1,720,983 research outputs found
Risk and maintenance: a quantitative evaluation in public service through simulation's techniques
No full textA simulation approach in process mining conformance analysis. the introduction of a brand new BPMN element
No full textThe computerization of organizational processes provides several tools for evaluating the quality of mapping. An executed process produces, in each instance, log files that can be used to reconstruct the actual procedure carried out by the system as well as to highlight deviations or "move" from the mapped path. These "moves" represent a loss that we consider unacceptable for organizations, which manifests its effects in various modes and weights. From this arises, in our view, the need for tools and logic approach to manage and limit the "conformance risk", including as well as a proper consideration and methodological evaluation of the same risk, but also practical solutions and mapping tools that might influence the occurrence. In this paper we propose a methodology and a simulation model of "Conformance Risk Aware Desing" in order to support the modeler in moving from a diagnostic to a preventive and design view of the conformance's matter. Purpose In this paper we have analyzed the Process Mining theme and give a new interpretation of the "conformance analysis" treating this issue not as an inevitable diagnostic phenomenon but as a real and necessary design parameter. This turning point is realized increasing the process mapping's quality through two main purposes. Our first purpose is the introduction of a brand new modeling elements in the world famous BPMN Modelling Notation with the implicit and objective meaning of "conformance controller" that indicates the need for the agent to communicate about the execution of the preceding task. The second part of the purpose pass through the systematic inclusion of a "conformance controller" pattern after each task whose deviation's risk assessment exceeds a certain threshold value. This methodological approach led to a stronger process design as for the task considered critical by the organization and to a lower need of process model repairing efforts and costs once that the process is released and log files are available. Design/methodology/approach In order to demonstrate the usefulness and value of our proposal we got served of a simulation based on the System Dynamic logic. We've modeled a human resource's behavior facing a number of task to perform under the influence and the documentation of a process model including both the "conformance controller" and the controller pattern. We used a combination of software including Matlab and Powersim Studio in order to getting results about a numeric estimation of the strength of the mapped task, basing our argument on the fuzzy logic rules and techniques, as for Matlab, and simulating hundred runs of a generic process in different operational scenarios, as for Powersim Studio. Collecting all the simulated data, we produced a series of statistical considerations about the effectiveness of the proposal and about the scenarios that increased its economical efficiency. Originality/value We open the discussion concerning the need by the organizations, increasingly constrained by regulatory guidelines and outside interests, of managing and preventing the risk of deviation from the process model especially regarding the critical and most added valued tasks, proposing a specific methodology. We also propose the integration of the BPMN Modelling Notation with a new implicit element and pattern to be used for the aim above. Another important aspect of the proposal is the building of a provisional model able to predict the impact of deviation from the mapped process using the defuzzyfication and implementable by every kind of organization that owns datasets about its processes
A stepped approach to support preassembly tasks assignment in bus production
No full textThis paper proposes a structured approach to assign operations related to material and subassembly preparation before line assembly, to a group of multiskilled operators. It first characterizes the preparation tasks and their compatibility with the skill level of operators. Then, it formulates and solves the corresponding assignment problem. In case of infeasibility or not optimal solutions, the approach permits also to identify appropriate training measures in order to minimize the number of involved operators or maximize the number of assigned preparation tasks. This approach is the outcome of an action research case study which dealt with a bus assembly line. The results showed that the approach was relatively easy to implement and effectively led some crucial decisions which were mostly experience-based and not made in a structured manner
Risk and maintenance: a quantitative evaluation in public service through simulation's techniques
No full textFlow shop scheduling algorithm to optimize warehouse activities
No full textSuccessful flow-shop scheduling outlines a more rapid and efficient process of order fulfilment in warehouse activities. Indeed the way and the speed of order processing and, in particular, the operations concerning materials handling between the upper stocking area and a lower forward picking one must be optimized. The two activities, drops and pickings, have considerable impact on important performance parameters for Supply Chain wholesaler companies. In this paper, a new flow shop scheduling algorithm is formulated in order to process a greater number of orders by replacing the FIFO logic for the drops activities of a wholesaler company on a daily basis. The System Dynamics modelling and simulation have been used to simulate the actual scenario and the output solutions. Finally, a t-Student test validates the modelled algorithm, granting that it can be used for all wholesalers based on drop and picking activities
An electrical DC Motor Equivalent Circuit testbed for the battery Prognostic Health and Management
No full textThe role of innovation in industrial development system. A Simulation appraoch for sustainability of global supply chain network
No full textAssessing maintenance planning and scheduling using Deep Reinforcement Learning
No full textMaintenance scheduling is critical in many industries, and recent advances in Deep Reinforcement Learning (DRL) have shown that it can optimise scheduling decisions in complex and dynamic contexts. Traditional methods of maintenance scheduling frequently confront obstacles, making DRL an appealing alternative. This study presents a novel approach for autonomously determining optimal maintenance scheduling decisions in production systems that blends a simulation-based model with a DRL agent. The learning agent makes intelligent judgements based on the chance of failure and machine availability through trial and error. The setup of the DRL setting, particularly the reward function, has a considerable impact on the approach's performance. The proposed hybrid simulation-based and DRL methodology outperforms existing heuristic methods in rigorous evaluation, demonstrating its promise for efficient and effective maintenance planning and scheduling. This work sets the way for better system reliability and productivity in companies that rely on complex systems
On the advances of the Industry 4.0 Manufacturing Planning and Control system architectures
No full textDuring the last decades, the Material Resource Planning system has been considered an essential management tool for facing the manufacture of complex and highly customised products. Nowadays, the recent innovations brought from the Industry 4.0 push for a strong evolution of the Manufacturing Planning and Control System (MPC) architectures, aiming to a new class of control architectures. Among these, the intermediate (i.e., the semi-heterarchical and oligarchical) ones are taking considerable interest from the manufacturing firms due to their increased flexibility degree and productivity enhancement. However, the current scientific literature is still focused on the 'hierarchical' approach of these architectures while the 'horizontal' bargaining among entities and architecture modules need to be further investigated. After a narrative literature review of MPC architecture, this paper will focus on the development of such intermediate architectures. In particular, referring to a semi-heterarchical MPC architecture, this work extends the contributes to the design of the horizontal aspect of the higher level, evaluating the possible advantages of such an application
Data Analisys approach to support Surgical Schedule Development: the case of A.O.R.N. “Antonio Cardarelli” of Naples (Italy)
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