“…The most closely related papers to our work are Zhou et al (2007) and Kiesmuller et al (2011). Zhou et al (2007) propose a two-parameter heuristic policy for a stochastic inventory system with MOQ requirement and demonstrate that the performance of this policy is close to the optimal policy except for a few cases when the coefficient of the demand distribution is very small.…”
Section: Literature Reviewmentioning
confidence: 78%
“…Zhou et al (2007) propose a two-parameter heuristic policy for a stochastic inventory system with MOQ requirement and demonstrate that the performance of this policy is close to the optimal policy except for a few cases when the coefficient of the demand distribution is very small. Kiesmuller et al (2011) propose a simpler policy, which has only one parameter S. This policy works as follows: no order is placed when the inventory position is not less than the level S; otherwise an order is placed to raise the inventory to S. However, if this order is smaller than the MOQ, the order quantity is increased to the MOQ. The authors show the effectiveness of this policy and develop simple newsvendor inequalities for near-optimal policy parameters.…”
“…The most closely related papers to our work are Zhou et al (2007) and Kiesmuller et al (2011). Zhou et al (2007) propose a two-parameter heuristic policy for a stochastic inventory system with MOQ requirement and demonstrate that the performance of this policy is close to the optimal policy except for a few cases when the coefficient of the demand distribution is very small.…”
Section: Literature Reviewmentioning
confidence: 78%
“…Zhou et al (2007) propose a two-parameter heuristic policy for a stochastic inventory system with MOQ requirement and demonstrate that the performance of this policy is close to the optimal policy except for a few cases when the coefficient of the demand distribution is very small. Kiesmuller et al (2011) propose a simpler policy, which has only one parameter S. This policy works as follows: no order is placed when the inventory position is not less than the level S; otherwise an order is placed to raise the inventory to S. However, if this order is smaller than the MOQ, the order quantity is increased to the MOQ. The authors show the effectiveness of this policy and develop simple newsvendor inequalities for near-optimal policy parameters.…”
“…After scanning the literature, we determined that there is a number of studies performed to analyse (s, S) policies. For example, the optimality of (s, S) policy is proven assuming linear holding and stockout costs, and fixed ordering costs [1]. Hollier et al [2] formed (s, S) policy using mathematical model where products experience lumpy demand patterns and cutoff transaction size is incorporated into the policy.…”
The need to explicitly select the best review model in inventory control system is greater than ever because managing and controlling inventories are difficult under intense competition. In this study, three important questions are answered in inventory control system: which review model (periodic or continuous) should be used; which objective function of review model should be used to increase competitiveness of the supply chain; how to find the optimal values of initial inventory, reorder point, and order-up-to level for each Distribution Centre (DC) and each Supplier. We proposed an Optimization via Simulation (OvS) approach to determine the best inventory control system with supplier selection and to obtain a remarkable amount of saving while increasing the competitive edge in a fully stochastic supply chain environment. According to the results, total supply chain cost can be improved at least 22 % and at most 66 % on average with proposed continuous review model.
“…A few examples of such studies include: a single item inventory system with a non-stationary demand process in a single stage production inventory system (Graves, 1999), a periodic review stochastic inventory system (Chan and Song, 2003), determination of lot size and order level for a single item, single stage inventory model with a deterministic time-dependent demand (Dave, 1989), a single item and single stage inventory system with stochastic demand in a periodic review where the system must order either none, or at least as much, as a minimum order quantity (Kiesmüller, De Kok, and Dabia, 2011) and to analyse three inventory models; a replenishment batching policy, a production batching policy, and an integrated replenishment/production batching policy (Rau and OuYang, 2007).…”
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