WO1999045450A2 - Processus de fabrication informatise telecommandable et systeme de gestion, verification et questionnement - Google Patents

Processus de fabrication informatise telecommandable et systeme de gestion, verification et questionnement Download PDF

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Publication number
WO1999045450A2
WO1999045450A2 PCT/US1999/004674 US9904674W WO9945450A2 WO 1999045450 A2 WO1999045450 A2 WO 1999045450A2 US 9904674 W US9904674 W US 9904674W WO 9945450 A2 WO9945450 A2 WO 9945450A2
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WO
WIPO (PCT)
Prior art keywords
information
audit request
processing means
request processing
calculating
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.)
Ceased
Application number
PCT/US1999/004674
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English (en)
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WO1999045450A3 (fr
Inventor
Daniel Czuba
David Carter
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Rockford Powertrain Inc
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Rockford Powertrain Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Rockford Powertrain Inc filed Critical Rockford Powertrain Inc
Priority to AU29806/99A priority Critical patent/AU2980699A/en
Publication of WO1999045450A2 publication Critical patent/WO1999045450A2/fr
Anticipated expiration legal-status Critical
Publication of WO1999045450A3 publication Critical patent/WO1999045450A3/fr
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders

Definitions

  • a computerized manufacturing process and inventory control auditing and querying system for a manufacturing operation.
  • the manufacturing operation preferably utilizes a computerized manufacturing process and inventory control program which processes customer orders, generates external purchase orders and internal work orders, manages inventory, and generates an anticipated ship date for the completion of the customer order.
  • This manufacturing process and inventory control program typically adjusts the anticipated ship date in consideration of work-in-process information which is entered into the system during the manufacturing process by distributed users.
  • the manufacturing process and inventory control program generally utilizes at least one computer database for storage and retrieval of customer information, inventory control, operating schedule information, and part assembly information.
  • the computerized manufacturing process and inventory control auditing and querying system comprises a user interface which receives and ensures the integrity of a user query. This interface generates an audit request in response to the user query.
  • the system also comprises an audit request processor which calculates a confidence factor representing a probability of completing a customer order by the anticipated ship date generated by the computerized manufacturing process and inventory control program in reliance in part on a production function model used to calculate the actual process time required to complete a manufacturing order.
  • the audit request processor interfaces with the computer database of the computerized manufacturing system and the production function model and extracts customer, inventory control, operation process time, operation scheduling, and part assembly information.
  • the audit request processor examines raw material availability information, manufacturing scheduling information, process time remaining for completion of the customer order information, and calendar time remaining before the anticipated ship date, to calculate the confidence factor as a function thereof.
  • the audit request processor displays raw material information, work in process information, requirements for and status of outside work information extracted from the computerized manufacturing system database to substantiate the calculated confidence factor.
  • the user interface further receives and ensures the integrity of another user query, generating a second audit request identifying at least one part.
  • the audit request processor is responsive to this second audit request for calculating a full lead time available-to-promise date for the part.
  • the audit request processor examines the computerized manufacturing system database to determine what, if any, component parts are required to manufacture the part. It also extracts process time information from the production function model for each component part required to manufacture the part and combines the process times for completion of the part, assuming no availability of the parts, component parts, or raw material. The full lead time available-to- promise date is calculated as a function of these values.
  • the user interface further receives and ensures the integrity of a third user query, generating a third audit request in response which identifies at least one part.
  • the audit request processor is responsive to this audit request for calculating a number of the parts which are available- to-assemble.
  • the audit request processor examines the database of the computerized manufacturing system to determine what, if any, component parts are required to manufacture the part, and to determine what component parts are available.
  • the audit request processor calculates a number of the parts which may be manufactured from the given availability of component parts .
  • a preferred embodiment of the instant invention includes a method of remotely auditing and querying a computerized manufacturing process and inventory control system, comprising the steps of (a) receiving a user query containing user information; (b) extracting information from the computerized manufacturing process system relating to the user information; and (c) calculating actual process time for the user order; and (d) calculating a confidence factor based on the extracted information and the calculated actual process time information, the confidence factor representing a probability of completing a customer order by an anticipated ship date previously generated by the computerized manufacturing process system.
