2003
DOI: 10.1080/07408170304399
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On the Relation Between the Benefits of Risk Pooling and the Variability of Demand

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Cited by 73 publications
(37 citation statements)
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“…The results on how demand variation affects inventory efficiencies are mixed. Gerchak and He (2003) and Berman et al (2011) show conditions under which inventory cost savings may increase or decrease with demand variation. Cai and Du (2009) and Yang and Schrage (2009) provide an extensive review of studies on inventory pooling.…”
Section: Introductionmentioning
confidence: 99%
“…The results on how demand variation affects inventory efficiencies are mixed. Gerchak and He (2003) and Berman et al (2011) show conditions under which inventory cost savings may increase or decrease with demand variation. Cai and Du (2009) and Yang and Schrage (2009) provide an extensive review of studies on inventory pooling.…”
Section: Introductionmentioning
confidence: 99%
“…Since the publication of the seminal paper by Eppen (1979), inventory pooling has been an important theme in the operations management literature. An extensive body of work, recent reviews of which can be found in Alfaro and Corbett (2003) and Gerchak and He (2003), has documented the costs and benefits of pooling in a variety of settings. This literature has largely focused on the analysis of singleperiod problems or problems with multiple periods but with exogenous lead times.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, it is beneficial even if we choose to use the sum of the individual inventories (rather than the optimal pooled amount) (e.g., Eppen, 1979;Chen and Lin, 1989;Cherikh, 2000;Gerchak and He, 2003;Cai and Du, 2009). With convex costs, however, the situation is not clear.…”
Section: Pooled Inventorymentioning
confidence: 88%
“…To generate analytical insights, we provide examples with uniform and exponential demand, and quadratic, cubic and exponential cost functions. We then analyse inventory pooling (e.g., Eppen, 1979;Chen and Lin, 1989;Cherikh, 2000;Gerchak and He, 2003;Sobel 2008;Yang and Schrage, 2009;Cai and Du, 2009) with nonlinear production costs. Inventory pooling, whether physical or virtual, reduces effective demand variability, and thus reduces (linear) expected costs, provided that transshipment is not too expensive.…”
Section: Introductionmentioning
confidence: 99%