CN106339834A - Product cost statistical method - Google Patents

Product cost statistical method Download PDF

Info

Publication number
CN106339834A
CN106339834A CN201610677232.XA CN201610677232A CN106339834A CN 106339834 A CN106339834 A CN 106339834A CN 201610677232 A CN201610677232 A CN 201610677232A CN 106339834 A CN106339834 A CN 106339834A
Authority
CN
China
Prior art keywords
product
neck
statistical method
data management
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610677232.XA
Other languages
Chinese (zh)
Inventor
王学彦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuhan China Star Optoelectronics Technology Co Ltd
Original Assignee
Wuhan China Star Optoelectronics Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan China Star Optoelectronics Technology Co Ltd filed Critical Wuhan China Star Optoelectronics Technology Co Ltd
Priority to CN201610677232.XA priority Critical patent/CN106339834A/en
Publication of CN106339834A publication Critical patent/CN106339834A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875Itemisation or classification of parts, supplies or services, e.g. bill of materials
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Landscapes

  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Engineering & Computer Science (AREA)
  • Marketing (AREA)
  • Quality & Reliability (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

The invention provides a product cost statistical method comprising the steps that material take-in information and material take-out information are acquired; a current stock material list file is generated according to the material take-in information, the material take-out information and stock material information; the current stock material list file is converted into a corresponding first product data management file; and statistics of the manufacturing cost of the corresponding products is performed by using the first product data management file. According to the product cost statistical method, real-time statistics of the stock material and the stock products can be performed so that the accuracy and the timeliness of the calculated product cost are enabled to be high, and the manufacturing cost of the products can be reduced.

