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The marble processing cycle involves the production of large quantities of wastes whose disposal represents an economic and environmental concern for marble companies due to the difficulty of identifying suitable landfills and the high transfer costs. In this context, the design of a sustainable industrial plant that allows the reuse of the calcium carbonate (CaCO3) contained in the marble waste is extremely challenging. With this recognition, the main industrial applications of CaCO3 are firstly analyzed in the present work to identify the physical–chemical properties required to CaCO3 in these contexts. Later, different plant solutions are suggested to recover CaCO3 from marble sludge in order to allow its use in industrial applications. The designed industrial plant includes an energy efficient drying phase, which exploits the thermal waste of the exhaust gases produced in a cogeneration section, and a subsequent milling phase. Since marble wastes currently constitute an economic burden for companies and an environmental emergency for the Public Administration, the performed technical–economic analysis shows that its recovery may represent an opportunity of sustainable development for the marble sector.
Giada La Scalia; Concetta Manuela La Fata; Antonella Certa; Rosa Micale. A multifunctional plant for a sustainable reuse of marble waste toward circular economy. Waste Management & Research: The Journal for a Sustainable Circular Economy 2021, 1 .
AMA StyleGiada La Scalia, Concetta Manuela La Fata, Antonella Certa, Rosa Micale. A multifunctional plant for a sustainable reuse of marble waste toward circular economy. Waste Management & Research: The Journal for a Sustainable Circular Economy. 2021; ():1.
Chicago/Turabian StyleGiada La Scalia; Concetta Manuela La Fata; Antonella Certa; Rosa Micale. 2021. "A multifunctional plant for a sustainable reuse of marble waste toward circular economy." Waste Management & Research: The Journal for a Sustainable Circular Economy , no. : 1.
Construction is nowadays considered an extremely energy intensive industry and one of the main sources of environmental pollution in the world. Therefore, the research and the development of novel energy-saving manufacturing processes and sustainable construction materials is more than ever urgent and challenging. This paper aims at identifying the industrial process for the production of novel geopolymers to be used as a greener substitute for cement, especially the Portland one, widely used for structural applications to significantly reduce the environmental impact of the construction industry. Here, the materials sustainability and the manufacturing process are improved by valorising and reusing wastes, deriving from the pulp-paper industry, as raw materials. This industry generates a great quantity of wastes that represent a real concern both for their environmental impact and cost of disposal. The new industrial process was evaluated after scaling up the laboratory procedure to an industrial dimension. Consequently, each small-scale process was deeply analysed (raw materials involved and processes) and transposed into a massive-production. The most relevant processes that show an elevated environmental impact were identified and the energy consumption of the whole process has been assessed resulting, for the analysed geopolymeric product, an embodied energy of 645 MJ/ton, being about one sixth of the OPC. Moreover, a preliminary economic analysis has been conducted in terms of raw materials involved in the proposed industrial process revealing a decreasing cost per ton increasing the waste recycling. All considered, the main conclusions are that the industrial scale up of the proposed geopolymeric product, assessed for the first time in literature along with the related proposed considerations, could be highly competitive to the Portland production involving greener processes with a much lower energy consumption and a greater financial saving by improving the wastes quantity.
Giada La Scalia; Manfredi Saeli; Luca Adelfio; Rosa Micale. From lab to industry: Scaling up green geopolymeric mortars manufacturing towards circular economy. Journal of Cleaner Production 2021, 316, 128164 .
AMA StyleGiada La Scalia, Manfredi Saeli, Luca Adelfio, Rosa Micale. From lab to industry: Scaling up green geopolymeric mortars manufacturing towards circular economy. Journal of Cleaner Production. 2021; 316 ():128164.
Chicago/Turabian StyleGiada La Scalia; Manfredi Saeli; Luca Adelfio; Rosa Micale. 2021. "From lab to industry: Scaling up green geopolymeric mortars manufacturing towards circular economy." Journal of Cleaner Production 316, no. : 128164.
