November 22
ONE SIMPLE & AGILE CLOUD SOLUTION
S&OP | Planning | Digital Twin | Optimizer | Analytics
During our Journey over the years, we went from
implementing large & complex SAP BI solutions for
some of the largest SAP customers & developing
Simulation Models to drive one-time complex
decisions.
To providing pre-build simple and agile cloud
planning solutions integrated with Digital Twin
optimization models, enabling what-if scenarios &
risk analysis on the fly, with modern analytics,
predictive forecasting and flexible planning
functionality, all-in-one solution.
Our game changing planning solution-as–a-
service (SaaS), allows business users to discover,
predict, and collaborate all in one place.
2
About ITE Consult
Enterprise Planning & Digital Twin Solutions
Our Partners Our Customers
Our Focus
Build game changing cloud Planning & Digital Twin Optimization solutions, providing
the simplicity and agility, that are essential for growth and success, faster and with a
lower cost and lower risk, focusing on SME enterprises.
3
Our Mission
Our Flagship Product > S&OP Planning & Digital Twin Optimization Solution-as-a-Service
INTEGRATED:
• Security, Data Integration & User Experience embedded in the Technology Platform.
• All Forecasting, Demand Planning, Supply Planning Functionality Built-in one simple cloud solution!
• Providing a SPOT Data Foundation for Advanced Analytics & Master Data Governance!
BETEER:
• Built on world-class planning digital technology platform.
• Powered by SAP Analytics Cloud & AnyLogic.
FASTER:
• Cost-effective for the SME Enterprise > Pay-Per-User per month!
• Faster time-to-value > get started in just weeks!
S&OP Pillar Components
DEMAND PLANNING
✓ Predictive Forecast using Predictive
Analytics Scenarios
✓ Rolling Forecast Lifts Input
✓ Multi Annual Plan/Budget Input
✓ Bottom-Up Planning Input
✓ Top-Down Planning Input
✓ Demand KPI & Metrics Dashboarding
✓ Advanced Analytics
✓ Machine Learning Insights
SIMULATION & OPTIMIZATION
✓ Production Digital Twin
✓ Network Optimization
➢ Optimize Production Plan
➢ Optimize Labor Utilization
➢ Optimize Inventory Levels
✓ Calculate Raw Material Requirements
✓ Supply Planning KPIs
✓ Dashboarding
DATA GOVERNANCE
✓ Sync with ERP/MRP System
✓ Create/Maintain Local Hierarchies,
Grouping, UOM, Currencies, etc.
✓ Create new Members (Projected
Products, Customers, Etc.)
✓ Master Data Validation
S&OP Pillars combine Master Data Governance, Demand Planning Functions, Supply
Network Optimization and Supply Planning.
SUPPLY PLANNING
✓ Supply Planning Functions &
Analytic Reports
✓ RCCP Analysis
✓ Weekly Production Plan
✓ Raw Material Weekly Requirement
Projection
✓ Current & Projected Inventory
✓ Supply KPI’s & Metrics
✓ Machine Learning Insights
S&OP Process Flow
The Data Input can be loaded from multiple Data Sources, and the output can be sent
back to ERP/MRP Systems. During the initial phase Flat File loads are suggested.
Simulation
Scenario
Solver
Solver
Executive S&OP
Meeting
Demand
Forecasting
Demand Planning
Review
Supply Planning
Optimization
Supply Planning
Review
The S&OP Process & Technical Platform
“Building Blocks”
Unrestricted demand
Constrains
Alternative Plans
Agreed
Implementation
Plan
Sales Plan
Operational Plan
Financial Plan
One Simple Cloud Solution
Powered by
SAP Analytics Cloud
Simulation & Optimization
Powered by AnyLogic & Gurobi
Restricted demand
The system allows users to setup a personalized a home dashboard, with preferred
KPI’s & Charts, and configure the favorite access points to all the system functions
User Cloud Access
Master Data is mapped from the source systems, allowing users can maintain it
locally, adding new members and/or custom grouping & hierarchies.