Description

Product cost statistical method
Technical field
The present invention relates to production management field, more particularly to a kind of product cost statistical method.
Background technology
With social development, existing enterprise all develops towards the zero inventory of material and product, thus reducing enterprise Daily operating cost.
But existing enterprise product cost statistical method is all by some cycles, to supplies on hand in the way of artificial nucleus couple Counted with inventory, so lead to not calculate the cost of manufacture of product in real time, and method described above is calculated The degree of accuracy of product cost and ageing poor, material is put into and directiveness that production arranges is poor, and Lead to the rising of production cost eventually.
Therefore it is necessary to provide a kind of product cost statistical method, to solve the problems of prior art.
Content of the invention
It is an object of the invention to provide a kind of carry out real-time statistics so that calculating to supplies on hand and inventory The degree of accuracy of product cost and ageing higher, thus reducing the product cost statistics side of the cost of manufacture of product coming Method;Relatively low and ageing poor with the degree of accuracy of the existing product cost statistical method of solution, thus leading to the making of product Relatively costly technical problem.
The embodiment of the present invention provides a kind of product cost statistical method, comprising:
Acquisition material neck enters information and material neck goes out information;
Information is entered according to described material neck, described material neck goes out information and supplies on hand information, generate current stock BOM file;Wherein said supplies on hand inventory file includes that material neck enters inventory, material neck goes out inventory and oddment Material inventory;
Described current supplies on hand inventory file is converted to corresponding first product data management file;And
Using described first product data management file, the cost of manufacture of corresponding product is counted.
In product cost statistical method of the present invention, described first product data management file includes but is not limited to The price of corresponding material, quantity, the neck angle of incidence, neck go out at least one of time and resting period.
In product cost statistical method of the present invention, described product cost statistical method also includes:
Information and online material information are gone out according to described material neck, generates current production material inventory file;
Described current production material inventory file is converted to corresponding second product data management file;And
Using described first product data management file and described second product data management file, to corresponding product Cost of manufacture counted.
In product cost statistical method of the present invention, described second product data management file includes but is not limited to The price of corresponding material, quantity, the neck angle of incidence, neck go out at least one of time and resting period.
In product cost statistical method of the present invention, described product cost statistical method also includes:
Obtain product neck and go out information;And
Information is gone out according to described product neck, described current production material inventory file is modified;
The described step that described current production material inventory file is converted to corresponding second product data management file Rapid particularly as follows:
Revised current production material inventory file is converted to corresponding second product data management file.
In product cost statistical method of the present invention, described product cost statistical method further comprises the steps of:
According to shipment order, generate described product neck and go out information.
In product cost statistical method of the present invention, described product cost statistical method further comprises the steps of:
According to described first product data management file, obtain material residue situation;And
According to described material residue situation, generate described material neck and enter information.
In product cost statistical method of the present invention, described product cost statistical method further comprises the steps of:
According to production material demand, generate described material neck and go out information.
In product cost statistical method of the present invention, described by described current supplies on hand inventory file conversion Step for corresponding first product data management file particularly as follows:
Based on sap system, described current supplies on hand inventory file is converted to corresponding first product data management File.
In product cost statistical method of the present invention, described by described current production material inventory file conversion Step for corresponding second product data management file particularly as follows:
Based on sap system, described current production material inventory file is converted to corresponding second product data management File.
Compared to existing product cost statistical method, the product cost statistical method of the present invention is passed through to believe various materials Breath is recorded by BOM file, and is converted to product data management file in real time, improves the product calculating The degree of accuracy of product cost and ageing, thus reducing the cost of manufacture of corresponding product;Solve existing product cost system The degree of accuracy of meter method is relatively low and ageing poor, thus leading to the higher technical problem of cost of manufacture of product.
It is that the above of the present invention can be become apparent, preferred embodiment cited below particularly, and coordinate institute's accompanying drawings, make Describe in detail as follows:
Brief description
Fig. 1 is the flow chart of the first preferred embodiment of product cost statistical method of the present invention;
Fig. 2 is the flow chart of second preferred embodiment of product cost statistical method of the present invention.
Specific embodiment
The explanation of following embodiment is with reference to additional schema, the particular implementation implemented in order to illustrate the present invention may be used to Example.The direction term that the present invention is previously mentioned, for example " on ", D score, "front", "rear", "left", "right", " interior ", " outward ", " side " Deng being only the direction with reference to annexed drawings.Therefore, the direction term of use is to illustrate and understand the present invention, and is not used to Limit the present invention.
In in figure, the similar unit of structure is to be represented with identical label.
Refer to Fig. 1, Fig. 1 is the flow chart of the first preferred embodiment of product cost statistical method of the present invention.This is excellent The product cost statistical method selecting embodiment by real-time statistics are carried out to product material, such that it is able to realize to product cost Effectively accurate statistics.The product cost statistical method of this preferred embodiment includes:
Step s101, acquisition material neck enters information and material neck goes out information;
Step s102, enters information according to material neck, material neck goes out information and supplies on hand information, generates current stock BOM file;
Step s103, current supplies on hand inventory file is converted to corresponding first product data management file;
Step s104, using the first product data management file, counts to the cost of manufacture of corresponding product.
Idiographic flow the following detailed description of each step of the product cost statistical method of this preferred embodiment.
In step s101, product cost statistical system can obtain that material neck enters information and material neck goes out information, this thing It is that user increases the material information of stock material to warehouse that material neck enters information;It is that user produces to product from warehouse that material neck goes out information The material information of producing line material is increased on line.
Specifically, corresponding material neck can be generated and enters information, such as set and work as according to the material residue situation in warehouse here When the quantity of the panel substrates in warehouse is less than weekly basic consumption, the material neck generating panel substrates enters information.
Here corresponding material neck can be generated and goes out information, such as producing line exists according to the production material demand in producing line simultaneously This week needs to generate 500 pieces of display panels, then can directly generate corresponding material neck and go out information, or according in current producing line Material residue situation, generate corresponding material neck go out information.Then pass to step s102.
In step s102, product cost statistical system enters information according to the material neck that step s101 obtains, material neck goes out Information and existing supplies on hand information, generate current supplies on hand inventory file, i.e. stock bom table (bill of material).This supplies on hand inventory file includes that material neck enters inventory, material neck goes out inventory and supplies on hand inventory.This Sample achieves and carries out real-time integration using supplies on hand inventory file to current supplies on hand information.Then pass to step s103.
