CN102129621A - Supply chain order configuration method taking profit into account - Google Patents
Supply chain order configuration method taking profit into account Download PDFInfo
- Publication number
- CN102129621A CN102129621A CN2011100577725A CN201110057772A CN102129621A CN 102129621 A CN102129621 A CN 102129621A CN 2011100577725 A CN2011100577725 A CN 2011100577725A CN 201110057772 A CN201110057772 A CN 201110057772A CN 102129621 A CN102129621 A CN 102129621A
- Authority
- CN
- China
- Prior art keywords
- order
- supply chain
- allocation
- client
- dimension
- 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
Images
Landscapes
- General Factory Administration (AREA)
Abstract
The invention discloses a supply chain order configuration method taking profit into account, which mainly comprises the following three steps: demand forecast, ATP (Available to Promise) allocation and order configuration. The method comprises the following specific steps: firstly, grading customers based on a special standard (such as distribution region, customer importance, customer order value and the like), and forecasting the order demand quantity of each grade of customers; then, based on the early demand forecast, pre-allocating products in distribution regions in accordance with the supply quantity of a supply chain master scheme, wherein the pre-allocation scheme can adopt the following three rules: grade allocation, forecast-proportion allocation and fixed-proportion allocation; and finally, when the actual demand quantity is more than the pre-allocation quantity, configuring orders according to a sequence of time dimension, customer dimension and product dimension, thus meeting the requirements of the customers. By using the invention, resources can be reasonably allocated, and demands of enterprise strategical customers and high-profit orders can be preferentially satisfied, thereby maximizing the profit of the enterprise.
Description
Technical field
The present invention relates to a kind of order collocation method, specially refer to a kind of supply chain order compound method of considering income.
Background technology
Available to Promise (Available to Promise, ATP) notion is the (APICS of U.S. operation management association, original name APICS American Production and Inventory Control Society,Inc) proposed in 1987, promptly at MPS (MPS, Master Production Schedule) in, can comprise unappropriated tank farm stock and plan quantum of output to the finished product quantity of customer order promise.The process that will be assigned to client region from all ATP of supply chain system Major program output is a supply chain ATP plan of distribution.ATP allocation rule commonly used has grade to distribute, predict proportional distribution and fixed proportion distribution etc.
The main mode of first in first out that adopts of tradition order configuration is served, this mode lacks the consideration to customer value, order profit and enterprise's long-term interest, therefore the demand of accidental demand of enterprise or low profit order can appear corporate strategy client or high profit order refusal are accepted, the situation that causes resource irrational utilization and enterprise's long-term benefit to suffer damage.For obtaining bigger income, the rule of tradition " first in first out " is no longer suitable, because it not only can't realize the target of supply chain profit maximization, but also can influence the relation of enterprise and Very Important Person.
In sum, at the defective of prior art, need a kind of supply chain order compound method of considering income especially, to solve the above-mentioned problem of mentioning.
Summary of the invention
The object of the present invention is to provide a kind of supply chain order compound method of considering income, under productive capacity and logistics capability condition of limited, the rational allocation resource, thus improve enterprise profit.
Technical matters solved by the invention can realize by the following technical solutions:
A kind of supply chain order collocation method of considering income is characterized in that described method comprises the steps:
1) demand forecast step
At first carry out client's grade classification, as distribute zone, client's importance or customer order value, and customer order demands at different levels are predicted by a specific criteria;
2) ATP allocation step
On the basis of demand forecast in early stage, carry out product predistribution according to the supply of supply chain Major program in the distribution zone then, the rule that adopts in the works in predistribution is that proportional distribution or fixed proportion distribution are distributed, predicted to grade;
3) order configuration step
When current effective ATP distributes deficiency, carry out the order configuration according to the order of time dimension, client's peacekeeping product dimension, meet customer need.
In one embodiment of the invention, described ATP allocation step is reserved certain unallocated amount, to solve the inaccurate problem of demand forecast.
In one embodiment of the invention, the time dimension in the described order configuration step, client's peacekeeping product dimension can mutually combine and use.
The present invention is under productive capacity and logistics capability condition of limited, and energy reasonable distribution resource generates optimum order allocation plan, preferentially satisfies the demand of corporate strategy client and high profit order, thereby realizes the maximization of enterprise profit.
Description of drawings
Fig. 1 is the synoptic diagram of the supply chain order collocation method of consideration income of the present invention.
Fig. 2 is the process flow diagram of the supply chain order collocation method of consideration income of the present invention.
Fig. 3 is the ATP allocation rule synoptic diagram of the supply chain order collocation method of consideration income of the present invention.
Fig. 4 is the order configuration three-dimensional coordinate figure of the supply chain order collocation method of consideration income of the present invention.
Embodiment
For technological means, creation characteristic that the present invention is realized, reach purpose and effect is easy to understand, below in conjunction with concrete diagram, further set forth the present invention.
