Matches in DBpedia 2016-04 for { ?s ?p "The bullwhip effect is a distribution channel phenomenon in which forecasts yield supply chain inefficiencies. It refers to increasing swings in inventory in response to shifts in customer demand as you move further up the supply chain. The concept first appeared in Jay Forrester's Industrial Dynamics (1961) and thus it is also known as the Forrester effect. The bullwhip effect was named for the way the amplitude of a whip increases down its length. The further from the originating signal, the greater the distortion of the wave pattern. In a similar manner, forecast accuracy decreases as move upstream along the supply chain. For example, many consumer goods have fairly consistent consumption at retail. But this signal becomes more chaotic and unpredictable as you move away from consumer purchasing behavior.In the 1990s, Hau Lee, a Professor of Engineering and Management Science at Stanford University, helped incorporate the concept into supply chain vernacular using a story about Volvo. Suffering a glut in green cars, sales and marketing developed a program to move the excess inventory. While successful in generating the desired market pull, manufacturing didn't know about the promotional plans. Instead, they read the increase in sales as an indication of growing demand for green cars and ramped up production.Research indicates a fluctuation in point-of-sale demand of +/- five percent will be interpreted by supply chain participants as a change in demand of up to +/- forty percent. Much like cracking a whip, a small flick of the wrist (a shift in point of sale demand) can cause a large motion at the end of the whip (manufacturer’s response)."@en }
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- Bullwhip_effect abstract "The bullwhip effect is a distribution channel phenomenon in which forecasts yield supply chain inefficiencies. It refers to increasing swings in inventory in response to shifts in customer demand as you move further up the supply chain. The concept first appeared in Jay Forrester's Industrial Dynamics (1961) and thus it is also known as the Forrester effect. The bullwhip effect was named for the way the amplitude of a whip increases down its length. The further from the originating signal, the greater the distortion of the wave pattern. In a similar manner, forecast accuracy decreases as move upstream along the supply chain. For example, many consumer goods have fairly consistent consumption at retail. But this signal becomes more chaotic and unpredictable as you move away from consumer purchasing behavior.In the 1990s, Hau Lee, a Professor of Engineering and Management Science at Stanford University, helped incorporate the concept into supply chain vernacular using a story about Volvo. Suffering a glut in green cars, sales and marketing developed a program to move the excess inventory. While successful in generating the desired market pull, manufacturing didn't know about the promotional plans. Instead, they read the increase in sales as an indication of growing demand for green cars and ramped up production.Research indicates a fluctuation in point-of-sale demand of +/- five percent will be interpreted by supply chain participants as a change in demand of up to +/- forty percent. Much like cracking a whip, a small flick of the wrist (a shift in point of sale demand) can cause a large motion at the end of the whip (manufacturer’s response).".
- Q1343909 abstract "The bullwhip effect is a distribution channel phenomenon in which forecasts yield supply chain inefficiencies. It refers to increasing swings in inventory in response to shifts in customer demand as you move further up the supply chain. The concept first appeared in Jay Forrester's Industrial Dynamics (1961) and thus it is also known as the Forrester effect. The bullwhip effect was named for the way the amplitude of a whip increases down its length. The further from the originating signal, the greater the distortion of the wave pattern. In a similar manner, forecast accuracy decreases as move upstream along the supply chain. For example, many consumer goods have fairly consistent consumption at retail. But this signal becomes more chaotic and unpredictable as you move away from consumer purchasing behavior.In the 1990s, Hau Lee, a Professor of Engineering and Management Science at Stanford University, helped incorporate the concept into supply chain vernacular using a story about Volvo. Suffering a glut in green cars, sales and marketing developed a program to move the excess inventory. While successful in generating the desired market pull, manufacturing didn't know about the promotional plans. Instead, they read the increase in sales as an indication of growing demand for green cars and ramped up production.Research indicates a fluctuation in point-of-sale demand of +/- five percent will be interpreted by supply chain participants as a change in demand of up to +/- forty percent. Much like cracking a whip, a small flick of the wrist (a shift in point of sale demand) can cause a large motion at the end of the whip (manufacturer’s response).".