Volume 57 : 3
Liber Amicorum Dedicated to Prof. Marc Lambre
Tribute to Marc Lambrecht
Public Private Partnerships: Look before you Leap into Marriage
Mix, Time and Volume Flexibility: Valuation and Corporate Diversification
Matrix-Analytic Methods in Supply Chain Management: Recent Developments
Managing Variability in Manufacturing and Services
Combining a Quantitative Approach of Planning and Control with a Lean Approach: Reflections on a Case Study
Sales and Operations Planning Revisited: Linking Operational and Financial Performance
The Value of Multi-Echelon Models
Bullwhip in a Multi-Product Production Setting
The Return of the Bullwhip
Liber Amicorum Dedicated to Prof. Marc Lambre
Tribute to Marc Lambrecht
Public Private Partnerships: Look before you Leap into Marriage
Mix, Time and Volume Flexibility: Valuation and Corporate Diversification
Matrix-Analytic Methods in Supply Chain Management: Recent Developments
Managing Variability in Manufacturing and Services
Combining a Quantitative Approach of Planning and Control with a Lean Approach: Reflections on a Case Study
Sales and Operations Planning Revisited: Linking Operational and Financial Performance
The Value of Multi-Echelon Models
Bullwhip in a Multi-Product Production Setting
The Return of the Bullwhip
Year
2012
Volume
57
Number
3
Page
381
Language
English
Court
Reference
A.G. DE KOK, “The Return of the Bullwhip”, RBE 2012, nr. 3, 381-392
Recapitulation
In this paper we present a two-echelon inventory system consisting of a warehouse that does not hold stock, and multiple retailers. The demand at the retailers is stationary and demand per period is normally distributed. The retailers forecast demand using single exponential smoothing, leading to dynamic demand forecasts. Thus the retailers use dynamic inventory control policies aimed at achieving a target service level. The dynamic policies are based on covering the forecasted demand over the lead time plus some safety time. The safety time is the control parameter to be determined, such that the target service level is met. This model allows us to study the impact of demand information distortion due to forecasting on the safety stock requirements of the retailers. We derive explicit expressions for the control policies and the safety time parameters. We introduce a new amplification factor ? that measures the relative increase in safety time requirements under demand information distortion due to the exponential smoothing with parameter ?. We derive quantitative and qualitative insights into the impact of the model parameters on the safety time amplification factor ?. We show that under demand distortion it may be favorable to reduce the review frequency.
