QAD Demand Management Patrick Grace, QAD Solutions Consultant September 27th, Fall MWUG Session.

Slides:



Advertisements
Similar presentations
Fully integrated AX module Demand forecasts Sales orders Transfer orders Purchase orders Production orders Master Planning Demand Forecasting.
Advertisements

© 2010 Orchid Technical Consultancy (P) Ltd. Problems facing businesses today Non-availability of information on time –Delayed or improper decision making.
Infor Integrated Business Planning
Master Data for SCM (1) Master Data for Demand Planning & Fulfillment Processes EGN 5623 Enterprise Systems Optimization (Professional MSEM) Fall, 2012.
Advanced Forecasting & Procurement for Microsoft Dynamics NAV Presented to ABC Annual Conference 2011 May 12, 2011.
Software Applications in Supply Chain Management Project Management and Implementation Implications Guest Lecture - February 26, 2002 Dominic Noce
Optimiza Virtual Demonstration
QAD Demand Management 2011 Fall CAUG Session Lance LaCross, CPA, CPIM
1 Chapter 12: Decision-Support Systems for Supply Chain Management CASE: Supply Chain Management Smooths Production Flow Prepared by Hoon Lee Date on 14.
The Fundamentals of Enterprise Resource Planning Olayele Adelakun (Ph.D) Assistant Professor CTI Office: Room 735 CTI 7th Floor Phone: Fax:
Supply Chain Logistics Management
Supply Chain Management
Essentials of Management Information Systems, 6e Chapter 2 Information Systems in the Enterprise 2.1 © 2005 by Prentice Hall Information Systems in the.
Increase Your Manufacturing Efficiency with QAD’s Planning and Scheduling Workbenches Gary Wasserman – Applications Specialist.
Production Scheduling: What Tool is Right for You?
Oracle Demantra Overview & Utilization in a Demand Driven Supply Network Curtis Ardle February 22, 2008.
© Barloworld Supply Chain Software 2014 INVENTORY METHODOLOGY.
QAD Master Scheduling Workbench (QAD MSW) Carianne Nieuwstraten – Sr. Product Manager – MFG/SC Brent Shooltz – Sr. Business Systems Analyst – MFG/SC MMUG.
Sales and Operations Planning Process Overview. S&OP Process Build an integrated, collaborative decision process that guides the execution of the Supply/Demand.
“This presentation is for informational purposes only and may not be incorporated into a contract or agreement.” Oracle Demantra’s Solution Solution Components.
1 Copyright © 2004, Manugistics, Inc. All rights reserved. Objectives At the end of this section you will be able to:  Understand the key pains and challenges.
Replenishment. Pull It Scan It Capture It Send It Customer’s System Analyze Customer’s Needs Trigger Reorder Point Pull It Scan It Capture It Send It.
8 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. Enterprise Business Systems Chapter 8.
8 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.
Web Timesheet Application
Concepts in Enterprise Resource Planning 4th Edition Chapter three Production and Supply Chain Management Information Systems 1Concepts in Enterprise Resource.
Master Data for SCM (1) Master Data in Demand Planning & Fulfillment Processes EGN 5623 Enterprise Systems Optimization (Professional MSEM) Fall, 2011.
Extended Sales and Operation Planning (ES&OP) - customer and supplier
Combining Supply Chain Integration with Sales & Operations Planning Mark Williams – Professional Services Consultant, Supply Chain Solutions Center – Demand.
Advanced Manufacturing Laboratory Department of Industrial Engineering Sharif University of Technology Session #9.
SUPPLY CHAIN MANAGEMENT SYSTEMS Part I. 7-2 LEARNING OUTCOMES 1.List and describe the components of a typical supply chain 2.Define the relationship between.
Fully integrated AX module
I2 U Intelligent Supply Chain Management Course Module Seven: Inventory Planning.
1 © The Delos Partnership 2003 Key Enterprise Planning Processes Customer Relationship Management Supply Management Innovation Management.
PROPRIETARY  2003 Data Research Analysis & Consultancy Solutions All Rights Reserved. This is achieved by: Improving availability / reducing stock outs.
1 © The Delos Partnership 2003 Integrated Enterprise Planning Joining up all the pieces.
The Reality of Warranty and After-Sales Services Revenue Loss Under-coverage of products Products sold in the gray market Rising Costs Providing.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Manufacturing Planning and Control MPC 6 th Edition Chapter.
Accounting Guru Cloud ERP (Enterprise Resource Planning) ERP Software https:
Oracle Enterprise Planning and Budgeting May 21, 2004 Mike Hipps Principal Sales Consultant North American Sales © 2003, 2004 Oracle Corporation. All.
Forecast error and planning horizons
LESSON 2 Sales and Operations Planning (S&OP) and Aggregate Planning
AXUG Partner Showcase – Introducing Preactor
ABCs of Inventory Planning
Using ERP to Streamline and Enhance Your Organization
Forecasting Workflows
Network Optimization Executive Seminar Track 1, Session A
Discovering Computers 2010: Living in a Digital World Chapter 14
Schlenker, H. , R. Kluge, and J. Koehl
Global E-Business: How Businesses Use Information Systems
Master Production Schedule
UNIT –V SUPPLY CHAIN MANAGEMENT
Carl Holmes Christy Lee
Rough-Cut Capacity Planning in SCM EGN 5623 Enterprise Systems Optimization (Professional MSEM) Fall, 2011.
LOGISTICS NETWORK.
Information Systems Supports Business processes
Achieving Operational Excellence and Customer Intimacy:Enterprise Applications Chapter 9 (10E)
Supply Chain Planning Demand Planning Excellence – Automotive Industry
CHAPTER 14 MRP and ERP.
Welcome to 2018 Oracle OpenWorld
Perfecting Visibility
Indus Momentus Business Solutions
Chapter 8 Aggregate Planning in the Supply Chain
Quantifying the Impact of Deployment Practices on Interplant Freight Volatility Kurn Ma Manish Kumar.
A Process View of the Supply Chain
Operations Management
King Saud University College of Engineering IE – 462: “Industrial Information Systems” Fall – 2018 (1st Sem H) Introduction (Chapter 1) part.
3PL Logistic Software. What is a 3PL? You take the orders. Your third-party logistics provider (3PL) fulfils them. It’s that simple and if it’s seamless,
Real Time Engineering Slab & Coil Yard Management and Plate Stock Report , Planning, Production, Reporting & Data Base Management Solution for Metal Industry.
Presentation transcript:

