CN105023107A - Self-elevating drilling platform project decision analysis management system - Google Patents
Self-elevating drilling platform project decision analysis management system Download PDFInfo
- Publication number
- CN105023107A CN105023107A CN201510452134.1A CN201510452134A CN105023107A CN 105023107 A CN105023107 A CN 105023107A CN 201510452134 A CN201510452134 A CN 201510452134A CN 105023107 A CN105023107 A CN 105023107A
- Authority
- CN
- China
- Prior art keywords
- project
- segmentation
- thing amount
- analysis module
- thing
- 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
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention discloses a self-elevating drilling platform project decision analysis management system which comprises a design progress condition analysis module, an operating stage construction billboard die, a per capita quantity analysis module, a quality condition analysis module, an energy consumption analysis module and a material consumption analysis module, wherein the design progress condition analysis module is used for comparing a planned cumulative amount of a drawing with an absolute value and a relative value of an actual cumulative amount to show the design progress condition; the operating stage construction billboard die is used for showing the integral construction condition of project blocks in a block division plan form; the per capita quantity analysis module is used for showing quantity efficiency in each time period in each stage; the quality condition analysis module is used for carrying out statistics on a primary handing-over rate and carrying out displaying in each dimension in a histogram form; the energy consumption analysis module is used for calculating unit quantity energy consumption and energy consumption per capita and showing the quantity energy consumption and the energy consumption per capita in a a form of a broken line graph and table data; and the material consumption analysis module is used for carrying out statistics analysis on welding material, oil and paint data consumed by unit quantity production and showing the welding material, oil and paint data in a form of a table and a histogram. According to the present invention, real-time sharing of maritime work project decision data is implemented, manual statistics and analysis work is reduced, various information of construction, design, material purchasing and the like is clear at a glance.
Description
Technical field
The present invention relates to project decision analysis management, particularly relate to the project decision analysis and management system of self-elevating drilling platform.
Background technology
Operation in the carefully and neatly done project cycle of sea, the middle and high layer-management personnel that production is relevant need to select operating strategy and program decisions for project operation situation, often need a large amount of data minings and Decision Model Analysis support under modern management pattern.Bulk items in the middle of existed system is built on the basis of data and other external datas, assesses from the operation conditions of angle to project of data mining and analyzes.Therefore, efficient, rational extra large work project decision analysis and management system, is convenient to supvr and issues the reasonable disposition that various supervisory instruction comes balanced production beat and the various resource of regulation and control, effectively control to reach to project process, cost and risk.Simultaneously by the analysis to history of project data, provide accurate Trend judgement to the various business decision of company executives supvr.
Summary of the invention
The object of the present invention is to provide a kind of self-elevating drilling platform project decision analysis and management system, realize the Real-Time Sharing of extra large work project decision data, reduce artificial statistics, analytical work, the information such as all kinds of construction, design, purchase of goods and materials are very clear.
The technical scheme realizing above-mentioned purpose is:
A kind of self-elevating drilling platform project decision analysis and management system, comprising:
Design progress situation analysis module, divides according to design specialist, the Project design cycle, the distribution of statistics drawing number, and by the absolute value of the plan accumulative total of drawing and actual achievement accumulative total, relative value contrast, presents design schedule situation;
Sessions is built and is seen plate module, according to the crucial progress point of extra large work project, extracts the data of applying for checking and examination that each segmentation is corresponding, divides the integral constructing situation of diagram form displaying project segmentation with segmentation;
Thing component analysis module per capita, divides sessions according to extra large work project characteristic, chooses respective typical thing figureofmerit, construction algorithm, extracted data in the middle of subsystems, present the thing amount efficiency of each time period in each stage to each stage characteristic;
Quality condition analysis module, send work feature according to production, extracts teams and groups and to apply for checking and examination data, add up and once deliver for a check rate, show with bar graph form in each dimension;
Energy consumption analysis module, according to each stage completion thing amount of project each stage completion feature statistics and number on the regular payroll of each stage, the energy consumption data gathered with each functional department contrasts, and unit of account thing amount energy consumption and per capita energy consumption, present with the form of broken line graph and list data;
Material consumption analysis module, the different material that the thing amount standard different according to each stage of project and each stage need, statistical analysis unit thing amount produces the wlding, oil plant and the paint data that consume each month per year, presents with the form of form and histogram.
