CN104751240A - Delivery period predication method based on static production cycle sheet - Google Patents
Delivery period predication method based on static production cycle sheet Download PDFInfo
- Publication number
- CN104751240A CN104751240A CN201510131456.6A CN201510131456A CN104751240A CN 104751240 A CN104751240 A CN 104751240A CN 201510131456 A CN201510131456 A CN 201510131456A CN 104751240 A CN104751240 A CN 104751240A
- Authority
- CN
- China
- Prior art keywords
- time
- production
- product
- production cycle
- delivery date
- 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
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention provides a delivery period predication method based on a static production cycle sheet, and belongs to the technical field of metallurgical industrial manufacturing and informatization. The method is that the production time, inventory cycle time and inspection time of various products in each device are extracted according to the production experience, the time is assumed to be fixed; the times in each production link are added to obtain the final delivery period. With the adoption of the method, the rough delivery period of ordered goods can be quickly calculated, which is beneficial for the response to the customer demand, and the customer service level can be improved.
Description
Technical field
The invention belongs to metallurgy industry manufacture and informationization technology field, particularly relate to a kind of for the Forecasting Methodology at delivery date based on the equipment static production cycle.
Background technology
Modern steel enterprise is made the transition to service-type firm by manufacturing enterprise, under this production model, how to improve the importance that enterprise's on-time-delivery rate is enterprise competitive power with rapid reaction customer demand.Product is fulfiled ahead of schedule stock buildup cost; And delay in delivery will affect customer trust, old friend's delivery date will promise to undertake the key link day by day becoming enterprise rapid reaction client.In the process determining order delivery date, not only to consider customer demand, enterprises' production capacity, also need to consider to add list temporarily or remove the dynamic disturbances factors such as single simultaneously.Forecasting Methodology at delivery date based on static production cycle table calculates a kind of computing method at delivery date by each equipment largest production cycle.
Summary of the invention
The invention provides a kind of Forecasting Methodology at delivery date based on static production cycle table, the method achieve the prediction at delivery date of Users ' Need-oriented, for enterprise responds user's request fast, promote level of customer service and offer help.
The present invention includes prognoses system function at delivery date.Delivery date, prognoses system function comprised task management, process route management, device fabrication cycle management, the management of product, calculating at delivery date, display at delivery date.
Based on a Forecasting Methodology at delivery date for static production cycle table, realize predicting the delivery date of order:
Step one, the static production cycle table of setting, periodic table structure comprises name of product, product category, order arrival time, order organization of examination and comment time, remaining material serve as the time, base-material order placement time, base-material will expect the time, the scheduling time, the device fabrication time, the packaging time, proving time, entry time, finished product delivery availability and history actual production cycle length; Chronomere is sky.
Step 2, determine product category, for each product category lists all production equipments, each production equipment all has minimum production time and production buffer time; The device fabrication time of each product category is each production equipment minimum production time, production buffer time sum; The described production buffer time is that production equipment prepares to produce required time.The described production equipment time prepared needed for production comprises equipment and chemically examines the time by the product turnaround time on front and back stock ground, the inspection of process product.Step 3, all kinds of temporal reference value provided the mean value of all kinds of time in periodic table in each product in the past production or each production division according to manufacturing enterprise, determine the reference time of every time.
After step 4, user's proposition demand, enter in static production cycle table according to product category that user carries and search for, add up to each time after searching corresponding product category, cumulative result is out the time at delivery date of prediction.Wherein history actual production cycle length is not as cumulative.
Step 5, search the static production cycle according to product category, order date basis adds the prediction time at delivery date, extrapolates dilivery date.
After step 6, production complete, write the history actual production cycle length in predetermined period table according to the actual production time at delivery date, as the reference time after prediction at delivery date next time.
The invention has the beneficial effects as follows, predicted by delivery date, propose to provide when user askes single demand but formally do not sign order to ask single delivery date user.Improve evaluation efficiency, improve level of customer service.
Accompanying drawing illustrates:
Below in conjunction with accompanying drawing and example, the present invention is further described.
Fig. 1 is system flowchart of the present invention.
Embodiment:
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.
