Bullwhip EffectThis essay Bullwhip Effect is available for you on Essays24.com! Search Term Papers, College Essay Examples and Free Essays on Essays24.com - full papers database.
Autor: anton • November 15, 2010 • 542 Words (3 Pages) • 420 Views
The Bullwhip Effect in Supply Chains
Bullwhip Effect Happen in many companies in the world like the case of (P&G on the diapers and the case of HP for one of its printer). Before HP rely on the sales order from the reseller to make product forecast, plan capacity, control inventory, and schedule production this cause big variation in demand. Then the variation makes more problems like excessive inventory, poor customer service, uncertainty production planning, and high costs for corrections. This distorted information that is happened led every entity in the supply chain to stock pile. Because, the ordering pattern is commonly the upstream sites are always greater than those on the downstream site. This why the company need to first understand what creates the bullwhip effect so they can counteract it.
Cause of bullwhip effect may cause by human behavior, such as misconception about inventory and demand information. However the article says it in contrast, that it is cause by consequence of the playerÐ²Ð‚™s rational behavior within the supply chainÐ²Ð‚™s infrastructure. They indentified four major causes:
1. Demand forecast updating, from the order history
2. Order batching, the customerÐ²Ð‚™s order on the same time during the period.
3. Price fluctuation may cause by the special promotion that make customer buy in bigger quantity than needed
4. Rationing and Shortage gaming, When the demand exceed supply rations the product to customers is happened.
So to counteract these problems people must understand the cause of the bullwhip effect, this help the managers to find strategies to mitigate it. Many companies have begun to implement innovative program, however it only partially solve the problems. So they try to examine how company tackles each of the four causes with using operational efficiency (reduced cost and lead time) that are:
1. Avoid Multiple Demand Forecast Updates: make demand data at downstream site available to the upstream site. So both sites can update