In above-mentioned self-elevating drilling platform project decision analysis and management system, described design progress situation analysis module is according to following formulae discovery:
Planned design progress rate=Sum (before current month actual achievement plan drawing number)/project scheduling drawing number;
Design actual achievement progress rate=Sum (before current month actual achievement drawing number)/project scheduling drawing number;
Project design Period Start Time=Min (Min (each drawing plan on-stream time) || Min (each drawing actual on-stream time));
Project design period end time=Max (Max (each drawing planned end time) || Max (each drawing physical end time)).
In above-mentioned self-elevating drilling platform project decision analysis and management system, described sessions is built and is seen that plate module is according to following formulae discovery:
Segmentation phase points completion date=MAX (segmentation phase points each task project completion date).
In above-mentioned self-elevating drilling platform project decision analysis and management system, the described component analysis of thing per capita module is according to following formulae discovery:
Thing amount per capita=accumulative thing on the regular payroll average number up to now in amount/this month;
Accumulative thing amount=∑ (every day complete thing amount);
This month is average number=∑ on the regular payroll (number on the regular payroll every day)/number of days up to now;
The thing that completes every day to apply for checking and examination segments × design transformation rule amount=every day;
Application stage application thing amount per capita=(application internal field every day apply for checking and examination segmentation coating area accumulative+the application outfield every day segmentation coating area that applies for checking and examination adds up)/this month average number on the regular payroll up to now;
Application stage sand washing thing amount per capita=application to apply for checking and examination every day segmentation sand washing area accumulative/this month average number on the regular payroll up to now;
Ship dress, machine dress item for inspection number=∑ (projects apply for checking and examination number × item for inspection thing amount weight);
Process thing amount=steel per capita to add up to receive number on the regular payroll up to now in tonnage/this month.
In above-mentioned self-elevating drilling platform project decision analysis and management system, described quality condition analysis module is according to following formulae discovery:
Once deliver for a check rate=passing number/(number that always applies for checking and examination-cancel quantity);
Wherein, cancel quantity to refer to: because shipowner's reason, condition of applying for checking and examination do not satisfy the requirements and cause the item for inspection that can not apply for checking and examination to be classified as cancellation quantity.
In above-mentioned self-elevating drilling platform project decision analysis and management system, described energy consumption analysis module is according to following formulae discovery:
Thing amount consumption=of that month energy consumption cost number/completion in this month thing amount number;
Energy consumption per capita=of that month energy consumption cost average number on the regular payroll in number/this month;
Of that month average number=∑ on the regular payroll (number on the regular payroll every day)/number of days;
Completion thing amount=∑ (segmentation of applying for checking and examination × design thing amount transformation rule);
Segmentation coating area completion thing amount=∑ (segmentation site area × construction stage coefficient);
Ship installs work thing amount=∑ (finished project × Percent Complete coefficient);
Module completion thing amount=∑ (segmentation pipe radical).
In above-mentioned self-elevating drilling platform project decision analysis and management system, described material consumption analysis module is according to following formulae discovery:
Unit thing amount consumption=goods and materials amount of receiving/completion thing amount;
Completion thing amount=∑ (segmentation of applying for checking and examination × design thing amount transformation rule);
Segmentation coating area completion thing amount=∑ (segmentation site area × construction stage coefficient);
Ship installs work thing amount=∑ (segmentation finished project × Percent Complete coefficient);
Module completion thing amount=∑ (segmentation pipe radical).
