TWI893430B - Material calculation system and material calculation method based on assembly sequence - Google Patents

Abstract

A material calculation system and a material calculation method based on assembly sequence are provided. The material calculation system includes a storage device and a processor. The storage device stores multiple modules, the multiple modules include a demand calculation module, a notification module, and an abnormality analysis module. The processor executes multiple modules, and detects production plan data. The demand calculation module calculates order planning data according to the production plan data. The notification module generates a notification message according to the order planning data, and the notification module outputs a notification message. Notification module receives a reply message. The abnormality analysis module generates an abnormal data of the order planning according to the reply message and the order planning data. The abnormality analysis module analyzes the abnormal data of the order planning and the production planning data, and then generates analysis results corresponding to the production planning data.

Description

Material calculation system and method based on assembly sequence

The present invention relates to a material control method for production planning, and more particularly to a material calculation system and method based on assembly sequence.

Due to the complex processes and the wide variety of materials required, the manufacturing industry requires contacting multiple suppliers to order different materials. Typically, logistics personnel calculate the types and quantities of required materials based on the production plan and then send order lists to the corresponding suppliers. Upon receiving the order, the supplier will respond with a response confirming whether they can provide the required quantity on schedule. However, each supplier's response format varies, forcing logistics control/purchasing personnel to manually compare and confirm each response against the production plan to determine if it will affect the production schedule. Furthermore, purchasing personnel must negotiate repeatedly with suppliers. This makes it easy for human errors to occur amidst complex data and multiple exchanges of information, and each manufacturing cost of material control consumes significant manpower and time costs.

This invention is directed to an assembly sequence-based material calculation system and method. This system automatically generates material call planning data based on the actual usage date and quantity of each material in the production plan data, thereby improving material control accuracy and reducing inventory pressure.

According to an embodiment of the present invention, the assembly sequence-based material accounting system includes a storage device and a processor. The processor executes multiple modules and detects production planning data, wherein the multiple modules include a demand calculation module, a notification module, and an anomaly analysis module. wherein the demand calculation module calculates the material call plan data based on the production plan data, the notification module generates a notification message based on the material call plan data, and the notification module outputs the notification message, wherein the notification module receives a reply message, wherein the abnormality analysis module generates material call plan abnormality data based on the reply message and the material call plan data, wherein the abnormality analysis module analyzes the material call plan abnormality data and the production plan data, and then generates an analysis result corresponding to the production plan data, wherein the notification module stores the received reply message in the storage device, and the abnormality analysis module periodically detects the reply message in the storage device according to preset timing parameters. When the notification module outputs the notification message based on the recovery setting parameters, it stores the corresponding recovery period in the storage device. If the notification module does not receive the recovery message within the recovery period, the notification module outputs a reminder message to the corresponding user account. Furthermore, the multiple modules further include a gap analysis module. When the analysis result is an abnormal result, the notification module outputs the abnormal result, and the gap analysis module analyzes the abnormal result to generate an affected production plan and gap data.

According to an embodiment of the present invention, the assembly sequence-based material calculation method includes the following steps: detecting production plan data via a processor; calculating material call plan data based on the production plan data via a demand calculation module; generating a notification message based on the material call plan data via a notification module, and outputting the notification message via the notification module; receiving a reply message via the notification module; generating material call plan exception data based on the reply message and the material call plan data via an exception analysis module; and analyzing the material call plan exception data and the production plan data via the exception analysis module to generate an analysis result corresponding to the production plan data.

Based on the above, the assembly sequence-based material calculation system and method of the present invention can automatically generate multiple material call plan data based on production plan data, output them to corresponding suppliers (e.g., corresponding system accounts), and automatically calculate material call plan anomaly data based on supplier response messages, as well as analyze the production plan data and material call plan anomaly data.

To make the above features and advantages of the present invention more clearly understood, the following examples are given and described in detail with reference to the accompanying drawings.

