EP1497707A4 - System and method for animal feed market analysis - Google Patents
System and method for animal feed market analysisInfo
- Publication number
- EP1497707A4 EP1497707A4 EP03718334A EP03718334A EP1497707A4 EP 1497707 A4 EP1497707 A4 EP 1497707A4 EP 03718334 A EP03718334 A EP 03718334A EP 03718334 A EP03718334 A EP 03718334A EP 1497707 A4 EP1497707 A4 EP 1497707A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- new
- ingredient
- modified
- market
- projected
- 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.)
- Withdrawn
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Classifications
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- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
Definitions
- the present invention relates generally to the field of animal feed market analysis. More particularly, the present invention relates to computerized systems and methods for evaluating the impact of a modification in the nutrient composition of an ingredient or the impact of a new ingredient on the value of the ingredient and the value of competing ingredients in an animal feed market.
- animal feed products are compositions of a large variety of raw materials or ingredients.
- the ingredients can be selected using two criteria. This first criteria is the nutritional composition of the ingredient. The second criteria is the cost of the ingredient.
- the nutritional composition of a feed ingredient can be used in combination with the nutritional composition of every other ingredient in the feed to produce an animal feed that optimizes the growth and production of the animal and/or economic return.
- Animal feed producers have recognized that certain nutritional compositions help animals to grow larger faster than if they used other nutritional compositions. Additionally, animal feed producers have recognized that high amounts of certain nutrients can actually impede the growth rate of an animal. Further, animal feed producers have recognized that optimal nutritional composition changes depending on the developmental stage of the animal in question (e.g. newborn, weaning, gestating) .
- the ideal nutrient composition can also change based on additional factors, including the health of the animal and whether the animal is nursing. Therefore, animal feed producers have recognized that by mixing ingredients to produce an ideal nutritional composition for particular animals at particular growth stages, they can maximize the growth of an animal.
- the second criteria for selecting animal feed ingredients is the cost of the ingredients. Although one ingredient may have an ideal or better nutritional profile, if it can be replaced by lower cost ingredients, it may be desirable to use the lower cost ingredients. Cost of ingredients and growth maximization are balanced against each other. For example, where a high growth rate for a particular animal is not economically advantageous because of, for example, seasonal markets or quantity demand, an animal producer may elect to use a less costly feed that does not produce the same growth rate.
- Raw ingredient producers can attempt to maximize the nutritional composition of their product for the lowest cost.
- Raw ingredient producers often maximize the nutritional composition of the ingredient by either producing a new ingredient or improving the nutritional composition of an existing ingredient.
- raw ingredient producers evaluate the value of the new ingredient or the ingredient with an improved nutritional composition. There is no easy method for predicting value of new ingredients because they are new.
- An exemplary embodiment is related to an animal feed market analysis system for evaluating the impact of a new ingredient or an ingredient that has a modified nutrient composition on the economic value of the ingredient and the economic value of existing ingredients that could substitute for the new or modified ingredient.
- This system can include an input device configured to receive a nutrient profile for the new or modified ingredient, a processor configured to receive the nutrient profile from the input device and perform a calculation based in part on the nutrient profile, and an output device configured to provide a calculation result provided by the processor, wherein the processor is configured to predict a projected economic value of the new or modified ingredient.
- Another exemplary embodiment is related to an animal feed market analysis system operable in a network environment for evaluating the impact of a new ingredient or an ingredient that has a modified nutrient composition on the economic value of the ingredient and the economic value of alternative existing ingredients.
- This system can include a means for receiving a nutrient profile for the new or modified ingredient and a means for predicting the economic value of the new or modified ingredient.
- Another exemplary embodiment is related to a system for providing access to an animal market feed analysis system.
- This system can include using a first processing system to maintain an animal feed market information processing unit, the animal feed market processing unit receiving and processing requests for valuation of a new or modified animal feed ingredient and a second processing system configured to transmit a signal requesting the animal feed market information via a network. The signal can be transmitted by the second processing system in response to selection of a hypermedia link.
