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Dr. Fernanda Strozzi
School of Industrial Engineering, Carlo Cattaneo University LIUC, 21053 Castellanza VA, Italy

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Research Keywords & Expertise

0 Dynamical Systems
0 Sensitivity Analysis
0 Social Network Analysis
0 Control systems
0 Nonlinear time series analysis

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Nonlinear time series analysis
Dynamical Systems
Social Network Analysis

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Journal article
Published: 26 July 2021 in Supply Chain Forum: An International Journal
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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 investigated with the associated effect on performance; however, studies on how industry 4.0 technologies might support integrated strategies are still incipient. This work investigates the hierarchical relationships of ‘industry 4.0 technologies’ with lean and agile strategies. Adopting the ‘Interpretive Structural Modelling (ISM)’ technique to present a model depicting the linkage, the work also classifies the technologies and practices according to their ‘driving’ and ‘dependency’ powers. The findings revealed that the technologies have a high affinity to enable the implementation of lean and agile strategies. Among the nine technologies included in the study, ‘Cyber-Physical-System’, ‘Internet-of-Things’, ‘Cloud-Computing’, and ‘Big-Data-Analytics’ have the highest driving powers, signifying their higher affinity with the practices. Meanwhile, all the practices have a high enough affinity to be influenced by the technologies, except for a few (3/16 of lean and 2/9 of agile) that possess affinities too low to be driven by these technologies. The theoretical and managerial impacts of the research are also emphasised.

ACS Style

Ibrahim Oluwole Raji; Eduard Shevtshenko; Tommaso Rossi; Fernanda Strozzi. Modelling the relationship of digital technologies with lean and agile strategies. Supply Chain Forum: An International Journal 2021, 1 -24.

AMA Style

Ibrahim Oluwole Raji, Eduard Shevtshenko, Tommaso Rossi, Fernanda Strozzi. Modelling the relationship of digital technologies with lean and agile strategies. Supply Chain Forum: An International Journal. 2021; ():1-24.

Chicago/Turabian Style

Ibrahim Oluwole Raji; Eduard Shevtshenko; Tommaso Rossi; Fernanda Strozzi. 2021. "Modelling the relationship of digital technologies with lean and agile strategies." Supply Chain Forum: An International Journal , no. : 1-24.

Journal article
Published: 22 April 2021 in Sustainability
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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 technology as a key component of cyber supply chain risk management (CSCRM). This research relied on the “interpretive structural modeling (ISM)” technique in the structure of a hierarchical model to investigate the contextual relationships of identified challenges for blockchain adoption in CSCRM; it also classifies the influential challenges based on their driving and dependence powers. The results highlight that “cryptocurrency volatility” is the challenge at the top level of the hierarchy, implying weak driving power but it is strongly dependent on the other challenges. “Poor regulatory provisions”, “technology immaturity”, “dependent on input information from external oracles”, “scalability and bandwidth issues”, and “smart contract issues” are significant challenges for the adoption of blockchain in cyber supply chain risk management and are located at the bottom level of the hierarchy with higher driving power. The implications for theory and practice of the research are also highlighted.

ACS Style

Niloofar Etemadi; Pieter Van Gelder; Fernanda Strozzi. An ISM Modeling of Barriers for Blockchain/Distributed Ledger Technology Adoption in Supply Chains towards Cybersecurity. Sustainability 2021, 13, 4672 .

AMA Style

Niloofar Etemadi, Pieter Van Gelder, Fernanda Strozzi. An ISM Modeling of Barriers for Blockchain/Distributed Ledger Technology Adoption in Supply Chains towards Cybersecurity. Sustainability. 2021; 13 (9):4672.

Chicago/Turabian Style

Niloofar Etemadi; Pieter Van Gelder; Fernanda Strozzi. 2021. "An ISM Modeling of Barriers for Blockchain/Distributed Ledger Technology Adoption in Supply Chains towards Cybersecurity." Sustainability 13, no. 9: 4672.

Review
Published: 07 February 2021 in Information
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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 analysis (SLNA) to extract and analyze the papers. The procedure consists of two methods: a systematic literature review (SLR) and bibliometric network analysis (BNA). This paper provides an important contribution to the literature in applying blockchain as a key component of cyber supply chain risk management (CSRM), manage and predict disruption risks that lead to resilience and robustness of the supply chain. This systematic review also sheds light on different research areas such as the potential of blockchain for privacy and security challenges, security of smart contracts, monitoring counterfeiting, and traceability database systems to ensure food safety and security.

