CN111125190A - Logistics company operation data processing method based on amoeba management mode - Google Patents

Logistics company operation data processing method based on amoeba management mode Download PDF

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CN111125190A
CN111125190A CN201911323140.1A CN201911323140A CN111125190A CN 111125190 A CN111125190 A CN 111125190A CN 201911323140 A CN201911323140 A CN 201911323140A CN 111125190 A CN111125190 A CN 111125190A
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company
amoeba
data
organization
logistics
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施甘图
庭治宏
高人龙
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Lahuobao Network Technology Co ltd
Hongtu Intelligent Logistics Co Ltd
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Lahuobao Network Technology Co ltd
Hongtu Intelligent Logistics Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
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    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
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    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0838—Historical data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
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    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12—Accounting

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Abstract

The invention discloses a logistics company operation data processing method based on an amoeba management mode, which comprises the following steps: splitting the company into amoeba organizations according to the organization architecture of the company, wherein the amoeba organizations comprise income bars and function bars; attributing all the items operated by the company to an amoeba organization; carrying out multistage division on accounting subjects of a company according to preset requirements; collecting or receiving business sales data and labor cost data of a company; accounting subjects of the business sales data and the labor cost data are counted according to the items to which the amoeba organization belongs, and a statistical result is obtained; and disassembling the statistical result in a data drilling mode and displaying the statistical result in a preset chart mode. The invention can automatically and intelligently process data.

Description

Logistics company operation data processing method based on amoeba management mode
Technical Field
The invention relates to the technical field of data processing, in particular to a logistics company operation data processing method based on an amoeba management mode.
Background
With the current development of internet technology and big data, more and more traditional industries are actively developing towards informatization, and the open and novel management mode of amoeba is more and more favored by various companies. A company is divided into a plurality of independent operation units, each small organization is used as an independent profit center and operates independently according to the independent attribute mode of the small organization, and the management principle of the amoeba is realized. The difficulty of the management mode is that the development direction of the enterprise needs to be determined, and the enterprise can be really transmitted to each employee, otherwise, the vicious competition between molecular bars and the overall interest of the enterprise are easily caused, and the overall interest of the enterprise is damaged for the self interest. The monitoring data of the ameba operation condition is particularly important. However, at present, data monitoring is completely carried out manually, which not only wastes time and labor, but also has low data quality.
Disclosure of Invention
The invention mainly solves the technical problem of providing a logistics company operation data processing method based on an amoeba management mode, which can automatically and intelligently process data.
In order to solve the technical problems, the invention adopts a technical scheme that: the method for processing the operation data of the logistics company based on the amoeba management mode comprises the following steps of; splitting the company into amoeba organizations according to the organization architecture of the company, the amoeba organizations including income bars and function bars; attributing all the items operated by the company to an amoeba organization; carrying out multistage division on accounting subjects of a company according to preset requirements; collecting or receiving business sales data and labor cost data of a company; carrying out accounting subject statistics on the business sales data and the labor cost data according to the item to which the amoeba organization belongs to obtain a statistical result; and disassembling the statistical result in a data drilling mode and displaying the statistical result in a preset chart mode.
As a preferred embodiment of the present invention, the step of attributing all items operated by the company to the amoeba organization further comprises: and setting the valid time period of the project, and attributing the project in the valid time period.
As a preferred embodiment of the invention, the business sales data comprises a logistics waybill number, a logistics waybill cost and a logistics waybill cost, and the labor cost data comprises a staff number, wages and performance.
As a preferred embodiment of the present invention, the business sales data is collected by an etl tool or imported externally.
As a preferred embodiment of the present invention, the present invention further includes: and splitting the statistical result into every day according to the date for displaying.
Different from the prior art, the invention has the beneficial effects that: the data processing can be automatically and intelligently carried out, and the display can be carried out in a chart mode, so that the labor and the time can be effectively saved, and the data quality can be improved.
Drawings
Fig. 1 is a schematic flow chart of a logistics company operation data processing method based on an amoeba management mode according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a logistics company operation data processing method based on an amoeba management mode according to an embodiment of the present invention. The logistics company operation data processing method of the embodiment comprises the following steps:
s1: the company is split into amoeba organizations according to the organization architecture of the company, the amoeba organizations including income bars and function bars.
The organization architecture is the core of the amoeba management, the splitting needs to be performed based on the organization architecture, the split income bars are related departments or branch and sub-companies which are responsible for transportation income, storage management and have the capacity of carrying out revenue to the outside, the function bars are departments or organizations which provide service for the operation of the income bars and are not direct economic income, and the departments or organizations are generally financial, IT, administration, manpower and the like.
S2: all the items operated by the company are assigned to the amoeba organization.
Wherein, the item is a generalized definition for a certain economic activity, which is convenient to distinguish the source and the use purpose of a certain expense. In order to accurately distinguish the attribution of the project, in this embodiment, the step S2 further includes: and setting the valid time period of the project, and attributing the project in the valid time period.
S3: and carrying out multistage division on the accounting subjects of the company according to preset requirements.
The divided accounting subjects are as follows:
Figure BDA0002327690770000031
the division result includes two levels of accounting subjects.
Primary accounting subjects include: sales, fluctuating costs, fixed costs;
sales include secondary accounting: external selling, internal selling and internal purchasing;
the external sales is the business income facing the outside of the company;
intra-sales provides service revenue to other barns organizations;
paying for providing services for other organizations by internal purchasing;
wherein, the internal sales and the internal purchase need to be consistent (namely, the internal sales-the internal purchase is 0).
The fluctuating cost includes secondary accounting subjects: direct cost, sales returns, interest, tax, insurance, personnel compensation, travel fees, hospitality fees, and others;
the fixed fees include secondary accounting subjects: the public expense is amortized, and the special fixed expense is realized.
Wherein, the net sale amount is external sale, internal sale and internal purchase
Margin-net sales-change cost
The profit is the net sales, variable cost, fixed cost.
S4: business sales data and labor cost data of a company are collected or received.
The business sales data comprises a logistics waybill number, logistics waybill cost and logistics waybill cost, and the labor cost data comprises a staff number, wages and performance. Business sales data can be collected by the etl tool or imported externally.
S5: and carrying out accounting subject statistics on the business sales data and the labor cost data according to the items to which the amoeba organization belongs to obtain a statistical result.
S6: and disassembling the statistical result in a data drilling mode and displaying the statistical result in a preset chart mode.
The predetermined chart can be a business profit and loss table, a profit and loss trend analysis table, a project profit and loss analysis table, and the like. The business profit-and-loss table is a two-dimensional table which is classified according to amoeba organization and shows related secondary subject information, and the two-dimensional table is represented as follows by way of example:
Figure BDA0002327690770000041
Figure BDA0002327690770000051
the overall profit and loss conditions of the logistics company and the profit and loss conditions of each amoeba organization can be clearly displayed through the table.
In this embodiment, the method for processing the logistics company operation data further includes:
and splitting the statistical result to each day according to the date for displaying.
The data is drilled down to the profit-loss trend analysis table, so that the whole data can be visually displayed on every day by splitting the data according to the date, and the profit-loss condition and the whole profit-loss trend of each day can be known. By drilling down the data to the project profit analysis table, the profit situation of the project can be accurately positioned so that the decision maker can make a decision.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (5)