In step s103, the current oddment that step s102 obtained based on sap system, product cost statistical system Material inventory file is converted to corresponding first product data management file.This sap (systems applications and Products in data processing)) system be a kind of enterprise product date management system, by sap system can achieve To supplies on hand information and other related informations, such as effective management of financial cost information etc..
So pass through sap system, current supplies on hand inventory file is converted to corresponding first product data management File.This first product data management file includes but is not limited to the price of material, quantity, the neck angle of incidence, neck go out the time and At least one of resting period.Then pass to step s104.
In step s104, product cost statistical system uses the first product data management file that step s103 obtains, Go out the information such as time and resting period using the price of supplies on hand, quantity, the neck angle of incidence, neck, to corresponding product Cost of manufacture is counted.As higher in the price of supplies on hand, quantity is more, and that is, the cost of manufacture of product is higher, simultaneously stock The resting period of material is longer, and the cost of manufacture of corresponding product is also higher.
So complete the product cost real-time statistics process of the product cost statistical method of this preferred embodiment.
The product cost statistical method of this preferred embodiment is by being carried out various material informations by BOM file Record, and be converted to product data management file in real time, improve the degree of accuracy and the timeliness of the product cost calculated Property, thus reducing the cost of manufacture of corresponding product.
Refer to Fig. 2, Fig. 2 is the flow chart of second preferred embodiment of product cost statistical method of the present invention.This is excellent The product cost statistical method selecting embodiment includes:
Step s201, acquisition material neck enters information and material neck goes out information;
Step s202, enters information according to material neck, material neck goes out information and supplies on hand information, generates current stock BOM file;
Step s203, current supplies on hand inventory file is converted to corresponding first product data management file;
Step s204, goes out information and online material information according to material neck, generates current production material inventory file;
Step s205, obtains product neck and goes out information;
Step s206, goes out information according to product neck, and current production material inventory file is modified;
Step s207, revised current production material inventory file is converted to corresponding second product data management File;
Step s208, using the first product data management file and the second product data management file, produces to corresponding The cost of manufacture of product is counted.
Idiographic flow the following detailed description of each step of the product cost statistical method of this preferred embodiment.
In step s201, product cost statistical system can obtain that material neck enters information and material neck goes out information, this thing It is that user increases the material information of stock material to warehouse that material neck enters information;It is that user produces to product from warehouse that material neck goes out information The material information of producing line material is increased on line.
Specifically, corresponding material neck can be generated and enters information, such as set and work as according to the material residue situation in warehouse here When the quantity of the panel substrates in warehouse is less than weekly basic consumption, the material neck generating panel substrates enters information.
Here corresponding material neck can be generated and goes out information, such as producing line exists according to the production material demand in producing line simultaneously This week needs to generate 500 pieces of display panels, then can directly generate corresponding material neck and go out information, or according in current producing line Material residue situation, generate corresponding material neck go out information.Then pass to step s202 and step s204.
In step s202, product cost statistical system enters information according to the material neck that step s101 obtains, material neck goes out Information and existing supplies on hand information, generate current supplies on hand inventory file, i.e. stock bom table (bill of material).This supplies on hand inventory file includes that material neck enters inventory, material neck goes out inventory and supplies on hand inventory.This Sample achieves and carries out real-time integration using supplies on hand inventory file to current supplies on hand information.Then pass to step s203.
In step s203, the current oddment that step s202 obtained based on sap system, product cost statistical system Material inventory file is converted to corresponding first product data management file.This sap (systems applications and Products in data processing)) system be a kind of enterprise product date management system, by sap system can achieve To supplies on hand information and other related informations, such as effective management of financial cost information etc..
So pass through sap system, current supplies on hand inventory file is converted to corresponding first product data management File.This first product data management file includes but is not limited to the price of material, quantity, the neck angle of incidence, neck go out the time and At least one of resting period.The material residue feelings of stock also can be obtained by this first product data management file in time Condition.Then pass to step s208.
In step s204, product cost statistical system goes out information and online material information according to material neck, generates and works as Front production material inventory file.Here online material information is the material information of the producing line material in product producing line.
Here current production material inventory file, that is, produce bom table (bill of material) and include material neck Go out inventory and online BOM.So achieve and using production material inventory file, current production material information is entered Row real-time integration.Then pass to step s205.
In step s205, product cost statistical system obtains product neck and goes out information.Here product neck goes out information.Here Product neck go out the material information that information refers to the product neck in product producing line.Here phase can be obtained by shipment order The product neck answered goes out information.Then pass to step s206.
In step s206, product cost statistical system goes out information according to the product neck that step s205 obtains, to step The current production material inventory file that s205 obtains is modified.Will step s205 obtain production material inventory file in Material quantity deducts the material quantity that product neck goes out in information, to obtain the production thing with correct product producing line material quantity Material inventory file.Then pass to step s207.
In step s207, the current production thing that step s206 obtained based on sap system, product cost statistical system Material inventory file is converted to corresponding second product data management file.
So pass through sap system, current production material inventory file is converted to corresponding second product data management File.This second product data management file includes but is not limited to the price of material, quantity, the neck angle of incidence, neck go out the time and At least one of resting period.It is turning finally to step s208.
In step s208, product cost statistical system uses the first product data management file that step s203 obtains, Go out the information such as time and resting period using the price of supplies on hand, quantity, the neck angle of incidence, neck, and step s207 obtains The the second product data management file taking, that is, the price of material in product producing line, quantity, the neck angle of incidence, neck go out the time and The information such as resting period, count to the cost of manufacture of corresponding product.
So complete the product cost real-time statistics process of the product cost statistical method of this preferred embodiment.
On the basis of first preferred embodiment, the product cost statistical method of this preferred embodiment is simultaneously to supplies on hand Information and production material information are recorded by BOM file, and are converted to product data management file in real time, Further increase the degree of accuracy of the product cost calculated and ageing.
The product cost statistical method of the present invention by various material informations are recorded by BOM file, and And be converted to product data management file in real time, improve the degree of accuracy of the product cost calculated and ageing, thus Reduce the cost of manufacture of corresponding product;The degree of accuracy solving existing product cost statistical method is relatively low and ageing relatively Difference, thus lead to the higher technical problem of cost of manufacture of product.
In sum although the present invention is disclosed above with preferred embodiment, but above preferred embodiment and be not used to limit The present invention processed, those of ordinary skill in the art, without departing from the spirit and scope of the present invention, all can make various change and profit Decorations, therefore protection scope of the present invention is defined by the scope that claim defines.

