Mario Caterino

ORCID: 0000-0003-2288-3994
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Research Areas
  • Digital Transformation in Industry
  • Manufacturing Process and Optimization
  • Sustainable Supply Chain Management
  • Ergonomics and Human Factors
  • Flexible and Reconfigurable Manufacturing Systems
  • Quality and Supply Management
  • Assembly Line Balancing Optimization
  • Additive Manufacturing and 3D Printing Technologies
  • Ergonomics and Musculoskeletal Disorders
  • Vehicle Routing Optimization Methods
  • Urban and Freight Transport Logistics
  • Advanced Manufacturing and Logistics Optimization
  • Recycling and Waste Management Techniques
  • Human-Automation Interaction and Safety
  • Occupational Health and Safety Research
  • Musculoskeletal pain and rehabilitation
  • Optimization and Packing Problems
  • Metaheuristic Optimization Algorithms Research
  • Quality and Safety in Healthcare
  • E-commerce and Technology Innovations
  • Sleep and Work-Related Fatigue
  • Life Cycle Costing Analysis
  • Robot Manipulation and Learning
  • Environmental Sustainability in Business
  • Sustainable Industrial Ecology

University of Campania "Luigi Vanvitelli"
2018-2025

University of Salerno
2023-2024

University of Birmingham
2021

The optimization of production processes has always been one the cornerstones for manufacturing companies, aimed to increase their productivity, minimizing related costs. In Industry 4.0 era, some innovative technologies, perceived as far away until a few years ago, have become reachable by everyone. massive introduction these technologies directly in factories allows interconnecting resources (machines and humans) entire chain be kept under control, thanks collection analyses real data,...

10.3390/s20010097 article EN cc-by Sensors 2019-12-23

Within the era of smart factories, concerning ergonomics related to production processes, Digital Twin (DT) is key set up novel models for monitoring performance manual work activities, which are able provide results in near real time and support decision-making process improving working conditions. This paper aims propose a methodological framework that, by implementing human DT, supports decision making regarding performances lines. A case study, carried out laboratory, presented...

10.3390/app10217758 article EN cc-by Applied Sciences 2020-11-02

In the last decade, adoption of technological tools in manufacturing industry, such as use Internet Things (IoT) and Machine Learning (ML), has led to advent industry 4.0 (I4.0). this scenario, intelligent devices can generate large volumes data about industrial machinery equipment that be used make maintenance more efficient. Prognostics Health Management (PHM) is an emerging strategy uses systems’ Condition Monitoring through IoT sensors installed on diagnose their faults or estimate...

10.1177/18479790231186848 article EN cc-by International Journal of Engineering Business Management 2023-02-01

This study investigates the impact of different reverse logistics (RL) strategies on economic and environmental performance a system within rubber flooring sector. A simulation tool was developed to replicate behavior real production system, focusing transition from linear circular processes. By considering multiple factors influencing performance, this research offers an overview sustainability various RL provides realistic es-timates for scenarios. Three key were identified evaluate each...

10.20944/preprints202502.2084.v1 preprint EN 2025-02-26

10.1504/ijlsm.2025.144678 article EN International Journal of Logistics Systems and Management 2025-01-01

Background: Emergency scenarios present unprecedented challenges for supply chains worldwide, particularly in the management and distribution of critical supplies, where timely delivery maintaining integrity are crucial. Methods: This article explores an innovative approach to enhance emergency using blockchain technology simulation-based modelling. The proposed methodology aims tackle issues such as transparency, efficiency, security, which vital managing logistics during crises. A case...

10.3390/logistics9010043 article EN cc-by Logistics 2025-03-20

Additive Manufacturing is a production technology, which completely differs from the traditional subtractive approach. Because its different nature, application could cause strong changes in supply chains and it affect relationship between chain players. This paper proposes quantitative evaluation of effects on performance, considering system configurations. A simulation model has been implemented order to reproduce behavior players compare scenarios. Both additive technologies have modelled...