Master Data User Governance
The S&OP Process Flow is embedded in the system, guiding the users through the
different steps, where to go, when to start, and when it’s due to submit & get approval
S&OP Process Flow
S&OP Monthly Activities:
➢ Generate the Forecast
➢ Demand Planning Discussion
➢ Run Multiple RCCP Scenarios
➢ Supply Planning Discussion
➢ S&OP Discussion
Predictive Forecast & Demand Planning
Use Predictive Analytics to generate the demand forecasting baseline, using historical
data and “outside-in” influencers. Then Planners can add business related lifts.
Input
Supply Network Optimization
Business
Rules
Demand
Forecast
BOMs
Inventory
Output
Production
Plan
Raw Material
Requirements
Inventory
Projected
Labor &
Asset Usage
Linear Optimization
Simulation Model
AnyLogic
Parameters
Input
Tables
Java Output
Tables
Process
Problem Definition Feasible Solution
Simulation
Scenarios
SAP Analytics Cloud
SAP Analytics Cloud
Supply Network Digital Twin Optimization
Running the Supply Network Optimization
Select the Forecast Version and Initial Inventory Date from SAP, set parameters for the
Scenario, run the Simulation & Optimization process, Preview and Export results to SAP
Select Demand
Import from SAP
Set Scenarios
Run Digital Twin
Preview By Plant
Export Scenarios to SAP
Low Initial Inventory Case
High Initial Inventory Case
Preview By Item
Supply Planning Scenarios
Analyze the RCCP scenarios generated by the Simulation & Optimization Tool, including
FG Production Plan, RM Requirements and Inventory Levels Projected
Raw Material Projected
Requirements and Inventory Level
FG Production Plan and Inventory level
withing Safety Stock, Min/Max WOS
Inventory Projections
Analyze Inventory scenarios generated by the Simulation & Optimization tool, including
FG, Raw & Packaging Material, comparing historical and projected IOH, DOH and Cost
Historical & Projected FG IOH, DOH and
Cost withing Safety Stock, Min/Max WOS
Historical & Projected Raw
Material IOH, DOH, and Cost levels
Labor & Machine Usage
Compare Multiple RCCP, projected Labor and Machine OEE scenarios, based on
different production, raw material and labor restrictions.
Projected Production Plan and
Inventory Level RCCP Labor vs
Inventory Scenarios
Plant Time, Labor & Shifts
Utilization for different
RCCP Scenarios
Business Case
Immediate Expected Results:
1. Data
➢ Integrated and Validated SPOT for Enterprise-Wide Analytics & KPI’s
➢ Master Data Management by Business Users
2. Demand Planning
➢ Monthly Statistical Baseline for the Year to Go or 18 Rolling Months
➢ Manage Sales & Marketing Lifts as Building Blocks
➢ MAPE & BIAS Improvement
3. Supply Planning
➢ Weekly Optimized Production Plan for 18 Rolling Months with no Stock-Outs
➢ Weekly Material Requirement projection, considering Lead Times & Min batch sizes
➢ Inventory Cost Reduction, aligned to safety stock Levels and WOS
➢ Optimized Labor restrictions projection
➢ Optimized Machine Usage Projection
S&OP Planning & Digital Twin Optimization Solution-as-a-Service
Technical Platform -Cloud solution built from the ground up on SAP Analytics Cloud
allowing business users to plan, discover, predict, and collaborate all in one place
17
Top 5 reasons for a Managed Cloud Solution
30% lower total cost
of Ownership (TCO)
over on-premise
Scalable and
Flexible Solution
Proven SAP
solutions at lower
cost
90% improvement
in implementation
time
One contract from
OpEx budget
Faster Time to Value –Weeks vs Months
Managed cloud environments are ready to use, avoiding cost and delays associated with buying and installing
hardware and networks. The repeatable platform and solution results in a streamlined implementation, rather than
the traditional extended project timeline to accommodate extensive customization.
The advantage of choosing a CloudSolution
SAC Connections Overview Diagram
For additional information please contact:
David Barbieri Kennedy
Partner | ITE Consult
Phone: +1 (646) 969-0846 (USA)
Phone: +54 (11) 4793 2080 (Argentina)
kennedydb@ite-consult.com
www.ite-consult.com
Thank You!

