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 the existing APS system design and build 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.
Table of Contents
Assumptions
The information in the document is based on the APS design known at the time of writing the document. This document will be reviewed and updated during the ERP Rebuild detailed design (After APS design is completed and in case of significant changes).
As-Is
ERP Rebuild Scope
The ERP Rebuild Project encompasses a total of nine processes within its end-to-end scope. Below is a brief summary of each process to provide an overview of the project’s comprehensive scope and objectives.
| End to Process | Description |
|---|---|
| Idea to Market (I2M) | Manages the entire lifecycle of products and services from concept to end-of-life. It includes portfolio management, design, prototyping, testing, market introduction, change management, and collaboration throughout development. |
| Source to Pay (S2P) | Manages all activities related to sourcing and procuring goods and services. It includes procurement planning, supplier selection, contract negotiation, operational procurement, goods receipt, returns and claims, invoice processing, payments, and supplier data management. |
| Plan to Fulfil (P2F) | Manages all activities related to the planning in conjunction with Maestro, inspection, production, delivery, and fulfillment of products or services as well as aspects such as tracking and tracing, data management, and sustainable manufacturing operations |
| Lead to Cash (L2C) | Manages all activities related to marketing and selling products and services, managing and fulfilling sales orders, providing after-sales services, and, finally, invoicing customers, managing accounts receivable, and collecting payment. It also covers the management of customers and channels as foundational elements of the process |
| Acquire to Decommission (A2D) | Manages all activities associated with the lifecycle management of assets from inception to disposal. |
| Record to Report (R2R) | Manages all activities associated with managing the capital structure of a company, from managing accounts payable and receivable to recording and reporting financial data. |
| Budget to Forecast (B2F) | Manages financials by providing functionality to plan and optimize financial operations. It includes key activities that support an organization's financial health: planning and budgeting, integrated financial planning, management and performance reporting, and forecasting and modeling. |
| Safety to Sustainability (S2S) | Manages all activities associated with Environmental Safety, Product Compliance and Sustainability including reporting. It integrates with various end to end processes for a number of purposes across the different components. |
| Hire to Retire (H2R) | Manages all activities associated with hiring the internal and external workforce and managing their lifecycle in the organization. |
The following end to end processes will integrate with planning process in scope for the APS project:
- Plan to Fulfil
- Lead to Cash
- Budget to Forecast
- Source to Pay
Maestro Scope
APS project includes the following processes:
- 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 processes listed above. A high level view of the scope of the APS project is described below:
Category | Key Elements | Details |
Demand Planning | Demand Planner Process, Ownership, Cadence, Calendar | Define standard procedures, responsibilities, and schedules for demand planning activities. |
Statistical Forecasts | Use statistical models to generate baseline forecasts from historical data. | |
Consensus Forecasts | Incorporate input from statistical forecast and demand planners. | |
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:
| Category | Description |
|---|---|
| Enterprise Structure Data | This 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 Data | This 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 Data | This 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 Results | These 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 bar and it is comprised of both the ECC's systems
Below is the detailed list of the interfaces
System Architecture
High-Level Architecture: Kinaxis integration with Existing SAP ECC Systems
The 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:
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.
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
Impacts
A detailed analysis/comparison has been conducted on the functionalities and data structures to be deployed as part of the scope of the APS and the conceptual design from the ERP Rebuild Projects. The analysis has identified a range of changes that will be required to the current APS design and build in order to align with the ERP rebuild Functional, Data and Interfaces requirements.
Process
The business processes defined as part of APS project will be adopted for ERP Rebuild. However a detailed assessment will be done during the detailed design phase to identify any gaps and address them accordingly.
Design
The following topics have been identified as potentially requiring changes in APS solution to seamlessly integrate with ERP Rebuild project. The below table represents only the functionalities that require a change. The complete list of functionality that is in scope can be found in the attachments.