The invention has the beneficial effects as follows: the present invention chooses critical index in multiple dimensions such as important design, project process, production efficiency, qualities, adopt chart, panel board, drill through, rotate, the form such as section represents critical index, realize the Real-Time Sharing of extra large work project decision data, there is provided key factor at the historical statistics of company's level, the present situation, in the future trend, support the prediction, decision-making, control, responsibility examination etc. of corporate decision's layer, for effective data supporting is carried out in corporate strategy formulation, index evaluation, impact analysis etc.
Accompanying drawing explanation
Fig. 1 is the structural drawing of self-elevating drilling platform project decision analysis and management system of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.
Refer to Fig. 1, self-elevating drilling platform project decision analysis and management system of the present invention, comprising: design progress situation analysis module 1, sessions are built and seen plate module 2, per capita thing component analysis module 3, quality condition analysis module 4, energy consumption analysis module 5 and material consumption analysis module 6.
Design progress situation analysis module 1 divides according to design specialist, the Project design cycle, the distribution of statistics drawing number, and by the absolute value of the plan accumulative total of drawing and actual achievement accumulative total, relative value contrast, presents design schedule situation.Particularly, design progress situation analysis module 1 is according to following formulae discovery:
Planned design progress rate=Sum (before current month actual achievement plan drawing number)/project scheduling drawing number;
Design actual achievement progress rate=Sum (before current month actual achievement drawing number)/project scheduling drawing number;
Project design Period Start Time=Min (Min (each drawing plan on-stream time) || Min (each drawing actual on-stream time));
Project design period end time=Max (Max (each drawing planned end time) || Max (each drawing physical end time)).
Wherein, planned design progress rate, design actual achievement progress rate contrast in the mode of broken line graph and represent.
Sessions is built and is seen the crucial progress point of plate module 2 according to extra large work project, extract the data of applying for checking and examination that each segmentation is corresponding, the integral constructing situation of diagram form displaying project segmentation is divided, for production management department, project team member, company leader present overall project manufacturing schedule with segmentation.According to extra large work project process feature and relevant Decision personnel to the attention rate of data, divide progress point as follows: tire under tire, segmentation in cutting completion, segmentation, structure is applied for checking and examination, integrality is applied for checking and examination, sand washing is applied for checking and examination, paint and apply for checking and examination, always organize beginnings, lift-launch.Particularly, sessions is built and is seen that plate module 2 is according to following formulae discovery:
Segmentation phase points completion date=MAX (segmentation phase points each task project completion date).
External coordination segmentation needs mark to go out but no longer shows by phase points completion.
Thing component analysis module 3 divides sessions according to extra large work project characteristic per capita, respective typical thing figureofmerit is chosen to each stage characteristic, construction algorithm, extracted data in the middle of subsystems, present the thing amount efficiency of each time period in each stage, for department appraisal provides foundation, and contrast general standard data Timeliness coverage low efficiency problem and adjustment in time.Each stage examination thing amount object is as follows:
Particularly, per capita thing component analysis module 3 according to following formulae discovery:
Thing amount per capita=accumulative thing on the regular payroll average number up to now in amount/this month;
Accumulative thing amount=∑ (every day complete thing amount);
This month is average number=∑ on the regular payroll (number on the regular payroll every day)/number of days up to now;
The thing that completes every day to apply for checking and examination segments × design transformation rule amount=every day;
Application stage application thing amount per capita=(application internal field every day apply for checking and examination segmentation coating area accumulative+the application outfield every day segmentation coating area that applies for checking and examination adds up)/this month average number on the regular payroll up to now;
Application stage sand washing thing amount per capita=application to apply for checking and examination every day segmentation sand washing area accumulative/this month average number on the regular payroll up to now;
Ship dress, machine dress item for inspection number=∑ (projects apply for checking and examination number × item for inspection thing amount weight);
Process thing amount=steel per capita to add up to receive number on the regular payroll up to now in tonnage/this month.
