Fernanda Strozzi

University Carlo Cattaneo | liuc · School of Industrial Engineering

GoogLeNet is a pre-trained Convolutional Neural Network (CNN) that allows transfer learning and has achieved high recognition rates in image classification tasks. A Recurrence Plot (RP) is an imaging method that depicts the recurrence of the state space system using coloured points and lines in 2D images. This work contributes to facilitating time...

Within business forecasting, the choice of the forecasting model is crucial. In fact, not all models can be functional to all time series and their applicability is based on the features of the considered time series, such as trend, seasonality and randomness. The identification of features is, then, a fundamental activity to achieve the desired fo...

Background: The crowding of emergency departments (EDs) is one of the major poor-quality factors for patients. Because of this, measuring ED performance in Healthcare Systems is a difficult but an important task needed to enhance quality and efficiency. Purpose: (i) Development of a tool to observe and evaluate performance measurement, analysing...

Purpose Over the last few decades, more emphasis has been placed on those innovations that can reconcile economic, social and environmental goals in order to achieve a “win-win-win” situation. This paper aims to systematise the scientific literature on Sustainable Innovation as a broad field in order to identify the most relevant scholars and their...

Organisational Learning (OL) is essential for the survival of an organisation and has led to a significant amount of conceptual and empirical studies. However, no attempt has yet been made to track the overall evolution of OL literature along with the interrelated concepts of learning organisation and organisational learning orientation. Therefore,...

As the world becomes globalised, companies fight for survival by connecting their in-house processes with external suppliers/customers. To remain competitive, companies must integrate innovative capabilities like ‘industry-4.0 technologies’ with their operation and supply chain (SC) strategies. The integration of various strategies has been investi...

Background Change is an ongoing process in any organizations. Over years, healthcare organizations have been exposed to multiple external stimuli to change (eg, ageing population, increasing incidence of chronic diseases, ongoing Sars-Cov-2 pandemic) that pointed out the need to convert the current healthcare organizational model. Nowadays, the top...

Over the last few years, the increasing level of cyber risks derived from the growing connectedness of Industry 4.0 has led to the emergence of blockchain technology as a major innovation in supply chain cybersecurity. The main purpose of this study is to identify and rank the significant barriers affecting the implementation of blockchain technolo...

Purpose Lean and agile are essential supply chain management (SCM) strategies that enhance companies' performance. Previous studies have reported the capabilities of different SCM strategies to enhance performance; however, the emergence of Industry 4.0 technologies has bred focus on the possibility of attaining more levels of operational performan...

The purpose of this review is to describe the landscape of scientific literature enriched by an author’s keyword analysis to develop and test blockchain’s capabilities for enhancing supply chain resilience in times of increased risk and uncertainty. This review adopts a dynamic quantitative bibliometric method called systematic literature network a...

The interest of the literature in the last few years around the theme of Digital Twins (DT) and its connection with the pillars of Industry 4.0 (I 4.0) paradigm, in particular relating with Virtual Reality (VR) and Augmented Reality (AR) technologies has strongly grown. As a matter of fact, since 2018 it can be noticed a steady increase in publicat...

The aim of this study is to investigate the body of literature on digital twins, exploring, in particular, their role in enabling smart industrial systems. This review adopts a dynamic and quantitative bibliometric method including works citations, keywords co-occurrence networks, and keywords burst detection with the aim of clarifying the main con...

The ongoing COVID-19 epidemic highlights the need for effective tools capable of predicting the onset of infection outbreaks at their early stages. The tracing of confirmed cases and the prediction of the local dynamics of contagion through early indicators are crucial measures to a successful fight against emerging infectious diseases (EID). The...

Purpose The authors analyse the impact of European funding research programmes on the topic of Ambient Assisted Living by considering its status, future context, and the implications for prospective knowledge management. Design/methodology/approach The authors apply our variation of classical Systematic Literature Review – Systematic Literature Ne...

The food supply chain is a complex system responsible for the circulation of food products, and managing it requires IT infrastructures and technologies that are free of cyber-risk and that are used to connect, build and share information. Blockchain technology is a distributed ledger that can play an important role in providing data transparency,...

Abstract Purpose – The common purpose of this review is to depict a landscape of the scientific literature enriched by an author's keywords analysis to develop and test blockchain’s capabilities for cyber-risks and disruption risk prevention in international supply chains. Design/methodology/approach – This review adopted a dynamic and quantitative...

