Eager to explore sap s4 hana modules? With our comprehensive sap s4 hana tutorial, you can navigate through the various within SAP S/4HANA modules, including Sap ppds , to understand how they incorporate and transform your business processes. Production Planning and Detailed Scheduling, or SAP PPDS, is a vital part of SAP S/4HANA. It gives you the ability to precisely manage your production processes, which enables you to meet client requests while cutting expenses as its not just about production; it's about excellence.
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SAP PPDS which stands for SAP Production Planning and Detailed Scheduling, is a functional module of the SAP ERP solution that provides order-based planning for production orders (PP) or process orders (PP-PI), which are then translated into manufacturing orders for execution. Within the PP/DS horizon these are implemented according to sequences and setup times.
The module is designed to reduce work in progress (WIP) while also taking into account resource capacity and material availability and improving resource use. The component is divided into two sections: planned and detailed scheduling, which is useful for determining the optimal quantities to produce in order to meet demand and limit overstocks, and product set-up time which refers to the time lost when switching from one product to the next.The module assists in determining how much of each product should be produced on a per-period basis. This is determined for finished products first followed by intermediate semi-finished products. You will get to know more about it in details in our SAP HANA s4 PPDS online training.
In Technical Terms:
SAP Production Planning and Detailed Scheduling (PPDS) is a module within the SAP S/4HANA system that focuses on the efficient planning and execution of production processes in manufacturing environments. It enables businesses to optimize their production schedules, resources and materials to meet customer demand while minimizing costs and maximizing productivity.
PPDS in sap is built on the SAP Advanced Planning and Optimization (APO) platform, which provides powerful algorithms and tools for effective production planning. It integrates with other SAP modules like Material Management (MM), Sales and Distribution (SD) and Plant Maintenance (PM) creating a seamless flow of information across the organization.
At the core of PPDS in sap the detailed scheduling engine which takes into account various constraints such as machine capacities, labor availability, material availability and production lead times. It creates an optimized production schedule by considering all these factors, ensuring that production plans are both realistic and efficient.
1.Procurement Quantity Calculation: Procurement quantity calculation determines the quantity of a material that needs to be procured or produced to fulfill the demand. It considers factors like safety stock, lead time, batch size and minimum order quantity to arrive at the optimal procurement quantity.
2.Source Determination: Source determination is the process of identifying the sources or supply sources from which a material can be procured. It takes into account various sources such as internal production, external vendors or other plants within the organization.
3.Order Lead Time Reduction: SAP PPDS helps in reducing order lead time by optimizing production schedules and material allocation. By efficiently managing resources and minimizing setup times the system ensures faster processing of production orders and reduces the time taken from order placement to delivery.
4.Net Requirements Calculation: This feature involves determining the net requirements for a material or product by subtracting the available quantity (stock on hand and planned receipts) from the total requirements (demand from sales orders, planned independent requirements, etc.). Net requirements calculation helps in planning and managing inventory levels effectively.
5.Safety and Target Stock Level Planning: Safety stock level planning involves maintaining a buffer stock to safeguard against fluctuations in demand or supply. Target stock level planning defines the optimal stock level to meet customer demand while avoiding excess inventory. These functions ensure inventory stability and meet service level requirements.
1.PP Planning Procedures: Production Planning Procedures in PPDS refer to the various methods and strategies used to plan and schedule production activities. These procedures outline the steps involved in creating a production plan, considering factors such as demand forecasts, inventory levels, and production capacities. Different planning procedures may be used for different product lines or production scenarios to optimize efficiency and resource utilization.
2.Production Planning Run: The Production Planning Run is a critical feature in PPDS that executes the production planning process based on the defined planning procedures. During this run, the system generates a detailed production schedule considering input data like customer demands, available inventory, and production resources. The planning run results in a comprehensive production plan that guides the manufacturing activities over a specific time horizon.
3.PPDS Optimization: PPDS in sap includes optimization algorithms that automatically generate the best possible production plan by considering various constraints and objectives. The optimization process aims to maximize resource utilization, minimize setup times, reduce production costs, and meet customer demands on time. This feature allows businesses to streamline their production processes and achieve higher operational efficiency.
4.Pegging: Pegging in PPDS establishes the relationship between different production elements, such as sales orders, production orders, and planned orders. It helps track the dependencies and origins of various demands and supply elements in the production process. By analyzing pegging information, planners can understand the impact of changes in demand or supply on the overall production schedule, facilitating better decision-making and risk management.