100: Material calculation system based on assembly sequence

110: Storage device

111: Demand Calculation Module

112: Notification Module

113: Abnormal Analysis Module

120: Processor

101: Production Planning Data

102: Gap Analysis

310: Demand Calculation Module

320: Notification Module

330:Interactive Interface

340: Notification Module

350: Gap Analysis Module

301: Production Plan

302: Bill of Materials

303: Requirement date and quantity data

304: Material request plan data

305: Email Notification

401: Production plan data

402: Inventory quantity

403: Material Purchase Order List

404: Assign suppliers and material requirement quantity list

405: Interactive interface for buyers

406: List of required item numbers, quantities, and dates

501: Reply message

502: Reply message

S210~S250, S311~S316, S410~S440: Steps

Figure 1 is a schematic diagram of an assembly sequence-based material accounting system according to one embodiment of the present invention.

Figure 2 is a flow chart of a material calculation method based on assembly sequence according to an embodiment of the present invention.

Figure 3 is a schematic diagram of the execution of multiple modules of an embodiment of the present invention.

Figure 4 is a schematic diagram of the execution of the demand calculation module of one embodiment of the present invention.

Figure 5 is an example diagram of a reply message according to an embodiment of the present invention.

Reference will now be made in detail to exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Whenever possible, the same reference numerals are used in the drawings and the description to refer to the same or like parts.

FIG1 is a schematic diagram of an assembly sequence-based material accounting system according to an embodiment of the present invention. Referring to FIG1 , the assembly sequence-based material accounting system 100 includes a processor 120 and a storage device 110. The processor 120 is coupled to the storage device 110. The storage device 110 stores a demand calculation module 111, a notification module 112, and an abnormality analysis module 113. In this embodiment, the assembly sequence-based material accounting system 100 may, for example, be set up in a cloud server, so that users can connect to and execute related business service functions of different application programming interfaces (APIs) also set up in the cloud server. The cloud server may be, for example, a Software as a Service (SaaS) server, and the application programming interface may correspond to a SaaS application, but the present invention is not limited thereto. In one embodiment, the assembly sequence-based material accounting system 100 is hosted on the cloud server and allows users to log into individual system accounts, receive system messages, and enter operational instructions. In this way, material control personnel can send and receive messages to individual suppliers and project planners via the material accounting system 100.

Alternatively, in another embodiment, the assembly sequence-based material calculation system 100 can be installed in an enterprise resource planning (ERP) system running on a local server within the enterprise to provide related business service functions (e.g., detecting production plans, calculating material order plans, calculating material delivery plans, generating analysis results, and other similar business services) through various application programming interfaces.

In this embodiment, the processor 120 may include, for example, a central processing unit (CPU), other programmable general-purpose or special-purpose microprocessor, digital signal processor (DSP), application-specific integrated circuit (ASIC), programmable logic device (PLD), other similar processing circuits, or a combination of these devices. The storage device 110 may include memory and/or a database, where the memory may be, for example, non-volatile memory (NVM). The storage device 110 may store relevant programs, modules, systems, or algorithms useful for implementing various embodiments of the present invention, for access and execution by the processor 120 to implement the relevant functions and operations described in the various embodiments of the present invention. In this embodiment, the demand calculation module 111, notification module 112, and anomaly analysis module 113 may be implemented using programming languages such as JSON (JavaScript Object Notation), Extensible Markup Language (XML), or YAML, but the present invention is not limited thereto.

In this embodiment, a user can execute the assembly-sequence-based material accounting system 100, for example, via a personal computer, and input operation/adjustment instructions and production plan data 101 into the assembly-sequence-based material accounting system 100 to request execution or modification of corresponding data contents. Based on the requested data, the assembly-sequence-based material accounting system 100 automatically executes the demand calculation module 111, notification module 112, and anomaly analysis module 113 to automatically generate corresponding material order plan anomaly data and analysis results (e.g., production gap analysis data). In this embodiment, users can connect to the material accounting system 100 located on a cloud server and log in to a corresponding system account to input and configure the material accounting system's detection path. Thus, the assembly sequence-based material accounting system 100 can automatically detect production planning data 101 stored in a database or on the user's electronic device.

Next, the material calculation system 100 calculates accurate material call plan data based on the assembly sequence and material requirement date in the production plan data 101 and automatically outputs the material call plan data to the corresponding supplier's system account. Alternatively, suppliers can connect to the material calculation system 100 and log into their system account to view the material call plan data and enter response information. In this way, the material calculation system 100 automatically calculates material call plan data based on the corresponding assembly sequence. Furthermore, based on the supplier's response information, the material calculation system 100 calculates material call plan anomaly data and the corresponding gap analysis results, thereby automatically completing material supply negotiations with suppliers and gap analysis 102 between materials and production plans.