  • a preferred method further comprises the steps of (e) receiving a second user query containing manufactured part information; (f) extracting information from the computerized manufacturing process system relating to the manufactured part information; (g) calculating actual process time for the customer order; and (h) calculating an available-to-promise date based on the extracted information, the available-to- promise date representing the total manufacturing lead time required to complete the manufactured part. Additionally, a preferred method further comprises the steps of (i) receiving a third user query containing manufactured part information; (j) extracting information from the computerized manufacturing process system relating to the manufactured part information; and (k) calculating a quantity of the manufactured part which is available-to-assemble based on the extracted information. This available-to-assemble quantity represents the total number of manufactured parts which may be completed with current inventory of component parts.
  • FIG. 1 is a block diagram illustrating the functional connection with an ERP/MRP computerized manufacturing system
  • FIG. 2 is a communications schematic diagram 8
  • the ERP/MRP system 100 is continually updated through work-in-process information transmitted by users of the manufacturing process through terminals 112 distributed throughout the manufacturing facilities. This work in process information is used by the ERP/MRP system 100 to monitor the progress of the manufactured product through the entire manufacturing system, including parts, orders, and deliveries from outside vendors.
  • a preferred embodiment of the system of the instant invention preferably interfaces with the existing computerized ERP/MRP system 100, which may be the GloviaTM system or other system as appropriate or desired.
  • the selection of the particular ERP/MRP system 100 does not limit the scope of the instant invention.
  • the manufacturing process and inventory control, auditing, and querying system 114 utilizes information in the storage and organizational structure of the ERP/MRP database 108 to avoid duplication and excess storage requirements for the required information used to process the outputs from the system 114.
  • the system of the instant invention may also utilize its own internal database for storage and retrieval of required information as may be preferred.
  • the computerized manufacturing process and inventory control auditing and querying system 114 includes an order inquiry module 116, a customer available-to-promise module 118, and a customer available-to-assemble module 120.
  • Each of these functional modules are preferably implemented in software, although other implementations possible and are acceptable. Additionally, the use of the term "module" is not meant to limit the implementation of the instant invention to a particular programming technique, and any implementation or other means performing the 11 described functions are included in the scope of the invention.
  • Each of these modules may be initiated by a customer input through a remote terminal location 122.
  • Each of the modules 116, 118, and 120 of the system 114 extracts information from the ERP/MRP database 108 such as, for example, customer location information, inventory control information, and part assembly information.
  • the operation process time information may be extracted from the ERP/MRP database 108, or may preferably be extracted from a production function model 109 which calculates the actual process time to complete a manufacturing order based on actual historical performance as will be described more fully below.
  • This information is used in conjunction with the customer input to generate confidence reports 124, available-to-promise reports 126, and available-to- assemble reports 128. Each of these reports contain information in response to certain queries initiated by the remote user 122 as will also be described more fully below.
  • the hardware architecture of the remote customer connection may take the form as illustrated in FIG. 2.
  • the remote customer terminal 122 is connected via modems 123 and 125 to the system data communications and terminal controller (DTC) 130 which performs the security functions of password and name authorization.
  • the DTC 130 also performs certain data handling and formatting functions and passes the customer connection across the backbone 133, through any hub 131 which may be present, and through the HP9000 computer 132 which provides the connection to the mainframe 134 on which the ERP/MRP system 100 is resident.
  • Remote customer accessing such as illustrated in this figure may be accomplished through the commercially available application program Procom TM, or 12 other commercially available interfacing software packages.
  • the remote customer access may be accomplished as illustrated in FIG. 3.
  • the remote customer terminal 122 is connected via modem 123 through a traq net unit 136 which performs the security functions and audit trail generation, requiring a number and password to gain access thereto.
  • the traq net 136 then passes the customer connection through the DTC 130 and HP9000 132 as described above, also requiring name and password security functions to be satisfied before connecting the remote user to the system network 138 which may be, for example, a Novell network.
  • the customer Once on the network 138, the customer then has access, typically through a menu selection, to the system mainframe 134 on which the ERP/MRP system 100 is resident.