- Another exemplary embodiment is related to a system for determining the economic value of a new ingredient or an ingredient with a modified nutrient composition.
- This system can include an input device configured to receive a nutrient profile for a new or modified ingredient from an input device, a data repository configured to access animal feed market conditions, and a processor configured to determine projected economic value for the new or modified ingredient.
- Another exemplary embodiment is related to an animal feed market analysis method for evaluating the impact of a new ingredient or an ingredient that has a modified nutrient composition on the economic value of the ingredient and the economic value of existing ingredients that could substitute for the new or modified ingredient.
- This method can include receiving a nutrient profile for the new or modified ingredient, predicting projected economic value of the new or modified ingredient.
- Another exemplary embodiment is related to a method of enabling access to an animal market feed analysis system.
- This method can include using a first processing system to maintain an animal feed market information processing unit that receives and processes requests for valuation of a new or modified animal feed ingredient, receiving a signal for invoking the animal feed market information processing unit for a remote processing system via a network where the signal is transmitted from the remote processing system in response to a selection of a hypermedia link, and using the first processing system to operate the animal feed market information processing unit in response to the signal.
- Another exemplary embodiment is related to a method of determining the economic value of a new ingredient or an ingredient with a modified nutrient composition.
- This method can include receiving a nutrient profile for a new or modified ingredient from an input device, accessing animal feed market conditions, determining an economic value for the new or modified ingredient.
- FIGURE 1 is a general block diagram illustrating a stand alone computing system in accordance with an exemplary embodiment
- FIGURE 2 is a general block diagram illustrating computers operating in a network environment in accordance with an exemplary embodiment
- FIGURE 3 is a web page in accordance with an exemplary embodiment
- FIGURE 4A is a flow diagram illustrating a method for evaluating the impact of a modification in a nutrient composition of an ingredient or the impact of a new ingredient on the value of the ingredient and the value of competing ingredients in accordance with an exemplary embodiment
- FIGURE 4B is a map depicting regional market designations based on concentrations of types of animals in accordance with an exemplary embodiment
- FIGURE 5 is a general block diagram illustrating a data repository in accordance with an exemplary embodiment.
- FIGURE 6 is a flow diagram illustrating steps in calculating the impact of a modification in the nutrient composition of an ingredient or the impact of a new ingredient on the value of the ingredient and the value of competing ingredients in accordance with an exemplary embodiment.
- a computer system which has a central processing unit (CPU) that executes sequences of instructions contained in a memory. More specifically, execution of the sequences of instructions causes the CPU to perform steps, which are described below.
- the instructions may be loaded into a random access memory (RAM) for execution by the CPU from a read-only memory (ROM), a mass storage device, or some other persistent storage.
- RAM random access memory
- ROM read-only memory
- mass storage device or some other persistent storage.
- hardwired circuitry may be used in place of, or in combination with, software instructions to implement the functions described.
- the embodiments described herein are not limited to any particular source for the instructions executed by the computer system.
- FIGURE 1 illustrates a standalone computer system 400 that can be used to evaluate the impact of a modification in the nutrient composition of an ingredient or the impact of a new ingredient on the value of the ingredient and the value of competing ingredients.
- Computer system 400 can include a processor 420, a visual display unit 430, an input device 440, and an output device 450.
- Standalone computer system 400 can further be associated with a memory storage unit such as data repository 200, described with reference to FIGURE 5, such that computer system 400 can access data stored within data repository 200.
- Computer system 400 can be any type of computing device, including work stations, laptops, notebooks, personal digital assistants (PDAs), or other equipment capable of receiving input from input device 440, accessing data repository 200, executing a series of instructions and providing an output to visual display unit 430 or output device 450.
- Processor 420 can be any type of processor capable of executing instructions, such as an Intel ® Pentium ® processor.
- Visual display unit 430 can be any type of visual display, such as a CRT tube monitor or an LCD display screen.
