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Purpose

The Sales and Operational Planning (S&OP) processes and activities are an essential and strategic element of the ERP Rebuild project scope and design therefore, playing a pivotal role in the overall success of the project.

In parallel to the ERP Rebuild program, the Advanced Planning and Scheduling (APS) project is currently in progress and being executed concurrently, utilizing the Kinaxis Maestro tool (a leading S&OP software solution), to implement a product planning process and solution including the Demand Planning and Sales and Operational Planning functionalities within the Syensqo business.

This document serves as a guide, designed to offer an understanding of the current "As-Is" planning processes, the "As-Is" integration mechanisms, and the "As-Is" overall system landscape associated with the Maestro system, all within the scope of the APS project.

Additionally, this document aims to identify and highlight the changes required to ensure that the APS solution aligns seamlessly with the ERP Rebuild project’s goals, objectives and timelines. It outlines the potential adjustments and modifications needed to adjust the existing APS system design to accommodate the ERP Rebuild related processes and solution changes. Furthermore, this document provides a detailed vision for the future state of the integration and system landscapes, showcasing how the APS and ERP systems will function cohesively after the rebuild program is complete. A proposed approach for data cleansing and cutover, aligned with the ERP rebuild design, is also included.

As-Is

Scope

APS project includes the following functionalities:

  • Demand Planning
  • Supply and Inventory Planning
  • Production Planning and Scheduling
  • S&OP / IBP

APS project is planned to be deployed in Drops with each drop delivering enhanced functionality of the categories listed above. A high level view of the scope of the APS project can be found below:

Category

Key Elements

Details

Demand Planning

Demand Planner Process, Ownership, Cadence, Calendar

Standard procedures, defined responsibilities, and schedules for demand planning activities.


Demand Plan Targets

Establish targets based on historical data, market trends, and business goals.


Statistical Forecasts

Use statistical models to generate baseline forecasts from historical data.


Consensus Forecasts

Incorporate input from sales, marketing, and operations to refine forecasts.


Reporting and Visualization

Use dashboards and reports to track forecast accuracy, trends, and overall performance.

Supply & Inventory Planning

Planner Process, Parameters, and Ownership

Establish roles, responsibilities, and parameters for supply and inventory planning.


Cadence and Calendar

Define schedules for inventory reviews, planning updates, and collaboration.


Ability to Define Key Constraints

Identify production, supply chain, or resource limitations.


Constraining the Plan

Adjust plans to align with identified constraints.


Pegging and Firming the Supply Plan

Match supply to specific demand and finalize orders for stability.


View and Act on Supply Exceptions

Identify and address supply-related issues, such as shortages or surpluses.


Ending Inventories

Optimize closing inventory levels to minimize costs and risks.


Inventory Exceptions

Identify anomalies in inventory data and take corrective action.


Periods of Coverage

Ensure adequate inventory levels to cover demand for a specific period.


Publishing the Supply Data to ERP

Share finalized supply plans with ERP systems for seamless execution.


Reporting and Visualization

Track and analyze inventory and supply performance using dashboards and reports.

Production Planning & Scheduling

BOM Substitutions and Alternatives

Manage flexibility in the bill of materials (BOM) to accommodate material shortages or alternatives.


Master Production Plan

Create a high-level production plan based on demand forecasts and constraints.


Enterprise Scheduling

Detailed planning and scheduling of production activities across facilities.

S&OP/IBP

Demand and Supply Balancing

Align demand forecasts with supply capabilities while addressing constraints and trade-offs.


S&OP Dashboard

Centralized platform for tracking KPIs, aligning stakeholders, and facilitating decision-making.


Below is the split of the functionalities across multiple drops.




Interfaces

Multiple interfaces are required to connect the Maestro system with existing SAP ECC (ERP Central Component).

