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QAD Demand Management 2011 Fall CAUG Session Lance LaCross, CPA, CPIM

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Presentation on theme: "QAD Demand Management 2011 Fall CAUG Session Lance LaCross, CPA, CPIM"— Presentation transcript:

1 QAD Demand Management 2011 Fall CAUG Session Lance LaCross, CPA, CPIM
QAD Solutions Consultant October 9, 2011

2 Agenda Forecasting Goals Solution Overview Demand Management V6.1
2011 Fall CAUG Session Agenda Forecasting Goals What & When Do we Need It? Solution Overview Basic Forecasting Demand Management Demand Management V6.1 Components & New Features Summary

3 Forecasting Definition
Fall 2011 CAUG Session Forecasting Definition Comprised of Two Words Fore Casting Look Out Throw Out

4 Value Chain Demand Chain Supply Chain Value Chain Purchasing
Manufacturing Distribution Demand Chain Marketing Sales Services

5 Balance – Supply vs. Demand
Demand Options: Supply Options: Manufacture Order Purchase Order DRP Order Customer Orders Forecast

6 Statistical Probability
Example - Dice In A Craps Game

7 Audience Questions How are you forecasting today? How many SKUs?
Excel? 3rd Party Package? Crystal Ball? How many SKUs? What does your product hierarchy look like? What is your input to the forecast? Do you conduct a formal Sales & Operations Planning Meeting? What type of adjustments are made?

8 Demand Forecasting Goals
Understanding and predicting customer demand is vital to manufacturers and distributors to avoid stock-outs and maintain adequate inventory levels. While forecasts are never perfect, they are necessary to prepare for actual demand. In order to maintain an optimized inventory and effective supply chain, accurate demand forecasts are imperative. Similar to a dice game - to win you want to minimize the probability of inaccurate data used to drive your organization

9 Typical Demand Forecasting Goals
Reduce forecast error At SKU Level More time spent in analysis versus hunting for issues Exception based Provide an easy, consistent method for capturing inputs to the forecast Know accuracy by sources of input Capture thoughts on adjustments Use the forecast and customer orders to drive planning

10 Sample Requirements Twelve to Eighteen Month Visibility
More Process Automation Takes 10 hours to compile data to get to the sales staff and Export to Excel. Ability to Handle Growth What happens if we double our business? Getting forecasts from new acquisitions? What if we decide to drive MRP with forecast? It has to be easy enough for the sales force to use and provide input.

11 QAD Basic Forecasting

12 QAD Basic Forecasting

13 QAD Basic Forecasting

14 QAD Basic Forecasting

15 QAD Demand Management – Tool To Help With Your Navigation

16 Demand Management Defined
Extensive statistical forecasting based on history, forecast, or other data series Alerts to notify of exceptional circumstances Inventory policies based on forecast variability and service level Collaborative forecasting between suppliers and customers Sales and Operations Planning “…actively managing demand signals to better sense demand (think of monitoring consumption instead of orders), [and] incorporating downstream data with a higher frequency of modeling (weekly or daily)” -- Source: AMR

17 QAD’s Demand-Driven Suite
Demand Management Engine Collaborative Portal Inventory Optimization Rough-cut Planning Sales & Operations Planning

18 Demand Management

19 QAD’s Demand Driven Suite
Informal ERP Excel SQL Access Collaborative Portal QAD Other ERP SCM BI S&OP Inventory Optimization Demand Management Engine Rough Cut

20 Sales & Operations Planning
Demand Planners Sales & Marketing Category Management Product Management Demand Forecast Demand Executive Review Resolve Issues Set Direction Determine Strategic Impact Consensus Supply Chain Operations Engineering Logistics Supply Forecast Supply Actual Results Reviewed & Analyzed Re-Forecast & Consensus Meeting Executive Review Meeting

21 Assisting the Supply Chain
Forecasting Communicating Life Cycle Management Optimizing Balancing Planning Measuring

22 Forecasting Robust statistical engine Error tracking Allocation
EDI, POS, and on-line data Planning bills

23 Forecast Maintenance Daily, Weekly, Quarterly, Monthly Buckets
Forecasting horizon is user defined Forecast can be shipment, order history, etc. Unlimited years of history 32 forecasting algorithms with best fit, and on screen alerts, and 26 accuracy measurements

24 Statistics, Methods & Techniques

25 Forecast Maintenance - Demand Management
Graphical & tabular display When insufficient history, uses variety of modeling approaches Forecast is user defined with hierarchy created. Change forecast through drag & drop, mass changes, tabular change Notes with capability