ACS Style

Niloofar Etemadi; Yari Borbon-Galvez; Fernanda Strozzi; Tahereh Etemadi. Supply Chain Disruption Risk Management with Blockchain: A Dynamic Literature Review. Information 2021, 12, 70 .

AMA Style

Niloofar Etemadi, Yari Borbon-Galvez, Fernanda Strozzi, Tahereh Etemadi. Supply Chain Disruption Risk Management with Blockchain: A Dynamic Literature Review. Information. 2021; 12 (2):70.

Chicago/Turabian Style

Niloofar Etemadi; Yari Borbon-Galvez; Fernanda Strozzi; Tahereh Etemadi. 2021. "Supply Chain Disruption Risk Management with Blockchain: A Dynamic Literature Review." Information 12, no. 2: 70.

Journal article
Published: 29 June 2020 in Asia-Pacific Journal of Risk and Insurance
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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 during the 2000s. We map the research fields using our own criteria to create clusters and visualize the flow of knowledge within and between the clusters employing citation network analysis (CNA). We contribute by providing the most comprehensive systematic review that integrates both fields, additionally encapsulating studies on the demand for policy loans. The article detects the most important drivers of life insurance policyholder behavior during his/her lifetime and opens new horizons for future research.

ACS Style

Bojan Srbinoski; Fernanda Strozzi; Klime Poposki; Patricia H. Born. Trends in Life Insurance Demand and Lapse Literature. Asia-Pacific Journal of Risk and Insurance 2020, 14, 1 .

AMA Style

Bojan Srbinoski, Fernanda Strozzi, Klime Poposki, Patricia H. Born. Trends in Life Insurance Demand and Lapse Literature. Asia-Pacific Journal of Risk and Insurance. 2020; 14 (2):1.

Chicago/Turabian Style

Bojan Srbinoski; Fernanda Strozzi; Klime Poposki; Patricia H. Born. 2020. "Trends in Life Insurance Demand and Lapse Literature." Asia-Pacific Journal of Risk and Insurance 14, no. 2: 1.

Review
Published: 21 February 2020 in Sustainability
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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 research trends. Accordingly, based on a Systematic Literature Network Analysis, this paper tackles this gap. First, a Citation Network Analysis is used to unearth the development of the CE literature based on papers’ references, whilst the Main Path is traced to detect the seminal papers in the field through time. Second, to consider the literature in its broader extent, a Keywords Co-Occurrence Network Analysis is conducted based on papers’ keywords, whereby all papers in the dataset, including the non-cited papers, are assessed. Additionally, a Global Citation Score analysis is conducted to uncover the recent breakthrough research, in addition to the Burst Analysis used to detect the dynamic development of CE literature over time. By doing so, the paper explores the development of the CE body of knowledge, reveals its dynamic evolution over time, detects its main theoretical perspectives and research domains, and highlights its emerging topics. Our findings unfold the evidence of eight main trends of research about CE, unearth the path through which the CE concept emerged and has been growing, and concludes with promising avenues for future research.

ACS Style

Fatima Khitous; Fernanda Strozzi; Andrea Urbinati; Fernando Alberti. A Systematic Literature Network Analysis of Existing Themes and Emerging Research Trends in Circular Economy. Sustainability 2020, 12, 1633 .

AMA Style

Fatima Khitous, Fernanda Strozzi, Andrea Urbinati, Fernando Alberti. A Systematic Literature Network Analysis of Existing Themes and Emerging Research Trends in Circular Economy. Sustainability. 2020; 12 (4):1633.

Chicago/Turabian Style

Fatima Khitous; Fernanda Strozzi; Andrea Urbinati; Fernando Alberti. 2020. "A Systematic Literature Network Analysis of Existing Themes and Emerging Research Trends in Circular Economy." Sustainability 12, no. 4: 1633.