The present invention proposes the Forecasting Methodology at delivery date based on static production cycle table, as follows in conjunction with example in detail:
As shown in Figure 1.
1) new order demand: the order that system acceptance is new, checks during reception that whether purchasing order information is complete.The scope of examination comprises product category, the trade mark, standard, Rule Information.If information is incomplete, system reports an error, if information completely, stored in system database.
2) whether new product: complete 1) after, judge this product whether new product, if new product then newly-increased product in production cycle static table, be then saved in database if not new product.
3) the extraction equipment production time from static production cycle table: 2) complete after, to be not new product according to product extract from database this product use production time of equipment.
4) reconfigure table of static production cycle: 2) complete after, so the then newly-increased product in production cycle static table to new product.
5) calculate can promise to undertake the date at delivery date: 3) or 4) complete after, sue for peace according to the device fabrication time.Always calculating according to the time of calculating and day can the guaranteed delivery time date.
6) user is submitted to delivery date: complete 5) after, the date at delivery date is shown and submits to user.
Claims (3)
1., based on a Forecasting Methodology at delivery date for static production cycle table, it is characterized in that:
Step one, the static production cycle table of setting, periodic table structure comprises name of product, product category, order arrival time, order organization of examination and comment time, remaining material serve as the time, base-material order placement time, base-material will expect the time, the scheduling time, the device fabrication time, the packaging time, proving time, entry time, finished product delivery availability and history actual production cycle length;
Step 2, determine product category, for each product category lists all production equipments, each production equipment all has minimum production time and production buffer time; The device fabrication time of each product category is each production equipment minimum production time, production buffer time sum;
Step 3, all kinds of temporal reference value provided the mean value of all kinds of time in periodic table in each product in the past production or each production division according to manufacturing enterprise, determine the reference time of every time;
After step 4, user's proposition demand, enter in static production cycle table according to product category that user carries and search for, after searching corresponding product category, each time is added up, cumulative result is out the time at delivery date of prediction, and wherein history actual production cycle length is not as cumulative;
Step 5, search the static production cycle according to product category, order date basis adds the prediction time at delivery date, extrapolates dilivery date;
After step 6, production complete, write the history actual production cycle length in predetermined period table according to the actual production time at delivery date, as the reference time after prediction at delivery date next time.
2. as claimed in claim 1 based on the Forecasting Methodology at delivery date of static production cycle table, it is characterized in that: the described production buffer time is that production equipment prepares to produce required time.
3. as claimed in claim 1 based on the Forecasting Methodology at delivery date of static production cycle table, it is characterized in that: described production equipment prepares the inspection chemical examination time that production required time comprises product turnaround time, process product.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510131456.6A CN104751240A (en) | 2015-03-24 | 2015-03-24 | Delivery period predication method based on static production cycle sheet |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510131456.6A CN104751240A (en) | 2015-03-24 | 2015-03-24 | Delivery period predication method based on static production cycle sheet |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104751240A true CN104751240A (en) | 2015-07-01 |
Family
ID=53590884
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510131456.6A Pending CN104751240A (en) | 2015-03-24 | 2015-03-24 | Delivery period predication method based on static production cycle sheet |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104751240A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109934551A (en) * | 2017-12-19 | 2019-06-25 | 江苏金风科技有限公司 | Offshore wind turbine delivery system |
| CN112990743A (en) * | 2021-03-31 | 2021-06-18 | 珠海必要工业科技股份有限公司 | Method, device and storage medium for determining production cycle of commodity |