  • remote customer connection may also be accomplished via the Internet as is known in the art. This interface may be accomplished through secured customer pages accessible only with appropriate password recognition as desired.
  • a customer request for access 142 is received 144 by the system.
  • the system then performs the customer identity security functions 146 to ensure integrity and confidentiality of the manufacturing information which will be provided by the various reports as outputs from the system.
  • a 13 termination screen 150 displaying, e.g., the customer service telephone number will be displayed if the input information is not valid.
  • the system will then terminate the connection 152 with that particular user. If, however, a valid customer identification is obtained, the system will display the query selection screen 154.
  • the remote customer then initiates a selection 156 which is received 158 by the system.
  • An embodiment of the instant invention provides for four options for the customer selection from the query selection screen. These selections include a termination from the system, in which case the system displays the exit screen 160 and proceeds thereafter to terminate the connection 162 with the remote user before ending its processing 164. Additionally, the remote customer may select the order inquiry function 166, the customer item available-to-promise function 168, or the customer item available-to-assemble function 170.
  • the customer order inquiry function 166 see FIG. 5
  • the customer site location screen is displayed 172. From this customer site location screen the customer selects the appropriate site 174 which is received by the system 176. In response to the particular customer site selection received 176, the system extracts customer order information for the selected site 178 from the ERP/MRP database 108.
  • the system then extracts the ERP/MRP information for that selected site 180 including inventory control information, purchase order information, and part assembly information. Additionally, the system extracts operation process time information for completion of the manufactured part from the production function model 109. At this point, the system calculates a confidence 14 factor for each of the orders logged in the ERP/MRP system for the particular selected site. This confidence factor calculation 194 requires two separate calculations to be performed as a prerequisite thereof. First, the system calculates the purchased material schedule delta 182 which compares the scheduled purchased material in date with the actual calendar date.
  • This calculation figures the calendar delta between the required date to start assembly of the manufactured item (the derivation of which will be described below) for the particular purchase order for the site selected by the user with the scheduled delivery date from the sub-component or raw material supplier.
  • the system extracts 184 a probability index from a probability index table 186.
  • the relationship between the calendar delta and the probability index is based on historical performance of the manufacturing facility, taking into account a myriad of factors, including staffing, work schedules, equipment maintenance, etc.
  • This probability index is then input to the confidence factor calculation process block 194.
  • the second input for the confidence factor calculation 194 comes from a calculation of the manufactured parts calendar delta ratio calculation 188 which compares the calendar delta of the date to shipment versus the actual process time for the manufactured part.
  • the determination of the actual process time for the manufactured part to be used to calculate the confidence factor is based on a production function model 109.
  • This model 109 is based on the historical performance of each workstation in the manufacturing environment, and is updated periodically to ensure validity of the prediction data. Because the environment in a manufacturing facility is continuously 15 changing due to machine maintenance, set-up and down time, new equipment installation and training time, personnel vacations and sick time, et cetera, the model is preferably updated approximately every six months.
  • the model utilizes a multiple regression technique to generate a mean prediction of the actual process time which will be required to complete a manufactured item taking into account a feed back production time error based on the prior prediction.
  • model is based on actual historical data from the prior period as modified by the feed back model data, real life effects such as actual machine set up time and personnel learning curves are reflected in the output as is evidenced by the variation of "actual process time” to complete a manufacturing task based on lot size of the order. A small order of a part will have a greater time per unit to complete than a larger run of the exact same part.
  • the ratio which is calculated in process block 188 divides the time required for actual processing of the manufactured component by the calendar time left until the anticipated promised ship date for the manufactured part to the customer.
  • the system extracts a probability index 190 from a probability index table 192.
  • This probability index is then input to the confidence factor calculation 194 which averages these two probability indices to determine a confidence factor that the manufactured part will actually be shipped on the date promised with a given level of confidence. It should be noted that if there are no purchased components required, the purchased material schedule delta calculation 182 is not used in the confidence factor calculation 194. Once this information has been calculated it is then 16 displayed 196 on a confidence factor screen.