Area | Key Topics | Current Design | Change Required | Change complexity |
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 described in the data section below. Depending on the hierarchy the corresponding functionality also has to change (Aggregation and disaggregation logic definitions might also 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 calculate 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 is published, achievable demand can be determined. (= when Consensus demand can not be reached) | 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. | (Product Allocation) PAL Integration | High |
Supply Planning | Netting / Forecast consumption | Reconciliation between order book and forecasts. Including Demand time fence (when to 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 | 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). | 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. | Purchase requisitions instead of planned orders | High |
Inventory Planning | Consignment | Vendor consignment planning to be included | Medium |
Data
The following topics have been identified as requiring changes in the APS data structures/data sources to enable seamless integration with ERP Rebuild project. The below table represents only the functionalities that require a change. The complete list of all the data elements can be found in the attachments.
| Data Object Type | Data Object | Current Design | Source | Direction | Changes Required (ERP Rebuild) | Impact | Change Description | Change complexity |
| Master data | Customers | Sold to , Ship To | SAP | To Maestro | Yes | Additional Combinations | All Business Partners | Medium |
| Transactional Data | Sales Orders | SAP | To Maestro | Yes | Additional attributes | Extra attributes ( Incoterm / Transportation mode etc..) | Medium | |
| Transactional Data | Pricing Conditions | SAP | To Maestro | Yes | Additional Combinations | Access sequences might change / Future prices source might change | Medium | |
| Master data | End Use (Market) | SAP | To Maestro | Yes | Different source / definition | To be consolidated with the customer / CMIR | Medium | |
| GBU | SAP | To Maestro | TBD | |||||
| Master data | Parts <> Material x plant | Units, Calendars, Leadtimes (MRP views), Archetype (SHS), Purch group / MRP controllers (resp.) | SAP | To Maestro | Yes | Different source / definition | Material fields are going to change - MDS will determine the impact | High |
| Master data | Workcenters | selected by type for time being focussing on Machines/process lines | SAP | To Maestro | Yes | Additional attributes | Shifts / Times / usage % will have to consumed from work centers | High |
| Master data | Routings | SAP | To Maestro | New | High | |||
| Master data | PIR (Purchase info record) | SAP | To Maestro | Yes | Additional Combinations | Vendor consignment PIR to be included | Low | |
| Master data | Special procurement Key | Derived | To Maestro | Yes | Different source / definition | Should come from S/4 | Medium | |
| Transactional Data | PR | SAP | To Maestro | Yes | Additional Combinations | Document types / additional fields / Status | Low | |
| Transactional Data | PO | SAP | To Maestro | Yes | Additional Combinations | Document types / additional fields / Status | Low | |
| Transactional Data | Deliveries (Sales Order) | SAP | To Maestro | Yes | Additional Combinations | Document types / additional fields / Status | Low | |
| Transactional Data | Planned / process / production orders | SAP | To Maestro | Yes | Additional Combinations | Document types / additional fields / Status | Low | |
| N/A | Source lists | Maestro | To Maestro | To be deleted | To be replaced with the functionality from Quota | |||
| Master data | Quotas | Maestro | To Maestro | Yes | Additional Combinations | Should come from S/4 | Medium | |
| N/A | Transfers between SAP systems | Maestro | To Maestro | Yes | Different source / definition | Information will come from S/4 - To use combination of SPK and Quota | Medium | |
| Transactional Data | Costing (excluding internal margins) | External File | To Maestro | Yes | Different source / definition | Should come from S/4 | High | |
| Master data | Resource hierarchies | External data / derivation based on rules | To Maestro | TBD | ||||
