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Enhanced all roles from Portfolio: Supply chain planning & Optimization
The release enhances the four supply chain planning and optimization roles are: Supply Chain Director, Demand Planner, Collaborative Forecasting, and Supply Planner. They are focused on Sales & Operations Planning (S&OP), the critical business process that brings together Sales, Finance, Production, Marketing and other key departments to balance demand and supply in the supply chain on an 18-month horizon. S&OP is a critical forward-looking decision making process, which then triggers and feeds the rest of the supply chain management processes such as supply chain planning and production planning.
Release 2020x brings enhancements across the 4 roles, including breakthroughs in supply chain model optimization with the new meta-optimizer architecture, model based demand planning for unique digital continuity from engineering to S&OP, rule based forecasting, and expiration date management.
- DELMIA Quintiq S&OP provides already a world record-breaking optimizer of the model of the supply chain, producing a supply plan - including sourcing, manufacturing and logistics - which meets the business goals (financials, service levels, inventory levels, etc.). In this release, the optimizer leverages our new meta-optimizer architecture. This architecture ensures that our mathematical optimizer can now handle even bigger, and more complex supply chain models, including more complex constraints like lot sizes and transportation quantities. On top of the better performance, it also provides a better user experience by allowing the user to see intermediate results of the optimizer during the calculation, which gives the potential to analyze the run and steer the optimizer result during the run.
To ensure further digital continuity from engineering to S&OP and demand planning, demand planning is now model based: the product configurations which are available on the 3DEXPERIENCE platform are now the basis to create demand forecasts. This is unique to 3DS and is a next step in breaking the silos between Product Management and S&OP. It reduces time to market and increases collaboration with product engineering.
Rule based forecasting is introduced into the Demand Planning solution, which is another step in supporting management by exception and better quality forecasts. The solution already supports 15 methods for statistical forecasting. Demand planners typically choose the appropriate statistical forecasting method for their data based on their experience and knowledge. DELMIA has captured this accumulated experience and knowledge into ‘rules’. Rule based forecasting analyzes the time series (like sales history), and identifies which of the 15 forecasting techniques provide good quality forecast. This supports the Demand Planner in creating more accurate forecasts.
Supply Planning now handles shelf life management or expiration date management, including maturation, which adds more value to the stock management processes and optimization of the stock usage. The solution will now create production or transportation plans taking into account the expiration dates of the products. It makes better use of the near-to-expiration inventory, and prevents using expired products. The solution also handles maturation constraints, where a product needs a certain maturation time before it becomes available for use. Such maturation constraint ensures that a product is ready to be consumed, which is especially important for Food and beverage and Life Sciences organizations.
New role: Service Process Engineer
DELMIA Release 2020x introduces the new Service Process Engineer role to better address the needs of complex product servicing and Maintenance, Repair and Operations (MRO) activities. With Service Process Engineer, the service items definition (that is the version of the physical product structure used for BOM-centric services processes, akin to Service BOM) can now be fully model-based, so that MRO can be performed using the 3DEXPERIENCE Twin. One of the many benefits is also digital continuity from engineering to manufacturing to services on the configured product (which is key for services because of product personalization in the field).
This service items definition can be generated from the engineering product definition (akin to the engineering BOM). As a result, designers, manufacturing engineers, and service process engineers can work on a single configured 3D model, each with their own view tailored to their needs.
The workflow starts with a maintenance order. The service process engineer creates a service items definition using data from the engineering product definition. The parts are aggregated into a service kit and sent to procurement through the company’s ERP system. The service process engineer then defines the maintenance tasks activities (MTA) by selecting the items to be consumed or disassembled, type of technician needed, tasks, and tools required for the operation.
This role can be used in conjunction with other existing DELMIA roles such as Process Simulation Analyst to perform disassembly and re-assembly simulations, or Work Instructions Designer to generate graphical work instructions for the service process.
In addition, the Service Process Engineer role advances the ability to develop a holistic 3DEXPERIENCE twin of a product, since creating such a twin requires that all digital product representations leverage the same underlying model.
Enhanced role: Industrial Engineer
The Industrial Engineer (IEN) role is dedicated to the simulation and optimization of material and resource flow in a 3D Virtual Factory model. Its primary purpose is to identify production bottlenecks in the virtual world and allow Industrial Engineers to test alternative solutions to improve the production rate. In release 2020x:
- This role has been enhanced with new capabilities in factory flow simulation for operations with Just-In-Time (JIT) and Continuous-Flow Lines systems. JIT refers to the delivery of parts or materials to manufacturers at or near the time of assembly, while Continuous-Flow manufacturing is associated with the JIT and Kanban systems. This results in an optimally balanced line with minimal inventory, lowest cost, and on-time production.
- Another key enhancement can be found in the modeling and simulation of Automated Guided Vehicles (AGV) and conveyors. AGVs are “driverless vehicles” used in material handling within a warehouse or factory. Typical operations include transporting materials to storage areas and delivering work-in-progress parts to manufacturing production lines. In 2020x, the AGV logic contains advanced features that simulate a pool of (rather than a single) AGVs on the shop floor. New capabilities include detecting the closest or farthest AGV within a pool, parts retrieval, the parking zone following a task, and prohibited zones.
- IEN enables users to run multiple scenarios concurrently in batch mode.
- And finally, the addition of KPIs in Release 2020x provides an effective way to analyze productivity on the factory floor, including that of AGVs, and compare scenarios.
New role: Distorsion Checker for Additive Manufacturing
As part of the Additive Manufacturing solution of Dassault Systemes, the Distortion Checker role provides unique SIMULIA capabilities to run a physically realistic thermo-mechanical a simulation of the part as it is built up during the 3D printing process, taking into account the stress constraints, and as it cools down. For example, printed parts warp when they are printed and part distortion is predicted and can be accounted for. Support structures (both their addition and removal) are easily included. Material behavior (such as cool down) variations with print parameters (thickness of layer, print path and speed) are modeled. As a result, the Distortion Checker has a virtual environment to assess and optimize the 3Dprinting process and ensure that parts can be property manufactured the first time. All of this functionality is now provided in intuitive and simplified interface tailored to non-simulation-expert users.
New role: Part Preparation for Manufacturing Engineer
Also new in this release, the ‘Part Preparation for Manufacturing Engineer’ (DPP) role is tailored to manufacturing engineers and includes the fundamental CATIA design capabilities needed to refine a part geometry for 3D printing and downstream fabrication processes.
New role: Robotics Optimization Expert
Programming robotic movement through a maze of tooling or inside a partially assembled product without colliding with another object can be complex. For example, robots are extensively used in automotive manufacturing; when large parts such as dashboards are picked up by a robot during assembly, there are numerous collision points that a robot needs to avoid in order to perform a successful installation. The manual process of calculating these collision points can be tedious and lengthy.
Release 2020x brings the new Robotics Optimization Expert role (ROS) which solves this problem by automatically finding an optimal, collision-free path for robot trajectories. This uses an advanced and proprietary Rapidly Exploring Random Tree (RRT) algorithm to calculate collision-free paths based on user inputs such as start & end positions, distance from another object, and clearance needed. For customers who use our V5 solution - which previously required a third-party program- , the role offers more advanced capabilities and a 3DEXPERIENCE transition path.