QAD Demand Management Patrick Grace, QAD Solutions Consultant September 27th, Fall MWUG Session

2 Forecasting Goals Solution Overview -Basic Forecasting -Demand Management Demonstration Summary Agenda 2011 Fall MWUG Session

3 Comprised of Two Words -Fore -Casting Look Out Throw Out Forecasting Definition Demand Management

4 Value Chain 2011 Fall MWUG Session

5 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 Typical Demand Forecasting Goals 2011 Fall MWUG Session

6 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. Sample Requirements 2011 Fall MWUG Session

7 QAD Basic Forecasting 2011 Fall MWUG Session

8 QAD Basic Forecasting 2011 Fall MWUG Session

9 QAD Basic Forecasting 2011 Fall MWUG Session

10 QAD Basic Forecasting 2011 Fall MWUG Session

11 QAD Demand Management The Solution 2011 Fall MWUG Session

Demand Management: -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 Demand Management Defined 2011 Fall MWUG Session 12

Demand Management Engine Collaborative Portal Inventory Optimization Rough-cut Planning Sales & Operations Planning QAD’s Demand-Driven Suite 2011 Fall MWUG Session 13

14 Demand Management 2011 Fall MWUG Session

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

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

Forecasting Communicating Life Cycle Management Optimizing Balancing Planning Measuring Assisting the Supply Chain Fall MWUG Session

Forecasting  Robust statistical engine  Error tracking  Allocation  EDI, POS, and on-line data  Planning bills Fall MWUG Session

Statistics, Methods & Techniques Fall MWUG Session

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 Forecast Maintenance - Demand Management Fall MWUG Session

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 Forecast Maintenance - Demand Management Fall MWUG Session

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

Integration QAD Demand Management 23

ERP DM Integration QAD Apps QAD DM Forecast ImportSales Extract Forecast ExportSales Import 24

Share information Exceptions Promotions or events Reporting Security Communicating Fall MWUG Session

Specific calculations Profiles Cloning/same as Collaborate Life Cycle Management Fall MWUG Session

Optimize: Safety Stocks Service Levels Order Points Periods of Coverage Lead Times Optimizing Fall MWUG Session

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

Link medium to long term operations -Business goals -Operational planning -Financial planning Model effect on supply capabilities and financials Planning Fall MWUG Session

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

31 Standard Reports 2011 Fall MWUG Session

32 Comparison Excel Output 2011 Fall MWUG Session

33 Demonstration QAD Demand Management 2011 Fall MWUG Session

34 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 Summary 2011 Fall MWUG Session

35 QAD Demand Management Thank you For Attending!! 2011 Fall MWUG Session