Figure 2 is a flow chart of an assembly sequence-based material calculation method according to one embodiment of the present invention. Referring to Figures 1 and 2, the assembly sequence-based material calculation system 100 can execute steps S210-S250 to automatically generate a corresponding material call plan and analysis results. In this embodiment, the processor 120 of the assembly sequence-based material calculation system 100 can detect production plan data 101 stored in a database or storage device 110 according to configuration (step S210). In step S220, the processor 120 executes the demand calculation module 111, causing it to calculate the material call plan data based on the production plan data 101. Specifically, the demand calculation module 111 calculates the required quantity and required date for each material based on production plan data, bill of materials (BOM), and inventory data.

In one embodiment, production plan data 101 is a production plan for equipment/devices, including the equipment number, production quantity, assembly sequence, assembly date, and assembly requirements. The demand calculation module 111 can then calculate the material call plan data corresponding to the assembly sequence based on production plan data 101. In other words, the material call plan data is related to the assembly sequence, the assembly date, and the assembly parts for each assembly sequence, and the material call plan is generated based on the actual assembly schedule.

In step S230, processor 120 generates notification messages based on the material order plan data through notification module 112, and notification module 112 outputs the notification messages. Specifically, the material order plan data includes the required quantity and required date for each material. Because each material is provided by a different supplier, notification module 112 generates multiple notification messages corresponding to different suppliers based on the material order plan data (for example, the required quantity for material number 001 is 100 units, and the required date is February 15th). Notification module 112 then outputs these multiple notification messages to the corresponding supplier accounts or electronic devices (such as mobile phones, tablets, computers, etc.).

In step S240, processor 120 executes notification module 112 to receive the response message. Furthermore, processor 120 executes exception analysis module 113 to generate material order plan exception data based on the response message and the material order plan data. The response message includes the available material type, available material quantity, and available date. Specifically, exception analysis module 113 automatically compares and calculates the supplier's response message and the material order plan data generated in step S220 to generate the material order plan exception data. Exception data for the material order plan is generated by comparing the supplier's available material quantity and delivery date with production plan data 101 to generate material order plan data that matches the supplier's available material, quantity, and date. For example, production plan data 101 lists the required quantity of material A1 for equipment A as 100 units and the required date as February 10th. The corresponding response message for material A1 indicates the available quantity is 100 units and the delivery date is February 9th. Therefore, the exception data for the material order plan is material A1 and the available delivery date is February 9th.

In another example, production plan data 101 lists the required quantity of material A1 for equipment A as 100, with a required date of February 10th. The corresponding response message for material A1 indicates that the available quantity of material A1 is 80 on February 10th and 20 on February 11th. Therefore, the material order plan exception data indicates that the available quantity of material A1 is 80 on February 10th and 20 on February 11th. In other words, exception analysis data 113 compares production plan data 101 with the response message to generate the material order plan exception data that best matches production plan data 101, given the available material quantities and dates from the supplier. It is worth noting that notification module 112 outputs abnormal material order data to the corresponding supplier and buyer's system account/electronic device, thereby confirming the delivery plan with the supplier and retaining records.

In step S250, the processor 120 may analyze the material order plan exception data and the production plan data 101 through the exception analysis module 113, thereby generating an analysis result corresponding to the production plan data 101. Specifically, the exception analysis module 113 compares the material order plan exception data with the production plan data 101 to determine whether the production process in the production plan data 101 will be affected, thereby generating an analysis result. If the production plan data 101 cannot be completed as scheduled, the exception analysis module 113 generates an exception result. If the production plan data 101 can still receive the corresponding material type and quantity as scheduled, the exception analysis module 113 does not generate an exception result.

It is worth noting that the abnormal result includes the abnormal material type/number, abnormal material quantity (e.g., shortage of material quantity), and abnormal material date. This allows production planning personnel to quickly receive the abnormal results calculated by the abnormal analysis module 113 and, based on the material type and quantity in the abnormal result, input adjustment instructions (e.g., changing suppliers, adjusting production plans, or renegotiation with suppliers) into the material accounting system 100.