| Transactional Data | Purchasing lead time | External data / derivation based on rules | To Maestro | Yes | Different source / definition | Should come from S/4 | Low | |
| Master data | Calendars (Factory) | External data / derivation based on rules | To Maestro | Yes | Additional Combinations | Should come from S/4 | Low | |
| Master data | Geographic regions | External data / derivation based on rules | To Maestro | Yes | Different source / definition | Should come from S/4 | Low | |
| Transactional Data | Inspection Lot | To Maestro | New | Medium | ||||
| Master data | Product hierarchies | To Maestro | New | Should come from S/4 | Medium | |||
| Master data | Customer hierarchies | To Maestro | Yes | Different source / definition | Should come from S/4 | Medium | ||
| Master data | Profit Center hierarchies | To Maestro | New | Should come from S/4 | Medium | |||
| Transactional Data | Customer material info record | To Maestro | New | Should come from S/4 | Medium | |||
| Master data | Customer lead time fence | To Maestro | Yes | Lead time can be managed in Maestro and sent nack to SAP or vice versa.Master slave relationship TBD based on the design | Medium | |||
| Master data | Safety Stock | To SAP | New | Low | ||||
| Master data | Safety period | To SAP | New | Low | ||||
| Master data | Lead Times | To SAP | New | Low | ||||
| Transactional Data | Planned orders | Kinaxis | To SAP | Yes | Additional Combinations | Document types / additional fields / Status | Low | |
| Transactional Data | Purchase Requisitions | Kinaxis | To SAP | New | High | |||
| Transactional Data | Planned Independent Requirements | To SAP | New | 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 process and data alignment.
A detailed list of all the interfaces along with their specific changes is available in the attachments.
| Kinaxsis Interface | SAP Object Reference | Classification | Group | Changes Required (ERP Rebuild) | Change Description | Change complexity | |
| Parts | Material Plant | Master Data | Master Data | All parts/materials that represent the master index of planning materials | Yes | Mapping / Additional fields | Medium |
| PartSource | Material Plant Sourcing | Master Data | Master Data | All sourcing records associated with supplying materials that have BOM's | New | To include SPK and Quota | |
| SalesOrders | SalesOrders | Transactional Data | Demand | All Internal or External Sales Orders that have a remaining open quantity | Yes | Mapping / Additional fields | Medium |
| Delivery | Delivery | Transactional Data | Demand | All Internal or External Sales Orders that on delivery and do not have a post goods issue transaction | Yes | Mapping / Additional fields | Medium |
| QMlot | QMlot | Transactional Data | Supply | Receipts that are in quality that have a future release date. | New | Medium | |
| WorkOrder | WorkOrder | Transactional Data | Supply | All work orders; production or process with a remaining quantity | Yes | Mapping / Additional fields | Low |
| PurchaseOrder | PurchaseOrder | Transactional Data | Supply | All purchases orders; stock transport, external, consignment or subcontract with a remaining quantity | Yes | Mapping / Additional fields | Low |
| PurchaseRequitions | PurchaseRequitions | Transactional Data | Supply | All purchases requisitions that have a remaining quantity | Yes | Mapping / Additional fields | Low |
| FirmPlannedOrders | FirmPlannedOrders | Transactional Data | Supply | All FIRM Planned orders that must respected by Maestro (inside PTF or FIRM Planned) | Yes | Mapping / Additional fields | Low |
| Tollingallocation | Transactional Data | Supply | All work order; production or process order allocations that have a remaining requirement qty. | Yes | Mapping / Additional fields | Low | |
| WorkOrderAllocation | Transactional Data | Supply | All tolling/subcontract allocations that need to be provided vendor | Yes | Mapping / Additional fields | Low | |
| HistoricalSupplyPurchase | Purchase Order | Transactional Data | Supply | All historical purchase orders receipts. Used for leadtime variability. | Yes | Purchase order history will not be available at go-live. Extra design required to aggregate and store the required data in data sphere for this functionality | High |
