Multi-objective capacitated location-routing problems with stochastic demands and time windows with applications to household solid waste management

Huizhen Zhang (), Kun Zhang (), David Rios Insua () and Mitsuo Gen ()
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Huizhen Zhang: University of Shanghai for Science and Technology, School of Management
Kun Zhang: Shanghai University of Finance & Economics, School of Information Management & Engineering
David Rios Insua: ICMAT-CSIC Spain, Institute of Mathematical Sciences
Mitsuo Gen: Tokyo University of Science, Research Institute for Science & Technology

Fuzzy Optimization and Decision Making, 2025, vol. 24, issue 4, No 7, 775 pages

Abstract: Abstract This paper proposes a multi-objective capacitated location-routing problem with stochastic demands and time windows applicable in household waste logistics management. The problem involves two interrelated decisions: locating waste transfer stations and routing vehicles through transfer stations and collection points. A solution approach Query based on a squirrel search algorithm with path-relinking, randomized local search, stochastic simulation and non-dominated sorting is introduced to solve the problem. The effects of a vehicle preference index and trapezoidal time windows over total cost and satisfaction are examined through numerical experiments. The approach is tested on benchmark instances and compared with other methods, showing that our algorithm is effective and efficient in finding satisfactory solutions within a reasonable computational time. A real case study is presented to demonstrate the applicability and usefulness of the proposed model and solution method.

Keywords: Multi-objective capacitated location-routing problem; Stochastic demands; Trapezoidal time windows; Squirrel search algorithm; Household solid waste management (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10700-025-09465-x

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