Claims (10)

1. a kind of product cost statistical method is it is characterised in that include:
Acquisition material neck enters information and material neck goes out information;
Information is entered according to described material neck, described material neck goes out information and supplies on hand information, generate current supplies on hand Inventory file;Wherein said supplies on hand inventory file includes that material neck enters inventory, material neck goes out inventory and supplies on hand is clear Single;
Described current supplies on hand inventory file is converted to corresponding first product data management file;And
Using described first product data management file, the cost of manufacture of corresponding product is counted.
2. product cost statistical method according to claim 2 is it is characterised in that described first product data management file The price of including but not limited to corresponding material, quantity, the neck angle of incidence, neck go out at least one of time and resting period.
3. product cost statistical method according to claim 1 is it is characterised in that described product cost statistical method is also wrapped Include:
Information and online material information are gone out according to described material neck, generates current production material inventory file;
Described current production material inventory file is converted to corresponding second product data management file;And
Using described first product data management file and described second product data management file, the system to corresponding product Counted as cost.
4. product cost statistical method according to claim 3 is it is characterised in that described second product data management file The price of including but not limited to corresponding material, quantity, the neck angle of incidence, neck go out at least one of time and resting period.
5. product cost statistical method according to claim 3 is it is characterised in that described product cost statistical method is also wrapped Include:
Obtain product neck and go out information;And
Information is gone out according to described product neck, described current production material inventory file is modified;
The described step tool that described current production material inventory file is converted to corresponding second product data management file Body is:
Revised current production material inventory file is converted to corresponding second product data management file.
6. product cost statistical method according to claim 5 is it is characterised in that described product cost statistical method is also wrapped Include step:
According to shipment order, generate described product neck and go out information.
7. product cost statistical method according to claim 1 is it is characterised in that described product cost statistical method is also wrapped Include step:
According to described first product data management file, obtain material residue situation;And
According to described material residue situation, generate described material neck and enter information.
8. product cost statistical method according to claim 1 is it is characterised in that described product cost statistical method is also wrapped Include step:
According to production material demand, generate described material neck and go out information.
9. product cost statistical method according to claim 1 it is characterised in that described by described current supplies on hand Inventory file be converted to corresponding first product data management file step particularly as follows:
Based on sap system, described current supplies on hand inventory file is converted to corresponding first product data management file.
10. product cost statistical method according to claim 3 it is characterised in that described by described current production thing Material inventory file be converted to corresponding second product data management file step particularly as follows:
Based on sap system, described current production material inventory file is converted to corresponding second product data management file.
CN201610677232.XA 2016-08-17 2016-08-17 Product cost statistical method Pending CN106339834A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610677232.XA CN106339834A (en) 2016-08-17 2016-08-17 Product cost statistical method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610677232.XA CN106339834A (en) 2016-08-17 2016-08-17 Product cost statistical method