Nowadays, the Occupational Health and Safety (OHS) is more and more recognized as a crucial process to be properly managed and continuously improved by every organization. Primarily addressed to prevent workers’ injuries and diseases, it positively impacts on productivity, competitiveness and reputation as well as it contributes to cost savings in general. OHS management is grounded upon the risk assessment results, on the basis of which defining corrective measures to be taken to reduce risks to acceptable values. In this regard, the paper proposes a Multi-Criteria Decision Making (MCDM) based methodology addressed to the occupational risks prioritization. In order to overcome the shortcomings of the traditional risk matrix, the new methodology considers three evaluation criteria differently weighted by the Analytic Hierarchy Process (AHP) method. Among criteria, one specifically refers to the contribution of human factors to the occurrence of accidents, and a combination of Human Error Assessment and Reduction Technique (HEART) and Standardized Plant Analysis Risk-Human (SPAR-H) techniques is used to this aim. Afterwards, the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method is applied to rank risks. The proposed approach is implemented in a Sicilian manufacturing company that produces and commercializes wooden products, together with the sale of outdoor furniture. The comparison of the obtained results with the ones arising from previous risk analyses performed by the company highlights the higher ability of the proposed methodology to differentiate risks.
C.M. La Fata; A. Giallanza; R. Micale; G. La Scalia. Ranking of occupational health and safety risks by a multi-criteria perspective: Inclusion of human factors and application of VIKOR. Safety Science 2021, 138, 105234 .
AMA StyleC.M. La Fata, A. Giallanza, R. Micale, G. La Scalia. Ranking of occupational health and safety risks by a multi-criteria perspective: Inclusion of human factors and application of VIKOR. Safety Science. 2021; 138 ():105234.
Chicago/Turabian StyleC.M. La Fata; A. Giallanza; R. Micale; G. La Scalia. 2021. "Ranking of occupational health and safety risks by a multi-criteria perspective: Inclusion of human factors and application of VIKOR." Safety Science 138, no. : 105234.
Construction is recognized as one of the most polluting and energy consuming industries worldwide, especially in developing countries. Therefore, Research and Development (R&D) of novel manufacturing technologies and green construction materials is becoming extremely compelling. This study aims at evaluating the reuse of various wastes, originated in the Kraft pulp-paper industry, as raw materials in the manufacture of novel geopolymeric (GP) mortars whose properties fundamentally depend on the target application (e.g., insulating panel, partition wall, structural element, furnishing, etc.). Five different wastes were reused as filler: Two typologies of Biomass Fly Ash, calcareous sludge, grits, and dregs. The produced samples were characterized and a multi criteria analysis, able to take into account not only the engineering properties, but also the environmental and economic aspects, has been implemented. The criteria weights were evaluated using the Delphi methodology. The fuzzy Topsis approach has been used to consider the intrinsic uncertainty related to unconventional materials, as the produced GP-mortars. The computational analysis showed that adding the considered industrial wastes as filler is strongly recommended to improve the performance of materials intended for structural applications in construction. The results revealed that the formulations containing 5 wt.% of calcareous sludge, grits, and dregs and the one containing 7.5 wt.% of calcareous sludge, grits, dregs, and Biomass Fly Ash-1 have emerged as the best alternatives. Furthermore, it resulted that the Biomass Fly Ash-2 negatively influences the structural performance and relative rank of the material. Finally, this case study clearly shows that the fuzzy Topsis multi-criteria analysis represents a valuable and easy tool to investigate construction materials (either traditional and unconventional) when an intrinsic uncertainty is related to the measurement of the quantitative and qualitative characteristics.
Manfredi Saeli; Rosa Micale; Maria Paula Seabra; João A. Labrincha; Giada La Scalia. Selection of Novel Geopolymeric Mortars for Sustainable Construction Applications Using Fuzzy Topsis Approach. Sustainability 2020, 12, 5987 .
