This study presents a shared vehicle scheduling model designed to tackle scheduling conflicts arising from changes in orders for bulky waste collection and transportation. The model accounts for five types of interference events: alterations in the original order location, modifications to the time window, changes in waste size, the inclusion of new orders, and order cancellations. The goal of the model is to reduce variations in the frequency of collection and transportation, minimize costs, and meet the three requirements of three-dimensional loading for shared trucks, as well as satisfy user time windows. To solve this complex combinatorial optimization problem, the sparrow search algorithm is employed. Numerical studies indicate that the proposed method outperforms the genetic simulated annealing algorithm in objective function value and computational efficiency under the five interference scenarios. These results also confirm the model’s efficacy.
For the recycling of waste power batteries, a multi-depot soft-time-window vehicle routing problem model was established to minimize fixed costs, transportation costs, and time-window penalty costs. An improved genetic algorithm was designed that integrates adaptive crossover/mutation with 2-opt local search. Compared...
Li-Qun Hu, Ye Tu, En-You Lin et al.· International Conference on...· 0 citations
This paper addresses the production scheduling problem in a ship panel block workshop subject to processing time disturbances, with the aim of optimizing the workshop’s production duration under the influence of such disturbances. First, the production process of the panel block workshop is introduced. Fuzzy triangular...
Xu-Wen Jing, Peng-Cheng Qi· Journal of Physics, Conferen...· 0 citations
This study investigates the dynamic-demand green vehicle routing problem with soft time windows (DDGVRPSTW). A two-stage optimization model is developed to minimize total distribution cost, including vehicle operating cost, fixed dispatch cost, fuel consumption cost, carbon emission cost, and time window penalty cost....
Ming He, Kai-Jun Zhou, Qian Wang et al.· Electronics· 0 citations
The main objective of this study is to consider the problem of scheduling of waste collection between aisles in traditional markets with different processing times, due dates, and priority in order to develop a rule that will give better performance.
Four priority rules including Shortest Processing Time (SPT), Earlies...
Gatot Basuki Hm, S. Suhartini, Mochammad Basjir et al.· Eastern-European Journal of...· 0 citations
In-transit vehicle malfunctions during material transportation in water conservancy construction can cause delivery delays, disrupt subsequent tasks, and lead to duplicate material requisitions. To address these issues, this study develops a material transportation scheduling optimization model that explicitly incorpor...
Bo Wang, Si-Yu Jiang, Xue-Feng Pang et al.· Applied Sciences· 0 citations
This paper addresses an integrated multi-period optimization problem that coordinates yard template planning and loading/unloading scheduling for transshipment vessels with heterogeneous visiting cycles. The objective is to minimize container transportation and vessel service costs over a common planning horizon, while...
Yu Liu, Tian-Tian Wang, Hong Ma et al.· Asia-Pacific Journal of Oper...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
