Transportation Research Part E: Logistics and Transportation Review
Role of inventory and transportation costs in determining the optimal degree of centralization
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Cited by (40)
Integrated transportation – inventory models: A review
2019, Operations Research PerspectivesCitation Excerpt :Rong et al. [44] tackled this issue by including food degradation, a function of temperature control, as a constraint in a mixed integer programming ITI model to minimize the total transportation, inventory and food waste costs. Another niche topic was studied by Das and Tyagi's [45] through inventory centralization. The authors examined a single product with a variety of differing inventory and transportation cost structures and then developed an optimization model that determines the ideal degree of inventory centralization for each scenario.
A comparison between just-in-time and economic order quantity models with carbon emissions
2018, Journal of Cleaner ProductionCitation Excerpt :Inventory and transportation are two functional elements of supply chain that antinomy exists between them. It means that if optimizing (reducing) inventory cost, there will be a loss (increasing) in transportation cost, and vice versa (Das and Tyagi, 1997; Nozick and Tumquist, 2001). The essence of JIT and EOQ modes is to balance the tradeoff between inventory and transportation.
An inventory pooling model for spare units of critical systems that serve multi-companies
2015, Transportation Research Part E: Logistics and Transportation ReviewCitation Excerpt :They compared a decentralized model with a centralized model and deduced some properties that, if met, showed that costs would be reduced if the operations share resources. Das and Tyagi (1997) presented a formal analysis of the inventory centralization decision on determining the optimal degree of centralization as a tradeoff between inventory and transportation costs. The optimal degree of centralization for minimum costs thus depends on the relative magnitudes of transportation vs. inventory costs.
Constrained flow control in storage networks: Capacity maximization and balancing
2013, AutomaticaCitation Excerpt :In distributed energy storage, energy is transmitted passively or actively between storage devices (Andrea, 2010). For inventory management, trucks are used to move goods between warehouses (Archibald et al., 1997; Das & Tyagi, 1997; Hu et al., 2005). In cloud computing data is transfer between storage devices over a network (Brinkmann et al., 2000; Uchida et al., 2006; Zhao et al., 2008).
Consolidation effects: Whether and how inventories should be pooled
2009, Transportation Research Part E: Logistics and Transportation ReviewRegression approximation for a partially centralized inventory system considering transportation costs
2009, Computers and Industrial Engineering