The article analyzes the interconnectedness and gaps between two interrelated streams of literature, evolving in different time periods, by employing bibliometric tools. The research on the factors of life insurance demand started in the late 1960s and early 1970s, while more intensive works on the drivers of lapses in life insurance appeared durin...

In recent years, the interest of researchers and practitioners has been increased for collaboration in the supply chain. Nowadays many companies deal with advanced information technologies (IT) in supply chain collaboration. However, it is still difficult to understand how information technology promotes supply chain collaboration. The objective of...

The debate about Circular Economy (CE) has been increasingly enriched by academics through a vast array of contributions, based on several theoretical perspectives and emanating from several research domains. However, current research still falls short of providing a holistic and broader view of CE, one that combines existing themes and emerging re...

Nowadays many companies deal with lean: some of them have a consolidated lean adoption, others are facing the lean transformation and many others are combining lean with the newest strategies. In all these contexts, the key resource is the human factor and utmost attention should be put to its interface with the organization. This study aims to cla...

Due to the increasing pressure on resource limitations and the need for efficiency improvements, effective healthcare service planning should analyse trends in citizens’ demand for healthcare services, as well as patients’ choices of healthcare providers, which are determined not only by prestige, but also by physical accessibility and availability...

The aim of this study is to investigate the body of literature on lean published by the International Journal of Production Research (IJPR), which has been interested in the subject since its dawn. This review adopted a dynamic and quantitative bibliometric method composed of the keywords co-occurrence network and keywords burst detection. The anal...

Purpose The purpose of this paper is to identify and discuss the most important research areas on information sharing in supply chains and related risks, taking into account their evolution over time. This paper sheds light on what is happening today and what the trajectories for the future are, with particular respect to the implications for supp...

Topics such as the relationship between tourism and economic impact, its potential benefits and negative externalities are characterized by both vastness and heterogeneity of contents. Therefore, it can be complex to pinpoint the seminal works of each area of study. To extract the backbones of the research tradition, we applied the dynamic literatu...

Notwithstanding the existence of a broad research base on assembly line balancing (ALB), companies do not use the mathematical approaches developed in the literature to configure assembly lines. This article aims to fill the gap between research and application by presenting and testing in a real industrial context a methodology based on complexity...

Benefits obtained by the adoption of lean thinking are often declared in the literature but not measured both at local and global level. In this work, the benefits quantification of an adoption of a lean thinking order policy is measured in the case of beer game supply chain modelled by Thomsen et al. (1992) considering the impact on bullwhip effec...

The objective of this paper is to depict a landscape of the scientific literature on the concept of the ‘Smart Factory’, which in recent years is gaining more and more attention from academics and practitioners because of significant innovations in the production systems within the manufacturing sector. To achieve this objective, a dynamic methodol...

Continuous improvement in Higher Education can be supported by effective literature reviews to unveil contemporary and current educational needs and lay the foundations of programmes of study. As no discipline remains static, the aim of this paper is to present a methodology for conducting literature reviews that can complement traditional content-...

The field of Green Supply Chain Management (GSCM) has recently gained considerable attention from both academics and practitioners. This has caused an exponential growth in the number of publications related to different aspects of sustainability in the supply chain. This study aims to show information processing and management techniques, to revea...

This paper studies cost allocation for the bus transportation service in Castellanza, a small town (14,000 inhabitants ca.) close to Varese, Italy. Carlo Cattaneo University (LIUC) is one of the promoters and funders of this service, together with the City Council and other private agents. The case study is first analysed as a traveling salesman pr...

The development of science in various fields and the proliferation of the number of scientific studies have prompted researchers to represent the scientific literature as a network whose nodes are works and citations are the links (citation network). In this way, one can more easily detect milestones articles, and areas of greatest scientific activ...

Purpose Supply chain risk management (SCRM) has recently gained increasing attention in the supply chain context, both from the practitioners' perspective and as a research area. Given the relevance of the topic, the aim of the present paper is to present a focused literature review, investigating the process of knowledge creation, transfer and dev...

We present a general control and improvement strategy for a one-level supply chain based on maintaining the divergence of the system close to zero at each time step. The online implementations as well as the results obtained are shown for a logistic chain model with an Order-Up-To policy using several demand patterns. The divergence can be obtained...

We analyze networks generated by the recurrence plots of the time series of chaotic systems and study their properties, evolution and robustness against several types of attacks. Evolving recurrence networks obtained from chaotic systems display interesting features from the point of view of robustness (in particular, those related to their connect...