SOP Planning and Optimization Solution-as-a-Service.pdf

  • 1.
    November 22 ONE SIMPLE& AGILE CLOUD SOLUTION S&OP | Planning | Digital Twin | Optimizer | Analytics
  • 2.
    During our Journeyover the years, we went from implementing large & complex SAP BI solutions for some of the largest SAP customers & developing Simulation Models to drive one-time complex decisions. To providing pre-build simple and agile cloud planning solutions integrated with Digital Twin optimization models, enabling what-if scenarios & risk analysis on the fly, with modern analytics, predictive forecasting and flexible planning functionality, all-in-one solution. Our game changing planning solution-as–a- service (SaaS), allows business users to discover, predict, and collaborate all in one place. 2 About ITE Consult Enterprise Planning & Digital Twin Solutions Our Partners Our Customers Our Focus
  • 3.
    Build game changingcloud Planning & Digital Twin Optimization solutions, providing the simplicity and agility, that are essential for growth and success, faster and with a lower cost and lower risk, focusing on SME enterprises. 3 Our Mission Our Flagship Product > S&OP Planning & Digital Twin Optimization Solution-as-a-Service INTEGRATED: • Security, Data Integration & User Experience embedded in the Technology Platform. • All Forecasting, Demand Planning, Supply Planning Functionality Built-in one simple cloud solution! • Providing a SPOT Data Foundation for Advanced Analytics & Master Data Governance! BETEER: • Built on world-class planning digital technology platform. • Powered by SAP Analytics Cloud & AnyLogic. FASTER: • Cost-effective for the SME Enterprise > Pay-Per-User per month! • Faster time-to-value > get started in just weeks!
  • 4.
    S&OP Pillar Components DEMANDPLANNING ✓ Predictive Forecast using Predictive Analytics Scenarios ✓ Rolling Forecast Lifts Input ✓ Multi Annual Plan/Budget Input ✓ Bottom-Up Planning Input ✓ Top-Down Planning Input ✓ Demand KPI & Metrics Dashboarding ✓ Advanced Analytics ✓ Machine Learning Insights SIMULATION & OPTIMIZATION ✓ Production Digital Twin ✓ Network Optimization ➢ Optimize Production Plan ➢ Optimize Labor Utilization ➢ Optimize Inventory Levels ✓ Calculate Raw Material Requirements ✓ Supply Planning KPIs ✓ Dashboarding DATA GOVERNANCE ✓ Sync with ERP/MRP System ✓ Create/Maintain Local Hierarchies, Grouping, UOM, Currencies, etc. ✓ Create new Members (Projected Products, Customers, Etc.) ✓ Master Data Validation S&OP Pillars combine Master Data Governance, Demand Planning Functions, Supply Network Optimization and Supply Planning. SUPPLY PLANNING ✓ Supply Planning Functions & Analytic Reports ✓ RCCP Analysis ✓ Weekly Production Plan ✓ Raw Material Weekly Requirement Projection ✓ Current & Projected Inventory ✓ Supply KPI’s & Metrics ✓ Machine Learning Insights
  • 5.
    S&OP Process Flow TheData Input can be loaded from multiple Data Sources, and the output can be sent back to ERP/MRP Systems. During the initial phase Flat File loads are suggested.
  • 6.
    Simulation Scenario Solver Solver Executive S&OP Meeting Demand Forecasting Demand Planning Review SupplyPlanning Optimization Supply Planning Review The S&OP Process & Technical Platform “Building Blocks” Unrestricted demand Constrains Alternative Plans Agreed Implementation Plan Sales Plan Operational Plan Financial Plan One Simple Cloud Solution Powered by SAP Analytics Cloud Simulation & Optimization Powered by AnyLogic & Gurobi Restricted demand
  • 7.
    The system allowsusers to setup a personalized a home dashboard, with preferred KPI’s & Charts, and configure the favorite access points to all the system functions User Cloud Access
  • 8.
    Master Data ismapped from the source systems, allowing users can maintain it locally, adding new members and/or custom grouping & hierarchies. Master Data User Governance
  • 9.