- Input device 440 can be a keyboard, a touchpad, voice recognition, file transfer, or any other method or apparatus for communicating information to standalone computing system 400.
- Output device 450 can be a laser printer, a dot ⁇ natrix printer, an email program, or any other method or apparatus of communicating information from standalone computing system 400.
- a customer seeking a value analysis for a new or modified ingredient can utilize the methods described with reference to FIGURES 4-6 using computer system 400.
- the customer can use input means 440 to provide necessary inputs.
- Computing system 400 can be used to implement an ingredient valuation system in which processor 420 can receive the inputs, access data repository 200 for additional required information, and perform necessary calculations.
- the results of the analysis can be provided alternatively on visual display unit 430 or output device 450.
- FIGURE 2 illustrates a feed market analysis system 500 to evaluate the impact of a modification in the nutrient composition of an ingredient or the impact of a new ingredient on the value of the ingredient and the value of competing ingredients.
- System 500 can include a first computing system 520, a computer network 530, and a second computing system 540.
- Second computing system 540 further includes a web browsing application 550 capable of displaying a web page 600 provided by first computing system 520, described with reference to FIGURE 3.
- First computing system 520 and second computing system 540 can be any type of computer system, such as standalone computing system 400, discussed in reference to FIGURE 1 .
- Computing system 520 and second computing system 540 further include devices for communicating over network 530.
- first computing system 520 further can be associated with data repository 200 such that first computing system 520 can access data stored within data repository 200.
- network 530 is the Internet, a worldwide network of computer networks that use various protocols to facilitate data transmission and exchange.
- Network 530 can use a protocol, such as the TCP/IP network protocol or the DECnet, X.25, and UDP protocols.
- network 530 can be any type of network, such as a virtual private network (VPN), an Ethernet, or a Netware network.
- network 530 can include a configuration, such as, a wide area network (WAN) or a local area network (LAN).
- Network 530 preferably provides communication with a Hypertext Markup Language (HTML) .
- HTML Hypertext Markup Language
- Web browsing application 550 can be any type of application capable of accessing information stored on other computing systems over network 530. Examples can include applications such as Internet Explorer ® sold by Microsoft Corporation of Redmond, WA or Netscape ® sold by Netscape Communications Inc. of Mountain View, CA. According to an exemplary embodiment, web browsing application 550 can be used to access first computing system 520, to receive data, and to display web page 600. An exemplary web page is described with reference to FIGURE 6.
- a customer seeking to utilize system 500 to evaluate the impact of a modification in the nutrient composition of an ingredient or the impact of a new ingredient on the value of the ingredient and the value of competing ingredients can access second computing system 540 and run web browsing application 550.
- Web browsing application 550 can be directed to retrieve web page 600 from first computing system 520 over network 530.
- web page 600 can be used by the customer to provide necessary inputs.
- the necessary input can include customer ingredient input described with reference to FIGURE 4A.
- an exemplary method of providing information through web page 600 is discussed below in reference to FIGURE 3.
- First computing system can receive the inputs and access data repository 200 to gather information necessary to perform the evaluation of value.
- First computing system 520 can then transfer evaluation results to second computing system 540 over network 530 for display on web page 600.
- web page 600 can require satisfaction of a log on procedure prior to performing the evaluation and transferring evaluation results.
- An example of a log on procedure can include provision of a use name and password in designated text entry boxes provided on web page 600 that correspond with stored values.
- FIGURE 3 illustrates a web page 600 of an exemplary embodiment of web page 600.
- Web page 600 is a visual display of a document written in HyperText Markup Language (HTML) including embedded pictures, links, and data fields.
- Web page 600 can be a single web page or a series of web pages accessed through embedded links in a first web page.
- a first web page in a series can include a username and password access control method to provide customer recognition.
- web page 600 can include a title 603, an instruction set 605, a new or modified ingredient nutrient profile input field 610, a region input field 620, an animal type input field 630, and an output field 640.
- Title 603 can be used to identify the page and include proprietary graphics identifying the source of the page.