In the present study divergence operator is exploited with the aim to improve the frequency regulation in a distribution network weakly connected to the transmission grid. A novel regulator has been investigated to drive a storage device with the target to improve the system dynamic behavior. The proposed approach has been implemented in a dedicate...

This work examines the bullwhip effect generated and suffered by each level of a four-stage beer game supply chain when different demand scenarios are considered. The paper shows that the actors who generate lower bullwhip are those who suffer more from its effects. Moreover, a new definition of an inventory oscillations measure based on bullwhip d...

We present and apply a control methodology using the divergence of the system as a goal function to control semibatch chemical reactors and show how the process operation may be optimized by only measuring the reactor and jacket temperatures. The implementation of the approach is also demonstrated using phase-space reconstruction techniques. This n...

The electricity system price of the Nord Pool spot market is analysed. Different time scale analysis tools are assessed with focus on the Hurst exponent and long range correlations. Daily and weekly periodicities of the spot market are identified. Even though space time separation plots suggest more stationary behaviour than other financial time se...

The bullwhip effect refers to the phenomenon of demand distortion in a supply chain. By eliminating or con-trolling this effect, it is possible to increase product profitability. The main focus of this work is to apply a control tech-nique, based on the divergence of system, to reduce the bullwhip effect in a single-product one echelon supply chain...

In this work, we have applied Recurrence Quantification Analysis (RQA)to data sets taken from the Nordic spot electricity market. Our main interest was in trying to correlate their volatility with variables obtained from the quantification of recurrence plots (RP). For this reason we have based our analysis on known historical events: the evolution...

The bullwhip effect refers to the phenomenon of amplification and distortion of demand in a supply chain. By eliminating or controlling this effect, it is possible to increase product profitability reducing useless costs such as stock-out and obsolescence costs. The main focus of this work is to study a single-product serial supply chain in which a...

A non-linear time series analysis technique, recurrence quantification analysis (RQA) based on recurrence plots (RP), is proposed in this paper for the characterization of regime shifts in environmental time series. Its application is illustrated for two case studies: lake eutrophication by excessive phosphorous and the regime shift that occurred i...

We present a general control and optimization strategy based on time-step state space volume control. This is performed by maintaining the divergence of the system close to zero. The on-line implementation is shown for batch chemical reactors and the simulated results are compared with a traditional control scheme.

The application of recurrence quantification analysis (RQA) and state space divergence reconstruction for the analysis of financial time series in terms of cross-correlation and forecasting is illustrated using high-frequency time series and random heavy-tailed data sets. The results indicate that these techniques, able to deal with non-stationarit...

The present work analyses the optimal Beer Game order policy when customers demand increases. The optimal policy is found by means of a Genetic Algorithms (GAs) technique. GAs are specially suited for this problem because of the high dimension of the search space, and because the objective function i.e. the global score of the chain, has many local...

A new trading strategy based on state space reconstruction techniques is proposed. The technique uses the state space volume evolution and its rate of change as indicators. This methodology has been tested off-line using eighteen high-frequency foreign exchange time series with and without transaction costs. In our analysis an optimum mean value of...

A new methodology based on state space reconstruction techniques has been developed for trading in financial markets. The methodology has been tested using 18 high-frequency foreign exchange time series. The results are in apparent contradiction with the efficient market hypothesis which states that no profitable information about future movements...

We present a method for early detection of runaway initiation in chemical reactors using only temperature measurements and based on the calculation of the divergence of the system. The method is based on state space reconstruction techniques and is illustrated using simulated as well as experimental datasets. The results show that the method is abl...

We present a method for early detection of runaway initiation in chemical reactors using only temperature measurements and based on the calculation of the divergence of the system. The method is based on state space reconstruction techniques and is illustrated using simulated as well as experimental datasets. The results show that the method is abl...

In this work, we have analysed the use of pressure instead of temperature measurements for the early warning detection of runaway initiation. This is possible due to the fact that our runaway criterion, i.e. div>0, does not depend specifically on which state space variable we are using for divergence calculation. A series of runaway experiments, ca...

The divergence criterion allows detection in advance runaway initiation. When divergence (div) is greater than zero, this indicates that the reactor is moving to a dangerous state. In this work, a series of experiments have been carried out in a pilot-plant reactor, using the esterification reaction between 2-propanol and propionic anhydride, in or...

The divergence criterion allows detection in advance runaway initiation. When divergence (div) is greater than zero, this indicates that the reactor is moving to a dangerous state. In this work, a series of experiments have been carried out in a pilot-plant reactor, using the esterification reaction between 2-propanol and propionic anhydride, in or...

