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Enhancement components

Enhancement components. Delivery performance SD. Range. Bensberg components. Application Supplier evaluation MM Internal delivery performance PP Delivery performance SD Requirements analysis MD04 Open quantities. EDI DELINS Deadline split EDI ESA ( External Service Agent)

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Enhancement components

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  1. Enhancement components Delivery performance SD

  2. Range Bensberg components • Application • Supplier evaluation MM • Internal delivery performance PP • Delivery performance SD • Requirements analysis MD04 • Open quantities • EDI • DELINS • Deadline split EDI • ESA (External Service Agent) • Orders / MAIS • Credit memo procedure • Payment advice

  3. Chain Logistic chain Supplier evaluation MM Internal delivery performance PP Delivery performance SD MM = Material Management PP = Production & Planning SD = Sales & Delivery

  4. Welcome Welcome! Welcome to the presentation of our enhancement component Delivery Performance SD

  5. Overview Evaluation Delivery items Backlog Manualevaluations Consignment*1(ESA) Defective parts PPM Servicecriteria Totalevaluations according to Time/Quantity and with *2VDA -key figuresDelivery performance + Service grade Data pool with basic data and evaluation results Analysis:- Menu-controlled- Hyperlinks- Filter, Download, Profile, etc. Alteration options:- Rescheduling- Revaluation- Evaluation of Legacy data Data export toexternal systemsas e.g. SAP-BW *1 ESA = External Service Agent*2 VDA = German Association of the Automotive Industry

  6. GI-items Evaluation of *GI-items according to Time /Quantity) • Starting point: Goods issue posting in SAP-R/3 • Saving of environment data upon the goods issue • Asynchronous evaluation • According to VDA 5001 and percent • Evaluation of Delivery performance and Service grade • flexible setting options of evaluation parameters • e.g. according to Customer, Ship-to party, Plant, MRP group... • Tolerances for Deadline and Quantity • Treatment of Under- and Overdeliveries • Special treatment of delivery schedules • Smoothing * GI = Goods Issue

  7. GI-items Evaluation according to VDA • The evaluation of delivery performance is based on (part of)the VDA-standard norm 5001 in consideration of the evaluation parameters • Mutual evaluation of time and quantity: Sales document Delivery Assignment of delivered quantity to open quantity 29.3. 100 10.4. 100 29.3. 100 in time 10.4. 20 7 days too early 29.3. 120 • Determination of the VDA-key figure for each supplied schedule line in consideration of the proportional quantity and the time difference

  8. GI-items Evaluation according to VDA / Percent • General rule : the higher the VDA-key figure of a delivery item, the worse is the delivery performance • Conversion of the VDA-key figure into percent according to the following formula: % = 100 - ( n * VDA-key figure ) n = Conversion factor, the higher the earlier 0% is achieved (Standard = 2) Example: VDA-key figure of 4 100 - ( 2 * 4 ) = 92% • Additional special procedure in case of % for separate evaluation of delivery performance and quantity reliability with limit values

  9. Order/ Scheduling agreement Assignment delivery quantity and time GI-items Evaluation of GI*-items according to time and quantity GI-posting in SAP-R/3 Delivery Goods issue (GI) *GI = Goods Issue

  10. Delivery Order / SA GI-items Evaluation of GI*-items according to Time and Quantity Data extraction and evaluation Analysisprograms Data export Repeat-Job Evaluation GI acc. to time/quantity GI-Posting Database tables Basis data Evaluation parameters real timeUpdate task extracts all relevant data Evaluation results Advantage: good performance, Repeatability of the evaluation *GI = Goods Issue

  11. GI-items Evaluation of GI-items according to time / quantity • Starting point: Goods issue posting in SAP-R/3 • Saving of environment data upon the goods issue • Asynchronous evaluation • according to VDA 5001 and percent • Evaluation of delivery performance and service grade • flexible setting options of evaluation parameters • e.g. according to customer, ship-to party, plant, MRP group... • Tolerances for deadline and quantity • Treatment of Under- and Overdeliveries • special treatment of delivery schedules • Smoothing

  12. Monday: Delivery schedule:Thursday 100 pieces. reliable GI-items Delivery schedule treatment (scheduled) Sold-to party Supplier Evaluation Ship-to party Delivery Warenausgang: Donnerstag 100 St. Goods issue: acc. to 1. DS: changed on Wednesday: Thursday 100 pieces Delivery schedule:Friday 80 pieces. due to change: reliable

  13. Time window VDA 0 used delivery schedule GI-items Delivery schedule treatment (scheduled) DS 1 DS 2 DS 3 DS 4 Monday DS 5 Wednesday DS =Deliver Schedule Goods issue Thursday Punishment avoided due to: VDA 0 VDA 2,00 • parallel evaluation of a delivery schedule at the moment of the creation of the delivery and of the delivery schedule at moment of the goods issue • consideration of the most favorable delivery schedule