- Instruction set 605 can be an information necessary for the customer to utilize the ingredient valuation system and method.
- Input fields 610, 620 and 630 can be implemented as text entry fields, selectable drop down menu field, file transfer points, or any other method in which the necessary information would be inserted for transfer to first computing system 520.
- Output field 640 can be a downloaded file, a spreadsheet embedded object, or any other means in which calculation results transferred from first computing system 520 can be displayed.
- An example could be a spreadsheet populated with the results of the analysis including graphs, charts, and description to explain the calculation results.
- the customer can use web browsing application 550 to access web page 600.
- Web page 600 can be displayed on the visual display unit for second computing system 540.
- the customer can read instruction set 605 to understand how to utilize the ingredient valuation method and web page 600.
- the user can enter data in input fields 610, 620, and 630 with data as described with reference to FIGURE 4A. Once the data is entered, the system can process the information using the method described with reference to FIGURE 4A.
- the results of the ingredient valuation method can be returned to the user in output field 640.
- FIGURE 4A illustrates a flow diagram 100 depicting steps in a method for evaluating the impact of a modification in a nutrient composition of an ingredient or the impact of a new ingredient on the value of the ingredient and the value of competing ingredients.
- a new ingredient can be a new composition of matter that has nutritive properties that can be used in animal feed.
- a modified ingredient can be an existing ingredient with some aspect of its nutrient profile modified.
- a competing ingredient can be an ingredient that can be used as a substitute for the new or modified ingredient, either singly or in combination with other competing ingredients.
- customer ingredient information is received.
- a human operator performs the method and facilitates information transfers and information gathering.
- information can be received by the operator through a person to person communication, either direct or indirect.
- customer ingredient information can be received by a stand alone computer system using any type of input device such as a keyboard, a mouse, a voice recognition system, etc.
- An exemplary stand alone computer system is described with reference to FIGURE 1 .
- customer ingredient information can be received by a computer operating in a network environment. An exemplary network embodiment is described with reference to FIGURE 2.
- the customer ingredient information conveyed by the customer can include a nutrient composition for the new or modified ingredient, a potential market for the new or modified ingredient, and a type of animal targeted to be fed by the new or modified ingredient.
- the nutrient composition of the new or modified ingredient generally can include physical and chemical properties, such as, mineral content, vitamin content, particle size, fiber content, etc.
- a potential market can include a specific geographic area, such as a state or a region, a trade organization, such as a commodities market, or any other type of market.
- the potential market can be a customer definition of the desired market, a customer selection from a finite number of defined markets, or any other method wherein the customer indicates the market to be examined based on any of a variety of criteria.
- FIGURE 4B illustrates a market designation map 1 80 of the United States including a finite set of markets established based upon concentrations of specific types of animals.
- Market designation 1 81 encompasses a geographical area wherein there may be a high concentration of swine producers.
- Market designation 1 82 encompasses a geographical area wherein there may be a high concentration of bovine producers.
- the type of animal targeted to be fed by the new or modified ingredient can be any type of animal, including cows, pigs, turkeys, fish, etc.
- a step 1 20 is performed in which data can be retrieved from a data repository.
- the data can be retrieved from a data repository or obtained from any other source.
- an operator can retrieve the data by referencing the data repository or by using other sources of information.
- the other sources of information can include, but is not limited to, newspapers, the Internet, market reports, trade journals, etc.
- the type of data stored on the repository can be any information necessary or useful in predicting the impact of a new ingredient or a modification in the nutrient composition of an ingredient on the value of the ingredient and the value of competing ingredients.
- Data stored in the data repository can be archived values based upon a study performed yearly.
- An example of this type of data can be projected animal populations within a given region.
- the data repository can be used to access data that updates daily, hourly, or even continuously.
- An example of this type of data can be the prices for competing ingredients. This data can be continuously updated using a polling method or an Internet link to a price indicator in a commodity market as examples.
- a step 1 30 can be performed in which a value is determined for the new or modified ingredient.