Journal article
Published: 29 March 2019 in Decision Support Systems
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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 main objective of the present study is to explore the benefits of adopting the social network analysis (SNA) approach to investigate the determinants of a patient's choice of healthcare provider as a way to support better resource allocation decisions in healthcare systems. For the purpose of the analysis, administrative data was used to track the flow of patients within orthopaedic departments of the Lombardy region (Italy) in 2014. A network was developed with two types of nodes: those of orthopaedic departments in the regional hospitals (114 nodes), and those of municipalities (5092 nodes). Using the Louvain algorithm, the communities and sub-communities were determined on the basis of patients' choices, without any prior geographical considerations or planned catchment areas. Traditional SNA measures and other novel indicators, specifically developed for this study, were applied: in particular, attractiveness (i.e. the preference that patients assign to a certain department against the others available in the same reference area) and confinement (of demand) (i.e. the degree of the unique use of a certain department). A decision support matrix based on these indicators was defined for decision makers to use in evaluating department profiles, and optimizing the location of services and allocation of resources, while preserving accessibility to care and patients' preferences. The decision support matrix was also evaluated on the basis of real practice and decisions made by regional healthcare managers.

ACS Style

Fernanda Strozzi; Elisabetta Garagiola; Paolo Trucco. Analysing the attractiveness, availability and accessibility of healthcare providers via social network analysis (SNA). Decision Support Systems 2019, 120, 25 -37.

AMA Style

Fernanda Strozzi, Elisabetta Garagiola, Paolo Trucco. Analysing the attractiveness, availability and accessibility of healthcare providers via social network analysis (SNA). Decision Support Systems. 2019; 120 ():25-37.

Chicago/Turabian Style

Fernanda Strozzi; Elisabetta Garagiola; Paolo Trucco. 2019. "Analysing the attractiveness, availability and accessibility of healthcare providers via social network analysis (SNA)." Decision Support Systems 120, no. : 25-37.

Research article
Published: 14 December 2014 in Game Theory
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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 problem (TSP) to find the optimal route. Then the traveling salesman game (TSG) is introduced, where the bus stops are associated with the players of a cooperative game, thus allowing the study of possible allocations of the total cost among them. The optimal route is found by the Branch and Bound algorithm. The Shapley vector and the separable and nonseparable cost are the methods used to allocate the cost of the optimal route among players.

ACS Style

Nicola Besozzi; Luca Ruschetti; Chiara Rossignoli; Fernanda Strozzi. The Traveling Salesman Game for Cost Allocation: The Case Study of the Bus Service in Castellanza. Game Theory 2014, 2014, 1 -6.

AMA Style

Nicola Besozzi, Luca Ruschetti, Chiara Rossignoli, Fernanda Strozzi. The Traveling Salesman Game for Cost Allocation: The Case Study of the Bus Service in Castellanza. Game Theory. 2014; 2014 ():1-6.

Chicago/Turabian Style

Nicola Besozzi; Luca Ruschetti; Chiara Rossignoli; Fernanda Strozzi. 2014. "The Traveling Salesman Game for Cost Allocation: The Case Study of the Bus Service in Castellanza." Game Theory 2014, no. : 1-6.

Journal article
Published: 01 April 2012 in International Journal of Production Research
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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 using the state-space volume calculated with all the state variables of the model. However, it is also possible to calculate the divergence by applying state-space reconstruction techniques using only one state variable. The results obtained with both approaches show that this strategy allows the reduction in the total cost.

ACS Style

Fernanda Strozzi; Carlo Noè; José-Manuel Zaldívar. Divergence control of a one-level supply chain replenishment rule. International Journal of Production Research 2012, 50, 2046 -2057.

AMA Style

Fernanda Strozzi, Carlo Noè, José-Manuel Zaldívar. Divergence control of a one-level supply chain replenishment rule. International Journal of Production Research. 2012; 50 (7):2046-2057.

Chicago/Turabian Style

Fernanda Strozzi; Carlo Noè; José-Manuel Zaldívar. 2012. "Divergence control of a one-level supply chain replenishment rule." International Journal of Production Research 50, no. 7: 2046-2057.

Original articles
Published: 09 June 2009 in International Journal of Production Research
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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 definition is introduced. Finally the paper verifies that the new measure of inventory oscillations provides more information on supply chain performance than the bullwhip measure.

ACS Style

Matteo Coppini; Chiara Rossignoli; Tommaso Rossi; Fernanda Strozzi. Bullwhip effect and inventory oscillations analysis using the beer game model. International Journal of Production Research 2009, 48, 3943 -3956.

AMA Style

Matteo Coppini, Chiara Rossignoli, Tommaso Rossi, Fernanda Strozzi. Bullwhip effect and inventory oscillations analysis using the beer game model. International Journal of Production Research. 2009; 48 (13):3943-3956.

Chicago/Turabian Style

Matteo Coppini; Chiara Rossignoli; Tommaso Rossi; Fernanda Strozzi. 2009. "Bullwhip effect and inventory oscillations analysis using the beer game model." International Journal of Production Research 48, no. 13: 3943-3956.