Publications (1)

Publication Number Publication Date
CN106339834A true CN106339834A (en) 2017-01-18

Family

ID=57824471

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610677232.XA Pending CN106339834A (en) 2016-08-17 2016-08-17 Product cost statistical method

Country Status (1)

Country Link
CN (1) CN106339834A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107358475A (en) * 2017-07-24 2017-11-17 隆鑫通用动力股份有限公司 A kind of floating price management platform based on SAP

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
林晴: "ERP环境下中小制造企业作业成本法的应用研究", 《中国优秀硕士学位论文全文数据库经济与管理科学辑》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107358475A (en) * 2017-07-24 2017-11-17 隆鑫通用动力股份有限公司 A kind of floating price management platform based on SAP

Similar Documents

Publication Publication Date Title
CN112749936B (en) Purchase-sales-inventory management system based on product serial number full-flow tracking
CN110957023A (en) Hospital logistics supply ecological chain management system based on zero-inventory concept
Hoq et al. SMEs in the Malaysian economy
CN104599020A (en) Store business management system
Smolarz et al. Increasing Technical Efficiency of Renewable Energy Sources in Power Systems
So et al. BiGTA-Net: A hybrid deep learning-based electrical energy forecasting model for building energy management systems
CN106339834A (en) Product cost statistical method
Chung et al. An alternative solution technique of the JIT lot-splitting model for supply chain management
Lu et al. Evaluation of manufacturing system redesign with multiple points of product differentiation
CN109493176A (en) A kind of market of farm produce commodities trading analysis system
CN108830480B (en) ERP purchasing calculation method and system
CN103002053A (en) Profit maximization scheduling method and system of cloud computing
CN101593317A (en) The material requirement planning system and method
CN105023133A (en) Inventory age analysis method based on data warehouse
Tseng et al. Data-driven iron and steel inventory control policies
Dey et al. Optimal Decisions on Greenness, Carbon Emission Reductions, and Flexibility for Imperfect Production with Partial Outsourcing
Fojtíková et al. Trade in Value Added and Its Impact on the Czech Foreign Trade
Hayakawa et al. FTA use in export-platform FDI: Evidence from exports to China by Japanese affiliates in ASEAN
CN107918842A (en) Information management system and method based on specific user's supply chains
Xiaoqing et al. Research on innovation efficiency loss of state-owned enterprises: an Empirical Analysis in China Based on DEA
Milewska et al. The Impact of Energy Consumption Costs on the Profitability of Production Companies in Poland in the Context of the Energy Crisis
Manna et al. An economic order quantity model for deteriorating items with trended demand under inflation, time discounting and a trade credit policy
Islam et al. Impact Of EU GSP Facilities On Export Growth Of Bangladesh: Especially On Readymade Garments Industry
Tang The relative efficiency of ownership structures and intra-firm trade
Yang et al. Study on the Application of Activity-Based Costing in Cold Chain Logistics Enterprises under Low Carbon Environment

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20170118