AMA StyleManfredi Saeli, Rosa Micale, Maria Paula Seabra, João A. Labrincha, Giada La Scalia. Selection of Novel Geopolymeric Mortars for Sustainable Construction Applications Using Fuzzy Topsis Approach. Sustainability. 2020; 12 (15):5987.
Chicago/Turabian StyleManfredi Saeli; Rosa Micale; Maria Paula Seabra; João A. Labrincha; Giada La Scalia. 2020. "Selection of Novel Geopolymeric Mortars for Sustainable Construction Applications Using Fuzzy Topsis Approach." Sustainability 12, no. 15: 5987.
Lime slaker grits and biomass fly ash are solid wastes produced by the Kraft paper-pulp industry that are commonly disposed of in landfill. However, recent studies and European regulations discourage such disposal practices. This work investigates an alternative and innovative way to recycle and reuse these wastes in the production of green geopolymeric mortars intended for application in the construction industry. Here, biomass fly ash was used as the main source of alumino-silicate in the binder precursor (70 wt.% substitution to metakaolin), and grits (ranging from 1–12.5 mm, as provided by the industry) were reused as aggregate. Aggregate granulometry was also completed by using a commercial natural siliceous sand (
Manfredi Saeli; Luciano Senff; David Maria Tobaldi; Giada La Scalia; Maria Paula Seabra; João Antonio Labrincha. Innovative Recycling of Lime Slaker Grits from Paper-Pulp Industry Reused as Aggregate in Ambient Cured Biomass Fly Ash-Based Geopolymers for Sustainable Construction Material. Sustainability 2019, 11, 3481 .
AMA StyleManfredi Saeli, Luciano Senff, David Maria Tobaldi, Giada La Scalia, Maria Paula Seabra, João Antonio Labrincha. Innovative Recycling of Lime Slaker Grits from Paper-Pulp Industry Reused as Aggregate in Ambient Cured Biomass Fly Ash-Based Geopolymers for Sustainable Construction Material. Sustainability. 2019; 11 (12):3481.
Chicago/Turabian StyleManfredi Saeli; Luciano Senff; David Maria Tobaldi; Giada La Scalia; Maria Paula Seabra; João Antonio Labrincha. 2019. "Innovative Recycling of Lime Slaker Grits from Paper-Pulp Industry Reused as Aggregate in Ambient Cured Biomass Fly Ash-Based Geopolymers for Sustainable Construction Material." Sustainability 11, no. 12: 3481.
R. Micale; G. La Scalia. Shelf life-based inventory management policy for RF monitored warehouse. International Journal of RF Technologies 2018, 9, 101 -111.
AMA StyleR. Micale, G. La Scalia. Shelf life-based inventory management policy for RF monitored warehouse. International Journal of RF Technologies. 2018; 9 (3-4):101-111.
Chicago/Turabian StyleR. Micale; G. La Scalia. 2018. "Shelf life-based inventory management policy for RF monitored warehouse." International Journal of RF Technologies 9, no. 3-4: 101-111.
Nowadays functional foods are becoming more popular due to their capacity to prevent and/or reduce the risk of certain diseases. Functional foods improve health and give physiological benefits providing nutrients beyond the simple nutritional value. The market for functional foods is growing rapidly and the consumers are willing to pay a premium price for these products. In this context, the production of pasta comprising Opuntia may represent an opportunity to combine the widespread consumption of pasta in the traditional Mediterranean Diet and the beneficial characteristics of the Opuntia, including anti-inflammatory, antioxidant, hypoglycemic, antimicrobial and neuroprotective properties. The aim of this paper is to evaluate the economic feasibility of the production of dried pasta functionalized with an extract of cladodes from Opuntia Ficus Indica in an existing medium-size pasta factory. For this purpose, an economic evaluation based on scenarios analysis was conducted. In particular, in each scenario different percentages of Opuntia solution were considered and two different economic aspects were varied: the price of the functionalized pasta and the cost of the Opuntia solution that satisfies a fixed price for the final product. The economic evaluation was carried out on the basis of the Net Present Value and of the Investment Payback Time.
