Future reconfigurable manufacturing systems (RMSs) can dynamically modify the system structures to achieve personalization, customization, and consumer-maker co-creation. The advanced Internet of Things (IoT) integrating deep learning intelligent maintenance is critical for ensuring operation RMS. On one hand, a multi-head neural network developed under variability individual machine degradations deriving machine-level prognostics. It learns degradation features with superior generalization...

Increasing machine investments and expensive operations maintenance (O&M) costs have made manufacturing system leasing service outsourcing gaining a momentum. Leading original equipment manufacturers, as lessors, focused on providing cost-effective schemes to serve their client-enterprises (lessees) all over the world. However, individual degradations, complex structures, global network layout bring challenges for real-time decision-making. This article comprehensively develops...

With the popularization of service-oriented manufacturing, current operation & maintenance (O&M) has shifted from traditional in-house to proactive outsourcing maintenance. It is paramount for an original equipment manufacturer (OEM) provide timely and cost-effective schemes geographically distributed customer enterprises. Interestingly, transportation theories could be combined facilitate multi-location O&M management. In this paper, a transportation-oriented cross-regional opportunistic...

Actually, it is difficult to obtain a large number of sample data due equipment failure, and small may also be missing. This paper proposes novel missing filling method based on support vector regression (SVR) genetic algorithm (GA) improve health diagnosis effect. First, the used optimize regression, new GA‐SVR can proposed. The model trained by using other variable which belongs, single‐variable prediction obtained. correlation analysis reconstruct training set, variables related...

With the increasing attention paid to sustainable development around world, improving energy efficiency and applying effective means of saving have gradually received worldwide attention. As largest consumers, manufacturing industries are also inevitably facing pressures on optimization evolution from both governments competitors. The rational consumption in industrial operation activities can significantly improve sustainability level company. Among these enterprise activities, maintenance...

With the product-service requirement of modern production enterprises, service-oriented manufacturing and its corresponding operations maintenance have gained growing attention. Advances in sensor technology wireless communication, promoting lessors to propose new strategies for intelligent decision-making geographically distributed enterprises. In this article, we present a comprehensive strategy solving grouping technician routing problem multi-location multi-unit systems. Based on...

Nowadays, with the wide adoption of Industry 4.0 and service-oriented manufacturing, leased manufacturing systems are facing new informatics challenges in efficiency, scalability, profitability operation maintenance. On one hand, centralized cloud needs to serve multiple high-value machines located remotely far from lessor real time. other massive field data will be generated locally through proliferated Internet Things (IoT) devices. The traditional frameworks limited by computational...

Abstract Simulation on manufacturing process of production line is essential to reduce the cost and time layout design. Traditional simulation methods either have low fidelity or depend actual equipment external tools. Digital Twin a core element in Industry 4.0 viewed as next generation simulation. However, applying simulate inadequately researched. To assess lines advance, this paper proposes Manufacturing Integrated Platform (DTMSIP) embedded Cyber-Physical System (CPS). Powered by...

With the development of product-service paradigm, a manufacturing system consists degradation machines and buffers between them begins to be leased in practical industry. The leasing profit opportunity (LPO) policy is thus extended optimize preventive maintenance (PM) actions for this type two-machine one-buffer system. During LPO procedure, each machine's PM time point dynamically scheduled by minimizing cost rate. Moreover, one can create other because relationship series structure. Taking...

In view of the joint optimization problem preventive maintenance and production scheduling for modern systems under time-of-use tariffs, a two-stage decision-making policy is proposed to achieve peak-shifting reduction power. first stage, dynamic schedule sequentially obtained based on availability machine. second multi-workpiece processing further carried out. The power consumption cost delay penalty electricity tariff are considered, mixed integer programming model established balance...

Nowadays, with the rapidly growing size of random orders and machine scales, cloud manufacturing (CMfg) is suffering from complex difficulties in scheduling enormous production services real time. Especially when coupled preventive maintenance (PM) for massive distributed machines, most current methods fail to promise agility effectiveness simultaneously under this service-oriented paradigm. Therefore, article aims propose a collaborative algorithm support real-time opportunistic (OM) highly...