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Research on NSGA-III in Location-routing-inventory problem of pharmaceutical logistics intermodal network

Published: 01 January 2021 Publication History

Abstract

Under the background of the new medical reform, the pharmaceutical industry is in constant transformation and upgrading, and the establishment of a rational and efficient pharmaceutical logistics system is imminent. Carbon emission, cost and time are set as the target to construct the model of location-routing-inventory optimization of highway, rail and air transport hubs with capacity limits. Then the warehouse of pharmaceutical logistics hub is selected, and the distribution path of pharmaceutical logistics and the inventory strategy are planned to realize the scientific decision of the system. The NSGA-III algorithm is used to solve the problem. The diversity of the population is maintained by the well-distributed reference points, and the optimal solution set of nondominant Pareto is obtained. Spacing, HRS, PR and GD are used to measure the performance of the algorithm. The example analysis shows that the number of Pareto optimal solutions solved by the algorithm is large and evenly distributed, and convergence and operation efficiency of algorithm is good. The sensitivity analysis of three kinds of freight rates shows that the influence of the freight rates on the objective function value should be fully considered when making decisions. The method focuses on the problem of optimizing the layout of multi-modal transport hubs and improves the existing theories of it.

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          cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
          Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology  Volume 41, Issue 1
          2021
          2441 pages

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          IOS Press

          Netherlands

          Publication History

          Published: 01 January 2021

          Author Tags

          1. Pharmaceutical warehouse
          2. carbon emission
          3. location-routing-inventory problem
          4. NSGA-III

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