Quality condition analysis module 4 send work feature according to production, extracts teams and groups and to apply for checking and examination data, add up and once deliver for a check rate, show with bar graph form in each dimension.According to cycle statistical study qualitative data, for Human Resource Department, production management department, company leader etc. provide decision-making foundation to production division of labor service team administration.Quality condition analysis module 4 is according to following formulae discovery:
Once deliver for a check rate=passing number/(number that always applies for checking and examination-cancel quantity);
Wherein, cancel quantity to refer to: because shipowner's reason, condition of applying for checking and examination do not satisfy the requirements and cause the item for inspection that can not apply for checking and examination to be classified as cancellation quantity, be not counted in the number that always applies for checking and examination.
Energy consumption analysis module 5 is according to each stage completion thing amount of project each stage completion feature statistics and number on the regular payroll of each stage, the energy consumption data gathered with each functional department contrasts, unit of account thing amount energy consumption and per capita energy consumption, present with the form of broken line graph and list data.From the efficiency of the angle of energy resource consumption reflection project in company and each production division, for company's energy management and examination provide foundation.Energy consumption analysis module 5 is according to following formulae discovery:
Thing amount consumption=of that month energy consumption cost number/completion in this month thing amount number;
Energy consumption per capita=of that month energy consumption cost average number on the regular payroll in number/this month;
Of that month average number=∑ on the regular payroll (number on the regular payroll every day)/number of days;
Completion thing amount=∑ (segmentation of applying for checking and examination × design thing amount transformation rule);
Segmentation coating area completion thing amount=∑ (segmentation site area × construction stage coefficient);
Ship installs work thing amount=∑ (finished project × Percent Complete coefficient);
Module completion thing amount=∑ (segmentation pipe radical).
The different material that material consumption analysis module 6 needs according to each stage of project different thing amount standard and each stage, statistical analysis unit thing amount produces the wlding, oil plant and the paint data that consume each month per year, presents with the form of form and histogram.The feature difference that sea work project is producing each stage is larger, and the material of needs is also not quite similar, and therefore according to each stage characteristic, establishes each stage examination material object as follows:
Particularly, material consumption analysis module 6 is according to following formulae discovery:
Unit thing amount consumption=goods and materials amount of receiving/completion thing amount;
Completion thing amount=∑ (segmentation of applying for checking and examination × design thing amount transformation rule);
Segmentation coating area completion thing amount=∑ (segmentation site area × construction stage coefficient);
Ship installs work thing amount=∑ (segmentation finished project × Percent Complete coefficient);
Module completion thing amount=∑ (segmentation pipe radical).
Above embodiment is used for illustrative purposes only, but not limitation of the present invention, person skilled in the relevant technique, without departing from the spirit and scope of the present invention, various conversion or modification can also be made, therefore all equivalent technical schemes also should belong to category of the present invention, should be limited by each claim.
Claims (7)
1. a self-elevating drilling platform project decision analysis and management system, is characterized in that, comprising:
Design progress situation analysis module, divides according to design specialist, the Project design cycle, the distribution of statistics drawing number, and by the absolute value of the plan accumulative total of drawing and actual achievement accumulative total, relative value contrast, presents design schedule situation;
Sessions is built and is seen plate module, according to the crucial progress point of extra large work project, extracts the data of applying for checking and examination that each segmentation is corresponding, divides the integral constructing situation of diagram form displaying project segmentation with segmentation;
Thing component analysis module per capita, divides sessions according to extra large work project characteristic, chooses respective typical thing figureofmerit, construction algorithm, extracted data in the middle of subsystems, present the thing amount efficiency of each time period in each stage to each stage characteristic;
Quality condition analysis module, send work feature according to production, extracts teams and groups and to apply for checking and examination data, add up and once deliver for a check rate, show with bar graph form in each dimension;
Energy consumption analysis module, according to each stage completion thing amount of project each stage completion feature statistics and number on the regular payroll of each stage, the energy consumption data gathered with each functional department contrasts, and unit of account thing amount energy consumption and per capita energy consumption, present with the form of broken line graph and list data;
Material consumption analysis module, the different material that the thing amount standard different according to each stage of project and each stage need, statistical analysis unit thing amount produces the wlding, oil plant and the paint data that consume each month per year, presents with the form of form and histogram.
