2023
DOI: 10.1016/j.swevo.2023.101373
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Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing

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Cited by 9 publications
(2 citation statements)
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“…Constraint (15) allows the preservation of the vehicle flow, i.e., it ensures that vehicle k must leave customer j after serving customer j. Constraint ( 16) prevents the occurrence of cycles that do not represent a complete route. Constraint (17) defines the passage through the edge between customers i and j by vehicle k and can take a value of 0 or 1. Constraint (18) ensures that the total travel time of vehicle k on a route is less than or equal to the maximum allowed engagement time for that vehicle.…”
Section: Mathematical Formulation Of the Model For Two Phase F = F1 + F2mentioning
confidence: 99%
See 1 more Smart Citation
“…Constraint (15) allows the preservation of the vehicle flow, i.e., it ensures that vehicle k must leave customer j after serving customer j. Constraint ( 16) prevents the occurrence of cycles that do not represent a complete route. Constraint (17) defines the passage through the edge between customers i and j by vehicle k and can take a value of 0 or 1. Constraint (18) ensures that the total travel time of vehicle k on a route is less than or equal to the maximum allowed engagement time for that vehicle.…”
Section: Mathematical Formulation Of the Model For Two Phase F = F1 + F2mentioning
confidence: 99%
“…In the paper [14], the focus is on integrated supply chain management, taking into account the perishability of goods. The research in the papers [15][16][17] revolves around the observation and integration of these phases from a strategic, tactical, and operational decision-making perspective. The authors of the paper [18] present a case study that focuses on the challenges of synchronous production and distribution planning, specifically on permutation flow planning in production operations and setup time dependent on the sequence and alternative routing of vehicles in distribution.…”
Section: Introductionmentioning
confidence: 99%