- An exemplary value determination is described with reference to FIGURE 6. Generally, the determination can be performed to predict the new value or change in value of a new or modified ingredient based on the inputs given as described above.
- step 1 50 can be performed wherein a new predicted value for competing ingredients is calculated. Following this calculation, step 1 30 can be repeated using the new values for the competing ingredients.
- This loop condition including steps 130, 140 and 1 50, can be repeated until a stable system is established. A stable system is established when ingredient prices within the method will not change in reaction to other ingredient prices.
- a step 1 60 can be performed in which an analysis of the value of the new or modified ingredient is delivered.
- the analysis can be as simplistic or complex as required by the customer.
- An example of a simplistic analysis can be a simple price value at which value will be maximized.
- An example of a complex analysis can include prices at which value is maximized at varying levels of production, prices at which the value of competing ingredients will not be affected, etc.
- the ingredient valuation method can be offered as a service to ingredient producers, researchers, or others.
- the method can be used as an internal evaluation tool.
- Customers, external or internal can be ingredient producers that are considering production of a new ingredient or an ingredient with a modified nutrient composition.
- Customers may also be researchers that are considering development of a new ingredient or a method to improve the nutrient composition of an existing ingredient.
- Potential customers can be any person with a need to know the impact of a modification in the nutrient composition of an ingredient or the impact of a new ingredient on the value of the ingredient and the value of competing ingredients.
- FIGURE 5 illustrates a data repository 200 that can be used to store information that can be used in determining the value of a new or modified ingredient.
- information in data repository 200 is related to potential markets in which a customer may be intending to sell the new or modified ingredient.
- Data repository 200 can be a computer including memory, a database, a computer file, a paper file, or any other device or apparatus capable of facilitating storage and retrieval of data.
- data repository 200 can include a variety of files, such as regional ingredient file 210, a regional ingredient price file 220, a regional ingredient bias file 230, a stage- based formulation file 240, and an animal population file 250.
- Other data that may affect the valuation can also be included or reflected in the above mentioned categories of information.
- Regional ingredient file 21 0 can be a record of ingredients currently or projected to be available in a region.
- Example ingredients include corn, wheat, wheat midds, lysine, HCL, and high protein soy meal. This information can be obtained using market reports, expert input, or any other source.
- the region for a particular entry in regional ingredient file 210 can be designated by the customer or chosen from a predefined listing.
- Regional ingredient file 210 can be an archived file created and stored in data repository 200. This file can be updated as necessary to reflect current or projected conditions in the market.
- regional ingredient file 210 can also include a nutrient composition for the ingredients available in the region.
- the nutrient composition can include physical and chemical properties, such as, mineral content, vitamin content, particle size, fiber content, etc.
- Regional ingredient price file 220 can be a file of the prices of the ingredients in regional ingredient file 210.
- the prices can be the price of the delivered ingredient.
- prices can include historical, current, and projected values.
- Historical price information can be obtained from existing records.
- Current prices can be obtained from any listing, such as, the newspaper, a web listing, or any other source reporting the current price of ingredients. Projected values can be obtained by extrapolating from historical prices based on any relevant current conditions.
- Regional ingredient price file 220 can be an archived file stored in data repository 200.
- regional ingredient price file 220 can be a link to information reflecting the most current ingredient prices. This link may be provided by telephone, a newspaper, the Internet, or any other means.
- storing and allowing retrieval of a variety of pricing information allows the customer to predict a value using the information that is most suitable to meet their needs.
- Regional ingredient bias file 230 can be a listing of weights to be given to ingredient in calculating projected use. According to an exemplary embodiment, the weighting can include a minimum value for the amount of an ingredient that is used in a region. An example of weights can be that a thousand metric tons of corn is used in an upper Iowa region regardless of any cost inefficiencies.
- regional ingredient bias file 230 accounts for a regional bias in which market participants tend to use a given ingredient at a level that is not economically optimal. This value can be created using analysis of past market trends, expert predictions, or any other method.
