Integrated Production Scheduling and Vehicle Routing Problem with Energy Efficient Strategies: Mathematical Formulation and Metaheuristic Algorithms

Metaheuristic Algorithms for the Optimization of Integrated Production Scheduling and Vehicle Routing Problems in Supply Chains

“…Constraint (19) sets the departure time of each vehicle from the depot, the waiting time, and the service time in the depot to zero. Constraint (20) ensures that the arrival time of vehicle k at customer j is less than the predicted arrival time at that node, while constraint (21) ensures that the sum of the arrival time and waiting time for each vehicle is greater than or equal to the earliest allowed arrival time at customer i and less than or equal to the latest allowed arrival time at customer i.…”

“…The GA was initially introduced by the well-known scientist John Holland and his collaborators in the 1960s and 1970s. In this paper, a GA is employed to solve the job scheduling and routing problem in a supply chain, where the first phase involves planning and scheduling tasks, and the second phase deals with delivering products precisely on time through vehicle routing [21]. The fundamental modification and complexity of the presented problem lie in integrating these two phases into a single supply chain system.…”