1. A logistics company operation data processing method based on an amoeba management mode is characterized by comprising the following steps;
splitting the company into amoeba organizations according to the organization architecture of the company, the amoeba organizations including income bars and function bars;
attributing all the items operated by the company to an amoeba organization;
carrying out multistage division on accounting subjects of a company according to preset requirements;
collecting or receiving business sales data and labor cost data of a company;
carrying out accounting subject statistics on the business sales data and the labor cost data according to the item to which the amoeba organization belongs to obtain a statistical result;
and disassembling the statistical result in a data drilling mode and displaying the statistical result in a preset chart mode.
2. The method for processing logistics company operation data based on amoeba management mode of claim 1, wherein the step of attributing all the items operated by the company to the amoeba organization further comprises:
and setting the valid time period of the project, and attributing the project in the valid time period.
3. The logistics company operation data processing method of claim 2, wherein the business sales data comprises logistics waybill number, logistics waybill cost, and the labor cost data comprises staff number, wages, and performance.
4. The logistics company operation data processing method of claim 3, wherein the business sales data is collected by an etl tool or imported externally.
5. The logistics company operation data processing method of claim 4, further comprising:
and splitting the statistical result into every day according to the date for displaying.
CN201911323140.1A 2019-12-20 2019-12-20 Logistics company operation data processing method based on amoeba management mode Pending CN111125190A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102713947A (en) * 2010-10-28 2012-10-03 京瓷经营咨询有限公司 Business management device
CN105825425A (en) * 2016-03-18 2016-08-03 朱树柏 Financial data processing method applied to ameba management depositing and withdrawing style
CN107358520A (en) * 2017-07-22 2017-11-17 北京羽客信息技术有限公司 The book by single entry system adjusted for Management Accounting

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102713947A (en) * 2010-10-28 2012-10-03 京瓷经营咨询有限公司 Business management device
CN105825425A (en) * 2016-03-18 2016-08-03 朱树柏 Financial data processing method applied to ameba management depositing and withdrawing style
CN107358520A (en) * 2017-07-22 2017-11-17 北京羽客信息技术有限公司 The book by single entry system adjusted for Management Accounting

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张明超: "阿米巴模式在SJ公司成本控制应用研究", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 *

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