  14. GI-items Evaluation of GI-items according to time / quantity • Starting point: Goods issue posting in SAP-R/3 • Saving of environment data upon the goods issue • Asynchronous evaluation • according to VDA 5001 and percent • Evaluation of delivery performance and service grade • flexible setting options of evaluation parameters • e.g. according to customer, ship-to party, plant, MRP group... • Tolerances for deadline and quantity • Treatment of Under- and Overdeliveries • special treatment of delivery schedules • Smoothing

  15. Time window Goods issue Monday 120 pieces Punishment due to overdelivery Schedule line Goods issue Tuesday 80 pieces Monday 100 pieces Tuesday 100 pieces Punishment due to underdelivery Smoothing Goods issue 200 pieces reliable in respect to time and quantity GI-items Smoothing Offsetting of quantity deviations in definable time windows (Number of days)

  16. Overview Evaluation Delivery items Backlog Manualevaluations Consignment*1(ESA) Defective parts PPM Servicecriteria Totalevaluations according to Time / Quantity and with *2VDA -key figuresDelivery performance + Service grade Data pool with basic data and evaluation results Analysis:- Menu-controlled- Hyperlinks- Filter, Download, Profile, etc. Alteration options:- Rescheduling- Revaluation- Evaluation of Legacy data Data export toexternal systemsas e.g. SAP-BW *1 ESA = External Service Agent*2 VDA = German Association of the Automotive Industry

  17. Backlog Evaluation of backlogs • Determination of backlogs at a defined point of time: • Schedule lines of orders and scheduling agreements with schedule line date < or >= current date • leads to complete backlog view • Evaluation as 'normal' GI • backlog evaluations at regular intervals (optimal: daily) show clearly a dynamic deterioration • Histories of complete backlog views (planned) • Consideration of backlog evaluations in the analyses is selectable

  18. Backlog Evaluation of backlogs Data extraction and evaluation Analysisprograms Data export Repeat-Job Backlogcollector Evaluation of backlog acc. to time/quantity Database tables Order / SA* Basis data Evaluationparameters Complete backlog view Evaluationresults *SA = Scheduling Agreement

  19. Overview Evaluation Delivery items Backlog Manualevaluations Consignment*1(ESA) Defective parts PPM Servicecriteria Totalevaluations according to Time / Quantity and with *2VDA -key figuresDelivery performance + Service grade Data pool with basic data and evaluation results Analysis:- Menu-controlled- Hyperlinks- Filter, Download, Profile, etc. Alteration options:- Rescheduling- Revaluation- Evaluation of Legacy data Data export toexternal systemsas e.g. SAP-BW *1 ESA = External Service Agent*2 VDA = German Association of the Automotive Industry

  20. Manual evaluations Manual Manual evaluations • free evaluation without goods issue e.g. external data • posting by means of function modules • customer-specific solutions for the transfer of evaluations • consideration of manual evaluations in the analyses is selectable

  21. Manual Manual entry of evaluations Data entry and evaluation 'Manual' evaluation Analysisprograms Data export Basis data Evaluationparameters Evaluation results

  22. Overview Evaluation Delivery items Backlog Manualevaluations Consignment*1(ESA) Defective parts PPM Servicecriteria Totalevaluations according to Time / Quantity and with *2VDA -key figuresDelivery performance + Service grade Data pool with basic data and evaluation results Analysis:- Menu-controlled- Hyperlinks- Filter, Download, Profile, etc. Alteration options:- Rescheduling- Revaluation- Evaluation of Legacy data Data export toexternal systemsas e.g. SAP-BW *1 ESA = External Service Agent*2 VDA = German Association of the Automotive Industry

  23. ESA Consignment stock (ESA)* • Evaluations of deliveries in the ESA-environment • ESA-shipments • ESA-consignment issues (with additional 100% - agreement) • can be activated according to sold-to party or ship-to party etc. • Indication of ESA-deliveries on the interface *ESA = External Service Agent

  24. Overview Evaluation Delivery items Backlog Manualevaluations Consignment*1(ESA) Defective parts PPM Servicecriteria Totalevaluations according to Time / Quantity and with *2VDA -key figuresDelivery performance + Service grade Data pool with basic data and evaluation results Analysis:- Menu-controlled- Hyperlinks- Filter, Download, Profile, etc. Alteration options:- Rescheduling- Revaluation- Evaluation of Legacy data Data export toexternal systemsas e.g. SAP-BW *1 ESA = External Service Agent*2 VDA = German Association of the Automotive Industry

  25. PPM Evaluation of defective parts in PPM (Parts per Million) • Defective parts * 1.000.000 / total quantity • Control is based on the quality notification for the delivery • Result as PPM-figure (also according to unit) and in % • PPM-analysis with monitoring of target agreements

  26. PPM Evaluation of defective parts in PPM (Parts per Million) • Calculation of the PPM-figure for each movement (delivery/return shipment) ( Defective parts * 1.000.000 / Total parts at a determined point of time ) Achieved % of target agreement Return shipment Delivery Quantity Date PPM-figure