As shown in Figure 1, a kind of supply chain order collocation method of considering income of the present invention comprises following three steps:
(1) demand forecast
At first carry out client's grade classification, as distribute zone, client's importance, customer order value etc., and customer order demands at different levels are predicted by a specific criteria.
(2) ATP distributes
As shown in Figure 3, on the basis of demand forecast in early stage, carry out product predistribution in the distribution zone according to the supply of supply chain Major program.Three kinds of allocation rule are arranged in plan of distribution: proportional distribution, fixed proportion distribution are distributed, predicted to grade.As shown in Figure 2, the world projection total demand is 1000, and the Major program Available to Promise is 900.By prediction proportional distribution rule, Asia, Europe and America forecast demand amount are respectively 400,200 and 400, therefore distribute in the ratio of 2:1:2 900 between " zone " node.Therefore distribute by the grade allocation rule between " country " node, the priority of grade 2 is higher than grade 1, is that 2 node (as Japan, France) 100% satisfies the demands to grade, and it is 1 node that surplus is distributed to grade.And the distribution of supply distributes by fixed proportion between " area " node, and therefore the east of China, middle part and western part are distributed according to fixed proportion 5:3:2, and promptly the east supply is 110, and the middle part is 66, and western part is 44.
In addition, in order to solve the inaccurate unbalanced supply-demand problem of bringing of demand forecast, can reserve certain unallocated amount at " whole world ", " zone " and the father nodes such as " countries " of Fig. 3, after the preallocation amount of the arbitrary child node of its next stage runs out of, the order demand that this part product can this child node of dispensing.
(3) order configuration
As shown in Figure 4, this patent be defined in when early stage effectively ATP distribute when not enough, adopts following allocation strategy: the first, in the time range that the client allows, with in earlier stage or later stage ATP output satisfy the demand of customer order, promptly on time dimension, dispose the order demand; The second, the product of using tricks to divide dispensing inferior grade client satisfies high-grade client's demand, i.e. configuration order demand on client's dimension; The 3rd, under the situation that the client accepts, satisfy client's order with the substitute products of this kind product, promptly on the product dimension, carry out the order configuration.
Can be more flexible during concrete the application, as can part disposing forward on time dimension, part is configuration backward, also can dispose on time dimension on other client regions, in like manner also can configuration again on time dimension on the substitute products dimension.
Describe below in conjunction with Fig. 2 and table 1 pair of specific embodiments of the invention:
At first carry out client's grade classification and the customer order demand is predicted the formulation plan of needs also arranges the supply chain Major program to produce by a specific criteria (as distributing the zone).
The ATP hypothesis of supply chain Major program output is distributed according to " grade allocation rule ", and client region 1 priority is the highest, and client region 2 priority are taken second place, and the priority of client region 3 is minimum.Consider multiply periodic situation, suppose the ATP allocation result such as the table 1 of product A.
The ATP distribute data of table 1 product A
Suppose that it is that 300 to require delivery availability be the customer order in cycle 3 that client region 2 is received a demand, carries out the order configuration according to the order of time dimension, client's dimension, product dimension.Because client region 2 has only 50 in the supply in cycle 3, therefore at first (cycle 1 and cycle 2 forward on the time dimension of this client region, need the payment inventory cost) or (cycle 4 and cycle 5 backward, need the delays in payment cost) search, in this example with ATP supply 70 and 60 these orders of dispensing in cycle 1 and cycle 2.This moment 50+60+70=180, still lack 120, then search for by client's dimension, the priority of client region 1 is higher than client region 2, the priority of client region 3 is lower than client region 2, therefore client region 3 can only be distributed to this order in the ATP supply 40 in 3 o'clock cycles.Breach amount for residue 80 can be considered substitute products, is like product as product B and product A, and performance is similar, under the situation that the client accepts, this order of product B dispensing promptly can be carried out the order configuration on the product dimension.
More than show and described ultimate principle of the present invention and principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; that describes in the foregoing description and the instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications; these changes and improvements all fall in the claimed scope of the invention, and the claimed scope of the present invention is defined by appending claims and equivalent thereof
Claims (3)
1. a supply chain order collocation method of considering income is characterized in that described method comprises the steps:
1) demand forecast step
At first carry out client's grade classification, as distribute zone, client's importance or customer order value, and customer order demands at different levels are predicted by a specific criteria;
2) ATP allocation step
On the basis of demand forecast in early stage, carry out product predistribution according to the supply of supply chain Major program in the distribution zone then, the rule that adopts in the works in predistribution is that proportional distribution or fixed proportion distribution are distributed, predicted to grade;
3) order configuration step
When current effective ATP distributes deficiency, carry out the order configuration according to the order of time dimension, client's peacekeeping product dimension, meet customer need.
2. the supply chain order collocation method of consideration income as claimed in claim 1 is characterized in that, described ATP allocation step is reserved certain unallocated amount, to solve the inaccurate problem of demand forecast.