  • the customer may make a selection 198 (see FIG. 6) which will be received by the system 200.
  • the first of the acceptable selections is to return 202 to the initial query selection screen 154 (see FIG. 4) from which the customer may then select any of the four available options .
  • the customer may choose to display 204 the process detail information for any selected order included on the confidence factor screen.
  • the customer may return 206 to the confidence factor screen 196, from which he may select any of the available options including displaying process detail information for a different selected order.
  • the customer may select customer available-to-promise information for a particular selected order, in which case the system extracts 208 the selected part manufacturing information from the
  • This extracted information includes the inventory control information, operation process time information, and part assembly information for the selected order.
  • the system calculates the full lead time for the selected part 210, the excess stock availability for the selected part 212, and the forecast date for the selected part 214, all of which is then displayed 216 in an available-to-promise information screen for the selected part. From this available-to-promise screen for the selected part the customer may jump 206 back to the confidence factor screen 196 from which he may make any of the available selections including extracting available-to-promise information for a different selected part. 17
  • a customer location and part number screen would be displayed 218 (see FIG. 7) . From this screen the customer will input 220 a selected location and part number which will be received 222 by the system. The part number identifies a particular part for which the customer desires the available-to-promise information. Once this information has been received 220 the system then extracts 224 part number information from the ERP/MRP database 108 and actual processing time for the part from the production function model 109.
  • the system calculates 226 the full lead time assuming no availability of components or raw material for the part, the actual excess stock availability for the selected part 228, and an actual forecast date for the selected part 230. Once these calculations have been completed, the available-to-promise information will be displayed 232 to the remote customer. From this screen, the system receives 234 the customer input selection 236 which will allow the customer to either return 202 to the main query selection screen 154 (see FIG. 4) , or will allow the customer to return 238 to the main customer available-to-promise location screen 218 from which the customer may enter a different part number on which he wishes the available-to-promise information to be calculated. With reference again to FIG.
  • the other selection available to the customer from the main query selection screen in this exemplary embodiment of the instant invention is the customer available-to-assemble selection 170 (see FIG. 8) .
  • the system displays a customer location 18 screen 240 which includes not only the customer site location but also input availability for part number information. From this customer location screen the system receives 242 the customer input 244 which includes both location and requested part number information. From this part number information the system extracts 246 information regarding that part number from the ERP/MRP database 108 and actual process time information from the production function model 109.
  • the system calculates 248 the quantity available-to- assemble of the selected part number in view of the material available in the manufacturing process at the time. This information is then displayed 250 on the customer available-to-assemble screen. From this screen the system receives 252 customer input 254 which allows the customer either to return 202 to the main query selection screen 154 (see FIG. 4), or to return 256 to the input customer location screen 240 to allow the customer to query the quantity available-to-assemble information for other part numbers.
  • the probability index table 192 for the manufactured parts as used by the system in the calculation of the calendar delta ratio (see FIG. 5) is illustrated in FIG. 9.
  • the probability index table 192 includes a sequence number, a start and an end number which defines a delta range, and a probability number indicated as a percentage, pre-selected to correspond to a particular sequence number range. As an example, if the time required to manufacture a particular component divided by the time left to the promise date is within the 19
  • the system will generate the available-to-promise information as described above and display this information on the customer available-to-promise screen shown in FIG. 16.
  • This screen displays the selected part as well as the calculated full lead-time by date and number of days from the receipt of an order. Also displayed on this screen are the forecast dates and quantities of parts which are currently in the ERP/MRP system to be manufactured and which may be available to this particular customer.
  • the screen illustrated in FIG. 17 would be displayed. As with the available-to-promise location screen, this screen also requires that the customer input part number information. After the customer has input the customer item number, the system calculates and displays all components required for the assembly of the particular selected customer item, the requirements for this assembly, the total of the required components on hand, the quantity of the required components per assembly of the selected part, the quantity actually available for use in an assembly for this particular customer, and the total quantity of parts which may be made from the quantity of components on hand.

