Recently, firms have begun to handle the design, manufacturing, and maintenance of capital goods through a consolidated mechanism called integrated product-service system. This new paradigm enables deliver high-reliability products while lowering ownership cost. Hence, holistic optimization models must be proposed for jointly allocating reliability, maintenance, spare parts inventory across ent...

With the huge global and wide range of attention placed upon quality, promoting and optimize the reliability of the products during the design process has turned out to be a high priority. In this study, the researcher have adopted one of the existing models in the reliability science and propose a bi-objective model for redundancy allocation in the series-parallel systems in accordance with th...

Advances in technology scaling increasingly make Network-on-Chips (NoCs) more susceptible to failures that cause various reliability challenges. With increasing area occupied by different on-chip memories, strategies for maintaining faulttolerance of distributed on-chip memories become a major design challenge. We propose a system-level design methodology for scalable fault-tolerance of distrib...

Non-volatile memories are increasingly important for big-data storage. However, their long-term data reliability has significant challenges. This work studies how to use the natural redundancy in data for error correction. The natural redundancy can be combined with error-correcting codes to effectively improve data reliability. This work studies several aspects of natural redundancy: effective...

This paper provides a formal analysis of a multi-agent task allocation problem and how variation in agent behavior in the form of response probabilities can be used to build redundancy in the multi-agent system (MAS). In problems where experience is beneficial redundancy provides an MAS with a back-up pool of actors if the primary actors are unavailable. We examine how to ensure a complete team...

In this paper, a new dynamic self-adaptive multi-objective particle swarm optimization (DSAMOPSO) method is proposed to solve binary-state multi-objective reliability redundancy allocation problems (MORAPs). A combination of penalty function and modification strategies is used to handle the constraints in the MORAPs. A dynamic self-adaptive penalty function strategy is utilized to handle the co...

Redundancy technique is known as a way to enhance the reliability and availability of non-reparable systems, but for repairable systems, another factor is getting prominent called as the number of maintenance resources. In this study, availability optimization of series-parallel systems is modelled by using Markovian process by which the number of maintenance resources is located into the obje...