2. self-elevating drilling platform project decision analysis and management system according to claim 1, is characterized in that, described design progress situation analysis module is according to following formulae discovery:
Planned design progress rate=Sum (before current month actual achievement plan drawing number)/project scheduling drawing number;
Design actual achievement progress rate=Sum (before current month actual achievement drawing number)/project scheduling drawing number;
Project design Period Start Time=Min (Min (each drawing plan on-stream time) || Min (each drawing actual on-stream time));
Project design period end time=Max (Max (each drawing planned end time) || Max (each drawing physical end time)).
3. self-elevating drilling platform project decision analysis and management system according to claim 1, is characterized in that, described sessions is built and seen that plate module is according to following formulae discovery:
Segmentation phase points completion date=MAX (segmentation phase points each task project completion date).
4. self-elevating drilling platform project decision analysis and management system according to claim 1, is characterized in that, the described component analysis of thing per capita module is according to following formulae discovery:
Thing amount per capita=accumulative thing on the regular payroll average number up to now in amount/this month;
Accumulative thing amount=∑ (every day complete thing amount);
This month is average number=∑ on the regular payroll (number on the regular payroll every day)/number of days up to now;
The thing that completes every day to apply for checking and examination segments × design transformation rule amount=every day;
Application stage application thing amount per capita=(application internal field every day apply for checking and examination segmentation coating area accumulative+the application outfield every day segmentation coating area that applies for checking and examination adds up)/this month average number on the regular payroll up to now;
Application stage sand washing thing amount per capita=application to apply for checking and examination every day segmentation sand washing area accumulative/this month average number on the regular payroll up to now;
Ship dress, machine dress item for inspection number=∑ (projects apply for checking and examination number × item for inspection thing amount weight);
Process thing amount=steel per capita to add up to receive number on the regular payroll up to now in tonnage/this month.
5. self-elevating drilling platform project decision analysis and management system according to claim 1, is characterized in that, described quality condition analysis module is according to following formulae discovery:
Once deliver for a check rate=passing number/(number that always applies for checking and examination-cancel quantity);
Wherein, cancel quantity to refer to: because shipowner's reason, condition of applying for checking and examination do not satisfy the requirements and cause the item for inspection that can not apply for checking and examination to be classified as cancellation quantity.
6. self-elevating drilling platform project decision analysis and management system according to claim 1, is characterized in that, described energy consumption analysis module is according to following formulae discovery:
Thing amount consumption=of that month energy consumption cost number/completion in this month thing amount number;
Energy consumption per capita=of that month energy consumption cost average number on the regular payroll in number/this month;
Of that month average number=∑ on the regular payroll (number on the regular payroll every day)/number of days;
Completion thing amount=∑ (segmentation of applying for checking and examination × design thing amount transformation rule);
Segmentation coating area completion thing amount=∑ (segmentation site area × construction stage coefficient);
Ship installs work thing amount=∑ (finished project × Percent Complete coefficient);
Module completion thing amount=∑ (segmentation pipe radical).