We present a method for early detection of runaway initiation in batch and semibatch isoperibolic reactors using only temperature measurements, and based on the calculation of the divergence of the system by applying state space reconstruction techniques. The method is illustrated for simulated as well as experimental data sets. The results show th...

A general runaway criterion based on the divergence of the system has recently been developed. In this work we have applied the criterion to polymerization reactions. The runaway limits (or parametric sensitive regions) have been found and compared with previous criteria. The results show that the new criterion is able to distinguish between runawa...

A general runaway criterion valid for single as well as for multiple reaction types, i.e. consecutive, parallel, equilibrium, and mixed kinetics reactions, and for several types of reactors, i.e. batch reactor (BR), semibatch reactor (SBR) and continuous stirred tank reactor (CSTR) has been developed. Furthermore, different types of operating condi...

In this work we have applied nonlinear time series analysis to high-frequency currency exchange data. The time series studied are the exchange rates between the US Dollar and 18 other foreign currencies from within and without the Euro zone. Our goal was to determine if their dynamical behaviours were in some way correlated. The nonexistence of sta...

Although the use of positive Liapunov exponents has been emphasized in the context of confirmation of chaotic dynamics, their original conception concerned system stability as a qualitative feature. Using a recurrence-based algorithm, data from experimental reactions are presented for exponent use in this context. Emphasis is placed on the utility...

The fact that even though when we will not know the equations defining an underlying dynamical system and we are not able to measure all state space variables, we may be able to find a one-to one correspondence between the original state space and a reconstructed space using few variables means that it is possible to identify unambiguously the orig...

Time series analysis using nonlinear dynamics systems theory and multilayer neural networks models have been applied to the time sequence of water level data recorded every hour at ‘Punta della Salute’ from Venice Lagoon during the years 1980–1994. The first method is based on the reconstruction of the state space attractor using time delay embeddi...

In this work nonlinear time-series analysis using delay coordinate embedding was applied to simulated temperature data from isoperibolic batch reactors to develop an early-warning detection system of the runaway. In the first part of this study an early-warning detection criterion, that is, when the divergence of the system becomes positive on a se...

In this work, the generalised parametric sensitivity criterion has been applied to isoperibolic-constant jacket temperature-semi-batch reactors (SBRs). The results show that the criterion discerns between non-ignition and thermal runaway regions. However, the optimal parametric regions for operating semi-batch processes, called QFS (quick onset, fa...

In this paper two intrinsic runaway criteria are applied to the early detection of hazardous states in batch, semibatch and continuous chemical reactors. The new criteria are based on parametric sensitivity and the divergence. The evaluation of the criteria is done by means of a model-based measuring technique, namely a Kalman filter. After a compa...

The generalised thermal parametric sensitivity criterion is applied to the thermal behaviour of the esterification of 2-butanol with propionic anhydride in a batch reactor under isoperibolic conditions. The reaction is catalysed by sulphuric acid, and the study covered the effects of both catalyst concentration and, in the absence of catalyst, jack...

Thermally safe operation of a SBR implies that conditions leading to a large accumulation of unconverted reactants are avoided. In this work a new method for assessing the thermal stability of semibatch processes is presented. The thermal runaway region is characterised as a function of the design parameters using a criterion based on the Lyapunov...

The use of Lyapunov exponents to calculate the parametric sensitivity of batch reactors is described. The esterification between 2-butanol and propionic anhydride catalysed by sulphuric acid is studied in the regions of high parametric sensitivity for two different parameters: coolant temperature and catalyst concentration. The results show that Ly...

The use of Lyapunov exponents to calculate the parametric sensitivity of batch reactors is described and compared with existing methods. Even though the results are quite similar the advantages of this new method reside in its simplicity and in the possibility that Lyapunov exponents can be computed from measured experimental data by reconstructing...

The aim of this work is to perform a literature review, using Citation Network Analysis and the related software package Citation Network Analyzer (CNA), on the concepts of robustness and resilience defined according to the complex networks theory and applied to Supply Chain Design. There are several contributions that consider the concepts of robu...

The bullwhip effect refers to the phenomenon of demand distortion in a supply chain. By eliminating or controlling this effect, it is possible to increase product profitability. The main focus of this work is to apply a recent developed control technique to reduce the bullwhip effect in a single-product serial supply chain in which an Order-Up-To o...