| CN112990743B (en) * | 2021-03-31 | 2024-04-09 | 珠海必要工业科技股份有限公司 | Method, device and storage medium for determining production cycle of commodity |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5630070A (en) * | 1993-08-16 | 1997-05-13 | International Business Machines Corporation | Optimization of manufacturing resource planning |
| JP2003085346A (en) * | 2001-09-11 | 2003-03-20 | Hitachi Ltd | Method and system for trade of product |
| US20040193291A1 (en) * | 2003-03-25 | 2004-09-30 | Renesas Technology Corp. | Production management method using delivery date prediction |
| CN1661609A (en) * | 2004-02-26 | 2005-08-31 | 何浩然 | Method of united optimized managing contracts and repertories in plane of steel production |
| CN101303597A (en) * | 2008-05-30 | 2008-11-12 | 合肥工业大学 | Right changing type accidental scheduling method based on real time condition |
| CN103870949A (en) * | 2014-03-25 | 2014-06-18 | 东北大学 | Metallurgy production process tracking system and method |
-
2015
- 2015-03-24 CN CN201510131456.6A patent/CN104751240A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5630070A (en) * | 1993-08-16 | 1997-05-13 | International Business Machines Corporation | Optimization of manufacturing resource planning |
| JP2003085346A (en) * | 2001-09-11 | 2003-03-20 | Hitachi Ltd | Method and system for trade of product |
| US20040193291A1 (en) * | 2003-03-25 | 2004-09-30 | Renesas Technology Corp. | Production management method using delivery date prediction |
| CN1661609A (en) * | 2004-02-26 | 2005-08-31 | 何浩然 | Method of united optimized managing contracts and repertories in plane of steel production |
| CN101303597A (en) * | 2008-05-30 | 2008-11-12 | 合肥工业大学 | Right changing type accidental scheduling method based on real time condition |
| CN103870949A (en) * | 2014-03-25 | 2014-06-18 | 东北大学 | Metallurgy production process tracking system and method |
Non-Patent Citations (1)
| Title |
|---|
| 李厥友: "钢铁企业生产制造周期的初探", 《山东冶金》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109934551A (en) * | 2017-12-19 | 2019-06-25 | 江苏金风科技有限公司 | Offshore wind turbine delivery system |
| CN112990743A (en) * | 2021-03-31 | 2021-06-18 | 珠海必要工业科技股份有限公司 | Method, device and storage medium for determining production cycle of commodity |
| CN112990743B (en) * | 2021-03-31 | 2024-04-09 | 珠海必要工业科技股份有限公司 | Method, device and storage medium for determining production cycle of commodity |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10474957B2 (en) | Method and apparatus for forecasting characteristic information change | |
| CN109829667B (en) | Logistics node parcel prediction method and device | |
| Dohmen et al. | When preemptive risk mitigation is insufficient: The effectiveness of continuity and resilience techniques during COVID‐19 | |
| JPWO2018042950A1 (en) | Order quantity determination system, order quantity determination method and order quantity determination program | |
| JP6493812B2 (en) | Inventory management method, inventory management apparatus, and program | |
| CN107958297B (en) | Product demand prediction method and product demand prediction device | |
| JP2018063598A (en) | Business supporting system and business supporting method | |
| CN106447469A (en) | Order processing method and device | |
| JP2018073200A (en) | Safety inventory determination device, method and program | |
| CN110969274A (en) | Method and device for predicting delivery time and computer readable storage medium | |
| CN109214530B (en) | Increment-based base-level maintenance project quantitative analysis system and method | |
| CN113537861A (en) | Replenishment method and replenishment device | |
| CN104751240A (en) | Delivery period predication method based on static production cycle sheet | |
| US9633003B2 (en) | System support for evaluation consistency | |
| Behún et al. | Risk assessment of non-repetitive production processes | |
| JP2006350883A (en) | Demand prediction value automatic determination system using knowledge database, demand prediction value automatic determination program used therefor, and storage medium storing its program | |
| JP2016224862A (en) | Maintenance work interval determination device | |
| Sun et al. | An effective approach for the scheduling of refining process with uncertain iterations in steel-making and continuous casting process | |
| JP6278867B2 (en) | Appropriate inventory calculation device, appropriate inventory calculation method and program | |
| Laga et al. | Time and Cost Optimization Using Goal Programming and Priority Scheduling | |
| CN113762842A (en) | Warehouse scheduling method, server and system | |
| WO2016113844A1 (en) | Supply chain design device, supply chain design method, and program | |
| JP6695298B2 (en) | Order control device | |
| Wang et al. | Research on Inventory Decision Based on Plant Simulation | |
| JP2014109845A (en) | Method and device for production plan |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150701 |