26 Hierarchies Hierarchies are used to:
View data at aggregate levels such as Product Class, Sales Region, or Customer Reconcile changes made at various levels Provide history to create statistical forecasts at aggregate level FORECAST Product Type Product Group Division Tools Hand Tools Wrenches Hammers Power Tools Table Saws

27 SUPPLY-SIDE HIERARCHY DEMAND-SIDE HIERARCHY
Hierarchies Top Down Bottom Up Middle Out PRODUCT CUST DIST CENTER FAMILY SBU SUPPLY-SIDE HIERARCHY PRODUCT CUST DIST CENTER FAMILY MARKET DEMAND-SIDE HIERARCHY

28 QAD Demand Management

29 ERP DM Integration Demand Management QAD

30 Communicating Share information Exceptions Promotions or events
Reporting Security

31 Life Cycle Management Specific calculations Profiles Cloning/same as
Like New Items Cloning/same as Collaborate

32 Optimizing Optimize: Safety Stocks Service Levels Order Points
Periods of Coverage Lead Times

33 Balancing Balance Supply & Demand through key resources
Equipment Raw Materials Labor Subcontracting What-if Analysis

34 Planning Link medium to long term operations
Business goals Operational planning Financial planning Model effect on supply capabilities and financials

35 Measuring Improved visibility Enhanced decision making
Reporting and analysis capabilities for all levels of the enterprise.

36 DME 6.1 Overview Demand Management Engine DME Admin Tool
New user interface Filters and Exceptions Hierarchy Manager Profile/Lifecycle Forecasting Event Manager DME Admin Tool New features, better control, greater flexibility relative to Base Unit Improved Planning Portal for collaboration

37 DME Viewer – New User Interface

38 DME Viewer

39 Hierarchy

40 Profiles

41 Custom Task Manager

42 Conversions

43 Conversion Groups

44 Notes

45 DM Engine, Admin Tool & Batch Scheduler
DME Admin Batch Scheduler

46 Views Available Multi Series View Series Information Graph View
Data View

47 Graph Filters

48 Filter Management

49 Exceptions Used in the DM Viewer to limit series displayed
Selects series with observation data that meets a defined criteria Example: Find SKU’s with unusual growth identify SKU’s with no sales for 6 months identify large user adjustments

50 Exceptions

51 Data Permission & Domains
Permits system administrator to restrict access to information by job function or individual Sales reps for Customer X could be limited to only view the historical sales and forecasts for their customer Regional Marketing Managers could be limited to view and adjust promotional information in their regions only 51

52 Events Events are special situations or actions that can change forecasting behavior Examples of Events: Sales promotion expected to drive volume up 20% for a month Store closing for remodeling will result in selling 20,000 less units over a two month range New contract ensures the sale of 10,000 units over the next four months

53 Event Manager

54 Procast = “Best Fit” Method used to select the “best fit” time series forecasting techniques Judged to be one of the most accurate in the world There are over 30 other forecasting methods available including: Slow Moving Item Exponential Smoothing Regression New Product Lifecycle

55 Lifecycle Forecasting
Create forecasts without demand history based on where a product is in its lifecycle Introduction Growth Maturity Decline Product Life Cycle Stages Volume Time

56 New Report Viewer New Report Viewer for DM 6.1
Template reports can be modified or new ones can be created: Budget Variance, Lag Analysis, Margin Summary, Workflow Status, Notes/Adjustments and more Easy integration with Excel

57 Standard Forecast Reports

58 User Defined Reports

59 Comparison Excel Output

60 Planning Portal Provides the foundation for collaboration with key supply chain stakeholders Sales Marketing Customers Data Intranet/ internet Database Server Windows 2000/2003 Server SQL 2005/2008/2010 Web Server Windows 2000/2003 Server IIS 5.1/6.0 Client (Windows 2000/XP/7 IE 6/7/8/9)

61 DME Overview – Planning Portal
PP Admin Tool

62 Demonstration

63 Summary More sophisticated forecasting techniques
Forecast collaboration tool Changes to forecast easily uploaded Measure Actual to Forecast accuracy Exceptions and Filters Document reasons for forecast adjustments At series level or individual observations Aggregate Forecasts different views Hierarchy Manager Help with setting safety stock levels Rough Cut Capacity Planning Planning for projected warehouse requirements

64 QAD Demand Management Thank You For Attending
QAD Demand Management Thank You For Attending! “Please Fill Out Your Survey”


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