Este trabajo ilustra no sólo una innovadora forma de estudiar el efecto látigo, o una forma distinta de modelar las cadenas de suministro usando los principios. Se debe a un desajuste en la cadena de suministro entre las Relación entre precio-demanda pueden incrementar o mitigar el efecto látigo. Efecto Latigo Solución CPFR Planeación agregada. Es la sincronización de la estrategia de la cadena de suministro y de competitiva. Causas.

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Consider also that the suppliers can receive orders that vary from 80, to zero units from one month to the next. Pepsi uses its own fleet of trucks to pickup the materials from some suppliers. We have a minimum stock inventory policy In figure 9 we can see, in the first place how production orders and purchases vary with respect the receipt of raw materials and production efetco finished goods.

The model’s validity is based on the consensus and acceptance from the managers rather than in the statistical proves. However, due to its simplicity, the model is limited in different ways.

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Rectangles represent stock positions of raw materials, WIP and finished goods. A possible problem to define such a seasonal policy is the uncertainty. In the second part of the paper we use two scenarios to analyse various changes in policies. The launch of Mountain Dew contributed dee to growth in Russia.

The Purchase manager uses his stock position and forecast to order. Modelling considerations In our case study we work with the main bottler of PepsiCo Beverages International in Mexico: The oscillation frequency is considerably high.


Conclusions and further research In this paper it was not our intention to develop a technique to define the best policies, nor the best way to define new policies in order to improve supply chain behaviour. In fact, with suminjstro week of phase lag. Demand is clearly seasonal during the year, with peaks during sn summer between weeks 15 and The amplitude and frequency of these oscillations are uncorrelated with market oscillations.

Rate variables are de fined: Scenarios included changes in forecast policies and purchase orders. I believe that production used to do a good job, same as sales However, during the first week the distribution manager orders finished goods from the DC upstream to return to the planned stock levels and cover expected future product demand.

As we have said, the purchase policy rule for raw materials implies dramatic amounts of amplification, phase lag and oscillation in the purchase orders. When a new product launch happens, we have to work closely with designers from PepsiCo Mexico. For instance, the SD model can be extended to study scenarios where more information flows are available, where some conflict of interest affecting the policies between internal and external managers are considered, such as performance measurements.

However, we know that since it is impossible to completely eliminate the bullwhip effect, it is desirable to define heuristic policies that help to control and coordinate the supply chain while customer service is high, resulting in higher operating and financial performance.


The model can include promotional events and the introduction of new products, in such a way that the forecast is not only influenced by past weeks but also by marketing campaigns.

Daniela Pertuz

suminisro In this way I can optimize the number of changes and setups, lativo different flavours and sizes European Journal of Operational Research, 3, pp. Finally, it is important to say that even when the model’s calibration process has not been described in detail in this paper it is in general possible to calibrate a model of this complexity to match many data samples.

The value of Input at DelayTime time units earlier in the simulation.

We have also orders to be confirmed on a monthly basis. In the hypothetical infinite order delay pipeline delay nothing happens to the output until the delay time has elapsed. From figure 8 it is possible to see that finished goods inventories at the RDCs move before the finished goods at the DCs.

… more than classic ‘beer game’.

The initial inventory is 20, units. Inventories peak between weeks 15 and 25 which coincides with the summer. Much of that innovation focused on carbonated soft drinks Figure 2.

They recognise that their main business is distribution since advertising depends on PepsiCo Headquarters.