    The S&OP ProcessFlow is embedded in the system, guiding the users through the different steps, where to go, when to start, and when it’s due to submit & get approval S&OP Process Flow S&OP Monthly Activities: ➢ Generate the Forecast ➢ Demand Planning Discussion ➢ Run Multiple RCCP Scenarios ➢ Supply Planning Discussion ➢ S&OP Discussion
  • 10.
    Predictive Forecast &Demand Planning Use Predictive Analytics to generate the demand forecasting baseline, using historical data and “outside-in” influencers. Then Planners can add business related lifts.
  • 11.
    Input Supply Network Optimization Business Rules Demand Forecast BOMs Inventory Output Production Plan RawMaterial Requirements Inventory Projected Labor & Asset Usage Linear Optimization Simulation Model AnyLogic Parameters Input Tables Java Output Tables Process Problem Definition Feasible Solution Simulation Scenarios SAP Analytics Cloud SAP Analytics Cloud Supply Network Digital Twin Optimization
  • 12.
    Running the SupplyNetwork Optimization Select the Forecast Version and Initial Inventory Date from SAP, set parameters for the Scenario, run the Simulation & Optimization process, Preview and Export results to SAP Select Demand Import from SAP Set Scenarios Run Digital Twin Preview By Plant Export Scenarios to SAP Low Initial Inventory Case High Initial Inventory Case Preview By Item
  • 13.
    Supply Planning Scenarios Analyzethe RCCP scenarios generated by the Simulation & Optimization Tool, including FG Production Plan, RM Requirements and Inventory Levels Projected Raw Material Projected Requirements and Inventory Level FG Production Plan and Inventory level withing Safety Stock, Min/Max WOS
  • 14.
    Inventory Projections Analyze Inventoryscenarios generated by the Simulation & Optimization tool, including FG, Raw & Packaging Material, comparing historical and projected IOH, DOH and Cost Historical & Projected FG IOH, DOH and Cost withing Safety Stock, Min/Max WOS Historical & Projected Raw Material IOH, DOH, and Cost levels
  • 15.
    Labor & MachineUsage Compare Multiple RCCP, projected Labor and Machine OEE scenarios, based on different production, raw material and labor restrictions. Projected Production Plan and Inventory Level RCCP Labor vs Inventory Scenarios Plant Time, Labor & Shifts Utilization for different RCCP Scenarios
  • 16.
    Business Case Immediate ExpectedResults: 1. Data ➢ Integrated and Validated SPOT for Enterprise-Wide Analytics & KPI’s ➢ Master Data Management by Business Users 2. Demand Planning ➢ Monthly Statistical Baseline for the Year to Go or 18 Rolling Months ➢ Manage Sales & Marketing Lifts as Building Blocks ➢ MAPE & BIAS Improvement 3. Supply Planning ➢ Weekly Optimized Production Plan for 18 Rolling Months with no Stock-Outs ➢ Weekly Material Requirement projection, considering Lead Times & Min batch sizes ➢ Inventory Cost Reduction, aligned to safety stock Levels and WOS ➢ Optimized Labor restrictions projection ➢ Optimized Machine Usage Projection S&OP Planning & Digital Twin Optimization Solution-as-a-Service
  • 17.
    Technical Platform -Cloudsolution built from the ground up on SAP Analytics Cloud allowing business users to plan, discover, predict, and collaborate all in one place 17 Top 5 reasons for a Managed Cloud Solution 30% lower total cost of Ownership (TCO) over on-premise Scalable and Flexible Solution Proven SAP solutions at lower cost 90% improvement in implementation time One contract from OpEx budget Faster Time to Value –Weeks vs Months Managed cloud environments are ready to use, avoiding cost and delays associated with buying and installing hardware and networks. The repeatable platform and solution results in a streamlined implementation, rather than the traditional extended project timeline to accommodate extensive customization. The advantage of choosing a CloudSolution
  • 18.
  • 19.
    For additional informationplease contact: David Barbieri Kennedy Partner | ITE Consult Phone: +1 (646) 969-0846 (USA) Phone: +54 (11) 4793 2080 (Argentina) kennedydb@ite-consult.com www.ite-consult.com Thank You!