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Customer Information Driven After Sales Service ... - RePub

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2. <strong>After</strong> <strong>Sales</strong> <strong>Service</strong><br />

on-hand inventory.<br />

We now discuss execution management practices in spare parts logistics. We should<br />

highlight the interaction between inventory planning and execution management. The<br />

interaction is due to the fact that for any inventory planning setting, the nature of<br />

the execution rule or allocation policy is an exogenous input. The most widely used<br />

allocation policy in supply chain execution is a FIFO policy, where the stock units at any<br />

stock location are allocated to the customers on a FIFO basis. (Recall the distribution<br />

network structures 1, 2, and 3 in Figure 2.3.) In these distribution networks, any arriving<br />

customer, regardless of the type of service contract it possesses or the criticality of its<br />

demand, is served from the nearest FSL. If that FSL is out of stock, then the customer’s<br />

demand is lost or backordered until the next replenishment arrival at that FSL. In the<br />

above inventory planning solutions, the execution rule is limited to FIFO. Advanced<br />

execution rules accommodating lateral transshipments or customer based heterogeneity<br />

are not considered.<br />

In this section, we review the academic literature that attempts to accommodate more<br />

advanced allocation rules during execution management. Similar to the earlier sections,<br />

we will restrict our discussion to the relevant research that studies supply chain execution<br />

management in network settings. It should be noted that typically two approaches are<br />

utilized to accommodate advanced execution rules in the literature. The first approach is<br />

similar to the FIFO approach in inventory planning, where the advanced execution policy<br />

(other than FIFO) is fixed and used in subsequent inventory planning. In other words,<br />

the allocation rule is studied in conjunction with the inventory planning policy. Examples<br />

of such a situation are the cases in which lateral transshipments are accommodated (or<br />

not) in conjunction with rationing that is static (or dynamic). The second approach<br />

is different in that an attempt is made to delineate inventory planning and execution.<br />

A dynamic rationing rule is utilized in such situations for execution management. The<br />

inventory planning is based on the long term aggregation of the execution policy behavior.<br />

One may argue that the second approach is perhaps better suited to exploit short term<br />

demand fluctuations. In general, the allocation rules for execution management can be<br />

subdivided into four categories.<br />

• No Lateral Transshipments with Rationing. Such situations exist in hierarchical<br />

distribution networks where there are no lateral transshipments among the downstream<br />

FSLs. In addition to the replenishment of the downstream locations, the<br />

38

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