Optimizing expected working time in consecutive sliding window systems

Consecutive Sliding Window Systems (CSWSs) extend the framework of Sliding Window Systems (SWSs) and are applicable in various industrial contexts, such as heating systems in the automotive sector and pelletizing plants. With increasing concerns over energy consumption driven by environmental issues, resource scarcity, and rising operational costs, this paper presents a bi-objective model designed to minimize energy expenditures while maximizing system reliability. We employ a probabilistic approach to optimize the Expected Working Time of the system across different redundancy strategies. Our results demonstrate that the strategic implementation of redundancy not only reduces energy consumption and operational costs but also ensures that system reliability is maintained at satisfactory levels.