R. Micale; A. Giallanza; M. Enea; G. La Scalia. Economic assessment based on scenario analysis for the production of a new functional pasta. Journal of Food Engineering 2018, 237, 171 -176.
AMA StyleR. Micale, A. Giallanza, M. Enea, G. La Scalia. Economic assessment based on scenario analysis for the production of a new functional pasta. Journal of Food Engineering. 2018; 237 ():171-176.
Chicago/Turabian StyleR. Micale; A. Giallanza; M. Enea; G. La Scalia. 2018. "Economic assessment based on scenario analysis for the production of a new functional pasta." Journal of Food Engineering 237, no. : 171-176.
In today’s competitive global market it is mandatory to improve warehousing operations integrating economic, environmental and social aspects. The recent advancement in monitoring technologies can greatly improve the performance of the food supply chain reducing product loss. In particular, in the perishable food supply chain, initially inventory operations are critical because they manage the material flows in very variable conditions. The deterioration level of the products as well as the market demand are the main factors that can influence warehouse strategy. This research aims to consider the application of sustainability principles in the context of warehouse storage, evaluating the combined decision of implementing shelf life based picking policy and pricing strategy. In particular, the proposed approach is based on a referenced shelf life model and on the Monte Carlo simulation. Three different pricing scenarios in a case study for the management of the warehouse were defined and their Economic Traceability Lot was determined on the basis of an economic feasibility analysis. Finally, the carbon footprint for each scenario was determined in terms of emissions produced by temperature-controlled transportations and for the landfilling of product wasted.
Giada La Scalia; Rosa Micale; Pier Paolo Miglietta; Pierluigi Toma. Reducing waste and ecological impacts through a sustainable and efficient management of perishable food based on the Monte Carlo simulation. Ecological Indicators 2018, 97, 363 -371.
AMA StyleGiada La Scalia, Rosa Micale, Pier Paolo Miglietta, Pierluigi Toma. Reducing waste and ecological impacts through a sustainable and efficient management of perishable food based on the Monte Carlo simulation. Ecological Indicators. 2018; 97 ():363-371.
Chicago/Turabian StyleGiada La Scalia; Rosa Micale; Pier Paolo Miglietta; Pierluigi Toma. 2018. "Reducing waste and ecological impacts through a sustainable and efficient management of perishable food based on the Monte Carlo simulation." Ecological Indicators 97, no. : 363-371.
In the last decade, the nutritional and health benefits of Opuntia (Opuntia ficus-indica (L.) Mill.) were discussed by academic scientists and private companies. In particular, the introduction of this substance in frequently consumed foods, like, for example, pasta and bakery products, could have a wide diffusion due to its rich composition in polyphenols, vitamins, polyunsaturated fatty acids, and amino acids. The identified natural cactus compounds are responsible for biologically relevant activities including anti-inflammatory, antioxidant, hypoglycemic, antimicrobial, and neuro-protective properties. The aim of this paper is the evaluation of the best combination of Opuntia quantity and process parameters (recipe) for the production of sustainable functional pasta. The results obtained show that the new functional pasta guarantees the presence of the Opuntia quantity necessary to be considered a healthy food without altering the organoleptic and physical properties of the final product. An important indicator of a sustainable food product is its capacity to contribute to public health while maintaining a high quality of the final product. The selection of the optimal recipe was carried out by means of a multi-criteria decision-making procedure, ELECTRE III. Finally, a sensitivity analysis was conducted to assess the stability of the obtained solutions varying the ELECTRE III thresholds, showing that the results obtained are stable under uncertain conditions. Food productions are often affected by qualitative judgments in terms of physical and organoleptic properties of the final product, making the ELECTRE III particularly suitable in an industrial application in which different points of view are involved.
Rosa Micale; Antonio Giallanza; Giuseppe Russo; Giada La Scalia. Selection of a Sustainable Functional Pasta Enriched with Opuntia Using ELECTRE III Methodology. Sustainability 2017, 9, 885 .