There are several other Production management and operations solutions available in the market such as Jira, Trello, Asana, Productboard, Craft.io etc. While these solutions offer some benefits they still fall short when compared to SAP PPDS.
For instance, Jira provides Powerful issue and project tracking with extensive customization options but Steeper learning curve for new users due to its rich features and complexity. Trello offers Simple and user-friendly interface but may not be suitable for complex project management needs. Asana offer Robust task and project management capabilities with various integrations but may require time to adapt to the workflow. Productboard offers features like roadmapping, feedback collection and prioritization but Can be expensive for small teams or startups. Craft.io Focus on product planning and roadmapping but May lack certain advanced project management functionalities offered by other solutions.
Here's a comparison between SAP PPDS and other Production management and operations solutions:
|Other Production Management Solutions
|Advanced production planning functionality
|Varies - Some offer basic planning features
|Detailed scheduling capabilities
|Scheduling features may differ
|Manufacturing Execution System (MES)
|Integrated with SAP MES
|Most solutions do not include MES integration
|Integration with ERP/MRP Systems
|Seamless integration with SAP ERP/MRP
|Integration options vary by solution
|Supply Chain Collaboration
|Collaboration with suppliers and partners
|Some offer limited supply chain collaboration
|Shop Floor Control
|Real-time shop floor monitoring and control
|May not include shop floor control capabilities
|Analytics and Reporting
|Advanced production analytics and reporting
|Reporting capabilities may vary
|Available on SAP Cloud Platform
|Some solutions are cloud-based, others on-prem
|Licensing models may differ
|Suitable for various industries
|Some solutions cater to specific industries
Interactive planning is a dynamic and collaborative approach to the procedure for developing, modifying and optimizing plans, strategies and decisions within a company. It involves the use of interactive tools, technologies and methodologies to engage stakeholders facilitate real-time discussions and make informed choices based on accurate and up-to-date information. Interactive planning goes beyond traditional static planning methods by enabling users to actively participate in the planning process allowing for quicker responses to changing conditions and uncertainties.
Interactive planning tools often include visualizations, simulations, dashboards and analytics that provide a dynamic view of data, scenarios and outcomes. These tools allow users to interact with the data, experiment with different assumptions and see the immediate effects of adjustments. This real-time feedback loop empowers decision-makers to make well-informed choices that align with organizational goals.
One of the key advantages of interactive planning is its agility. In rapidly changing business environments traditional static plans can quickly become outdated. Interactive planning allows organizations to respond fast to market shifts, regulatory changes or unexpected events by providing a platform for scenario planning and rapid adjustments.
Interactive Plan Process:
The process is divided into five stages:
- 1.Mess formulation: It includes an overview of the issues that must be resolved as well as a range of potential prospects for the business.
- 2.Ends planning: This stage comprises locating any holes in the current plan.
- 3.Means planning: This stage involves considering and creating alternatives to fill the gaps found during the Ends planning stage.
- 4.Resource planning: In the fourth phase, resources are identified as well as those required to solve challenges and a plan to fill the resource gap.
- 5.Implement means: During this phase, you must choose the best and most practical options from the available possibilities, assign the duties to the appropriate parties, and create a control system to monitor your progress.
Advanced Detailed Scheduling (ADS) is a sophisticated approach to production and operations planning that aims to optimize the allocation of resources, materials and time in manufacturing processes. It goes beyond basic scheduling methods by considering complex factors such as machine availability, labor constraints, material availability and order priorities. ADS utilizes advanced algorithms and software solutions to create highly efficient and realistic schedules that maximize throughput, minimize production costs and enhance overall productivity.
In ADS, the scheduling process is finely tuned to match the complexities of modern manufacturing environments. It involves creating detailed plans for each production task, taking into account the specific requirements of each product, the capabilities of different machines and the availability of skilled workers. By incorporating real-time data and constraints, ADS allows organizations to adapt schedules rapidly in response to changes, disruptions or unexpected events.
One of the primary benefits of ADS is its ability to optimize resource utilization. ADS also contributes to enhanced decision-making. Through simulations and scenario analysis organizations can evaluate the impact of different scheduling strategies and make well-informed choices that align with business goals. This proactive approach enables firms to recognize possible obstructions, effectively allocate resources, and appropriately distribute manufacturing orders.
As technology continues to evolve, ADS is becoming more powerful and accessible. Advanced software solutions use artificial intelligence, machine learning and predictive analytics to continuously refine and improve scheduling accuracy. These tools enable organizations to achieve higher levels of automation, data-driven decision-making and adaptability to changing market dynamics.