These interfaces will facilitate data exchange and integration between ECC and Maestro, supporting critical business processes such as planning, inventory management, order fulfillment, and reporting. They can be categorized into the following:

CategoryDescription
Enterprise Structure DataThis includes organizational data such as company codes, plants, storage locations, sales organizations, and distribution channels. Ensuring alignment between SAP ECC and Maestro allows for accurate representation of the organizational hierarchy and dependencies.
Config DataConfiguration data includes system settings, rule definitions, and organizational configurations like MRP settings, delivery priorities, and planning parameters. This ensures that ECC and Maestro operate with aligned business rules and logic.
Master DataMaster data encompasses key foundational data such as material master, customer master, BOM's, Routings etc... It ensures consistent and accurate information flows between SAP ECC and the Maestro system for efficient operations.
Transactional Data (Demand / Supply)This category includes real-time transaction data such as sales orders, purchase orders, demand signals, supply plans, and stock movements. It supports demand & Supply planning, inventory management processes.
Planning ResultsThese are outputs from planning activities, including demand forecasts, production schedules, procurement plans, and ATP (Available-to-Promise) data. Planning results support Maestro's decision-making and strategic planning functions while aligning with ECC data.


Below is an overview of the interfaces.

Note: ECC is represented as one line and it is comprised of both the ECC's systems

Below is the detailed list of the interfaces

Kinaxsis Interface

SAP Object Reference

Classification

Group

Description/Reason

Sites

Plants

Enterprise Structure

Core

List of Site/Plant Codes and descriptions (Manual Load Only)

Material Types

Material Types

Config

Core

List of Material Types and descriptions

MRPType

MRPType

Config

Core

List of MRP Types and descriptions

MRPGroup

MRPGroup

Config

Core

List of MRP Groups and descriptions

ProcessOrderTypes

ProcessOrderTypes

Config

Core

List of Process/Work Order Types and descriptions

StorageLocations

StorageLocations

Enterprise Structure

Core

List of Storage Locations and descriptions

MRPAreas

MRPAreas

Config

Core

List of MRP Areas and descriptions

LotSize

LotSize

Config

Core

List of LotSizes and descriptions

SpecialProcKey

SpecialProcKey

Config

Core

List of SpecialProcurementKeys and descriptions

Calendars

Calendars

Config

Core

List of Calendars and dates

SalesOrdertypes

SalesOrdertypes

Config

Core

List of Sales Order Types and descriptions

Purchaseordertype

Purchaseordertype

Config

Core

List of Purchase Order Types and descriptions

UnitOfMeasure

UnitOfMeasure

Config

Core

All the Units of Measure are used in the data

Calendars

Calendars

Config

Core

Includes all Plant, Shipping and Receiving Calender Dates

Parts

Material Plant

Master Data

Master Data

All parts/materials that represent that master index of planning materials

PartConversion

Material Plant / Material / Plant

N/A

Master Data

All parts and any associated part number differences.

PartUOMconversion

Material Plant Alternative UOM

Master Data

Master Data

All Alternate Units of Measure used for the parts/materials for reporting or functionality.

BOM

BOM

Master Data

Master Data

A list of all components, alternatives and substitutions used in the production of an assembly

Forecast



Demand

The current Sales Forecast from published Forecast (Gross Only) 

Consensus



Demand

The current Sales Forecast currently active from ERP (Gross and Net)

SalesOrders

SalesOrders

Transactional Data

Demand

All Internal or External Sales Orders that have a remaining open quantity

Delivery

Delivery

Transactional Data

Demand

All Internal or External Sales Orders that on delivery and do not have a post goods issue transaction

Batch

Batch

Transactional Data

Supply

All Batch records with a remaining inventory balance

Onhand

Onhand

Transactional Data

Supply

All Onhand records; blocked, restricted, unrestricted, quality, consigned or material provided to vendor

WorkOrder

WorkOrder

Transactional Data

Supply

All work orders; production or process with a remaining quantity

PurchaseOrder

PurchaseOrder

Transactional Data

Supply

All purchases orders; stock transport, external, consignment or subcontract with a remaining quantity

PurchaseRequitions

PurchaseRequitions

Transactional Data

Supply

All purchases requisitions that have a remaining quantity

FirmPlannedOrders

FirmPlannedOrders

Transactional Data

Supply

All FIRM Planned orders that must respected by Maestro (inside PTF or FIRM Planned)

Tollingallocation


Transactional Data

Supply

All work order; production or process order allocations that have a remaining requirement qty.

WorkOrderAllocation


Transactional Data

Supply

All tolling/subcontract allocations that need to be provided vendor

HistoricalSupplyPurchase

Purchase Order

Transactional Data

Supply

All historical purchase orders receipts. Used for leadtime variability.

