Article
Computer Science, Interdisciplinary Applications
Goncalo Cardeal, Marco Leite, Ines Ribeiro
Summary: This paper aims to contribute to the large-scale adoption of additive manufacturing by proposing and demonstrating a decision-support model that identifies spare parts suitable for AM and supports the definition of optimized warehouse management strategies. The application of the model in the paper and pulp industry demonstrates significant economic gains from properly identifying spare parts and optimizing management strategies. However, there are still environmental difficulties to be overcome for large-scale adoption.
COMPUTERS IN INDUSTRY
(2023)
Article
Engineering, Industrial
Sha Zhu, Willem van Jaarsveld, Rommert Dekker
Summary: In this study, we propose a spare parts optimization model and algorithm to balance the cost of ordering spare parts and the cost of project delay. Using two-stage stochastic programming, we determine spare parts ordering policies and develop a detailed project schedule. Our sample average approximation method solves large instances quickly.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Alessandra Cantini, Mirco Peron, Filippo De Carlo, Fabio Sgarbossa
Summary: This paper aims to assist managers and practitioners in determining how to design their spare parts supply chains and adopt the appropriate manufacturing technology through the development of a decision support system. The authors propose a user-friendly decision tree that allows comparison of total costs between different levels of centralization and between additive manufacturing and conventional manufacturing for spare parts.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Kevin Wesendrup, Bernd Hellingrath
Summary: Production Planning and Control is crucial for manufacturers to achieve competitive advantage through continuous production. To tackle the complexity of post-prognostics PPC, a data-driven Reinforcement Learning model, specifically Proximal Policy Optimisation, is developed. The model outperforms other learners, reactive and scheduled preventive maintenance strategies, and shows robustness in the face of noise and cost changes.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Sergio Gallego-Garcia, Javier Gejo-Garcia, Manuel Garcia-Garcia
Summary: The study analyzed the impact of distribution network design and fixed or dynamic planned maintenance intervals on the overall efficiency of an aircraft fleet in the aviation industry. By developing a conceptual and simulation model, different distribution networks and maintenance strategies can be compared to aid companies and managers in making informed decisions.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Hongyan Dui, Xingju Yang, Meng Liu
Summary: This paper analyzes the problem of spare parts storage configuration in two-echelon maintenance and supply support systems. By studying the state transition rates of different parts and establishing an optimization model, a system-level comprehensive support rate and a site importance measure are proposed to determine the quantity and location of spare parts, aiming to maximize the system support efficiency.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Meimei Zheng, Hongqing Ye, Dong Wang, Ershun Pan
Summary: Efficient coordination in maintenance scheduling and spare parts management can reduce overall operational costs for companies. Balancing response times and prices from multiple suppliers is key in further reducing operational costs. A joint condition-based maintenance and spare parts provisioning policy can significantly reduce expected costs by as much as 42% in a multi-unit system with dual sourcing.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Interdisciplinary Applications
Sagar Ghuge, Vishwas Dohale, Milind Akarte
Summary: This study aims to demonstrate the applicability of Additive Manufacturing (AM) in spare part manufacturing. A novel generic multi-criteria framework using Delphi, analytical hierarchy process (AHP), and segmentation approaches is proposed to identify the most compatible spares producible through AM. The applicability of the framework is illustrated through a real-life case study.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
D. Rohaan, E. Topan, C. G. M. Groothuis-Oudshoorn
Summary: This study introduces a method to utilize RFQ data for B2B sales forecasting, showing significant improvement in efficiency and accuracy in a real-world case study. By incorporating artificial intelligence, it provides detailed guidance on how to enhance sales forecasting and highlights potential challenges along the way.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Rene Lastra, Alejandro Pereira, Miguel Diaz-Cacho, Jorge Acevedo, Antonio Collazo
Summary: This research focuses on the applicability of additive manufacturing (AM) to spare parts in the automotive manufacturing industry, specifically in the field of preventive maintenance. Through a case study conducted at the Stellantis factory in Vigo, Spain, the technical and economic feasibility of replacing polymer spare parts with AM parts made of polyamide material (PA12) using HP Multi-Jet and Selective Laser Sintering technology (SLS) is evaluated. The study provides observations, recommendations, and conclusions on the use of AM techniques to enhance preventive maintenance.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Industrial
Mingyao Sun, Chi To Ng, Feng Wu, T. C. E. Cheng
Summary: This paper studies the optimization of discretionary after-sales services, considering the effects of spare parts consumption and repairman travel on service quality. The study finds that the service provider's decision on spare parts consumption may contradict profit maximization, and the impact of repairman travel time on optimal service time varies depending on the presence of a maximum sojourn time constraint.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Review
Green & Sustainable Science & Technology
Shuai Zhang, Kai Huang, Yufei Yuan
Summary: The importance of spare parts inventory management is gaining attention, particularly in the pursuit of sustainability. Research in this area is mainly divided into two categories, focusing on spare parts characteristics and research methodologies, and emphasizing supply chain structures and analytical techniques.
Article
Computer Science, Artificial Intelligence
Vincent F. Yu, Nabila Yuraisyah Salsabila, Nurhadi Siswanto, Po-Hsun Kuo
Summary: The research proposes a joint optimization model for managing spare parts inventory and planned maintenance to balance inventory cost and spare parts availability. The study shows that the independent policy results in lower cost than the aggregate policy, and the proposed Genetic Algorithm performs efficiently for large-scale problems.
APPLIED SOFT COMPUTING
(2022)
Article
Mathematics
Ernesto Armando Pacheco-Velazquez, Manuel Robles-Cardenas, Saul Juarez Ordonez, Abelardo Ernesto Damy Solis, Leopoldo Eduardo Cardenas-Barron
Summary: This article presents a heuristic method to determine the optimal inventory level for spare parts, aiming to minimize total costs. The research offers a valuable decision-making framework based on two parameters, providing a quick and reliable estimation for practitioners.
