Inventory service-level optimization within distribution network design problem

Miranda, Pablo A.; Garrido, Rodrigo A.

doi:10.1016/j.ijpe.2009.06.010

Cited by 68 publications

(34 citation statements)

References 24 publications

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“…Therefore, managers and designers should pay special attention in optimizing the geographical distribution of entities in each echelon to avoid unnecessary stock points and retailers, thus limiting the vulnerability of the SCN to unforeseen shocks in demand. This strategy is in line with the risk pooling effect, which states that a reduction of the number of retailers reduces the risk faced by them due to the market demand variability, thus reducing safety stocks and derived costs (Miranda and Garrido, 2009 information sharing and smoothing replenishment rules could be a vital strategy.…”

Section: ∆=mentioning

confidence: 73%

The impact of the supply chain structure on bullwhip effect

Domínguez

Cannella

Framiñán

2015

Applied Mathematical Modelling

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Section: ∆=mentioning

confidence: 73%

The impact of the supply chain structure on bullwhip effect

Domínguez

Cannella

Framiñán

2015

Applied Mathematical Modelling

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“…The solution is based on Lagrangian relaxation. In another paper, Miranda and Garrido (2009) also study the distribution network design and inventory control problem [6]. Gebennini, Gamberini and Manzini (2009) formulate a cost-based optimization model, in which there is a trade-off between the minimal inventory cost and maximal customer service level [7].…”

Section: Assortment Distribution and Inventorymentioning

confidence: 99%

Review on Assortment Problems in Retailing Supply Chain Management

Ji¹,

Liang²

2018

dtssehs

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In this paper, we are aimed at reviewing assortment problems integrating pricing strategies, inventory levels and distribution network planning in retail. Through the literature study, we present a comprehensive and updated review and put forward the future directions for assortment study. The main methodology we used is literature study. We classified related papers and reviewed them by different themes. We find that a great number of existing papers related to assortment problems mostly combine the problem of pricing decision, inventory control and distribution design. However, those papers tend to study two or three points above. In other words, there is no literature studying all points simultaneously. Given our findings, we finally propose that it is innovative and valuable to put efforts to study assortment problems combined with pricing, inventory and distribution decisions.

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“…The determination of safety stock in an inventory model is one of the key actions in management, Miranda and Garrido include both cycle and safety stock in the inventory model in [26], and the resulting model in this article has a non-linear objective function. Authors in [4] give a model for positioning safety stock in a supply chain subject to non-stationary demand, and they show how to extend their former model to find the optimal placement of safety stocks under constant time service (CST) policy.…”

Section: Performance Improvement Of Multi-echelon Supply Chainsmentioning

confidence: 99%

“…al. investigate the modeling and optimization of a two echelon supply chain system in two steps [26], a massive multi-echelon inventory model is presented by Seo [30], he introduces an order risk policy for general multi-echelon system to minimize the operation cost of the system. A really complex system is examined in [31], where it is necessary to apply some clustering for similar items, because detailed analysis -considering each item individually is impossible.…”

Section: Performance Improvement Of Multi-echelon Supply Chainsmentioning

confidence: 99%