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Workflow-Driven Exception Messaging. Oracle ASCP's exception messages alert. Workflows that drive. Global Accessibility. Oracle ASCP's database-centric architecture stores plan data in. These data are accessible from anywhere via a. It is possible for multiple planners to simultaneously access data. Integrated Planning and Execution. Planners do not have to move to the transaction system. Simulation Capability. Oracle ASCP allows many types of changes to supply,. You can generate a plan considering all the changes that have been.
Unlimited numbers of scenarios can be. Examples of the types of changes are firming, changing sources, modifying. You can define lift factors that represent the effect of the events. Events can be assigned along any dimension in your demand plan. For example, you may have a promotion that will only affect a family of products in one geographical region. In addition, you can model new products based on the life cycle of existing products, or you can model new products or versions that supersede existing products.
You can also represent how your new products phase in and phase out. We now have the ability to see when the product really will be available so we can give the customer valid promised ship dates.
We also have the stability to ship from any manufacturing site directly to any customer, which was very difficult with our old systems Randy Kjell, Director of IT, Knowles Electronics. For many customers, the art of promising orders on-time has often not been mastered, especially in a 24x7 business model. Fast, accurate order promising is the key to retaining existing customers and attracting new customers.
Oracle Global Order Promising allows you to make quick delivery promises your customers can rely on. It allows you to consolidate supply and demand information from multiple transaction systems to provide a consolidated global picture of demand and supply.
It is accessible from multiple Order Entry systems, or order capture systems such as web stores and call centers. You can perform a multi-level component and resource availability check across your entire supply chain for the products requested. You can control the organizations and suppliers to be included in the availability inquiry, and you can control the number of levels in your supply chain bill to be considered in your check.
At each level in the supply chain, you can specify the key components and bottleneck resources for which to check availability. In addition, multi-level ATP also considers transit lead-times. Not all customers or demands are completely equal. You have commitments to key customers. You also have new markets you are trying to enter or grow, and new sales channels you are trying to develop.
When the total supply is not adequate to meet total demand, intelligent allocation needs to be done to ensure you meet your strategic objectives. Allocated ATP allows you to allocate or ration your scarce materials and resources among multiple sales channels or customers based on your business strategy. The Oracle Global Order Promising engine has a unique architecture.
In contrast to the conventional wisdom of providing a memory-based ATP engine, the Oracle Global Order Promising engine runs completely inside the Oracle database.
This provides significant architectural benefits that translate to unparalleled scalability and performance. For instance, you do not need to wait for the memory-model to be loaded before providing promise dates to your customer, the data is instantaneously available to the engine as it resides in the database.
Further, the database provides built-in multi-threading while ensuring consistency of available material and capacity, which is leveraged by the engine to process ATP requests in parallel to provide a higher degree of scalability.
Additionally, the Oracle database provides a high degree of uptime and fail-safe recovery which enables a 24x7 ATP operation; a very critical requirement for global operations.
Competitive pressures drive the need to improve customer service and cost simultaneously. Knowing how to provide superior customer service at the lowest possible cost is imperative to survive and prosper in the current competitive environment. Inventory Optimization dramatically reduces your inventory investment while improving the service level you provide your customers and improving your revenue and cash flow.
Inventory Optimization considers the demand, supply, constraints, and variability in your extended supply chain to optimize your strategic inventory investment decisions. It allows you to provide higher service levels to your customers at a significant lower cost by applying inventory postponement recommendations, while simultaneously weighing the impacts on revenue and sourcing. Supply Variability Demand Variability. You can capture the uncertainties in your demand and supply.
Demand variation may be due to seasonal factors, forecast errors, consumer promotions, or new product introductions. Supply variation may be due to lead-time uncertainties or supplier performance issues. Capturing the inherent variability in supply and demand allows you to overcome the limitations of deterministic optimization techniques. Flexible Definition of Service Levels. Your customer service target is not a single number. You can have different goals for different products, customers, or sales channels.
With Oracle Inventory Optimization, you can define targets by item, organization, category, customer, and plan. You can also specify ABC classes as input with service level requirements for items in each class.
Determining the optimum inventory strategy is a process of answering several strategic questions. One is determining what service level objectives to attempt to achieve for each of your product lines and what customers or channels to target. Not all products are equally profitable, and the cost and risk characteristics change over time. Another critical question is where in the supply chain inventory should be held. When products are closer to the end customer, the time required to respond to customer demand goes down, but at the cost of increasing levels of inventory investment, carrying costs, and risk of obsolescence.
The cost of inventory decreases dramatically when it is kept as close as possible to a raw input state, but at the cost of increasing the risk of not being able to rapidly respond to customer demand.
Determining the optimal. Because of the visibility we now have across our virtual supply chain, we have been able to significantly reduce inventory liability. Instantly sharing information about changes in demand or supply with our outsourcing partners gives us all the most precise view of where bottlenecks might occur. Todays planning processes are often a collection of multiple disconnected processes.
In most cases, limited collaboration with customers leads to low forecast accuracy; low visibility to customer forecasts and supplier commits leads to holding too much just in case inventory, increasing inventory costs; 2nd-tier suppliers that deliver key components have no means to interact directly with you; and, indirect costs are high because of extensive expediting and inefficient communication.
The entire process has little collaboration, requires multiple steps, and takes a long time. If involving your customers and suppliers in your supply chain planning processes is one of your priorities, you can leverage Oracle Collaborative Planning to get you there fast at lowest cost.
Collaborate with Customers and Suppliers. You can provide your customers with an easy to use portal to enter forecast information and receive exceptions when their forecast doesnt align with your published order commits. You can use that customer forecast directly in your demand planning process and instantly achieve a more accurate picture of your customers expectations versus your own commitments. Oracle Collaborative Planning provides complete waterfall analysis to allow you to compare customer forecasts over time while at the same time comparing them with your sales forecasts.
On the supplier side, you can compare order forecasts and supply commits, view exceptions for demand-supply mismatches, and analyze supplier commit performance over time through waterfall analysis. Automate Inventory Replenishment.
You can also automate your inventory replenishment by leveraging the Vendor Managed Inventory processes of Oracle Collaborative Planning and use the embedded workflow to tailor your out-of-stock signals to your suppliers.
Supply Chain Exception Management. You can define and monitor exceptions across the entire supply chain, and use thresholds to avoid getting inundated with alerts. You can also define which exceptions are visible to your suppliers and customers, and with what priorities they should be treated. Secure Access through Portals. Collaborative Planning provides robust data security and leverages secure portals to allow trading partners to access the supply chain information that you want to share with them.
You can define flexible security rules that govern which data your suppliers and customers can view and enter, and which exceptions they receive at what thresholds.
When used with iSupplier Portal,. Oracle Advanced Planning allows you to optionally deploy planning on a separate server from your transactional instance.
This allows you to run planning at any time with no conflict with transactions, as well as to perform unlimited simulations without ever impacting performance of other activities. It is also open and allows you to bring in data from other sources or instances. One of the most important implications of this is that Advanced Planning is completely backwards compatible with any supported version of Oracle Applications.
There is no dependency on upgrading the rest of your Oracle Applications, and ASCP can be implemented against your existing Release Workflow Based Process Automation. Oracle Advanced Planning makes extensive use of workflow to enable process automation and automated corrective action. This allows you to significantly reduce the non-value added costs of manual activity. Workflow notifications will be send when exceptions arise, or for example when orders cannot be delivered on the requested date, or when supply is directed from a lower ranked channel to a higher ranked channel.
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