- Scheduling and Optimization Algorithms
- Flexible and Reconfigurable Manufacturing Systems
- Advanced Queuing Theory Analysis
- Manufacturing Process and Optimization
- Simulation Techniques and Applications
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Energy Efficiency and Management
- Digital Transformation in Industry
- Healthcare Operations and Scheduling Optimization
- Petri Nets in System Modeling
- Scheduling and Timetabling Solutions
- Vehicle Routing Optimization Methods
- Advanced Multi-Objective Optimization Algorithms
- Business Process Modeling and Analysis
- Product Development and Customization
- Advanced machining processes and optimization
- Reliability and Maintenance Optimization
- Probabilistic and Robust Engineering Design
- Optimization and Packing Problems
- Healthcare Policy and Management
- Engineering Technology and Methodologies
- Supply Chain and Inventory Management
- Transportation and Mobility Innovations
- Geriatric Care and Nursing Homes
Politecnico di Milano
2014-2024
Fondazione Politecnico di Milano
2023
Tunisia Private University
2020
Shanghai Maritime University
2019
University of Wisconsin–Madison
2019
SRKR Engineering College
2018
Koneru Lakshmaiah Education Foundation
2018
University of Parma
2018
Shanghai Jiao Tong University
2014-2017
Laboratoire Génie Industriel
2017
In recent years, home care (HC) service systems have been developed as alternatives to conventional hospitalization. Many resources are involved in delivering HC service, including different categories of human resources, support staff, and material resources. One the main issues encountered while planning is patient assignment problem, i.e., deciding which operator(s) will take admitted given some sets constraints (e.g., continuity care). This paper addresses resource problem for systems. A...
Energy saving in production plants is becoming more and relevant due to the pressure from governments contain environmental impact of manufacturing companies reduce costs. One measures for energy implementation control strategies that consumption during machine idle periods. This paper proposes a framework integrates different policies switching off when not critical on part flow has be resumed. A general policy formalized by modelling explicitly consumed at each state. The parameters...
Abstract This paper presents an analytical method for evaluating the performance of production lines with a finite buffer and two unreliable machines. Unlike in earlier papers, each machine can fail more than one way. For failure mode, geometrically distributed times to repair are specified. The evaluates steady-state probabilities states system computational effort that depends only on number modes considered not capacity buffer. A comparison those obtained existing techniques consider mode...
Home care service is recognized to be one of the major solutions contain costs in health care. However delivering this not an easy task because large number actors that participate process, variety clinical and organizational decisions, last but less important, difficulty synchronizing human material resources at patient's home. In paper we propose a linear integer scheduling model developed support resource short term planning home particular, deals with problem deciding (a) which should...
A large number of variables and unpredictable events affect the quality home care (HC) services. Changes in patient clinical social conditions troubles service organisation are only some examples that can make management HC activities quite difficult. The estimation requirements would support providers human resource planning before execution, thus improving efficiency. This article proposes a stochastic model to represent patient's pathway; on basis historical data an structure, provides...
Nowadays, the growing interest in industry for enhancing manufacturing processes sustainability is a major trend. One of most supported strategies to increase energy-efficiency activities control machine state towards optimum trade-off between production rate and energy demand. This method referred as energy-efficient it triggers machines standby with low power request. In this article, multi-stage lines composed identical parallel workstations are systems interest, policies make use buffer...
Data-driven bottleneck identification has received an increasing interest during the recent years. This approach locates throughput of manufacturing systems based on indicators derived from measured machine performance metrics. However, variability in may affect quality indicators, leading to possible inaccurate detection results. paper presents a statistical framework (SF) decrease data-driven inaccuracy caused by system variability. Using several tools as building blocks, proposed SF is...
In the last years, increase of data availability together with enhanced resource flexibility shed light on possibility to develop planning and control methods real-time inputs. Literature is rich approaches simulate, quickly evaluate system performances, take decisions based optimization criteria. Further, simulation has been identified as one pillars for Industry 4.0 revolution. However, lack a generally recognized approach methodology deal decision-making through evident. Simulation can...
More and more machines are increasing their flexibility so as to be able produce different products with the same tooling. In this context, it is necessary have fast accurate methods evaluate system performance. This paper presents an approximate analytical method for performance evaluation of production systems in which Z types produced. The proposed based on decomposition complex into a set simpler building blocks, each one formed by two homogeneous buffers. blocks models whole behavior...