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Abstract

L'invention porte sur un procédé informatisé de fabrication, et sur un système de vérifications et de recherches sur inventaire associées à des opérations de fabrication basé sur un programme informatique de commande du processus de fabrication, qui traite les ordres des clients, établit les achats extérieurs et les instructions internes de travail, gère l'inventaire, calcule la date d'expédition et d'achèvement de la commande et rectifie la date d'expédition prévue en fonction d'informations sur l'avancement du travail introduites dans le système en cours de fabrication. Le système comporte également une interface recevant les questions de l'utilisateur en totalité, et y répondant par une demande de vérification. Le système comporte en outre des modules traitant les demandes de vérification reçues et établissant le facteur de certitude, et le délai total de production pouvant être promis, et le nombre des pièces fabriquées de l'inventaire prêtes à assembler. Le facteur de certitude représente la probabilité d'achever la commande d'un client à la date calculée par le programme informatisé de gestion du processus de fabrication. Le système, qui peut se télécommander, est actualisé en continu pendant la fabrication. Des informations détaillées concernant le calcul du facteur de certitude sont par ailleurs disponibles.
PCT/US1999/004674 1998-03-04 1999-03-04 Processus de fabrication informatise telecommandable et systeme de gestion, verification et questionnement Ceased WO1999045450A2 (fr)

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Application Number Priority Date Filing Date Title
AU29806/99A AU2980699A (en) 1998-03-04 1999-03-04 Remotely accessible computerized manufacturing process and inventory control auditing and querying system

Applications Claiming Priority (2)

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US3476698A 1998-03-04 1998-03-04
US09/034,766 1998-03-04

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WO1999045450A3 WO1999045450A3 (fr) 2008-03-13

