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・ Customer (song)
・ Customer Access and Retrieval System
・ Customer Account Data Engine
・ Customer acquisition cost
・ Customer acquisition management
・ Customer advisory council
・ Customer advocacy
・ Customer analytics
・ Customer attrition
・ Customer base
・ Customer benefit package
・ Customer communications management
・ Customer Cost
・ Customer data management
・ Customer delight
Customer Demand Planning
・ Customer dynamics
・ Customer edge
・ Customer engagement
・ Customer engineer
・ Customer equity
・ Customer experience
・ Customer experience systems
・ Customer experience transformation
・ Customer feedback management services
・ Customer franchise
・ Customer Identification Program
・ Customer insight
・ Customer integrated system
・ Customer intelligence


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Customer Demand Planning : ウィキペディア英語版
Customer Demand Planning

Customer Demand Planning (CDP) is a business-planning process that enables sales teams to develop demand forecasts as input to service-planning processes, production, inventory planning and revenue planning.〔Lee J. Krajewski, Larry P Ritzman, Manoj K. Malhotra: "Operations Management: Process Chain and Value Chains, 8th Edition", page 521. Pearson Education, Inc. 2007, ISBN 0-13-169739-0〕
== Definition of CDP ==

CDP is an important aspect of managing value chains. Generally, the first step of CDP is to forecast product demand. A manager can plan resource deployment in accordance with the resulting forecasts. It's a bottom-up approach vs. top down planning. Associated risks with this method are: Low forecast accuracy and numbers of planners required. There are various software systems created by companies such as (Dynasys ), Avercast, Demand Solutions, RightChain TM, SAS System, Agentrics, Manugistics, Oracle, Petrolsoft Corporation (now Aspen Technology), StatSoft, (ToolsGroup ) and (GMDH Shell ) that help businesses forecast demand and plan operations. To test the added value of implementing bottom-up approach, SAP APO applications are providing simulations functionalities to estimate the resulting Demand Forecast Accuracy (e.g. POS sales ; Sales invoices ; shipments, etc.)
In the manufacturer to retailer model, customer collaborative partnerships have been become more common since the 1990s. Although there was a lot of industry support behind CPFR (Collaborative Planning, Forecasting and Replenishment), manufacturers and retailers are adopting different versions of collaborative forecasting and replenishment strategies. These include Collaborative-VMI, CPFR, Account Based Forecasting, CMI, Shared Single Forecast and replenishment etc.
The Demand management in the 21st Century is a more complete view of the business.
Demand Management is not merely forecasting. Demand management strives to manage all the activities associated with discovering markets, planning products or services for those markets and then fulfilling the customers ‘demand’. It is an integrative set of processes across, not just the enterprise, but the trade partner network.
Do you really understand your market? Are you sure you know who your customer is and what draws them to your business? And when they get there are they actually happy with your assortment—your product offering and service? And even if they buy, are you getting the wallet share you could be getting?
These are profound questions for any business.
Most businesses think they can answer the first question, somewhat. They have a characterization of their customer, an archetype, a segmentation model that describes their customer base. But when you probe further into even the best firms, they admit that these models are often insufficiently mapped to the actual customers who spend with them. And they have few programs, if any to access those who don't spend but could be spending.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Customer Demand Planning」の詳細全文を読む



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