EFECTO LATIGO EN LA CADENA DE SUMINISTRO PDF

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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First the state variables are defined by: Better coordination of the supply chain by managers can be promoted once managers are conscious of the global effects of their heuristic policies in the system. In this way I can optimize the number of changes and setups, for different flavours and sizes This warehouse capacity not only represents a latibo asset cost but also an inventory cost due to the financial investment.

Medición del efecto látigo en redes de suministro | Unilibre | INGENIARE

The initial inventory is 20, units. Every week we check our inventories and pay their invoices. This seasonal policy behaves relatively well for the historic demand of the yearbut due to its rigidity, the same performance for the following years is not expected.

Given the motive of this business, it is not possible to count on the supply of backorders either.

The dotted line represents the forecast value and in green we cadeha the ‘real’ demand. If we use sales instead of demand in forecasting we can constrain the market to sell only what we think that we will sell, instead of what the cadwna wants. During the first week we have no arrivals but sales of 13, units, resulting efwcto a closing inventory of 6, units.

Due to the inventory policies, the safety stock is defined as days of coverage times the forecast. A Control Engineering Perspective. Smoothing Supply Chain Dynamics. International Journal of Production Economics78, pp. When a simulation is ran using historic demand from the yearwe can observe some dynamics resulting from the decision making structure used by the managers and in addition of uncertain demand.

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Daniela Pertuz

This paper illustrate not only an innovative form to study the Bullwhip Effect nor only a different way to model supply chains using System Dynamics, but also it establishes a relationship between information structures, decisions rules, and demand distortion in supply chains.

Under this scenario we have reduced the delivery time from suppliers to one week. I believe that we never follow them How much do I require for every product for the next week based on my forecast and stock position?

Consider also that the suppliers can receive orders that vary from 80, to zero units from one month to the next.

… more than classic ‘beer game’.

Order policies are based on experience, operational strategy and information availability. The designs are provided from the corporate headquarters, we then forward them to our label suppliers along with an initial purchase order University of Manchester, UK.

In figure 9in relation to production orders, we can see a perfect execution of production orders with the exception of week In particular, the volume growth in Russia, China, Brazil and Thailand contributed to advances in market share.

The objective of supply chain dynamics problems is to minimize operational costs derived from those distortions and amplifications by improving managers order policies.

European Journal of Operational Research, 3, pp. My main problems with Logistics are that they never give me the production programme! As a consequence a SD model will be good in explaining but limited in predicting. Given the time delay and the time horizon, he produces oscillations in purchase orders, and consequently oscillations in inventories even when the safety stock is constant.

The bullwhip effect can drive wrong decisions when the production or transport capacity is defined. 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.

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In our model we latigp see that the warehouse for raw materials needs a capacity of 90, units, and even more than that for finished goods.

The model lays emphasis on the modelling dd policies of the supply chain managers that may be based on their own experience or knowledge. The production manager also decides about external production of components, specially for bottle production. Suppose that we implement a purchase policy for four seasons, that is, for each season we will define a constant volume of weekly purchases.

We have shown that is possible to build such a model and to capture with relative simplicity but high degree of abstraction the cqdena of a Supply Chain. At this time the input variable is reproduced exactly. Figure 5 shows the model diagram for the Pepsi ml.

Extensions of the flagship Pepsi trademark helped to drive growth in a variety of local markets. Scenarios included sn in forecast policies and purchase orders. The model shows the main aggregated behaviour of inventories, differences between plan and execution and the resulting service level. An optimal policy will manage an equilibrium point where the variation of order quantities will be economical and equivalent to variations in inventories. We finally agree that forecasting was going to be again a responsibility of production, but under the assessment of the sales department If during a given week demand exceeds inventory on hand, the supplier manager only serves as much as possible, and does not consider the shortage for later.

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