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* Cited by examiner, † Cited by third party
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US7337131B2 (en) * 2000-09-07 2008-02-26 Seiko Epson Corporation Turn-around time information management system, storage medium, and turn-around time information management method
US7343315B2 (en) * 2004-03-08 2008-03-11 Sap Aktiengesellschaft System and method of efficient scheduling and processing of purchase orders
CN100375426C (zh) * 2003-10-17 2008-03-12 国际商业机器公司 提供关于需求定单的信息的方法和系统
US7548900B2 (en) 2006-11-30 2009-06-16 Sap Ag Systems and methods for data management
US7647250B2 (en) 2004-03-08 2010-01-12 Sap Ag Method and program product for event monitoring
US7660742B2 (en) 2004-03-08 2010-02-09 Sap Aktiengesellschaft Method of and system for processing purchase orders
US7676443B2 (en) 2006-11-17 2010-03-09 Sap Ag System and method for processing data elements in retail sales environment
US7693749B2 (en) 2004-03-08 2010-04-06 Sap Ag System and computer product for managing purchase orders
US7724890B1 (en) 2005-09-07 2010-05-25 Sap Ag Focused retrieval of selected data in a call center environment
US7730051B2 (en) 2007-07-23 2010-06-01 Sap Aktiengesellschaft System and method for embedded expression assignment
US7730052B2 (en) 2007-07-23 2010-06-01 Sap Aktiengesellschaft System and method for providing a virtual item context
US7739203B2 (en) 2004-03-08 2010-06-15 Sap Aktiengesellschaft Method and system for classifying retail products and services using price band categories
US7742948B2 (en) 2004-03-08 2010-06-22 Sap Aktiengesellschaft Method of and system for allocating an OTB-relevant purchasing contract
US7752067B2 (en) 2004-03-08 2010-07-06 Sap Aktiengesellschaft System and method for assortment planning
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US7813949B2 (en) 2004-03-08 2010-10-12 Sap Ag Method and system for flexible budgeting in a purchase order system
US7831487B2 (en) 2004-03-08 2010-11-09 Sap Ag Method and system for scheduling purchase orders
US7853491B2 (en) 2004-03-08 2010-12-14 Sap Ag Purchase orders based on purchasing list, capacity plans, assortment plans, and area spread assortment plans
US7983962B2 (en) 2004-03-08 2011-07-19 Sap Aktiengesellschaft Method and system for purchase order data entry
US8027886B2 (en) 2004-03-08 2011-09-27 Sap Aktiengesellschaft Program product for purchase order processing
US8046273B2 (en) 2004-03-08 2011-10-25 Sap Ag System and method for purchase order creation, procurement, and controlling
US8050956B2 (en) 2004-03-08 2011-11-01 Sap Ag Computer-readable medium, program product, and system for providing a schedule bar with event dates to monitor procurement of a product
US8050990B2 (en) 2004-03-08 2011-11-01 Sap Ag Method of and system for generating purchase orders using an auction process
US8099337B2 (en) 2007-06-19 2012-01-17 Sap Ag Replenishment planning management
US8108270B2 (en) 2004-03-08 2012-01-31 Sap Ag Method and system for product layout display using assortment groups
US8255870B2 (en) 2006-08-31 2012-08-28 Sap Aktiengesellschaft Application access for support users
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US8370184B2 (en) 2004-03-08 2013-02-05 Sap Aktiengesellschaft System and method for assortment planning
US8380568B2 (en) * 2003-09-26 2013-02-19 Jda Software Group, Inc. Distributing consumer demand upstream in a supply chain
US8392231B2 (en) 2004-03-08 2013-03-05 Sap Aktiengesellschaft System and method for performing assortment definition
US8423428B2 (en) 2004-03-08 2013-04-16 Sap Ag Method for allocation of budget to order periods and delivery periods in a purchase order system
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Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5787000A (en) * 1994-05-27 1998-07-28 Lilly Software Associates, Inc. Method and apparatus for scheduling work orders in a manufacturing process
JP3315844B2 (ja) * 1994-12-09 2002-08-19 株式会社東芝 スケジューリング装置及びスケジューリング方法

