An ensemble-learning model for failure rate prediction

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Politiche avanzate per la gestione delle parti di ricambio dei magazzini Sofidel

La tesi tratta della codifica dei ricambi all'interno dei magazzini del gruppo cartario Sofidel e della ricerca di nuove politiche di gestione per il magazzino ricambi. è stato cercato un modo per standardizzare i livelli di scorta all'interno dei magazzini. Inoltre è stato cercato un metodo sistematico per individuare tutti quei ricambi che non sono più utilizzati all'interno dei magazzini

Industry 4.0 solutions for Fashion Supply Chains - Analysis and development of tools and techniques for the implementation of digital technologies

The research project focuses on the digitalisation of the fashion supply chain, however other topics are also analysed. Chapters 2, 3, 4, and 6 are dedicated to the fashion supply chain. Tool to assess inefficiencies, card-based system to manage the shop floor, innovative framework, and supply chain resilience analysis are presented. Instead, Chapter 5 report a systematic literature review on supply chain resilience during the COVID-19 pandemic. The remaining chapters are related to I4.0. Chapter 7 presents the formulation of a structured approach for monitoring the introduction of I4.0 related technologies in factories, Chapter 8 and 9 the development of simulation models related to warehouses

The Impact of COVID-19 on the Italian Footwear Supply Chain of Small and Medium-Sizes Enterprises (SMEs) - Evaluation of Two Case Studies

This paper aims to provide a case study related to two small and medium-sized enterprises (SMEs) of the Italian footwear supply chain, comparing sales and production data from pre-pandemic years with those affected by the COVID-19 (SARS-CoV-2) pandemic. Specifically, two Tuscany companies in the world of fashion footwear sector have been assisted in the analysis of their supply chains. In particular, the case research method has been employed for theory building to evaluate how companies reacted to the disruption caused by the COVID-19 pandemic to focus on potential resilience strategies that could be adopted to deal with a disruption, such as that caused by the COVID-19 pandemic. Specifically, in order to understand the dynamics of the supply chains, the standard production processes were initially studied and mapped, analyzing in detail the planning, programming, and control phase. After conducting a descriptive analysis of the data, possible resilience factors of SMEs’ fashion supply chains have been extracted, and strategies that SMEs could adopt to better cope with the disruption caused by the pandemic have been suggested. The outcomes of this study can be used by decision-makers to predict the operative and long-term impacts of epidemic outbreaks on the supply chains with some suggestions of potential resilience improvement strategies. The paper is concluded by summarizing the most important insights and outlining future research agenda

COBACABANA: a real industrial application in a job shop system

COntrol of BAlance by CArd-BAsed NAvigation (COBACABANA) is a card-based system for job shop control. This paper presents a real industrial application of COBACABANA aimed at solving production control problems in an Italian manufacturer of valves and flanges, configured as a job shop system. To the best of our knowledge, this is the first industrial implementation of COBACABANA. Although COBACABANA can be extended to estimating delivery time allowances, this research focuses only on its shop floor control mechanism. In the case study, the COBACABANA boards and cards are carefully reviewed. The criticalities and limitations of traditional COBACABANA are fully explored and, subsequently, two new boards and a new form are introduced to facilitate its practicality and ease of implementation. The new tools enable planners to better monitor the pre-shop pool status and the progress of orders

Managerial and Industry 4.0 solutions for fashion supply chains

Purpose – The purpose of this paper is to present a structured framework whose objectives are to identify, analyse and eliminate fashion-luxury supply chains inefficiencies. Design/methodology/approach – A Lean Manufacturing tool, the 5-Whys Analysis, has been used to find out the root causes associated with the problem identified from a data analysis of production orders of a fashion-luxury company. A case study, which explains the methodology and illustrates the capability of the tool, is provided. Findings – This tool can be considered a suitable instrument to identify the causal factors of inefficiencies within luxury supply chains, suggesting potential countermeasures able to eliminate the problems previously highlighted. In addition, enabling technologies that deal with Industry 4.0 are associated with the root causes to enable further improvement of the supply chain. Practicalimplications – The effectiveness and practicality of the tool are illustrated using an industrial case study concerning an international Italian signature in the world of fashion-luxury footwear sector. Originality/value – This framework provides practitioners with an operative tool useful to highlight where the major inefficiencies of fashion-luxury supply chains take place and, at the same time, individuates both the root causes of inefficiencies and the corresponding corrective actions, even considering Industry 4.0 enabling technologies

Key Performance Indicators and Industry 4.0 – A structured framework for monitoring the implementation of digital technologies

Concerns regarding digital transformation have forced manufacturing organizations to rethink their operations and processes to gain a competitive advantage. For several companies, the design and implementation of indicators are deemed crucial for better management and control of emerging concepts and ideas regarding digital technologies. Despite the quick shift towards digital transformation has captured the attention of both the industry and academia, very few efforts have been made to streamline useful indicators able to monitor the implementation of Industry 4.0 (I4.0) technologies. Owing to these considerations, this paper attempts (i) to design and implement several Key Performance Indicators able to monitor the evolution of core processes that will benefit from the I4.0 technologies, and (ii) to provide an easy-to-use approach that can be implemented in practice to guide decision-makers in the diffusion, adoption, and performance evaluation of I4.0 technologies. The effectiveness and practicality of the methodology are illustrated using a case study concerning an industrial project implemented in a leading international company in the power generation industry

Using RFID Technology and Discrete-Events, Agent-Based Simulation Tools to Build Digital-Twins of Large Warehouses

The present work presents a modular, object-oriented and agent-based simulation model of a large warehouse for paper products. It integrates the well-known Ultra High Frequency Radio Frequency Identification (UHF RFID) technology to transform a simulation model into an interactive digital twin that receives data from the sensors and optimises routes and space allocation while trying to reduce the travelled distance, the handling and the potential congestion within the aisles. The system performs experiments and provides the operators with the optimised routes for the next 30 minutes, allowing to improve the management of the system

Critical assessment of the technical standards and regulations about the energy isolation and unexpected start-up in machineries

Several international standards and regulations specify the practices and procedures necessary to remove the supply of energy and to disable machinery or equipment, thereby preventing the release of hazardous energy while employees perform servicing and maintenance activities. Among them, LockOut-TagOut (LOTO) is a common safety procedure used in industry to ensure that dangerous machineries are properly shut off and not able to be started up again prior to the completion of service or maintenance. Also, the essential health and safety requirement 1.6.3 of the Machinery Directive 2006/42/EC reports provisions about the isolation of energy sources. Despite all these documents address requirements to prevent unexpected machine start-ups to allow safe human interventions in hazardous zones, serious accidents continue to occur due to lapses and errors during these activities. Owing to these considerations, this paper compares standards and regulations dealing with unexpected machine start-ups and LOTO applications, discussing their strengths, weaknesses, and opportunities for improvements and making a comparison among the most relevant provisions. The aim is to critically discuss the most crucial requirements that users must follow when employees could be exposed to hazardous energy while servicing and maintaining equipment and machineries

Flexible Simulation for Manufacturing & Supply Chain Management

Optimization of production processes is essential for competitiveness in industry and nowadays this activity can benefit from datasets combined with simulation based solutions. In this study the authors propose application of this approach to the field of shoe production chain, with particular attention to improvement of coordination among its participants