Journal article
Published: 30 October 2008 in The Open Operational Research Journal
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Stability Control in a Supply Chain: Total Costs and Bullwhip Effect Reduction

ACS Style

Fernanda Strozzi; Carlo Noè; José-Manuel Zaldívar. Stability Control in a Supply Chain: Total Costs and Bullwhip Effect Reduction. The Open Operational Research Journal 2008, 2, 51 -59.

AMA Style

Fernanda Strozzi, Carlo Noè, José-Manuel Zaldívar. Stability Control in a Supply Chain: Total Costs and Bullwhip Effect Reduction. The Open Operational Research Journal. 2008; 2 (1):51-59.

Chicago/Turabian Style

Fernanda Strozzi; Carlo Noè; José-Manuel Zaldívar. 2008. "Stability Control in a Supply Chain: Total Costs and Bullwhip Effect Reduction." The Open Operational Research Journal 2, no. 1: 51-59.

Journal article
Published: 01 October 2008 in The European Physical Journal Special Topics
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ACS Style

F. Strozzi; E. Gutiérrez; C. Noe; T. Rossi; M. Serati; J.M. Zaldívar. Measuring volatility in the Nordic spot electricity market using Recurrence Quantification Analysis. The European Physical Journal Special Topics 2008, 164, 105 -115.

AMA Style

F. Strozzi, E. Gutiérrez, C. Noe, T. Rossi, M. Serati, J.M. Zaldívar. Measuring volatility in the Nordic spot electricity market using Recurrence Quantification Analysis. The European Physical Journal Special Topics. 2008; 164 (1):105-115.

Chicago/Turabian Style

F. Strozzi; E. Gutiérrez; C. Noe; T. Rossi; M. Serati; J.M. Zaldívar. 2008. "Measuring volatility in the Nordic spot electricity market using Recurrence Quantification Analysis." The European Physical Journal Special Topics 164, no. 1: 105-115.

Journal article
Published: 31 January 2007 in Decision Support Systems
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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 minima. Our results show that the best performance of the chain is obtained when the sectors have different order policies. The advantage increases with the increasing change in the customer demand.

ACS Style

F. Strozzi; J. Bosch; J.M. Zaldívar. Beer game order policy optimization under changing customer demand. Decision Support Systems 2007, 42, 2153 -2163.

AMA Style

F. Strozzi, J. Bosch, J.M. Zaldívar. Beer game order policy optimization under changing customer demand. Decision Support Systems. 2007; 42 (4):2153-2163.

Chicago/Turabian Style

F. Strozzi; J. Bosch; J.M. Zaldívar. 2007. "Beer game order policy optimization under changing customer demand." Decision Support Systems 42, no. 4: 2153-2163.

Journal article
Published: 31 May 2006 in Chaos, Solitons & Fractals
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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 approximately 25% gain may be obtained in those series without transaction costs and an optimum mean value of approximately 11% gain assuming 0.2% of costs in each transaction.

ACS Style

Fernanda Strozzi; José-Manuel Zaldívar Comenges. Towards a non-linear trading strategy for financial time series. Chaos, Solitons & Fractals 2006, 28, 601 -615.

AMA Style

Fernanda Strozzi, José-Manuel Zaldívar Comenges. Towards a non-linear trading strategy for financial time series. Chaos, Solitons & Fractals. 2006; 28 (3):601-615.

Chicago/Turabian Style

Fernanda Strozzi; José-Manuel Zaldívar Comenges. 2006. "Towards a non-linear trading strategy for financial time series." Chaos, Solitons & Fractals 28, no. 3: 601-615.

Book chapter
Published: 01 January 2002 in Advances in Quantitative Asset Management
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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 original state space from measurements. This has open a new field of research: non-linear time series analysis. The objective of this Chapter is to provide the reader with an overall picture of the embedding theory and time-delay state space reconstruction techniques. We hope that this introductory chapter will guide the reader in understanding the subsequent chapters where different relevant aspects of dynamical systems theory are going to be discussed in more depth and detail.

ACS Style

F. Strozzi; J. M. Zaldivar. Embedding Theory: Introduction and Applications to Time Series Analysis. Advances in Quantitative Asset Management 2002, 11 -42.

AMA Style

F. Strozzi, J. M. Zaldivar. Embedding Theory: Introduction and Applications to Time Series Analysis. Advances in Quantitative Asset Management. 2002; ():11-42.

