Stephen Michael Disney

TL;DR: In this paper, the authors classify collaboration initiatives using a conceptual water-tank analogy, and discuss their dynamic behavior and key characteristics, concluding that the effectiveness of supply chain collaboration relies upon two factors: the level to which it integrates internal and external operations, and the efforts are aligned to the supply chain settings in terms of the geographical dispersion, the demand pattern, and product characteristics.

TL;DR: In this paper, a general decision rule is introduced that avoids variance amplification and succeeds in generating smooth ordering patterns, even when demand has to be forecasted, regardless of the forecasting method used.

TL;DR: It is proved that the bullwhip effect is guaranteed in the order-up-to model irrespective of the forecasting method used, and a general decision rule is introduced that avoids variance amplification and succeeds in generating smooth ordering patterns, even when demand has to be forecasted.

TL;DR: VMI is shown to be significantly better at responding to volatile changes in demand such as those due to discounted ordering or price variations, and inventory recovery as measured by the integral of time×absolute error performance metric is substantially improved via VMI.

TL;DR: This paper examines the beneficial impact of information sharing in multi-echelon supply chains and introduces acontrolengineering based measure to quantify the variance amplification (bullwhip) or variance reduction of supply chain replenishment rules.