Industry 4.0 is a new paradigm in the manufacturing world and it has deeply changed Human–machine interaction. This paper focus on nature of this interaction, which made possible thanks to Internet Things (IoT), Cyber-Physical System (CPS). These key technologies are studied related standard Deming cycle, order underline importance The Fourth Industrial Revolution involves several changes workforce's features. In paper, perspective based centrality humans given era. human factor will be...

The Analytic Hierarchy Process (AHP) is a methodology, based on both mathematical and psychological approaches, exploited to analyze solve complex problems, in order make the best decision. AHP also widely employed for evaluation of healthcare systems. It works by splitting decision problem into hierarchy more easily-comprehended sub-problems, each which can be independently analyzed. Starting from these assumptions, our work aims implement dynamic framework able overcome static nature...

Health technology assessments (HTAs) are often difficult to conduct because of the decisive procedures HTA algorithm, which complex and not easy apply. Thus, their use is always convenient or possible for assessment technical requests requiring a multidisciplinary approach. This paper aims address this issue through multi-criteria analysis focusing on analytic hierarchy process (AHP). methodology allows decision maker analyse evaluate different alternatives monitor impact actors during...

In light of the Fourth Industrial Revolution, concepts flexibility and re-configurability manufacturing systems evolution their control architectures are becoming increasingly important. The development Cyber Physical Systems (CPS) integrated capabilities have paved way to transition from centralized heterarchical (decentralized) architectures. this paper, a comparison between in virtual learning environment is presented. assembly station materials handling system modern been conceptualized...

Data Centres serve as the foundation for digital technologies in energy sector, enabling advanced analytics, optimization, and automation. However, their rapid growth can exert a substantial influence on environment due to consumption, water utilization, production of electronic waste. This research begins with an overview setup operations data centres, highlighting key components infrastructure, emphasizing crucial role managing resources driving sector’s technologies. Building upon this...

Automated Guided Vehicles (AGVs) are self-driving vehicles used for transporting goods and materials throughout different areas, such as shipping receiving storage facilities, workstations. The popularity of AGVs has grown rapidly due to their many benefits, including flexibility in processes, efficient use space, product safety, computer integration control. design management AGV-based systems present various tactical decisions, fleet sizing flow path design, well operational decisions...

The ability to realize customized products, in particular for engineering-to-order companies, is a key factor order be competitive modern market without incurring any additional cost and respecting customer lead time.In this ever-changing environment the layout optimization fundamental issue requirement, hence development of virtual layout, according Digital Factory concepts, can very useful identify solve potential problems during planning phase, before it.The main aim paper represented by...

This research establishes the relationship(s) that shared leadership has with two performance metrics in Six Sigma healthcare teams: perceived effectiveness of a team completing assigned project deliverables and satisfying customer requirements. Another primary goal is to comprehend additional factors affecting three analyzed variables. The study found degree displayed at any phase dependent on complexity change management complexity. Throughout this research, role cannot be stressed enough....

Purpose This work aims at proposing a novel Internet of Things (IoT)-based and cloud-assisted monitoring architecture for smart manufacturing systems able to evaluate their overall status detect eventual anomalies occurring into the production. A artificial intelligence (AI) based technique, identify specific anomalous event related risk classification possible intervention, is hence proposed. Design/methodology/approach The proposed solution five-layer scalable modular platform in Industry...

Maintenance of equipment is a crucial issue in almost all industrial sectors as it impacts the quality, safety, and productivity any manufacturing system. Additionally, frequent production rescheduling due to unplanned unintended interruptions can be very time consuming, especially case centrally controlled systems. Therefore, ability estimate likelihood that monitored machine will successfully complete predefined workload, taking into account both historical data from machine’s sensors...

The increasing interest in the deployment of truck and drone delivery systems leads to definition new complex vehicle routing problems. In this context, flying sidekick traveling salesman problem (FS-TSP) is first truck-and-drone defined literature. Several variants appeared last years differing operating conditions structure hybrid system. Exact heuristic solution methods have been proposed literature solve these problems effectively. However, exact can generally only small-size instances...

The opportunity offered by digital technologies to make deep rationalization in purchase of supplies is becoming indispensable competition between enterprises, considering positive effects reducing the costs companies that have adopted E-Procurement. As it has been confirmed numerous case studies, automation procedures for through e-procurement technology enables achieve a reduction (average 8-12%) total purchases. So web-based models are playing critical role within companies, especially...

This paper proposes a stock dynamic sizing optimization under the Logistic 4.0 environment. The safety is conceived to fill up demand variability, providing continuous availability. and smart factory topics are considered. It focuses on vertical integration implement flexible reconfigurable production systems using information system in order optimize material flow full-service approach. proposed methodology aims reduce occurring stock-out events through link among wear-out items rate...

Purpose The purpose of this paper is to propose an artificial intelligence-based framework support decision making in wholesale distribution, with the aim limit wholesaler out-of-stocks (OOSs) by jointly formulating price policies and forecasting retailer’s demand. Design/methodology/approach based on cascade implementation two neural networks (ANNs) connected series. first ANN used derive selling products offered wholesaler. This represents one inputs second that anticipate Both ANNs make...

Smart factories are fostered by integrating intelligent systems and ICT technologies. The role they play is crucial in the spread of Industry 4.0 economic growth developed countries. can be empowered using several sensors aimed at making them more "smart." Unfortunately, work accidents still very common resulting human losses permanent injuries. This makes it urgent key to implementing security safety measures also context a smart factory. In this article, novel framework for supporting...

In a safety management system (SMS), risk plays key role for the prevention of accidents. This study aims to propose model by using dynamics approach applied Bhopal incident. The proposed in this paper discusses relationships among main causes that have contributed occurrence incident studied, such as broken devices, inadequate personnel experience, operator decisions, manager production strategy, policy decision, deduced from relevant literature about dynamics. simulation and results...