Chicago/Turabian Style

F. Strozzi; J. M. Zaldivar. 2002. "Embedding Theory: Introduction and Applications to Time Series Analysis." Advances in Quantitative Asset Management , no. : 11-42.

Journal article
Published: 01 January 2000 in Journal of Hydroinformatics
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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 embedding vectors and on the characterisation of invariant properties which define its dynamics. The results suggest the existence of a low dimensional chaotic attractor with a Lyapunov dimension, DL, of around 6.6 and a predictability between 8 and 13 hours ahead. Furthermore, once the attractor has been reconstructed it is possible to make predictions by mapping local-neighbourhood to local-neighbourhood in the reconstructed phase space. To compare the prediction results with another nonlinear method, two nonlinear autoregressive models (NAR) based on multilayer feedforward neural networks have been developed. From the study, it can be observed that nonlinear forecasting produces adequate results for the ‘normal’ dynamic behaviour of the water level of Venice Lagoon, outperforming linear algorithms, however, both methods fail to forecast the ‘high water’ phenomenon more than 2–3 hours ahead.

ACS Style

J. M. Zaldívar; E. Gutierrez; I. M. Galván; F. Strozzi; A. Tomasin. Forecasting high waters at Venice Lagoon using chaotic time series analysis and nonlinear neural networks. Journal of Hydroinformatics 2000, 2, 61 -84.

AMA Style

J. M. Zaldívar, E. Gutierrez, I. M. Galván, F. Strozzi, A. Tomasin. Forecasting high waters at Venice Lagoon using chaotic time series analysis and nonlinear neural networks. Journal of Hydroinformatics. 2000; 2 (1):61-84.

Chicago/Turabian Style

J. M. Zaldívar; E. Gutierrez; I. M. Galván; F. Strozzi; A. Tomasin. 2000. "Forecasting high waters at Venice Lagoon using chaotic time series analysis and nonlinear neural networks." Journal of Hydroinformatics 2, no. 1: 61-84.

Journal article
Published: 01 November 1999 in AIChE Journal
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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 segment of the reaction path, was developed and compared with previous criteria. This criterion has the property of being preserved under phase‐space reconstruction and, hence, it is possible to calculate it when only temperature data are available. This reconstructed divergence is compared with the theoretically calculated divergence using temperature and conversion data. The comparison demonstrates the validity of such an approach finding a new path, lying between the simple use of measured variables and the complex model‐based reconstruction techniques, to assess in advance hazardous situations in chemical reactors.

ACS Style

F. Strozzi; J. M. Zaldívar; Alexandre E. Kronberg; K. R. Westerterp. On-Line runaway detection in batch reactors using chaos theory techniques. AIChE Journal 1999, 45, 2429 -2443.

AMA Style

F. Strozzi, J. M. Zaldívar, Alexandre E. Kronberg, K. R. Westerterp. On-Line runaway detection in batch reactors using chaos theory techniques. AIChE Journal. 1999; 45 (11):2429-2443.

Chicago/Turabian Style

F. Strozzi; J. M. Zaldívar; Alexandre E. Kronberg; K. R. Westerterp. 1999. "On-Line runaway detection in batch reactors using chaos theory techniques." AIChE Journal 45, no. 11: 2429-2443.

Conference paper
Published: 01 June 1998 in IFAC Proceedings Volumes
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ACS Style

T. Obertopp; M.A. Alós; J.M. Zaldívar; F. Strozzi; E.D. Gilles. New Intrinsic Runaway Criteria and Their Application To The Model-Based On-Line-Monitoring of Continuous and Discontinuous Reactors. IFAC Proceedings Volumes 1998, 31, 383 -388.

AMA Style

T. Obertopp, M.A. Alós, J.M. Zaldívar, F. Strozzi, E.D. Gilles. New Intrinsic Runaway Criteria and Their Application To The Model-Based On-Line-Monitoring of Continuous and Discontinuous Reactors. IFAC Proceedings Volumes. 1998; 31 (10):383-388.

Chicago/Turabian Style

T. Obertopp; M.A. Alós; J.M. Zaldívar; F. Strozzi; E.D. Gilles. 1998. "New Intrinsic Runaway Criteria and Their Application To The Model-Based On-Line-Monitoring of Continuous and Discontinuous Reactors." IFAC Proceedings Volumes 31, no. 10: 383-388.