Advances in Operations Research for Logistic and Operations Management of Supply Chain Management

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".

Deadline for manuscript submissions: 12 March 2026 | Viewed by 410

Special Issue Editor


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Guest Editor
Department of Accounting and Finance, Faculty of Business and Management, Universidad del Valle, Cali 760001, Colombia
Interests: vehicle routing problem; logistics; supply chain optimization; financial sustainability
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Special Issue Information

Dear Colleagues,

A supply chain considers different echelons, ranging from suppliers of raw materials, carriers, depots, small suppliers, manufacturers or producers, distribution centers, intermediaries, and end customers—all of which include advanced operations research techniques for solving different strategic, tactical, and operational aspects of the supply chain. These optimization techniques include exact, heuristic, and metaheuristic approaches that consider linear and non-linear supply chain problems. These tools seek to establish viable supply chains, including sustainable aspects, resilience robustness, and agility issues, by considering modern technology aspects based on big data. Viability is the supply chain's ability to survive disruptions due to multiple factors, including environmental, social, and economic aspects. Different works with the triple-bottom line aligned with economic, social, and environmental issues, such as those mentioned in the Sustainable Development Goals (SDG), considering the sustainable aspects of the supply chain. Resilience and robustness are faced with the property of chain recovery due to failures related to disruptions. Finally, agility is the supply chain characteristic that includes technological issues for the recovery of the entire network. All of these aspects for different levels are solved under the framework of the present Special Issue.  

This Special Issue aims to collate original research papers that offer the latest and different advanced operations research techniques aimed toward the development and application of different levels of supply chain management and logistics in a broad range of fields.

Prof. Dr. John Willmer Escobar
Guest Editor

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Keywords

  • heuristic and metaheuristic approaches for supply chain management and logistics
  • possibilistic approaches for supply chain management and logistics
  • viability of supply chain management
  • supply chain optimization and logistics management
  • robust approaches for supply chain management
  • resilient supply chain optimization
  • sustainable supply chains
  • green supply chains
  • agility supply chains in supply chain management
  • operations management in supply chains
  • sustainable vehicle routing problems
  • social aspects for vehicle routing problems
  • economic aspects of vehicle routing problems
  • resilient, robust, and stochastic vehicle routing problems

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Published Papers (1 paper)

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31 pages, 6941 KiB  
Article
A Heuristic Approach for Last-Mile Delivery with Consistent Considerations and Minimum Service for a Supply Chain
by Esteban Santana Contreras, John Willmer Escobar and Rodrigo Linfati
Mathematics 2025, 13(10), 1553; https://doi.org/10.3390/math13101553 - 8 May 2025
Viewed by 196
Abstract
This paper considers the problem of consistent routing with minimum service (ConVRPms). ConVRPms aims to determine the minimum cost routes for each day of a planning horizon. In particular, the goal is to satisfy all individual demands and serve every customer via a [...] Read more.
This paper considers the problem of consistent routing with minimum service (ConVRPms). ConVRPms aims to determine the minimum cost routes for each day of a planning horizon. In particular, the goal is to satisfy all individual demands and serve every customer via a single driver, with times that do not differ by more than L time units. There is a fleet of homogeneous vehicles that start from a single depot. In this paper, a heuristic algorithm for ConVRPms is proposed. The algorithm is based on classical constructive heuristics and the tabu search metaheuristic. The proposed algorithm has been tested on benchmark instances from the literature. The experimental results show that the proposed approach produces high-quality solutions within computing times considerably less than those observed with CPLEX. The proposed algorithm can optimally solve instances with 20 customers and a planning horizon of three days, producing more economical solutions in some of the larger instances and those requiring hourly consistency (L=1 h). Full article
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