Given a directed graph with capacities and blocker costs associated with its arcs, we study the maximum flow blocker problem (MFBP) which asks to find a minimum-cost subset of arcs to be removed from the graph in such a way that the remaining maximum-flow value does not exceed a given threshold....

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...

The smart workshop is a powerful tool for manufacturing companies to reduce waste and improve production efficiency through real-time data analysis for self-organized production. Automated Guided Vehicles (AGVs) have been widely used for material handling in smart workshop due to their high...

In recent years, patient unpunctuality has become a common problem for mental clinics. The unpunctuality rate has a substantial impact on several quality metrics, including the usage of resources and patient waiting times. Thus, the primary aim of this study is to examine the effectiveness of...

Distributed manufacturing has been an important trend in the industrial field, in which the production cost can be reduced through the cooperation among factories. In the real production, the random job arrivals are regular for the enterprises with daily delivered production tasks. In the paper,...

The article proposes an approach for modeling and solving the air cargo transportation, loading, and phase-based maintenance scheduling problems in an integrated fashion. It describes the demand channel routing strategy to meet the earliest pickup and delivery requirements in emergency...

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...

To improve the efficiency of automatic stacking crane (ASC) and automated guided vehicle (AGV) scheduling in synchronized import and export mode at automated container terminal (ACT), with the objective of minimizing the maximum ASC completion time and AGV wait time, a twin ASCs and AGV...

In the era of Industry 4.0, order scheduling is a crucial link in the production of manufacturing enterprises. In view of order scheduling in manufacturing enterprises, a finite horizon MDP (Markov decision process) model is proposed in this work based on two sets of equipment and three types of...