In this way, the assembly sequence-based material accounting system 100 and its method of the present invention can automatically generate multiple material call plan data based on the production plan data 101, and output them to corresponding suppliers (e.g., corresponding system accounts). Furthermore, the material accounting system 100 calculates material call plan exception data based on the supplier's response message. By analyzing the production plan data 101 and the material call plan exception data, the contractor can quickly understand the status of the material available from the supplier and the corresponding production plan content, and automatically compare the assembly process or production equipment affected by the material shortage.

FIG3 is a schematic diagram illustrating the execution of multiple modules according to an embodiment of the present invention. Referring to FIG1 and FIG3 , the material accounting system 100 further includes a gap analysis module 350. The assembly sequence-based material accounting system 100 can execute the following steps S311 to S316. First, the processor 120 detects the production plan data 101, including the following steps: the demand calculation module 310 detects the production plan data 101 from one of the storage device 110 and the database. The production plan data 101 includes at least one of production data and production variation data. Specifically, the demand calculation module 310 detects production plan data 101 in a database (e.g., an enterprise resource planning system) or storage device 110 based on user settings. Furthermore, the demand calculation module 310 can detect production change data or production data (i.e., initially entered production plan data 101). In other words, the material calculation system 100 employs a data-driven approach, enabling rapid adjustments to corresponding manufacturing steps, assembly links, production plan data 101, and production schedules whenever values/data in the production plan data 101 change.

It is worth noting that production plan data 101 includes assembly dates and assembly sequences. Demand calculation module 310 calculates material requirement data corresponding to the assembly sequence based on production plan data 101. Material requirement data includes material requirement dates and material quantity requirements. In one embodiment, demand calculation module 310 calculates material call plan data 304 based on preset parameters (including bill of materials 302) and production plan data 101 (including production plan 301 and required date and quantity data 303). Material call plan data 304 includes supplier information, required material information, material requirement dates, and material quantity requirements. In one embodiment, the notification module 320 automatically detects the order plan data 304 calculated by the demand calculation module 310 and outputs the order plan data 304 to the interactive interface/user account 330 corresponding to each supplier.

In one embodiment, the step of the notification module 320 outputting a notification message includes: the notification module 320 generating a notification message based on the material ordering plan data 304, and transmitting the notification message to a corresponding user account, where the user account includes at least one of a contractor account and a supplier account. In one embodiment, the notification message generated by the notification module 320 based on the material ordering plan data 304 is an email notification 305. In one embodiment, when the notification module 320 outputs the notification message based on the response setting parameters, the corresponding response period is stored in the storage device 110. In this way, if the response deadline expires and the notification module 320 does not receive a response message, the notification module 320 outputs a reminder message to the corresponding user account (e.g., the contact person's interactive interface/system account), thereby reminding the logistics control personnel to contact the supplier directly for processing.

In step S311, the material calculation system 100 receives the material delivery date and material quantity confirmed by the supplier. Specifically, the user (such as a supplier, a material control person, or a purchaser) logs into the system account to enable the interactive interface 330 and the material calculation system 100 to perform data and data transmission. In other words, the reply message includes the material supply content replied by the supplier account based on the material order plan data 304. The material supply content includes material supply data, expected supply quantity, and material supply date. Therefore, the material calculation system 100 automatically detects the reply message entered by the supplier from the interactive interface 330, and the reply message includes the material type, supply date, and supply quantity. Next, the material accounting system 100 automatically analyzes the supplier's response (i.e., the response message) and the material order plan data 304 (step S312) to generate an analysis result. The analysis result is either normal or abnormal. It should be noted that the notification module 320 can store the received response message in the storage device 110.

It's worth noting that the abnormality analysis module 113 regularly detects reply messages in the storage device 110 based on preset timing parameters. In other words, this prevents the contractor from receiving system notifications every time a supplier responds to order plan data, which would result in excessive message volume and reduce the contractor's processing efficiency. Thus, through the preset timing parameters of the material calculation system 100 and the regular detection of the abnormality analysis module 113, the contractor can process multiple reply messages at once, thereby improving processing efficiency and reducing time costs.

If the analysis result is an abnormal result, the notification module 340 outputs the abnormal result to the corresponding handling personnel's interactive interface/system account. Next, the notification module 340 receives the abnormality handling information (e.g., adjustment instructions) input by the handling personnel (step S313). In one embodiment, the notification module 340 receives the adjustment instructions, and the processor 120 adjusts the material order plan data 304 according to the adjustment instructions.