7. self-elevating drilling platform project decision analysis and management system according to claim 1, is characterized in that, described material consumption analysis module is according to following formulae discovery:
Unit thing amount consumption=goods and materials amount of receiving/completion thing amount;
Completion thing amount=∑ (segmentation of applying for checking and examination × design thing amount transformation rule);
Segmentation coating area completion thing amount=∑ (segmentation site area × construction stage coefficient);
Ship installs work thing amount=∑ (segmentation finished project × Percent Complete coefficient);
Module completion thing amount=∑ (segmentation pipe radical).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510452134.1A CN105023107A (en) | 2015-07-28 | 2015-07-28 | Self-elevating drilling platform project decision analysis management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510452134.1A CN105023107A (en) | 2015-07-28 | 2015-07-28 | Self-elevating drilling platform project decision analysis management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105023107A true CN105023107A (en) | 2015-11-04 |
Family
ID=54413060
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510452134.1A Pending CN105023107A (en) | 2015-07-28 | 2015-07-28 | Self-elevating drilling platform project decision analysis management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105023107A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105388876A (en) * | 2015-12-22 | 2016-03-09 | 蓝星（北京）技术中心有限公司 | Method and device for obtaining team-based intermittent-type chemical production process conformity |
| CN105549559A (en) * | 2015-12-22 | 2016-05-04 | 蓝星（北京）技术中心有限公司 | Method used for acquiring continuous chemical industry production technology conformity based on team and group and apparatus thereof |
-
2015
- 2015-07-28 CN CN201510452134.1A patent/CN105023107A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105388876A (en) * | 2015-12-22 | 2016-03-09 | 蓝星（北京）技术中心有限公司 | Method and device for obtaining team-based intermittent-type chemical production process conformity |
| CN105549559A (en) * | 2015-12-22 | 2016-05-04 | 蓝星（北京）技术中心有限公司 | Method used for acquiring continuous chemical industry production technology conformity based on team and group and apparatus thereof |
| CN105549559B (en) * | 2015-12-22 | 2017-11-10 | 蓝星（北京）技术中心有限公司 | For obtaining the method and device of the continuous type chemical production technology degree of conformity based on teams and groups |
| CN105388876B (en) * | 2015-12-22 | 2017-11-10 | 蓝星（北京）技术中心有限公司 | Obtain the method and device of the batch-type chemical production technology degree of conformity based on teams and groups |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Кwilinski | Mechanism of modernization of industrial sphere of industrial enterprise in accordance with requirements of the information economy | |
| Singh et al. | Ranking of barriers for effective maintenance by using TOPSIS approach | |
| CN108108994A (en) | For the plan optimization method of chemical enterprise supply chain | |
| Osadchy et al. | Accounting and control of indirect costs of organization as a condition of optimizing its financial and economic activities | |
| CN105023107A (en) | Self-elevating drilling platform project decision analysis management system | |
| Gupta et al. | Development of a productivity measurement model for tea industry | |
| Zhuravel et al. | Forming the strategy of financial development for highly technological enterprise | |
| Tkacheva et al. | Strategic management of coal mining industry efficiency | |
| Plotkin et al. | Formation and development of theoretical principles for mineral resources logistics | |
| Graboviy | Methods of motivation improvement and effectiveness increase on the example of construction industry enterprises | |
| Ponomarenko et al. | Statistical testing of key effectiveness indicators of the companies (Case for Ukraine in 2012) | |
| Skvortsova et al. | Economic assessment of the effectiveness of the introduction of industry 4.0 technologies in the activities of industrial enterprises | |
| Alimbetov et al. | Formation and development of digital economy in Kazakhstan | |
| Kyaw et al. | An Interesting study of capacity improvement of a shipyard in Myanmar | |
| Indrawati et al. | Improving creative industry production performance during the Covid-19 pandemic using cost-based value stream mapping | |
| Sukarma et al. | The measures of performance for world class manufacturing practices: a critical review | |
| Muftiadi et al. | Analysis on sources of inefficiency in the construction sector: high cost of infrastructure development in Indonesia | |
| Parnaby | Design of the new product introduction process to achieve world class benchmarks | |
| Ahuja | Manufacturing excellence through total productive maintenance paradigm | |
| Oleinik et al. | Algorithmization of the optimization apparatus in the organization of the current planning at the companies of the building complex | |
| Randunupura et al. | Plant and equipment management to minimize delays in road construction projects | |
| Merrifield | Demand for skills: an analysis of the proposed infrastructure spending programme | |
| Markina et al. | Development of the export/import activities supply chain of the construction industry of Ukraine | |
| Beley et al. | The synergistic effects in the process management of trading information systems | |
| Chizhevskaya et al. | Improving the system of organizational and technical development of an enterprise of pipeline transport |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20151104 |