The findings demonstrate how mathematical optimization and advanced metaheuristics can be combined with problem-specific structural insights to improve solution quality and computational efficiency in production and operations research.
In this study, we present a new approach for the optimized scheduling of maintenance tasks in electric power distribution networks based on a classic optimization technique. The original mixed-integer non-linear programming model is linearized using the piecewise linearization technique, adopting a classical pseudo-dyn...
Marcelo G. Sebastiao, J. Mantovani· IEEE Access· 0 citations
Most start-ups work in a fast-paced, resource-constrained environment where efficient resource allocation can be a critical factor for success. The assignment problem (a specific type of LPP) is a well-established optimization model in operations research. It presents valuable solutions for start-ups aiming to streamli...
R. Chatare, Anupkumar Dhor, Virendra Bora· Splint International Journal...· 0 citations
This paper presents the stochastic charger location and allocation problem in last-mile delivery. The problem belongs to the class of facility location models with congestion. We formulate the problem as a mixed-integer quadratic program and develop a solution methodology that combines Lagrangian relaxation and primal...
Taner Cokyasar, J. Larson, Omer Verbas et al.· IISE Annual Conference &...· 0 citations
This study investigates the operations in automated container terminals, in which scheduling decisions need to be generated automatically. Therefore, an integrated optimization model is established considering the two-way transportation process of containers between the berth and the yard with the assignment and schedu...