In step S315, if the analysis result is abnormal, the notification module 340 outputs the abnormal result, and the gap analysis module 350 analyzes the abnormal result to generate a gap analysis result and gap data. The gap data includes the material data corresponding to the production plan data 101 that cannot be delivered as scheduled. For example, the gap data is material A1 with a missing quantity of 50 units. The notification module 340 then outputs the analysis result to the corresponding user account. The user account is the system account of the person responsible for the production plan data 101. In step S316, the gap analysis module 350 adjusts the production plan data 101 based on the adjustment instructions entered by the person responsible.

Figure 4 is a schematic diagram illustrating the execution of the demand calculation module according to one embodiment of the present invention. Figure 5 is an example diagram of a response message according to one embodiment of the present invention. Referring to Figures 1, 4, and 5, in step S410, the demand calculation module 310 calculates production plan data 401 and inventory quantity 402 based on the configured detection time and the default material ordering clerk. The demand calculation module 310 then analyzes the missing material quantities and material demand dates based on the inventory quantity 402, generating a list 406 of required item numbers, quantities, and dates (step S420). In step S430, the demand calculation module 310 converts the required item number, quantity, and date list 406 into the material order planning data 304 (including the material purchase order list 403 and the assigned supplier and material required quantity list 404) based on the default supplier corresponding to each material item number.

In step S440, notification module 320 converts the material order plan data into a task card and sends the task card to the corresponding buyer's interactive interface 405 (step S440). The task card can be a notification message in the SaaS server. As shown in Figure 5, the supplier can input reply messages 501 and 502 into notification modules (320, 340) by operating interactive interface 330. Referring to Figures 3, 4, and 5, when notification module 340 receives reply message 502, since the required quantity for material number C4 in material order plan data 304 is 5, reply message 502 indicates a material shortage. Next, the anomaly analysis module 113 inputs the anomaly analysis result (i.e., a shortage of 2 units of material C4) into the notification module 340, prompting the material control personnel to implement countermeasures such as supplier adjustments or adjustments to the production plan 301. Simultaneously, the gap analysis module 350 analyzes the missing materials (step S315) and generates the affected production plan 301 to notify the material control personnel.

In summary, the assembly sequence-based material calculation system and method of the present invention can automatically generate multiple material call plan data based on the assembly sequence in the production plan data, inventory quantities, and bills of materials, and then output them to corresponding suppliers (e.g., corresponding system accounts). Furthermore, the system automatically calculates material call plan exception data based on supplier response messages and analyzes the production plan data against these exception data, significantly reducing the time and cost of manually processing response messages and comparing data.

Finally, it should be noted that the above embodiments are intended only to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, persons skilled in the art should understand that they may modify the technical solutions described in the above embodiments or substitute equivalent features for some or all of the technical features therein. Such modifications or substitutions do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention.

100: Material calculation system based on assembly sequence

110: Storage device

111: Demand Calculation Module

112: Notification Module

113: Abnormal Analysis Module

120: Processor

101: Production Planning Data

102: Gap Analysis

Claims (16)