AMA StyleRosa Micale, Antonio Giallanza, Giuseppe Russo, Giada La Scalia. Selection of a Sustainable Functional Pasta Enriched with Opuntia Using ELECTRE III Methodology. Sustainability. 2017; 9 (6):885.
Chicago/Turabian StyleRosa Micale; Antonio Giallanza; Giuseppe Russo; Giada La Scalia. 2017. "Selection of a Sustainable Functional Pasta Enriched with Opuntia Using ELECTRE III Methodology." Sustainability 9, no. 6: 885.
The reduction of environmental impact and the achievement of economic advantages based on by- product recovery is the aim of applying methodologies for phenolic compounds extraction from Olive Oil Mill Wastewater. Volume reduction of Olive Oil Mill Wastewater could generate important advan- tages in terms of waste disposal cost abatement and, in addition, reuse in the production of foods with health properties could lead to economic benefits. Despite the fact that literature shows that several techniques have been developed, few economic approaches have been presented. This paper assesses the economic feasibility of a system based on membrane filtration and reverse osmosis processes for phenolic compound extraction, considering their subsequent reuse to enrich Extra Virgin Olive Oil during the malaxation phase. In particular, an analysis of investment profitability was presented to establish the break-even point in terms of the incremental cost of olive oil enriched in polyphenols. Results confirm the sustainability of the process, showing a reduction of the waste product greater than 90%, and feasible solutions for the incremental cost of enriched Extra Virgin Olive Oil, considering a positive Net Present Value and a Payback Time not greater than four years
Giada La Scalia; Rosa Micale; Luigi Cannizzaro; Francesco Paolo Marra. A sustainable phenolic compound extraction system from olive oil mill wastewater. Journal of Cleaner Production 2017, 142, 3782 -3788.
AMA StyleGiada La Scalia, Rosa Micale, Luigi Cannizzaro, Francesco Paolo Marra. A sustainable phenolic compound extraction system from olive oil mill wastewater. Journal of Cleaner Production. 2017; 142 ():3782-3788.
Chicago/Turabian StyleGiada La Scalia; Rosa Micale; Luigi Cannizzaro; Francesco Paolo Marra. 2017. "A sustainable phenolic compound extraction system from olive oil mill wastewater." Journal of Cleaner Production 142, no. : 3782-3788.
Technologies to acquire and monitor changes in the product shelf life were described.Four different SL predictive models were considered.A simulated transport using a prototype of Smart Logistic Unit was analysed.Real time shelf life prediction system was implemented in a webGIS platform. Shelf-life (SL) prediction and Least Shelf-life First Out (LSFO) stock strategy are important factors in perishable food supply chain in order to reduce quality and economic losses.In particular, distribution represents one of the main critical phases in logistic chain management and only the introduction of monitoring procedure can allow a reduction in food losses. Literature shows several mathematical models for analysing the changes in food quality using environmental/product parameters. However, these models can be very useful decision support tools only if the abovementioned parameters can be processed in real time.This paper focuses on technologies and applications to acquire and monitor changes in product shelf life using different SL predictive models. The paper includes a case study on a simulated transportation of strawberries, using a prototype of Smart Logistic Unit equipped with a GPS module for real time positioning of the truck, a 3G connection as communication system for remote quality supervision, and a shelf life prediction algorithm based on four different models and implemented on a webGIS platform.
Rosanna Sciortino; Rosa Micale; Mario Enea; Giada La Scalia. A webGIS-based system for real time shelf life prediction. Computers and Electronics in Agriculture 2016, 127, 451 -459.
AMA StyleRosanna Sciortino, Rosa Micale, Mario Enea, Giada La Scalia. A webGIS-based system for real time shelf life prediction. Computers and Electronics in Agriculture. 2016; 127 ():451-459.
Chicago/Turabian StyleRosanna Sciortino; Rosa Micale; Mario Enea; Giada La Scalia. 2016. "A webGIS-based system for real time shelf life prediction." Computers and Electronics in Agriculture 127, no. : 451-459.