CurrencyConversionActual

CurrencyConversionActual.tab

Transactional Data

Core

All currencies used in the data and their respective exchange rates to the USD currency

Customer

Customer

Master Data

Demand

A list of all External and Internal Customers that have open have open Sales Demand or Sales History

DependentAllocation

STO

Transactional Data

Demand

All Internal demand (stock transport) requirements that have a remaining quantity, and originate from a site not in Maestro.

CustomerPrice

Price

Transactional Data

Demand

A list or Sales price for a part/material and Customer specific price.

ConstriantAvailable



Supply

All Constraints used by partsourcing to generate load and their respective available load.

ConstriantPart



Supply

All constraints applied to partsourcing which their constraint, fixed and variable load rates

CurrencyConversionForecast

CurrencyConversion(Forward looking rate)

Transactional Data

Core

All Future currencies used in the data and their respective exchange rates to the system BASE currency

HistoricalCurrencyConversion

CurrencyConversion

Transactional Data

Core

All Historical currencies used in the data and their respective exchange rates to the system BASE currency

SalesOrganization

SalesOrganization

Enterprise Structure

Demand

A list of the Sales Organisations used (if applicable)

HistotricalDemandActuals

Sales Orders

Transactional Data

Demand

A minimum of 2 years of External Sales shipments 

HistoricalForecast

Sales Orders

Transactional Data

Demand

A period [typically 12 months] of forecast history, forecast accuracy measurements

HistoricalSupplyMfg

production orders

Transactional Data

Supply

All historical work orders. Used for lead time variability.

MD04


Transactional Data

Validation

This information is intended to be used for validating input data from SAP, and is not intended to be used for planning or decision making in Maestro


Oppurtunities

Transactional Data

Demand



End Use (Market)

Transactional Data

Demand



Routings

Master Data

Supply



WorkCenters

Master Data

Supply



Production versions

Master Data

Supply



PIR (Purchase info record)

Transactional Data

Supply



Product hierarchy

Master Data

Demand



Customer Hierarchy

Master Data

Demand



Planned orders to S/4

Transactional Data

Supply


  

System Architecture

High-Level Architecture: Integration of Kinaxis with Existing SAP ECC Systems

The proposed architecture for the Kinaxis Maestro system uses two productive instances, one for the composite business (Maestro US) and another for the rest of the business (Maestro ROW).

The integration of the Kinaxis system with the existing SAP ECC systems need to take into account the two distinct Kinaxis instances to support different business needs and geographical requirements:

  1. Kinaxis US:

    • This instance will primarily serve the composites GBU (Global Business Unit).
    • It will facilitate compliance with export control regulations, specifically ITAR (International Traffic in Arms Regulations), ensuring all ITAR-related processes are managed effectively.
    • Hosting Location: This instance will be hosted in the United States to meet ITAR compliance requirements and regional data governance standards.
  2. Kinaxis ROW (Rest of the World):

    • This instance will support the other GBUs, including Aroma, Novecare, TS, O&G (Oil & Gas), and Specialty Polymers.
    • The ROW instance will manage planning, supply chain, and operational data for these GBUs while aligning with the broader strategic goals.
    • Hosting Location: This instance will be hosted in Europe, ensuring efficient regional operations and compliance with European data protection standards.

Both instances will integrate with the existing ECC systems to enable real-time planning, supply chain visibility, and data sharing across multiple GBUs while adhering to regional compliance and operational requirements.

To-Be

Changes in Scope

A detailed analysis/comparison has been conducted on the functionalities and data structures to be deployed as part of the scope of the APS project and the conceptual design from the ERP Rebuild initiative. The analysis has identified a range of changes that will be required to the current APS solution and scope in order to align with the ERP rebuild Functional, Data and Interfaces requirements. 

Functionality

The following topics are identified as potentially requiring changes in APS solution during the ERP Rebuild project. Note that the below table represents only the functionalities that require a change. The total list of functionality that is in scope can be found in the attachments.

Area

Key Topics

Current Design

Change Description

Change complexity

Demand Planning

Demand forecast unit definition

Packed Material + Ship-to / Sales area
Lowest level where we collect the data (Sales order) and where we can enter forecast.

Packed Material(SKU) + Sold to + Ship To + Sales Area

High

Demand Planning

Hierarchy definition

Several hierarchies required to facilitate the data entry (forecast entry at aggregated level with automatic disaggregation at lowest level) and analysis.

