To solve the technician scheduling problem, this paper establishes a technician scheduling model considering the task release time, and designs a branch delimitation algorithm to solve the problem accurately by fully utilizing each technician's skills and allocating limited human resources to...

Concerning the essence of risk, a joint replenishment and delivery scheduling problem with fuzzy cost-related parameters and random number of imperfect quality items is developed to make it suitable for the inherent uncertainties of procurement-shipment process. The mathematical modeling-based...

Effective scheduling of twin automated stacking cranes (ASCs) in automated storage yard is critical to maximize operational efficiency. While Deep Reinforcement Learning (DRL) is promising in solving NP-hard scheduling problems, twin ASCs scheduling is challenging due to its unique properties...

It is important for companies to select the right suppliers to deal with in order to avoid any disruptions. Considerable research has been conducted to find the solution for this problem. Previous attempts were made to account for uncertainties and disruptions in decision-making in order to rank...

The min--max edge crossing problem (MMECP) is a challenging and important application problem arising in integrated-circuit design, information visualization, and software engineering. With edges drawn as straight lines in accordance with the hierarchical graph drawing standard, the goal is to...

Online 2D irregular bin packing problem (2D-OIBPP) with uncertain demands is a critical challenge in the manufacturing and assembly industry, where a robot is required to place incoming objects within a limited time to maximize overall packing density. The high demands on real-time and...

This study addresses the electric vehicle routing problem with time windows and simultaneous pickup and deliveries in the context of sustainable city logistics. Time windows and simultaneous pickup and delivery constraints are two important real-life constraints to effectively organize freight...

Despite the various industrial applications integrating inbound transportation, production, and inventory, only single-product studies have been conducted addressing the related production and inventory routing problems simultaneously. To meet the optimization requirements of many-to-one...

The K-nearest neighbour (KNN) algorithm is one of the well-known classifiers applied in various research areas. The input requirement includes a set of variables, the choice of the neighbourhood size (K) and the distance metric which are usually selected based on data characteristics. The first...