Browsing by Author "Lu Q."
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Book Part Citation - Scopus: 2An Empirical Investigation of Swift Trust in Humanitarian Logistics Operations [2017](Palgrave Macmillan, 2017) Lu Q.; Goh M.; De Souza R.[No abstract available]Conference Object Citation - Scopus: 1Improving Inventory Management in Hospital's Central Warehouse for Consumable Medical Supplies(Curran Associates Inc., 2017) Akcay A.K.; Lu Q.Facing the rising healthcare costs globally, implementing effective inventory management is one powerful solution to maintain the service level while at the same time control the cost. We thus focus on the inventory management of consumable medical supplies, a key component of healthcare supply chain, with the objective to minimize the total inventory costs. We choose the central warehouse of a large hospital in Turkey as our research object. Employing continuous review policy with lot size-reorder point under fixed penalty cost, we manage to find the optimal ordering amounts for our sample under non-normal distributed demands. Comparing to the current inventory policy used in the hospital, our model is able to reduce the inventory cost significantly under similar service levels. The study shows great potential in employing operation management techniques in the inventory management of hospital warehouses.Conference Object Swift Trust in Humanitarian Logistics Operations: an Ongoing Work(Universite de Lorraine, 2015) Lu Q.; Goh M.; De Souza R.Trust is essential for any teams working together. In humanitarian logistics operations, relief organizations often have to work collaboratively in emergent response groups or hastily formed networks. Trust in such a context, called "swift trust" in the literature, is an important but less explored topic. This paper attempts to fill the research gap first by developing a testable research framework for empirical investigation. The framework incorporates various factors affecting the forming of swift trust as well as its impact on team coordination and effectiveness. We further conduct an empirical examination among humanitarian players in Southeast Asia to test the research framework. While the empirical analysis is still ongoing, findings so far have already enriched our understanding on swift trust in relief networks, which may in turn improve humanitarian logistics operations in rapid onset disasters.