Changes are in the data section. Depending on the hierarchy the corresponding functionality also has to change (Aggregation and disaggregation logic definitions might change)

High

Demand Planning

Estimated Time of Arrival (ETA) vs Departure (ETD)

Forecast are entered at ETA level and needs to be converted to ETD for the supply part but also for the revenue projection. AI team support requested to get the most accurate supply offset and financial offset

The logic to calculation ETD from ETA or vice versa will change and the data will be have to be consumed from S/4 instead

Medium

Demand Planning

Disaggregation


Based on the changes in the data modes / hierarchies

High

Demand Planning

Achievable demand

Once the demand consensus published, we can then get back from the SP part, the achievable demand. (= when Consensus demand can not be reached)
This information is shown in the DP, the demand team needs to review with the sales team and make adjustments if possible

Extra constrains from S/4 will have to be taken into account ex: Maintenance plans

Medium

Demand Planning

Allocation

In progress: When there is no option to meet the demand, the allocation process is triggered = Volume allocated to customer - Control of the allocated volume at sales order entry in SAP for SPP.

PAL Integration

High

Supply Planning

Netting / Forecast consumption

Reconciliation between order book and forecasts. Including Demand time fence (when do we consider that a non ordered forecast should be ignored ?) and spreading (from a monthly forecast to weekly/daily net demand).

Order types / Item categories / other critieria to exclude Sales Orders

Medium

Supply Planning

Distribution network

Escalation of the demand to the distribution sites and upstream to the production plants
Including cross-systems transfers (WP1 <-> PF1) flows.

Intercompany / China flow will have to be adopted

High

Supply Planning

Buffer sizing and positioning

Proactive dimensioning of inventories. Setting up differentiated targets. Simulation of Safety stock adjustments (impact on inventory projection and service level).
Inventory projection. (in qty and in value)
Inventory analysis (IQR)

Demand driven buffer sizing will be required

Medium

Supply Planning

Firming the plan

Monitoring the execution of / derives from the plan : Live view on gap between Operational plan and S&OP.
Operational planning decisions (what sourcing decision to launch ?).

Purchase requisitions instead of planned orders

High

Inventory Planning

Including Tolling & Consignment


Vendor consignment planning to be included

Medium

 Data

The following topics are identified as potentially requiring changes in the APS data structures/data sources during the ERP Rebuild project. Note that the below table represents only the functionalities that require a change. The total list of all the data elements can be found in the attachments.

Data Object TypeData ObjectCurrent DesignSourceDirectionChanges Required (ERP Rebuild)ImpactChange DescriptionChange complexity
Master dataCustomersSold to , Ship ToSAPTo MaestroYesAdditional CombinationsAll Business PartnersMedium
Transactional DataSales Orders
SAPTo MaestroYesAdditional attributesExtra attributes ( Incoterm / Transportation mode etc..)Medium
Transactional DataPricing Conditions
SAPTo MaestroYesAdditional CombinationsAccess sequences might change  / Future prices source might changeMedium
Master dataEnd Use (Market)
SAPTo MaestroYesDifferent source / definitionTo be consolidated with the customer / CMIRMedium

GBU
SAPTo MaestroTBD


Master dataParts <> Material x plantUnits,  Calendars,  Leadtimes (MRP views),  Archetype (SHS),  Purch group / MRP controllers (resp.)SAPTo MaestroYesDifferent source / definitionMaterial fields are going to change - MDS will determine the impactHigh
Master dataWorkcentersselected by type for time being focussing on Machines/process linesSAPTo MaestroYesAdditional attributesShifts / Times / usage % will have to consumed from work centersHigh
Master dataRoutings
SAPTo MaestroNew

High
Master dataPIR (Purchase info record)
SAPTo MaestroYesAdditional CombinationsVendor consignment PIR to be includedLow
Master dataSpecial procurement Key
DerivedTo MaestroYesDifferent source / definitionShould come from S/4Medium
Transactional DataPR
SAPTo MaestroYesAdditional CombinationsDocument types / additional fields / StatusLow
Transactional DataPO
SAPTo MaestroYesAdditional CombinationsDocument types / additional fields / StatusLow
Transactional DataDeliveries (Sales Order)
SAPTo MaestroYesAdditional CombinationsDocument types / additional fields / StatusLow
Transactional DataPlanned / process / production orders
SAPTo MaestroYesAdditional CombinationsDocument types / additional fields / StatusLow
N/ASource lists
MaestroTo MaestroTo be deleted
To be replaced with the functionality from Quota
Master dataQuotas
MaestroTo MaestroYesAdditional CombinationsShould come from S/4Medium
N/ATransfers between SAP systems 
MaestroTo MaestroYesDifferent source / definitionInformation will come from S/4 - To use combination of SPK and QuotaMedium
Transactional DataCosting (excluding internal margins) 
External FileTo MaestroYesDifferent source / definitionShould come from S/4High
Master dataResource hierarchies 
External data / derivation based on rulesTo MaestroTBD