- Regional ingredient bias file 230 can be stored values in a file within data repository 200.
- Stage-based nutrient requirement file 240 can be a file of the nutrient requirements for different types of animals at various stages of development and health. Examples of stages of development and health can include newborn, weaning, young, maturing, gestating, or any other differentiation that can reflect different nutrient requirements. Generally, the nutrient requirements for a newborn animal or a gestating animal are significantly different from the requirements for a healthy adult animal. For example, a gestating animal may need a formulation that includes a high concentration of calcium to promote development of the fetus.
- stage-based nutrient requirement file 240 can also include the volume of feed consumed by an animal at a given stage. This value can be obtained based on historical record or expert testimony. An example can be that gestating pigs consume 1 50 pounds of feed per month.
- Stage-based nutrient requirement file 240 can be an archived file stored in data repository 200.
- Animal population file 250 can be a listing of the animal populations in a region. Examples can include the number of swine, the number of cows, etc. Animal population file 250 can also be divided into subgroups based on the stage of development of the animals in the population as discussed above in reference to stage-based nutrient requirement file 250.
- animal population file 250 can also include historical, current and projected values.
- the historical and current values can be obtained fropn any source such as a regional department of agriculture report.
- the projected population can be extrapolated from the historical values based on current conditions.
- Animal population file 250 can also incorporate a market penetration concept, such that only a subset of the total animal population is used in calculating demand based on anticipated market penetration.
- a subset of the animal population may be fed using only locally grown ingredients. Accordingly, the locally fed subset would be excluded in calculating projected demand.
- stage-based nutrient requirement file 240 and animal population file 250 allows for calculation of the projected demand for ingredients based on the nutrient requirements for the animal population within a given region. This calculation can be performed using the formulation methods described below in reference to FIGURE 6.
- FIGURE 6 illustrates a flow chart 300 of steps in a method of calculating the value of a new or modified ingredient.
- a step 31 data gathered on customer ingredients can be evaluated.
- One example of gathering ingredient information is described with reference to steps 1 1 0 and 1 20 in FIGURE 4A.
- the data is evaluated to detect any aberrations or departures from the normal that would skew a valuation analysis. This analysis can be performed with a linear regression analysis or similar method. Any aberrant values can be reexamined or discarded from the sample set.
- a step 320 can be performed in which information from a memory storage device and information received from the customer are used as inputs to a least cost formulation system.
- a least cost formulation system determines an ideal mix of ingredients, including the new or modified ingredient, that satisfies a set of nutrient requirements for the lowest possible cost.
- the set of nutrient requirements is the nutrient requirement for a specific animal at a specific stage of development, as described in reference to FIGURE 5.
- Least cost formulation systems are well known to those of skill in the art.
- the least cost formulation can be performed for each of the stages of development of the animal targeted.
- completing formulations for each of the stage of development of the animal target allows for a more complete prediction of demand.
- step 320 After step 320, a determination can be made in a step 330 to determine whether the formulation satisfies feasibility and wholesomeness requirements. If the formulation is not satisfactory, step 320 can be repeated including additional constraints to improve wholesomeness or feasibility as needed.
- step 340 Following the determination in step 330 that the formulation is satisfactory, a determination can be made in a step 340 whether the ingredient to be examined is an existing ingredient with a modified nutrient composition or a new ingredient.
- step 350 can be performed.
- the ideal formulations calculated in step 320 can be analyzed in a least cost formulation system.
- the least cost formulation system calculates ideal feed mix for a variety of formulations based upon market constraints such as production costs, speed of production, ingredient availability, etc.
- An example of a least cost formulation system is Multi-Mix sold by Format International, Limited, Woking, England.
- use of a least cost formulation analysis allows evaluation of the modified ingredient in several formulations to be performed simultaneously.
- projected usage rates for all of the ingredients used an inputs to the calculation can be provided.
- step 360 can be performed.
- a least cost formulation analysis can be performed using the ideal formulations calculated in step 320 and including only commodities specific to the region.
