Epidemic-Logistics Modeling: A New Perspective on Operations Research 2019
DOI: 10.1007/978-981-13-9353-2_10
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Logistics Planning for Hospital Pharmacy Trusteeship Under a Hybrid of Uncertainties

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Cited by 3 publications
(3 citation statements)
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“…Nowadays, portable medical equipment is a necessary requirement in unexpected events (Suwantarat et al , 2017). Medical equipment and medicine logistics can be considered as an effective solution in these situations which is defined as planning and implementation of the healthcare productions and services as well as presenting them (Kunz and Gold, 2017; Liu et al , 2017). Also, agility as an accelerator capability is related to distribution of medical equipment and medicine.…”
Section: Theoretical Background: a Summary Of Reviewmentioning
confidence: 99%
“…Nowadays, portable medical equipment is a necessary requirement in unexpected events (Suwantarat et al , 2017). Medical equipment and medicine logistics can be considered as an effective solution in these situations which is defined as planning and implementation of the healthcare productions and services as well as presenting them (Kunz and Gold, 2017; Liu et al , 2017). Also, agility as an accelerator capability is related to distribution of medical equipment and medicine.…”
Section: Theoretical Background: a Summary Of Reviewmentioning
confidence: 99%
“…Medicine logistics planning is a major part of operations management in a hospital that is responsible for the procurement of medicine, setting order quantities and order times, scheduling shipping, the in-house distribution of medicine, and determining the safety stock and service level for the medicine (Liu et al, 2017) In general, the fields of intervention of hospital logistics are classified according to three temporal levels (Ballou, 1992).…”
Section: Modelling and Simulationmentioning
confidence: 99%
“…Wang et al construct a nonlinear integer open location routing model for relief distribution problem and tested their model in real case [13]. Liu et al work on both deterministic and stochastic medicine logistics planning models by using a time-space network approach [14]. Singh et al propose a big-data analytics-based approach that considers Twitter data for the identification of supply chain management issues in food industries [15].…”
Section: Introduction and Related Literaturementioning
confidence: 99%