Transactional DataPurchasing lead time
External data / derivation based on rulesTo MaestroYesDifferent source / definitionShould come from S/4Low
Master dataCalendars (Factory)
External data / derivation based on rulesTo MaestroYesAdditional CombinationsShould come from S/4Low
Master dataGeographic regions
External data / derivation based on rulesTo MaestroYesDifferent source / definitionShould come from S/4Low
Transactional DataInspection Lot

To MaestroNew

Medium
Master dataProduct hierarchy

To MaestroNew
Should come from S/4Medium
Master dataCustomer Hierarchy

To MaestroYesDifferent source / definitionShould come from S/4Medium
Master dataProfit Center hierarchy

To MaestroNew
Should come from S/4Medium
Transactional DataCustomer material info record

To MaestroNew
Should come from S/4Medium
Master dataCustomer lead time fence

To MaestroNew
Lead time can be managed in Maestro and sent nack to SAP or vice versa.Master slave relationship TBD based on the designMedium
Master dataSafety Stock 

To SAPNew

Low
Master dataSafety period

To SAPNew

Low
Master dataLead Times

To SAPNew

Low
Transactional DataPlanned orders
KinaxisTo SAPYesAdditional CombinationsDocument types / additional fields / StatusLow
Transactional DataPurchase Requisitions
KinaxisTo SAPNew

High
Transactional DataPlanned Independent Requirements

To SAPNew

High

Interfaces

Based on the current APS design and the ERP Rebuild conceptual design, the following interfaces are identified as requiring changes. These changes are necessary to ensure alignment in process, data and integration across the new design.

A detailed list of all the interfaces along with their specific changes is available in the attachments for review.

Kinaxsis InterfaceSAP Object ReferenceClassificationGroupDescription/ReasonChanges Required (ERP Rebuild)Change DescriptionChange complexity
PartsMaterial PlantMaster DataMaster DataAll parts/materials that represent that master index of planning materialsYesMapping / Additional fieldsMedium
PartSourceMaterial Plant SourcingMaster DataMaster DataAll sourcing records associated with supplying materials that have BOM'sNewTo include SPK and Quota
SalesOrdersSalesOrdersTransactional DataDemandAll Internal or External Sales Orders that have a remaining open quantityYesMapping / Additional fieldsMedium
DeliveryDeliveryTransactional DataDemandAll Internal or External Sales Orders that on delivery and do not have a post goods issue transactionYesMapping / Additional fieldsMedium
QMlotQMlotTransactional DataSupplyReceipts that are in quality that have a future release date.New
Medium
WorkOrderWorkOrderTransactional DataSupplyAll work orders; production or process with a remaining quantityYesMapping / Additional fieldsLow
PurchaseOrderPurchaseOrderTransactional DataSupplyAll purchases orders; stock transport, external, consignment or subcontract with a remaining quantityYesMapping / Additional fieldsLow
PurchaseRequitionsPurchaseRequitionsTransactional DataSupplyAll purchases requisitions that have a remaining quantityYesMapping / Additional fieldsLow
FirmPlannedOrdersFirmPlannedOrdersTransactional DataSupplyAll FIRM Planned orders that must respected by Maestro (inside PTF or FIRM Planned)YesMapping / Additional fieldsLow
Tollingallocation
Transactional DataSupplyAll work order; production or process order allocations that have a remaining requirement qty.YesMapping / Additional fieldsLow
WorkOrderAllocation
Transactional DataSupplyAll tolling/subcontract allocations that need to be provided vendorYesMapping / Additional fieldsLow
HistoricalSupplyPurchasePurchase OrderTransactional DataSupplyAll historical purchase orders receipts. Used for leadtime variability.YesWe will not have purchase order history when we go-live. Extra design required to aggregate and store the required data in data lake for this functionalityHigh
DependentAllocationSTOTransactional DataDemandAll Internal demand (stock transport) requirements that have a remaining quantity, and originate from a site not in Maestro.YesImpact due to different landscapesMedium
CustomerPricePriceTransactional DataDemandA list or Sales price for a part/material and Customer specific price.YesMapping / Additional fieldsLow
HistotricalDemandActualsSales OrdersTransactional DataDemandA minimum of 2 years of External Sales shipments YesWe will not have Sales order history when we go-live. Extra design required to aggregate and store the required data in data lake for this functionalityHigh
HistoricalForecastSales OrdersTransactional DataDemandA period [typically 12 months] of forecast history, forecast accuracy measurementsYesWe will not have sales order history when we go-live. Extra design required to aggregate and store the required data in data lake for this functionalityHigh
HistoricalSupplyMfgproduction ordersTransactional DataSupplyAll historical work orders. Used for lead time variability.YesWe will not have production order history when we go-live. Extra design required to aggregate and store the required data in data lake for this functionalityHigh
CompanyCodesCompany CodesEnterprise Structure

