Analyzing the Effectiveness of Availability Management Process

Availability management is a major factor for successful supply chain management since it influences key supply chain performance metrics such as customer service level and inventory. The availability management process involves generating availability outlook, scheduling customer orders against the availability outlook, and fulfilling the orders. The process is also associated with many uncertainties such as customer demand, customer preference of product configuration, changes in supply constraints and various supply chain policies, which also affect the supply chain performances. As e-Commerce is becoming a major part of business transaction it is much easier for customers to compare availability and services from many different sellers. Therefore, it is important for sellers to process customer orders in real-time, promise ship dates, fulfill the orders as promised, and to have availability of resources to be able to promise customers desirable ship dates. In today’s competitive and dynamic business environment, companies need to continually evaluate the effectiveness of availability management process and supporting IT system, and look for ways to transform the process to achieve a better customer services and profitability. In order to do that there is a need for an easy-to-use modeling tool that can accurately assess the effectiveness of existing availability management process, evaluate the impact of potential changes to the process and identify opportunities for improvement. In this paper, we describe an availability management simulation tool that was developed at IBM to support the continuous effort to improve availability management process. The simulation model has become a critical tool in making strategic business decisions that impacts customer services and profitability in IBM.

By: Young M. Lee

Published in: RC23903 in 2006


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