- an additional least cost formulation analysis can be performed using the ideal formulations calculated in step 320 and including the new ingredient in addition to commodities specific to the region.
- the new ingredient can be assigned the same price as an existing ingredient with a similar nutrient composition.
- this step provides a realistic starting valuation for a new ingredient.
- projected usage rates for all of the ingredients used an inputs to the calculation can be provided.
- a parametric analysis can be performed on the output from the two least cost formulation analyses to predict optimal prices for the new ingredient.
- a parametric analysis is an examination of the data sets to determine prices above which usage rates drop dramatically. For example, the usage rate may slowly decrease until a price of $2.00/pound, but at $2.25/pound, the usage rate decreases dramatically as users switched to a cheaper alternative. The optimal price may therefore be $2.00/pound. The optimal price is then used as the new ingredient price in a final least cost formulation calculation.
- a step 370 can be performed in which the usage rates calculated in the least cost formulation operations are used to calculate the total value created by the introduction of the new or modified ingredient.
- the calculations can be used to generate an output spreadsheet.
- the output spreadsheet can be used to show the volume of the new or modified ingredient used within the least cost formulation system along with the premium received above the compared commodity.
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Abstract
Description
Claims
Applications Claiming Priority (5)
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US122256 | 2002-04-12 | ||
US10/122,256 US20030195758A1 (en) | 2002-04-12 | 2002-04-12 | System for animal feed market analysis |
US122283 | 2002-04-12 | ||
US10/122,283 US20030195792A1 (en) | 2002-04-12 | 2002-04-12 | Method of animal feed market analysis |
PCT/US2003/011151 WO2003087999A2 (en) | 2002-04-12 | 2003-04-10 | System and method for animal feed market analysis |
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EP1497707A2 EP1497707A2 (en) | 2005-01-19 |
EP1497707A4 true EP1497707A4 (en) | 2007-10-31 |
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US8301483B2 (en) | 2008-01-16 | 2012-10-30 | The Procter & Gamble Company | Modeling system and method to predict consumer response to a new or modified product |
WO2009135527A1 (en) * | 2008-05-07 | 2009-11-12 | Foss Analytical A/S | Feedstuff formulations |
CN104021313B (en) * | 2014-06-25 | 2017-06-09 | 四川省畜牧科学研究院 | The evaluation method of feed nutrition economic worth |
CN117455528A (en) * | 2023-10-20 | 2024-01-26 | 广州慧正智联科技有限公司 | New material price trend analysis method and system based on big data |
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US3626377A (en) * | 1970-08-11 | 1971-12-07 | Arizona Feeds | Matrix generator for use in solving feed formulation problems |
CA1329849C (en) * | 1989-01-03 | 1994-05-24 | Blair Gordon | Computerized monitoring system for animal feed ration processing mills |
US6076043A (en) * | 1993-09-22 | 2000-06-13 | American Institute Of Nutrition And Management | Utilization effectiveness of nutrients in a population |
EP1207760B1 (en) * | 1999-08-31 | 2006-07-26 | Adisseo France S.A.S. | Improvements in or relating to the production of animal feed |
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2003
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- 2003-04-10 CN CN 03813488 patent/CN1659565A/en active Pending
- 2003-04-10 BR BR0309177-5A patent/BR0309177A/en not_active IP Right Cessation
- 2003-04-10 EP EP03718334A patent/EP1497707A4/en not_active Withdrawn
- 2003-04-10 CA CA002481061A patent/CA2481061A1/en not_active Abandoned
- 2003-04-10 WO PCT/US2003/011151 patent/WO2003087999A2/en not_active Application Discontinuation
- 2003-04-10 AU AU2003221877A patent/AU2003221877A1/en not_active Abandoned
- 2003-04-11 AR ARP030101291 patent/AR039300A1/en not_active Application Discontinuation
Non-Patent Citations (1)
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AU2003221877A8 (en) | 2003-10-27 |
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