  27. Overview Evaluation Delivery items Backlog Manualevaluations Consignment*1(ESA) Defective parts PPM Servicecriteria Totalevaluations according to Time / Quantity and with *2VDA -key figuresDelivery performance + Service grade Data pool with basic data and evaluation results Analysis:- Menu-controlled- Hyperlinks- Filter, Download, Profile, etc. Alteration options:- Rescheduling- Revaluation- Evaluation of Legacy data Data export toexternal systemsas e.g. SAP-BW *1 ESA = External Service Agent*2 VDA = German Association of the Automotive Industry

  28. Service Service criteria • Evaluation according to arbitrary criteria (also subjective aspects),as e.g. certification, friendliness, flexibility etc. • up to 20 arbitrary service criteria with weighting • for each delivery, each customer and each plant • Individual evaluations and permanent evaluations • Independent key figure in % • Posting by means of transaction or function module(open interface) with maintenance dialogue • Bensberg function module for VMI

  29. Overview Evaluation Delivery items Backlog Manualevaluations Consignment*1(ESA) Defective parts PPM Servicecriteria Totalevaluations according to Time / Quantity and with *2VDA -key figuresDelivery performance + Service grade Data pool with basic data and evaluation results Analysis:- Menu-controlled- Hyperlinks- Filter, Download, Profile, etc. Alteration options:- Rescheduling- Revaluation- Evaluation of Legacy data Data export toexternal systemsas e.g. SAP-BW *1 ESA = External Service Agent*2 VDA = German Association of the Automotive Industry

  30. Total Total evaluation A, B, C - Classification Total evaluation in % e.g. Weighting2 e.g. Weighting 5 e.g. Weighting 3 A, B, C A, B, C A, B, C Delivery performance in % PPM in % Service in % Standard classification: A-classification, if >= 90% B-classification, if >= 75% C-classification, if <= 75%

  31. Overview Evaluation Delivery items Backlog Manualevaluations Consignment*1(ESA) Defective parts PPM Servicecriteria Totalevaluations according to Time / Quantity and with *2VDA -key figuresDelivery performance + Service grade Data pool with basic data and evaluation results Analysis:- Menu-controlled- Hyperlinks- Filter, Download, Profile, etc. Alteration options:- Rescheduling- Revaluation- Evaluation of Legacy data Data export toexternal systemsas e.g. SAP-BW *1 ESA = External Service Agent*2 VDA = German Association of the Automotive Industry

  32. Analysis Analysis • Individual analysis of each goods issue item with complete basis of evaluation • Analysis according to sold-to party/ship-to party and month (cross table) • Analysis according to time and quantity • Ranking (Top 10)

  33. Individual analysis

  34. Individual analysis Setting of the selection and sort criterion

  35. items involved Sort key Individual analysis Total evaluation according to Sort key (in this case: customer) within the selected period next

  36. + Overdeliveries Evaluation basis - Underdeliveries Individual analysis Total evaluation (as before) with individual evaluation of the items involved Delivery items Involved backlog and manual items appear subsequent to the delivery items with colored indication Delivery + Material are interactive (Hyperlinks branch to SAP-Standard)

  37. Delivery Schedule line too early Evaluation Evaluation parameter Check of basis of evaluation Individual analysis Evaluation basis according to settings

  38. Individual analysis Schedule line at the moment of the GI-posting (basis deadlines)

  39. Individual analysis Evaluation parameters of a delivery item

  40. Lightning sign indicates a manual alteration of the evaluation figure Leaf sign indicates a stored comment for this item Individual analysis Comments and Alteration of the evaluation Fields displaying the evaluation figure are interactive

  41. Individual analysis Comments and Alteration of the evaluation Manually altered key figureand reason for Entered comment

  42. Individual analysis Total evaluation with individual evaluation of the items involved • Download / Excel • Filter • Graphics • Sort keys • Remarks • Alterations • Hyperlinks • User profile • Application help • ALV-analysis Delivery item and material are interactive(Hyperlinks)

  43. Individual analysis Individual analysis as ALV

  44. Individual analysis Smoothing Offsetting of quantity deviations in definable time windows (number/days) Smoothing

  45. Individual analysis Smoothing Offsetting of quantity deviations in definable time windows (number/days) Window Total quantity Deliveries

  46. Global analysis

  47. Global analysis 'Cross table': Analysis per calendar year und customer (Distribution on months) Setting of the selection and sort criterion planned: Distribution on weeks, on weeks; rolling months (12) and weeks (52) Start

  48. Global analysis 'Cross table': Analysis per calendar year and sold-to party (monthly distribution, percent) Target: provide information for the management in respect to development and ranking of the suppliers Sort according to Sold-to party or %-evaluation (Top 10) Goods issues Percent evaluation next context-dependent individual analysis blank = no GI

  49. Global analysis Individual analysis started from the cross table items involved

  50. Analysis according to quantity and time

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