3. the supply chain order collocation method of consideration income as claimed in claim 1 is characterized in that, the time dimension in the described order configuration step, client's peacekeeping product dimension can mutually combine and use.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011100577725A CN102129621A (en) | 2011-03-11 | 2011-03-11 | Supply chain order configuration method taking profit into account |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011100577725A CN102129621A (en) | 2011-03-11 | 2011-03-11 | Supply chain order configuration method taking profit into account |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102129621A true CN102129621A (en) | 2011-07-20 |
Family
ID=44267699
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011100577725A Pending CN102129621A (en) | 2011-03-11 | 2011-03-11 | Supply chain order configuration method taking profit into account |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102129621A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103927628A (en) * | 2011-08-16 | 2014-07-16 | 上海交通大学 | Order management system and order management method oriented to customer commitments |
| TWI581197B (en) * | 2014-09-30 | 2017-05-01 | 三菱電機股份有限公司 | Method, device and program product for determining order quantity |
| CN106910091A (en) * | 2017-02-23 | 2017-06-30 | 北京小度信息科技有限公司 | Data processing method and device |
| CN104992251B (en) * | 2015-07-17 | 2018-07-31 | 国家电网公司 | A kind of agreement inventory matching optimization distribution method |
| CN113191546A (en) * | 2021-04-29 | 2021-07-30 | 远光软件股份有限公司 | Resource allocation prediction method, resource management device and storage medium |
| CN114493726A (en) * | 2022-04-06 | 2022-05-13 | 萨科(深圳)科技有限公司 | Order monitoring method and monitoring platform |
-
2011
- 2011-03-11 CN CN2011100577725A patent/CN102129621A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103927628A (en) * | 2011-08-16 | 2014-07-16 | 上海交通大学 | Order management system and order management method oriented to customer commitments |
| CN103927628B (en) * | 2011-08-16 | 2017-10-17 | 上海交通大学 | Order management system and order management method that curstomer-oriented is promised to undertake |
| TWI581197B (en) * | 2014-09-30 | 2017-05-01 | 三菱電機股份有限公司 | Method, device and program product for determining order quantity |
| CN104992251B (en) * | 2015-07-17 | 2018-07-31 | 国家电网公司 | A kind of agreement inventory matching optimization distribution method |
| CN106910091A (en) * | 2017-02-23 | 2017-06-30 | 北京小度信息科技有限公司 | Data processing method and device |
| CN113191546A (en) * | 2021-04-29 | 2021-07-30 | 远光软件股份有限公司 | Resource allocation prediction method, resource management device and storage medium |
| CN114493726A (en) * | 2022-04-06 | 2022-05-13 | 萨科(深圳)科技有限公司 | Order monitoring method and monitoring platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102129621A (en) | Supply chain order configuration method taking profit into account | |
| CN107767068A (en) | A kind of lean production high-level plan product plan and method | |
| Mancarella et al. | Arbitrage opportunities for distributed multi-energy systems in providing power system ancillary services | |
| CN109034575A (en) | A kind of jockey's intelligent dispatching method | |
| CN104270421B (en) | A kind of multi-tenant cloud platform method for scheduling task for supporting Bandwidth guaranteed | |
| CN106485441A (en) | A kind of take-away allocator and system | |
| CN103997523B (en) | Smart city operation system and its implementation based on cloud service | |
| CN107016449B (en) | Intelligent manufacturing method based on cross-enterprise dynamic planning and scheduling | |
| US20210049041A1 (en) | Smart scheduling method supporting process task volume splitting | |
| CN104407925A (en) | Dynamic resource distribution method | |
| CN110097203A (en) | Inventory's dispatching method, inventory's dispatching device and computer readable storage medium | |
| CN107578158A (en) | A kind of Order Scheduling optimization method suitable for manufacturing works | |
| CN102521056A (en) | Task allocation device and task allocation method | |
| CN108628665A (en) | Task scheduling based on data-intensive scientific workflow and virtual machine integration method | |
| CN105897864A (en) | Scheduling method for cloud workflow | |
| Saif et al. | Drum buffer rope-based heuristic for multi-level rolling horizon planning in mixed model production | |
| CN105162133A (en) | Reactive power target value allocation method for main transformer of local dispatcher gateway | |
| CN110189040A (en) | A kind of wisdom production scheduled production algorithm | |
| CN103257900B (en) | Real-time task collection method for obligating resource on the multiprocessor that minimizing CPU takies | |
| Wang et al. | Optimal pricing and coordination schemes for the eastern route of the South-to-North water diversion supply chain system in China | |
| CN104576441B (en) | Semiconductor package wiring LOT more rules dispatching methods based on operating area | |
| CN104639631A (en) | MAS (Multi-Agent System) price negotiation-based SDN (Software Defined Network) resource transaction method | |
| CN107918820A (en) | A kind of supply chain order collocation method for considering income | |
| CN103005706A (en) | Automatic sorting and allocation method of cigarettes | |
| Chen et al. | Optimization and coordination of South-to-North Water Diversion supply chain with strategic customer behavior |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20110720 |