New
Medium

OppurtunitiesTransactional DataDemand
YesChanges in the document types / additional fields / status etc..Medium

End Use (Market)Transactional DataDemand
YesChanges in the document types / additional fields / status etc..Medium

GBUEnterprise Structure

NewChanges in the definition of GBU.. Profit center based derivation will not workMedium

RoutingsMaster DataSupply
YesChanges in the activity types etc..High

WorkCentersMaster DataSupply
Yes
Medium

PIR (Purchase info record)Transactional DataSupply
YesInclude vendor consignmentMedium

Costing (excluding internal margins) Transactional DataSupply
New
High

Resource hierarchies Master DataSupply
New
Medium

Purchasing lead timeTransactional DataSupply
New
Medium

Product hierarchyMaster DataDemand
YesChanges in the definition and source fields for determining the product hierarchyMedium

Customer HierarchyMaster DataDemand
YesChanges in the definition and source fields for determining the customer hierarchyMedium

Profit Center hierarchyMaster DataSupply
New
Medium

Customer material info recordTransactional DataDemand
New
Medium

Customer lead time fenceTransactional DataDemand
New
Medium

Safety Stock to S/4Transactional DataSupply
New
Medium

Safety period to S/4Transactional DataSupply
New
Medium

Lead Times to S/4Transactional DataSupply
New
Medium

Planned orders to S/4Transactional DataSupply
YesChanges in the document types / additional fields / status / horizons etc..High

Purchase Requisitions to S/4Transactional DataSupply
New
High

Planned Independent Requirements to S/4Transactional DataDemand
New
High

PALTransactional DataDemand
New
High

System Architecture

Below is the proposed To-Be system architecture including some of the key elements to note when compared with the existing As-Is architecture

  • Two S/4HANA instances will be implemented: one dedicated to China and another for the rest of the world. The composites business will be divided across these systems.
  • Data required for composites planning from both S/4HANA systems will be integrated into the Maestro (US) instance, while data for the rest of the world will be routed to the Maestro (Global) instance.
  • Two dedicated Cloud Platform Integration (CPI) systems will be established to support this configuration.
  • SAP Data Sphere will be used to consolidate and transfer data to the respective systems, limited to non-ITAR data only.
  • ITAR-sensitive data will bypass Data Sphere and be directly exchanged between S/4HANA and Maestro.


Time Phased System Diagram

There are two views to represent the need for different systems at different phases of the program. Both these views are outlined below.

The fist view represents the timeline view. This diagram below illustrates the time-phased instance strategy for the APS Project and ERP Rebuild Project. The diagram is divided into two sections: APS (at the top) and ERP Rebuild (on the bottom), reflecting their respective project timelines.

Instances are represented within the diagram to show how they are aligned with each phase of the APS and ERP Rebuild projects. These instances are mapped to the respective project timelines to reflect key milestones, implementation phases, and decision points. The staggered deployment of these instances represent the different system needs of each phase and outlined the need for parallel instances to be available for each overlapping phase.


The second view is the system landscape view. These are also split by project phase represented by the green bar.

Below is the detailed representation of the instances along with the transportation path. The left side of the pictures represent the APS project landscape requirements while the right side of the pictures represent the ERP rebuild landscape requirements.