| DependentAllocation | STO | Transactional Data | Demand | All Internal demand (stock transport) requirements that have a remaining quantity, and originate from a site not in Maestro. | Yes | Impact due to different landscapes | Medium |
| CustomerPrice | Price | Transactional Data | Demand | A list or Sales price for a part/material and Customer specific price. | Yes | Mapping / Additional fields | Low |
| HistotricalDemandActuals | Sales Orders | Transactional Data | Demand | A minimum of 2 years of External Sales shipments | Yes | Sales order history will not be available at go-live. Extra design required to aggregate and store the required data in data sphere for this functionality | High |
| HistoricalForecast | Sales Orders | Transactional Data | Demand | A period [typically 12 months] of forecast history, forecast accuracy measurements | Yes | Sales order history will not be available at go-live. Extra design required to aggregate and store the required data in data sphere for this functionality | High |
| HistoricalSupplyMfg | production orders | Transactional Data | Supply | All historical work orders. Used for lead time variability. | Yes | Production order history will not be available at go-live. Extra design required to aggregate and store the required data in data sphere for this functionality | High |
| CompanyCodes | Company Codes | Enterprise Structure | New | Medium | |||
| Oppurtunities | Transactional Data | Demand | Yes | Changes in the document types / additional fields / status etc.. | Medium | ||
| End Use (Market) | Transactional Data | Demand | Yes | Changes in the document types / additional fields / status etc.. | Medium | ||
| GBU | Enterprise Structure | New | Changes in the definition of GBU.. Profit center based derivation will not work | Medium | |||
| Routings | Master Data | Supply | Yes | Changes in the activity types etc.. | High | ||
| WorkCenters | Master Data | Supply | Yes | Medium | |||
| PIR (Purchase info record) | Transactional Data | Supply | Yes | Include vendor consignment | Medium | ||
| Costing (excluding internal margins) | Transactional Data | Supply | New | High | |||
| Resource hierarchies | Master Data | Supply | New | Medium | |||
| Purchasing lead time | Transactional Data | Supply | Yes | Medium | |||
| Product hierarchy | Master Data | Demand | Yes | Changes in the definition and source fields for determining the product hierarchy | Medium | ||
| Customer Hierarchy | Master Data | Demand | Yes | Changes in the definition and source fields for determining the customer hierarchy | Medium | ||
| Profit Center hierarchy | Master Data | Supply | Yes | Medium | |||
| Customer material info record | Transactional Data | Demand | New | Medium | |||
| Customer lead time fence | Transactional Data | Demand | Yes | Medium | |||
| Safety Stock to S/4 | Transactional Data | Supply | New | Medium | |||
| Safety period to S/4 | Transactional Data | Supply | New | Medium | |||
| Lead Times to S/4 | Transactional Data | Supply | New | Medium | |||
| Planned orders to S/4 | Transactional Data | Supply | Yes | Changes in the document types / additional fields / status / horizons etc.. | High | ||
| Purchase Requisitions to S/4 | Transactional Data | Supply | New | High | |||
| Planned Independent Requirements to S/4 | Transactional Data | Demand | New | High | |||
| PAL to S/4 | Transactional Data | Demand | New | High | |||
| Demand Key Figures to S/4 | Transactional Data | Demand | Required for Budget | New | High | ||
| Supply Key Figures to S/4 | Transactional Data | Supply | Required for Budget | New | High | ||
| Inventory Key Figures to S/4 | Transactional Data | Supply | Required for Budget | New | High | ||
| Demand Key Figures | Transactional Data | Demand | For Forecast Accuracy Reporting | New | High | ||
| Supply Key Figures | Transactional Data | Demand | For Forecast Accuracy Reporting | New | High | ||
| Inventory Key Figures | Transactional Data | Demand | For Forecast Accuracy Reporting | New | High | ||
| Sites | Enterprise Structure Data | Common | Yes | Medium | |||
| Currency Exchange Rates | Transactional Data | Common | Yes | Medium |
System Architecture
Below is the proposed To-Be system architecture including some key elements 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 deployed and configured to support this architecture.
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.
