An economic order quantity stochastic dynamic optimization model in a logistic 4.0 environment

This paper proposes a stock dynamic sizing optimization under the Logistic 4.0 environment. The safety stock is conceived to fill up the demand variability, providing continuous stock availability. Logistic 4.0 and the smart factory topics are considered. It focuses on vertical integration to implement flexible and reconfigurable smart production systems using the information system integration in order to optimize material flow in a 4.0 full-service approach. The proposed methodology aims to reduce the occurring stock-out events through a link among the wear-out items rate and the downstream logistic demand. The failure rate items trend is obtained through life-cycle state detection by a curve fitting technique. Therefore, the optimal safety stock size is calculated and then validated by an auto-tuning iterative modified algorithm. In this study, the reorder time has been optimized. The case study refers to the material management of a very high-speed train

Development and implementation of an algorithm for preventive machine maintenance

This paper aims to develop a maintenance optimization model to maintain a high level of efficiency and reliability of the machinery. The methodological approach is based on preventive maintenance through the partial or total replacement of critical components. Although an intermediate intervention control, the focus is on a particular machine that has stopped several times, reducing its operational availability and resulting in a high cost of non-production. This study uses a Weibull model to analyze and optimize the correct maintenance process of the machinery considered. The failure data are then analyzed and scheduled. The final purpose is to standardize the operators' intervention procedures to reduce the time for the same interventions

Modelling a safety management system using system dynamics at the Bhopal incident

In a safety management system (SMS), risk management plays a key role for the prevention of accidents. This study aims to propose a safety management model by using a system dynamics approach applied to the Bhopal incident. The model proposed in this paper discusses the relationships among the main causes that have contributed to the occurrence of the incident studied, such as broken safety devices, inadequate personnel experience, operator decisions, manager production strategy, policy decision, as deduced from the relevant literature about the Bhopal incident dynamics. The simulation and the results clarify how to manage the key factors to make the plant safe. Moreover, we want to underline how these key modern aspects of safety could be enhanced by using the enabling technologies of industry 4.0

Use of the AHP methodology in system dynamics: Modelling and simulation for health technology assessments to determine the correct prosthesis choice for hernia diseases

Abstract Health technology assessments (HTAs) are often difficult to conduct because of the decisive procedures of the HTA algorithm, which are often complex and not easy to apply. Thus, their use is not always convenient or possible for the assessment of technical requests requiring a multidisciplinary approach. This paper aims to address this issue through a multi-criteria analysis focusing on the analytic hierarchy process (AHP). This methodology allows the decision maker to analyse and evaluate different alternatives and monitor their impact on different actors during the decision-making process. However, the multi-criteria analysis is implemented through a simulation model to overcome the limitations of the AHP methodology. Simulations help decision-makers to make an appropriate decision and avoid unnecessary and costly attempts. Finally, a decision problem regarding the evaluation of two health technologies, namely, the evaluation of two biological prostheses for incisional infected hernias, will be analysed to assess the effectiveness of the model

A Conceptual Framework to Defining Leading Indicators to Measure Safety Management System Performance

The measurement of health and safety management performance in organisations is a key step, as well as in any management process, as it provides information to identify the critical areas that require actions to achieve continuous improvement. Within the safety management system (SMS), the performance measurement is therefore associated with the check step in the plan-do-check-act (PDCA) cycle. However, it is also in the planning phase that we need to think about what we will have to measure in order to be able to make decisions in key areas. Unfortunately, based on existing literature and standardisation, there is no unique checklist for measuring the performance of safety management systems. Although theorists and researchers have not yet found standard indicators for measuring the SMS performance, they seem to agree in classifying performance indicators into lagging and leading indicators. While lagging indicators measure the frequency of injuries, illnesses and fatalities that occurred in the past, leading indicators provide information about safety and health activities by enabling organisations to implement preventive measures. In this paper, the authors have proposed a conceptual framework for defining key indicators to measure safety performance. The objective is to design a structured path to identify indicators, among those existing in the literature and those widely used by experts, for each element of the SMS. The steps for using these indicators are also traced

Technology Transfer between NATO Countries and Cooperative Partner Cuontries.

NATO Advanced Research Workshop -Ankara, Turkey, July 9

Ecologia industriale: sviluppo di uno strumento di supporto di decisione per la rifabbricabilità di un prodotto eco-compatibile

Tesi di Dottorato di Ricerca in Tecnologie ed Impianti Industriali, Bologna, febbraio 199

Immagazzinamento e movimentazione dei materiali dell'industria manifatturiera. Analisi tecnico-economica delle soluzioni di impianto e di esercizio

Tesi di Laurea in Ingegneria Meccanica, Universitò degli Studi di Napoli " Federico II ", Gennaio 199