Integration with key functionalities

Planning Data in S/4

Planning data from Maestro is required in S/4 at each day level during the short-term horizon, i.e., before the planning time fence.

  • During the short-term horizon, precise planning data at a daily granularity will be integrated from Maestro into SAP S/4HANA. This enables accurate and effective planning, ensuring that the system operates efficiently within the constraints of the planning time fence.

Aggregation of data at weekly or monthly buckets is planned beyond the short-term horizon. However, this approach needs to be confirmed during the detailed design phase, based on various other factors such as ATP (Available to Promise) requirements.

  • For planning beyond the short-term horizon, data will likely be aggregated into larger intervals, such as weekly or monthly buckets. This simplifies data management and focuses on long-term trends. However, the final aggregation strategy will be determined during the detailed design phase, considering factors such as ATP requirements and other operational dependencies.

PAL

Integration is required between the allocation in Maestro to the PAL tables in SAP. There is already a new interface included to cater to this requirement, however more details of how PAL table is structured will be determined during the detailed design

ATP

ATP functionality in SAP requires up-to-date inventory information, production/procurement plans, and delivery priorities to determine accurate delivery dates.

This information will be readily available and detailed during the short-term horizon, ensuring precise commitments. However, for long-term horizons, the data will be aggregated to simplify planning processes and manage larger time frames efficiently.

During the detailed design phase, the following topics should be considered:

  • Using Replenishment Lead Time (RLT) instead of ATP for long-term horizon orders:
    For orders falling within the long-term planning horizon, RLT could be utilized to approximate availability dates. This approach reduces the complexity of ATP checks while providing reasonable delivery estimates based on predefined lead times for procurement or production.
  • Using ATP for long-term horizon orders with aggregated data:
    An alternative approach involves continuing to use ATP functionality for long-term orders but leveraging aggregated data. This may require specific configurations or assumptions about inventory levels, production schedules, and other factors to enable effective ATP calculations despite the lower data granularity.

Enterprise Scheduling

  • PPDS
  • Factory Scheduling


Cutover Approach

Following are some of the important considerations for cutover

  • The Existing APS Production System Will Not Be Used for Go-Live During the ERP Rebuild Project:
    As part of the ERP Rebuild project's go-live strategy, the current APS production system will not be utilized. Instead, a new instance will be implemented to support the transition and operational readiness.

  • Migration of Planning History to the New Instance:
    To ensure continuity and historical reference during the cutover to the new instance, planning history will be migrated as part of the cutover strategy. Two migration options have been identified, and the final choice will be determined during the detailed design phase:

    • Option 1: Extract only the historical key figures (e.g., demand trends, supply chain planning insights) and store them in Datasphere. This approach focuses on essential planning insights while minimizing data volume.
    • Option 2: Extract all source data, including Planned Orders, Purchase Orders, and other relevant transactional data, and store them in Datasphere. This option provides a more comprehensive historical data migration for extended historical analysis and operational continuity.

Interim Process between 1st and 2nd Deployment

  1. Specialty Polymers (SpP) and Global Supply Chain:
    The supply chain transaction overlap between the Specialty Polymers legal entities in scope for Group 1 and the Rest of Syensqo is minimal, based on the analysis conducted by the ERP Rebuild team. As a result:

    • The new ERP Rebuild Maestro Non Composites system can operate primarily with the Specialty Polymers (SpP) entities with only minimal manual adjustments required.
    • These adjustments will primarily involve Buy-Sell transactions with the global supply chain to ensure alignment and continuity.
  2. Composites and Rest of Syensqo:
    The supply chain transaction overlap between Composites and the Rest of Syensqo is also minimal, as confirmed by the analysis conducted by the APS team. Therefore:

    • The Business As Usual (BAU) APS Composites Production system can continue to operate as-is without the need for interim processes or significant changes.
  3. Other Company Codes in the BAU Non-Composites Environment:
    For the remaining company codes within the BAU Non-Composites environment, the transaction overlap with the global supply chain is minimal. As a result:

    • These entities can continue operations with only minimal manual adjustments, specifically related to Buy-Sell transactions, to maintain alignment with the global supply chain network.

Below is an high level diagram to illustrate the same.

Governance / Resources 

Following are some of the Governance Principles proposed for the project

  • Dedicated design and development Maestro / Business teams to be embedded in the ERP Rebuild project team
  • Change freeze of APS post drop 3  


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