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Inventory Control for a Joint Replenishment Problem with Stochastic Demand

Bassem Roushdy; Nahed Sobhy; Abdelrhim Abdelhamid; Ahmed Mahmoud

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Bassem Roushdy</dc:creator>
  <dc:creator>Nahed Sobhy</dc:creator>
  <dc:creator>Abdelrhim Abdelhamid</dc:creator>
  <dc:creator>Ahmed Mahmoud</dc:creator>
  <dc:description>Most papers model Joint Replenishment Problem
(JRP) as a (kT,S) where kT is a multiple value for a common review
period T,and S is a predefined order up to level. In general the (T,S)
policy is characterized by a long out of control period which requires
a large amount of safety stock compared to the (R,Q) policy. In this
paper a probabilistic model is built where an item, call it item(i),
with the shortest order time between interval (T)is modeled under
(R,Q) policy and its inventory is continuously reviewed, while the
rest of items (j) are periodically reviewed at a definite time
corresponding to item</dc:description>
  <dc:source>International Journal of Mechanical, Industrial and Aerospace Sciences 4.0(4)</dc:source>
  <dc:title>Inventory Control for a Joint Replenishment Problem with Stochastic Demand</dc:title>
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