Heuristics are problem-solving strategies or methods that offer practical and often efficient approaches to finding solutions or making decisions, especially in situations where an optimal solution may be complex or difficult to determine. Heuristic is a planning function that executes planning for certain items (depending on the planning significance, products, resources, processes or line networks). The heuristic does this through the use of a heuristic-specific process. Heuristics provide a set of guiding principles that help individuals or systems navigate through various challenges, uncertainties and information gaps.
Heuristics are particularly valuable when faced with time constraints, limited resources or ambiguous situations. They allow decision-makers to quickly arrive at satisfactory solutions without exhaustive analysis. However, heuristics might not always guarantee the best outcome; instead, they aim to provide good enough solutions that are practical and feasible within the given context.
One well-known example of a heuristic is the "rule of thumb," which is a simple guideline or rough estimate that is easy to remember and apply. Another example is the "availability heuristic," where individuals assess the likelihood of an event based on how readily examples come to mind. While heuristics can lead to effective and efficient decision-making they can also introduce biases and errors if not applied carefully.
"What-if" analysis, also known as sensitivity analysis or scenario analysis, a powerful decision-making technique used to assess the potential impact of different variables or assumptions on outcomes in various situations. It involves systematically exploring a range of possible scenarios by changing one or more factors while keeping other elements constant. This analysis helps individuals, businesses and organizations make informed decisions by providing insights into how changes in variables can influence results. "What-if" analysis is widely used across diverse fields including finance, economics, project management and risk assessment.
The process of "what-if" analysis typically involves creating models or simulations that reflect the relationships between various factors. These models can be as simple as spreadsheets or as complex as advanced simulation software. By altering input variables and observing the corresponding changes in outcomes decision-makers gain a deeper understanding of the dynamics at play and can make more informed choices.
One of the key benefits of "what-if" analysis is its ability to enhance risk management and decision resilience. By exploring different scenarios individuals can identify potential vulnerabilities, assess the likelihood of various outcomes and develop contingency plans to mitigate risks. This approach empowers proactive decision-making and helps organizations navigate uncertainty more effectively.
However, it's essential to recognize that "what-if" analysis is based on assumptions and simplifications and its accuracy depends on the quality of input data and the robustness of the models used. Complex interactions and unforeseen factors may not always be captured accurately and the analysis might not account for every possible outcome.
Rapid Response Planning Tools, often referred to as RRPTs are advanced software solutions designed to enable organizations to quickly and effectively respond to dynamic and unpredictable situations, such as supply chain disruptions, natural disasters or sudden shifts in market demand. These tools combine real-time data integration, analytics and scenario modeling to facilitate agile decision-making and rapid course corrections in the face of uncertainty.
By aggregating data from multiple sources including suppliers, customers, production facilities and logistics RRPTs offer a comprehensive and up-to-date view of the entire supply chain or operational ecosystem. This real-time insight enables organizations to identify potential issues, assess the impact of different factors and evaluate alternative strategies on the fly.
RRPTs excel in their capacity to create and simulate various scenarios to assess potential outcomes. By providing a platform for "what-if" analysis and scenario planning, RRPTs empower organizations to make more informed and effective choices, minimizing disruptions and optimizing performance.
The benefits of RRPTs extend beyond just crisis management. Organizations can use these tools to enhance overall operational efficiency by continuously monitoring and adjusting plans based on real-time data. They can also support demand forecasting, inventory management and capacity planning leading to improved customer service, reduced costs and increased competitiveness.
The average salary for SAP S/4 HANA PPDS consultants range is around $148,200 per year.
SAP S/4 HANA PPDS generates around 64,000 jobs every year. (Source : indeed.com)
SAP S/4 HANA PPDS has a market share of about 8.59% and thus a great growth potential in future.
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SAP PPDS, or Production Planning and Detailed Scheduling, is a module within SAP's supply chain management suite that helps organizations plan, schedule, and optimize production processes.
The goal of SAP PPDS is to optimize production processes by ensuring the right products are produced in the right quantities at the right times, taking into account resource availability and constraints.
Implementing SAP PPDS can lead to improved production efficiency, optimized resource utilization, reduced lead times, better customer service and increased overall supply chain visibility and control.
No, you cannot access SAP PPDS data and functions on mobile devices.
The course fees of SAP PPDS is 45,000 /- INR.