calculating and obtaining the processing capacity value J and the work empty quantity S of the production line. The processing capacity value J is the capacity of the production line to finish products, the production line is the capacity of finishing the work capacity in unit time, and a specific calculation method can be as followsI is the work load completed in one evaluation time period, T is the working time of the evaluation time period, and the evaluation time period can be week, month, quarter and the like, wherein the month is most proper, for example, during a certain month, the outdoor jacket processed in a certain production line is 5000 pieces, the working day in the month is 21 days, and the processing capacity value is->The calculation mode is set according to the calculation condition, and month updating can be performed. The method for obtaining the operation empty quantity S comprises the following steps: the accepted work amount A of the work unit is counted from the time of product distribution to the time of product delivery, and the work saturation S=J (T i -T o ) eta-A, where T 0 Dispensing time for product, T i For the delivery time of the product, eta is a capacity adjustment factor, is the proportion of the receiving party of the processing capacity value, and popular points are that the processing capacity value lifting proportion is improved by means of overtime and the like in a normal working state. For example, the accepted work amount of 10 months for one work unit is 1000, the work day of 10 months is 18 days, η is 1.2 (refer to the actual work situation), and s=283×18×1.2 to 1000=4143. Here, the amount of work is simply calculated, where the piece is simply replaced, and not all amounts of work are simply pieces, depending on practical considerations. Of course, it can also be calculated by other methods, which are not listed here.
The task capacity judging module judges whether the current clothing work load G is larger than the connectable work load K, if not, the receiving order is carried out, if so, the receiving order is determined to be out of the capacity range, and the delivery time is negotiated. The connectable workload k=μs, where μ is the order buffering degree, and is mainly affected by the importance degree and the abnormal deviation of the order, where μ is generally 0.8-1, and the current clothing workload G and the connectable workload K are evaluation values of the same magnitude, which may be a processable product quantity or a corresponding working hour quantity, and specifically depends on the actual situation. For example, receiving an order, the reduced clothing workload G is 2000, the order has moderate importance, mu is 0.9, and the current clothing workload 2000 is determined to be smaller than the receivable workload 3728, then the order can be received. The clothing-making workload G is obtained by considering the calculation of the product types and the product quantity, and is compared with the receivable workload K, so that the clothing-making workload G can be evaluated according to the conditions of personnel, the working state of the personnel, the complex weight of the task and the like are fully considered, intelligent evaluation can be performed, the situation that the order is expected to be completed is quickly obtained, the problems of loss and reputation caused by the fact that the order cannot be completed due to blind order receiving can be avoided, and intelligent and digital management is realized.
Example 2
Referring to fig. 2, in this embodiment, a digital management method for a garment workshop is provided, including the following steps:
s1, acquiring the product type, the product quantity, the quality requirement and the product delivery time of a current production order;
s2, analyzing according to the information such as the product type, the product quantity, the quality requirement and the like to obtain the clothing working quantity G.
And S3, calculating to obtain a processing capacity value J and an operation empty quantity S of the production line.
S4, judging whether the current clothing work load G is larger than the connectable work load K, if not, receiving a bill, and if so, determining that the capacity range is exceeded, and negotiating the delivery time.
It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art and which are included in the embodiments of the present invention without the inventive step, are intended to be within the scope of the present invention. Structures, devices and methods of operation not specifically described and illustrated herein, unless otherwise indicated and limited, are implemented according to conventional means in the art.
Claims (10)
1. The utility model provides a clothing workshop digital management system which characterized in that, clothing workshop digital management system includes:
the task content acquisition module is used for acquiring the product type, the product quantity, the quality requirement and the product delivery time of the current production order;
the clothing amount analysis module is used for analyzing according to the product types, the product quantity and the quality requirements to obtain clothing work amount G;
the production line analysis module is used for calculating and obtaining a processing capacity value J and a work empty quantity S of the production line;
and the task capacity judging module is used for judging whether the current clothing working capacity G is larger than the receivable working capacity K, if not, receiving a bill, and if so, judging that the capacity is out of the capacity range, and negotiating the delivery time.
2. The digitized management system for a clothing manufacturing shop according to claim 1, wherein the clothing manufacturing workload g=nαβ+b 0 +B 1 C, wherein N is the number of products, alpha is the product type difficulty processing coefficient, beta is the quality requirement difficulty, and B 0 To be new equipment difficulty, B 1 For the new process difficulty, C is a batch saving value.
3. The garment workshop digital management system of claim 2, wherein the product type difficulty processing coefficients areWherein A is m And m is the sequence number of the processing flow parameter factors.
4. A garment shop digital management system according to claim 3, wherein the process flow parameter factors include a material in-plant inspection process flow parameter factor, a clipping process flow parameter factor, a sewing process flow parameter factor, a buttonhole button process flow parameter factor, an ironing process flow parameter factor, a garment inspection process flow parameter factor, and a packaging and warehousing process flow parameter factor.
5. The system of claim 4, wherein the material factory entry test process parameter factorsWherein i is the sorting number of the object type processing materials, s i Checking the workload for the whole material，y i Is the usage amount of the unit product material, L i Is the whole material quantity.
6. The system of claim 4, wherein the process flow parameter factors are tailored to the process plantWherein k is the number of a ready-made clothes cloth, j is the number of the edge of the cloth with k, and ∈>The length of the j-numbered edge of the k-numbered panel, gamma 1 Is the cutting difficulty of the unit edge part, M k For the number of cloth edges numbered k, < >>The conversion scale factor is tailored for the number of bends.
7. The garment workshop digital management system of claim 4, wherein the sewing process parameter factorsWherein, gamma 2 Difficulty in sewing unit edge part>The conversion scale factor is sewn for the number of bends.
8. The garment workshop digital management system of claim 1, wherein the process capability value isWherein I is the work load completed in one evaluation time period, and T is the working time length of the evaluation time period.
9. The digitized management system of a clothing workshop according to claim 1, wherein the method for obtaining the work empty quantity S comprises: the accepted work amount A of the work unit is counted from the time of product distribution to the time of product delivery, and the work saturation S=J (T i -T o ) η -A, where T 0 Dispensing time for product, T i For the time of delivery of the product, η is the capacity adjustment factor.
10. A method for digitally managing a garment workshop, applying the digital management system of the garment workshop of any one of claims 1-9, characterized in that the digital management method of the garment workshop comprises the following steps:
s1, acquiring the product type, the product quantity, the quality requirement and the product delivery time of a current production order;
s2, analyzing according to information such as product types, product quantity, quality requirements and the like to obtain clothing working quantity G;
s3, calculating to obtain a processing capacity value J and an operation empty quantity S of the production line;
s4, judging whether the current clothing work load G is larger than the connectable work load K, if not, receiving a bill, and if so, determining that the capacity range is exceeded, and negotiating the delivery time.
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