Toward a coordination of inventory and distribution schedules for blood in disasters
Mohammad Reza Ghatreh Samani and
Socio-Economic Planning Sciences, 2020, vol. 72, issue C
The need for efficient blood supply is of more significance in the event of disasters, when there is a lack of coordination between distribution and inventory management. The recent earthquake in Kermanshah province in Iran is among such cases that confirmed the need for coordinating such schedules. In this respect, a two-stage stochastic programming (SP) approach is presented for planning supply of blood after disasters that can assist in inventory decisions under hybrid uncertainty, minimizing the shortage and wastages. The uncertainty stems from imprecise parameters and scenario variability, and a robust-fuzzy-stochastic programming (RFSP) approach is devised to hedge against the uncertainty. The perishability of blood, the substitutability of blood groups, and the age-based characteristic of blood are taken into account to make the model more reliable. The compromise programming is applied to solve the multi-objective model. The results illustrate that the RFSP model can make a reasonable trade-off between mean value, feasibility robustness, and optimality robustness, which results in a robust and reliable solution under disastrous conditions.
Keywords: Blood supply chain; Disaster; Multi-objective optimization; Uncertainty; Robust fuzzy stochastic programming (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:72:y:2020:i:c:s0038012119306263
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