10.1016/j.procs.2021.01.261 article EN Procedia Computer Science 2021-01-01

Maintenance represents a critical aspect of manufacturing systems. Its optimization may lead companies to save costs related production losses and can extend the whole lifecycle assets or components. This paper aims at proposing methodology for evaluating behavior systems maintenance purpose by means analysis carried out on real vibration data collected in work environment. To this purpose, digital twin approach has been developed statistical method control charts integrated conduct about...

10.1016/j.procs.2022.01.252 article EN Procedia Computer Science 2022-01-01

In the era of smart factories, digital twin may be a key for improving ergonomics analyses related to manual assembly activities. The use technologies can help in bypassing some biases observational methods and speeding up analyses. This paper proposes framework based on development environment carrying out simulations complex working systems which number workers other variables have considered evaluation. Based such framework, case study considering heterogeneous car system has been...

10.1080/0951192x.2022.2090023 article EN International Journal of Computer Integrated Manufacturing 2022-07-01

In current industrial systems, automation is a very important aspect for assessing manufacturing production performance related to working times, accuracy of operations and quality. particular, the introduction robotic system in area should guarantee some improvements, such as risks reduction human operators, better quality results speed increase processes. this context, action remains still necessary carry out part subtasks, case composites assembly This study aims at presenting regarding...

10.3390/app10175757 article EN cc-by Applied Sciences 2020-08-20

More than 60 years has passed since the installation of first robot in an industrial context. Since then, robotics seen great advancements and, today, robots can collaborate with humans executing a wide range working activities. Nevertheless, impact on human operators not been deeply investigated. To address this problem, we conducted empirical study to measure errors performed by two groups people performing task through virtual reality (VR) device. A sample 78 engineering students...

10.3390/machines11070670 article EN cc-by Machines 2023-06-21

Abstract This paper presents an improved version of the Vantage Point Bees Algorithm (VPBA‐II), which is implemented to solve Travelling Salesman Problem. The Tree has been used produce initial tour solutions and also as a global search operator proposed algorithm find minimal Hamiltonian VPBA‐II tested on 15 different benchmark datasets from TSPLIB, particularly for high dimensional combinatorial solution spaces, it outperformed basic Algorithm. composition local operators combined with...

10.1002/masy.202000299 article EN Macromolecular Symposia 2021-04-01

The implementation of sustainability principles is becoming fundamental for companies, also creating added value in the production processes. Production managers should not consider only economic-financial aspects their decisions, but environmental and social implications to extend benefits all current future world populations. This vision requires develop apply sustainability-oriented methodologies compare alternative strategies. paper contributes addressing this problem by proposing a...

10.1016/j.jclepro.2023.138594 article EN cc-by Journal of Cleaner Production 2023-08-29

Purpose: the aim of study is to compare performance different supply chain configurations adopting Additive Manufacturing. Five input factors have been varied with testing response starting conditions. In order evaluate performance, a set key indicators identified considering both manufacturing and logistic processes.Design/methodology/approach: A discrete event simulation model has developed in reproduce behavior players according their role chain. Different modelled assess solution...

10.3926/jiem.3590 article EN cc-by Journal of Industrial Engineering and Management 2022-02-01

In the era of Industry 4.0, several advantages for industries come by implementation new technologies that play a key role improving production processes, focusing on working times, product quality, accuracy operations and other important parameters systems. order to evaluate these parameters, simulation may be used as tool verify (i) improvement adopted existing lines or (ii) design solutions line, optimizing processes. The aim this paper is investigate possibility assess before said in...

10.1016/j.promfg.2020.02.027 article EN Procedia Manufacturing 2020-01-01

Abstract Vehicle routing problem (VRP) is a combinatorial optimization that has been studied intensively for years. Although VRP can be solved using an exact method small instances, more complex one will impractical due to the nature of as NP‐hard problem. A metaheuristic suitable solve this kind because near‐optimal solution found in relatively shorter time compared algorithm. Bees Algorithm (BA) nature‐inspired used find VRP‐TSPLIB's datasets. This study aims provide results BA on standard...

10.1002/masy.202000284 article EN Macromolecular Symposia 2021-04-01
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