Article
Engineering, Multidisciplinary
Yong He, Hong Wang, Xiujie Zhao
Summary: The joint optimization of maintenance actions and spare parts supply, considering bi-level imperfect preventive maintenance and spare part ordering, is proposed in this study. A virtual age reduction model is established taking into account bi-level imperfect preventive maintenance. An improved (s, S) inventory policy is also proposed using remaining PM number and accumulated spare parts consumption information. Solving the joint optimization model shows that it can coordinate spare part ordering quantity with the PM policy and reduce maintenance cost.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Engineering, Industrial
Emanuele Dovere, Sergio Cavalieri, Stefano Ierace
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2017)
Article
Engineering, Industrial
Roberto Pinto, Alexandra Lagorio, Ruggero Golini
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2019)
Article
Engineering, Manufacturing
Chiara Cimini, Alexandra Lagorio, Fabiana Pirola, Roberto Pinto
Summary: The dissemination of the Industry 4.0 paradigm has brought a plethora of technological innovations to companies for enhancing logistics processes; during the transition to Logistics 4.0, it is crucial to consider all factors affecting logistics, with human factors being deemed the most critical; research indicates that technology is trending towards replacing logistics operators, especially for tasks that are hazardous or stressful.
HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES
(2021)
Article
Engineering, Industrial
Michela Zambetti, Federico Adrodegari, Giuditta Pezzotta, Roberto Pinto, Mario Rapaccini, Cosimo Barbieri
Summary: This paper provides a systematic definition of the characteristics of data-driven product service systems and proposes a conceptual framework to support their understanding and development. By involving multiple industrial companies, a holistic view is constructed and the applicability of the framework is demonstrated through a case study.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Engineering, Industrial
Mozart B. C. Menezes, Roberto Pinto
Summary: This paper examines the impact of product proliferation on sales and profit, proposing a new approach to determine the size and quantity of the product portfolio in response to the effects of stochastic demand.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Chemistry, Multidisciplinary
Alexandra Lagorio, Chiara Cimini, Fabiana Pirola, Roberto Pinto
Summary: This paper emphasizes the important role of digital technologies in manufacturing, especially in production and industrial logistics processes. It suggests that companies need a deep understanding of the implementation context of technology solutions and related human aspects in order to fully exploit the potential of technology. The paper provides a taxonomy of technologies supporting internal logistics activities to drive logistics processes towards Logistics 4.0, with a focus on the relationship between human operators and technologies.
APPLIED SCIENCES-BASEL
(2021)
Article
Management
A. Lagorio, C. Cimini, R. Pinto, V. Paris
Summary: This paper analyzes and compares emergent supply chains with a well-established supply chain model through a case study, demonstrating the significant role of voluntary local production and distribution networks based on 3D printing technology in compensating for the lack of materials in emergency situations.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Chiara Cimini, David Romero, Roberto Pinto, Sergio Cavalieri
Summary: This paper analyzes the evolution of Workforce 4.0 job profiles from a job-task perspective concerning the adoption of smart and digital technologies in manufacturing companies. It presents a task classification framework and a job-task analysis method, which were evaluated and refined using an action-research approach. The proposed framework and method contribute to analyzing operators' tasks and identifying the requirements of new skills for emerging job profiles.
Article
Management
Alexandra Lagorio, Chiara Cimini, Claudia Piffari, Mattia Galimberti, Fabiana Pirola, Roberto Pinto
Summary: This paper proposes a framework that incorporates human factors into a company's daily operations to choose the best technology based on their requirements. The framework is validated through multiple case studies and shows potential in understanding human factors in tasks and technologies to avoid issues related to technological changes.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Chiara Cimini, Alexandra Lagorio, Claudia Piffari, Mattia Galimberti, Roberto Pinto
Summary: This article highlights the importance of considering human factors in the transition to Industry and Logistics 4.0 paradigms. Through a case study of a medium-sized Italian manufacturing company, the article discusses the strategies and overall impacts on job profiles, tasks, and human factors to prevent resistance and inefficiencies during implementation.
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SMART MANUFACTURING AND LOGISTICS SYSTEMS: TURNING IDEAS INTO ACTION, APMS 2022, PT II
(2022)
Review
Management
Alexandra Lagorio, Giovanni Zenezini, Giulio Mangano, Roberto Pinto
Summary: Innovative technologies have been successfully adopted in logistics and supply chain management, leading to increased efficiency, reduced costs, and improved communication. However, the existing literature on technology adoption, implementation, and evaluation in logistics is fragmented. This systematic literature review provides an updated and structured overview of the research, aiming to better understand the trends and identify key research gaps in logistics technology adoption.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2022)
Proceedings Paper
Computer Science, Information Systems
Chiara Cimini, Fabiana Pirola, Sergio Cavalieri
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: THE PATH TO DIGITAL TRANSFORMATION AND INNOVATION OF PRODUCTION MANAGEMENT SYSTEMS, PT I
(2020)
Article
Management
Roberto Pinto, Michela Zambetti, Alexandra Lagorio, Fabiana Pirola
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2020)
Proceedings Paper
Engineering, Industrial
Roberto Sala, Fabiana Pirola, Emanuele Dovere, Sergio Cavalieri
ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: PRODUCTION MANAGEMENT FOR THE FACTORY OF THE FUTURE, PT I
(2019)
Article
Business
Stefano Andreani, Matteo Kalchschmidt, Roberto Pinto, Allen Sayegh
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2019)