A material accounting system based on an assembly sequence comprises: a storage device storing a plurality of modules; and a processor coupled to the storage device, executing the plurality of modules and detecting production plan data, wherein the plurality of modules include a demand calculation module, a notification module, and an anomaly analysis module. The demand calculation module calculates material call plan data based on the assembly date and assembly sequence in the production plan data, the notification module generates a notification message based on the material call plan data, and the notification module outputs the notification message. The notification module receives a reply message, and the anomaly analysis module generates material call plan anomaly data based on the reply message and the material call plan data. The anomaly analysis module analyzes the material order plan anomaly data and the production plan data to generate analysis results corresponding to the production plan data. The notification module stores the received response message in the storage device. The anomaly analysis module periodically detects the response message in the storage device based on preset timing parameters. When the notification module outputs the notification message based on response setting parameters, it stores the corresponding response deadline in the storage device. When the notification module does not receive the response message within the response deadline, the notification module outputs a reminder message to the corresponding user account. The multiple modules further include a gap analysis module: When the analysis result is an abnormal result, the notification module outputs the abnormal result, and the gap analysis module analyzes the abnormal result to generate the affected production plan and gap data. The assembly sequence-based material calculation system of claim 1, wherein the demand calculation module detects the production plan data from the storage device, wherein the production plan data includes at least one of production data and production variation data; The demand calculation module calculates the material call plan data based on preset parameters and the production plan data, wherein the material call plan data includes supplier information, required material information, material requirement date, and material requirement quantity. The assembly sequence-based material calculation system of claim 1, wherein the demand calculation module calculates material requirement data corresponding to the assembly sequence based on the production plan data, the material requirement data including a material requirement date and a material requirement quantity. The demand calculation module calculates the material call plan data based on the material requirement data and a bill of materials. A material calculation system based on assembly sequence as described in claim 1, wherein after the notification module generates a notification message based on the material order plan data, the notification module transmits the notification message to a corresponding user account, wherein the user account includes at least one of a contractor account and a supplier account. As described in claim 4, the material calculation system based on assembly sequence, wherein the reply message includes the material supply content replied by the supplier account based on the material order plan data, wherein the material supply content includes material supply data, expected supply quantity and material supply date. The material calculation system based on assembly sequence as described in claim 4, wherein the notification module receives an adjustment instruction, and the processor adjusts the material call plan data according to the adjustment instruction. The material calculation system based on assembly sequence as described in claim 1, wherein the gap data includes material data corresponding to the production plan data that cannot be delivered as scheduled. The material calculation system based on assembly sequence as described in claim 1, wherein the notification module outputs the analysis results to the corresponding user account, wherein the user account is the system account of the person in charge of the production planning data. A material calculation method based on assembly sequence comprises: Detecting production plan data via a processor; Calculating material call plan data based on the assembly date and assembly sequence in the production plan data via a demand calculation module; Generating a notification message based on the material call plan data via a notification module, and outputting the notification message via the notification module; Receiving a reply message via the notification module; Generating material call plan exception data based on the reply message and the material call plan data via an anomaly analysis module; and Analyzing the material call plan exception data and the production plan data via the anomaly analysis module to generate an analysis result corresponding to the production plan data; When the analysis result is an abnormal result, the abnormal result is outputted via the notification module; The abnormal result is analyzed via the gap analysis module to generate an affected production plan and gap data. The step of receiving the response message via the notification module includes: Storing the received response message via the notification module in a storage device; and The abnormality analysis module periodically detects the response message in the storage device according to preset timing parameters. The step of outputting the notification message via the notification module includes: When the notification module outputs the notification message according to the response setting parameters, storing the corresponding response deadline in the storage device. When the notification module fails to receive the reply message within the reply period, the notification module outputs a reminder message to the corresponding user account. The assembly sequence-based material calculation method of claim 9, wherein the step of detecting the production plan data by the processor comprises: Executing the demand calculation module by the processor to cause the demand calculation module to detect the production plan data from the storage device, wherein the production plan data includes at least one of production data and production variation data; The demand calculation module calculates the material call plan data based on preset parameters and the production plan data, wherein the material call plan data includes supplier information, required material information, material requirement date, and material requirement quantity. The assembly sequence-based material calculation method of claim 9, wherein the step of the demand calculation module calculating the material call plan data based on the production plan data comprises: The demand calculation module calculates material requirement data corresponding to the assembly sequence based on the production plan data, wherein the material requirement data includes a material requirement date and a material requirement quantity; The demand calculation module calculates the material call plan data based on the material requirement data and a bill of materials. The assembly sequence-based material calculation method of claim 9, wherein the step of outputting the notification message via the notification module comprises: After the notification module generates the notification message based on the material order plan data, the notification module transmits the notification message to a corresponding user account, wherein the user account includes at least one of a contractor account and a supplier account. The material calculation method based on assembly sequence as described in claim 12, wherein the reply message includes the material supply content replied by the supplier account based on the material order plan data, wherein the material supply content includes material supply data, expected supply quantity and material supply date. The assembly sequence-based material calculation method of claim 12 further comprises: receiving an adjustment instruction via the notification module; and adjusting the material order plan data based on the adjustment instruction via the processor. The material calculation method based on assembly sequence as described in claim 9, wherein the gap data includes material data corresponding to the production plan data that cannot be delivered as scheduled. The assembly sequence-based material calculation method of claim 9, wherein the step of outputting the abnormal result via the notification module includes: Outputting the analysis result to a corresponding user account via the notification module, wherein the user account is the system account of the person responsible for the production plan data.