Abstract
Optimization of allocation of fire safety resources when a fire breaks out in a city, to protect life and property and minimize the cost, has become an important issue. The problem of optimizing the allocation of resources in the event of a fire is solved by adoption of mathematical modeling integer programming methods. The mathematical model is then solved by LINGO software. In the next step, we perform a sensitivity analysis to validate the flexibility of the model structure. Finally, feasibility of the model is verified by further adding the budget constraints.
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Zheng, R. (2018). An Optimal Allocation Scheme for City Fire Resources Based on Integer Programming. In: Li, X., Xu, X. (eds) Proceedings of the Fifth International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-10-7817-0_11
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DOI: https://doi.org/10.1007/978-981-10-7817-0_11
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