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US7337131B2 (en) * 2000-09-07 2008-02-26 Seiko Epson Corporation Turn-around time information management system, storage medium, and turn-around time information management method
US8185451B2 (en) 2000-09-07 2012-05-22 Seiko Epson Corporation Turn-around time information management system, storage medium, and turn-around time information management method
US8380568B2 (en) * 2003-09-26 2013-02-19 Jda Software Group, Inc. Distributing consumer demand upstream in a supply chain
CN100375426C (zh) * 2003-10-17 2008-03-12 国际商业机器公司 提供关于需求定单的信息的方法和系统
US7853491B2 (en) 2004-03-08 2010-12-14 Sap Ag Purchase orders based on purchasing list, capacity plans, assortment plans, and area spread assortment plans
US8046273B2 (en) 2004-03-08 2011-10-25 Sap Ag System and method for purchase order creation, procurement, and controlling
US8788372B2 (en) 2004-03-08 2014-07-22 Sap Aktiengesellschaft Method and system for classifying retail products and services using characteristic-based grouping structures
US7693749B2 (en) 2004-03-08 2010-04-06 Sap Ag System and computer product for managing purchase orders
US8639548B2 (en) 2004-03-08 2014-01-28 Sap Aktiengesellschaft System and method for assortment planning
US8423428B2 (en) 2004-03-08 2013-04-16 Sap Ag Method for allocation of budget to order periods and delivery periods in a purchase order system
US8392231B2 (en) 2004-03-08 2013-03-05 Sap Aktiengesellschaft System and method for performing assortment definition
US7739203B2 (en) 2004-03-08 2010-06-15 Sap Aktiengesellschaft Method and system for classifying retail products and services using price band categories
US7742948B2 (en) 2004-03-08 2010-06-22 Sap Aktiengesellschaft Method of and system for allocating an OTB-relevant purchasing contract
US7752067B2 (en) 2004-03-08 2010-07-06 Sap Aktiengesellschaft System and method for assortment planning
US7788124B2 (en) 2004-03-08 2010-08-31 Sap Aktiengesellschaft System and method for assortment planning
US7343315B2 (en) * 2004-03-08 2008-03-11 Sap Aktiengesellschaft System and method of efficient scheduling and processing of purchase orders
US7813949B2 (en) 2004-03-08 2010-10-12 Sap Ag Method and system for flexible budgeting in a purchase order system
US7831487B2 (en) 2004-03-08 2010-11-09 Sap Ag Method and system for scheduling purchase orders
US7647250B2 (en) 2004-03-08 2010-01-12 Sap Ag Method and program product for event monitoring
US7983962B2 (en) 2004-03-08 2011-07-19 Sap Aktiengesellschaft Method and system for purchase order data entry
US8027886B2 (en) 2004-03-08 2011-09-27 Sap Aktiengesellschaft Program product for purchase order processing
US7660742B2 (en) 2004-03-08 2010-02-09 Sap Aktiengesellschaft Method of and system for processing purchase orders
US8050956B2 (en) 2004-03-08 2011-11-01 Sap Ag Computer-readable medium, program product, and system for providing a schedule bar with event dates to monitor procurement of a product
US8050990B2 (en) 2004-03-08 2011-11-01 Sap Ag Method of and system for generating purchase orders using an auction process
US8370185B2 (en) 2004-03-08 2013-02-05 Sap Aktiengesellschaft System and method for performing assortment planning
US8108270B2 (en) 2004-03-08 2012-01-31 Sap Ag Method and system for product layout display using assortment groups
US8117078B2 (en) 2004-03-08 2012-02-14 Sap Ag Method and program product for event monitoring
US8370184B2 (en) 2004-03-08 2013-02-05 Sap Aktiengesellschaft System and method for assortment planning
US8285584B2 (en) 2004-03-08 2012-10-09 Sap Ag System and method for performing assortment planning
US8655697B2 (en) 2004-04-16 2014-02-18 Sap Aktiengesellschaft Allocation table generation from assortment planning
US7724890B1 (en) 2005-09-07 2010-05-25 Sap Ag Focused retrieval of selected data in a call center environment
US8255870B2 (en) 2006-08-31 2012-08-28 Sap Aktiengesellschaft Application access for support users
US8484554B2 (en) 2006-08-31 2013-07-09 Sap Ag Producing a chart
US7676443B2 (en) 2006-11-17 2010-03-09 Sap Ag System and method for processing data elements in retail sales environment
US7548900B2 (en) 2006-11-30 2009-06-16 Sap Ag Systems and methods for data management
US8099337B2 (en) 2007-06-19 2012-01-17 Sap Ag Replenishment planning management
US7809707B2 (en) 2007-07-23 2010-10-05 Sap Ag System and method for identifying element usage in a deep element structure
US7730052B2 (en) 2007-07-23 2010-06-01 Sap Aktiengesellschaft System and method for providing a virtual item context
US7730051B2 (en) 2007-07-23 2010-06-01 Sap Aktiengesellschaft System and method for embedded expression assignment

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