Implementation Roadmap
The diagram below depicts the implementation roadmap for the APS Project and ERP Rebuild Project, including their respective system instances. The diagram is split into two sections: APS (at the top) and ERP Rebuild (at the bottom), representing their respective project timelines.
Currently, there is ideal alignment between the end of the APS project and the start of the ERP Rebuild Integration test. Any delays in the APS project or in ERP project timelines will be discussed in the planned Portfolio management meetings and/or other agreed governance forums to ensure continuous alignment. Once APS project is completed, ideally any further solution enhancements should cease in order to focus entirely on the ERP Rebuild project delivery. The freeze will maintain a clear and controlled environment during ERP Rebuild project deployments.
Time Phased Landscape Diagram
The following series of diagrams illustrate the time-phased system landscape view, segmented by project phases, as indicated by the green bars.
These diagrams provide a detailed representation of the system instances and their corresponding transport paths. The left side of each diagram represents the APS project landscape requirements, while the right side represents the ERP Rebuild landscape requirements.
(note: the coloured squares represent the Maestro instances while the white ovals represent the ERP instances - a legend of the ERP instance names can be found on the right hand side)
Key Open Design Topics
There are a number of key functional design topics that need to be discussed and agreed in detail design as they are foundational part of S/4 HANA.
Granularity of Planning Data in S/4 Hana
The Planning data from Maestro is required in S/4 Hana using the day as the smallest time bucket 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 for production, purchasing and sales (ATP), ensuring that the system operates efficiently within the constraints of the planning time fence.
However, for longer horizons, the aggregation of data at a weekly or monthly bucket can be used beyond the short-term horizon.
- For planning beyond the short-term horizon, data can likely be aggregated into larger time intervals such as weekly or monthly buckets. This simplifies data management (data volume across the interface) and focuses on more granular information in the short term and less granular in the long-term. The final aggregation strategy will need to be determined during the detailed design phase, considering factors such as ATP requirements and other operational dependencies.
Product Allocation (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 phase.
Available To Promise (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 the planning processes and manage larger time frames efficiently. (see "Granularity of Planning data" above).
During the detailed design phase, the following topics are discussed further:
- 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 in less granular time buckets. 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
There are a small number of plants that are large and complex enough to warrant the need for a more finite scheduling capability.
There are two options to fulfil this requirement:
- PPDS - SAP's native detailed scheduling engine
- Factory Scheduling - Detailed scheduling using the Maestro platform
In detail design, a decision tree will be defined with criteria that will determine if a manufacturing plant can benefit for detailed scheduling or not. Once this decision tree is agreed and the manufacturing plants assessed, either SAP or Kinaxis will be confirmed as the tool for detailed scheduling.
Cutover Consideration
A number of topics have been discussed in relation to the ERP Rebuild cutover approach:
Use of Existing APS Production System for ERP Rebuild Go-Live:
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 Production Instance:
To ensure continuity and historical reference during the cutover to the new instance, planning history will be migrated to the relevant location 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 2 ERP Rebuild Go-Lives
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.
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 during the go live 1 of the ERP rebuild program.
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 interim period:
Governance
Until the APS and ERP Rebuild projects will merge, planned for June 2026, they will continue to be governed independently by their respective Steering Committees.
However, in order to ensure continuous alignment, the APS project leadership will attend the ERP Rebuild relevant meetings. The monthly Project portfolio meeting will be another forum where the alignment between the two parallel projects will be ensured.
Once the 2 projects merge, the APS project director will become part of the ERP Rebuild leadership team, continuing to lead the Kinaxis team, under the ERP Rebuild project Steering Committee governance.
After the project merger, any changes in the APS project will follow the ERP Rebuild Change Request process.
Resources and Kinaxis Playpen system
ERP Project will require business and Kinaxis professional services resources to support, in the first instance , the Detail design phase. Kinaxis will also provide a free Kinaxis system to be used as playpen throughout 2025.