Giada La Scalia; Luca Settanni; Rosa Micale; Mario Enea. Predictive shelf life model based on RF technology for improving the management of food supply chain: A case study. International Journal of RF Technologies 2016, 7, 31 -42.
AMA StyleGiada La Scalia, Luca Settanni, Rosa Micale, Mario Enea. Predictive shelf life model based on RF technology for improving the management of food supply chain: A case study. International Journal of RF Technologies. 2016; 7 (1):31-42.
Chicago/Turabian StyleGiada La Scalia; Luca Settanni; Rosa Micale; Mario Enea. 2016. "Predictive shelf life model based on RF technology for improving the management of food supply chain: A case study." International Journal of RF Technologies 7, no. 1: 31-42.
Despite the recent interest towards food safety and control, it is generally difficult to ensure full products traceability through industrial food chains, due to the lack of efficient information and communication systems. Consequently, nowadays, the protection of food products often ends at the gates of the producer without any investigation about the status of their quality at the consumer's location. The aim of this paper was the development of a supply chain monitoring system based on a smart logistic unit (SLU) to support the integrated management of the food supply chain from “farm to fork” in order to guarantee and control food safety and shelf life (SL) of products in agreement with logistic efficiency and system sustainability. For this purpose we have conducted a research involving the selection of a perishable product significantly affected by logistic decisions, the determination of the set parameters representative of its quality and the development of a prototype of SLU, based on a sensor network for monitoring the identified parameters. Finally, an experimental SL model has been determined, based on the volatile organic compounds emitted from fruits and monitored by the SLU. We have validated the model by simulating real transport conditions and assessing the residual SL of the product at different time intervals. The practical application obtainable from our research is the development of a prototype of a smart logistic unit able to translate the acquired parameters into valuable information for supply chain management. In particular the proposed research establishes a correlation between volatile organic compounds and bacterial growth to obtain a mathematical model to predict the residual shelf life of the products and to assess the effects of vibration, caused by simulated transport. The knowledge of the residual shelf life in real time could finally be exploited for developing advanced supply chain strategies e.g., picking and transport routing policies.
G. La Scalia; A. Nasca; Onofrio Corona; L. Settanni; R. Micale. An Innovative Shelf Life Model Based on Smart Logistic Unit for an Efficient Management of the Perishable Food Supply Chain. Journal of Food Process Engineering 2015, 40, e12311 .
AMA StyleG. La Scalia, A. Nasca, Onofrio Corona, L. Settanni, R. Micale. An Innovative Shelf Life Model Based on Smart Logistic Unit for an Efficient Management of the Perishable Food Supply Chain. Journal of Food Process Engineering. 2015; 40 (1):e12311.
Chicago/Turabian StyleG. La Scalia; A. Nasca; Onofrio Corona; L. Settanni; R. Micale. 2015. "An Innovative Shelf Life Model Based on Smart Logistic Unit for an Efficient Management of the Perishable Food Supply Chain." Journal of Food Process Engineering 40, no. 1: e12311.
Mechanical damage of agricultural products is one of the main problems in the harvest and postharvest chain due to the large economic loss that the shelf life reduction could generate. Measurements of change in the chemical components of highly perishable products and microbial growth under different static and dynamic loads is the first step in the development of intelligent logistic units that could help in predicting the residual shelf life in order to minimize losses along the supply chain. In our research, the effects of vibration along the supply chain of a case study were analyzed on strawberry (Fragaria × ananassa) and woodland strawberry (Fragaria vesca) in terms of microbiological and quality assessment. Fruits were subjected to vibration in a temperature‐controlled environment, simulating the transport conditions. Microbiological and quality analyses were conducted in three different positions along the column of the crates. The results were compared with the nonvibrated strawberries stored in the same environmental conditions along the whole cold chain, showing that vibrations cause a significant decrease in the qualitative characteristics of both fruits. The practical application obtainable from our research is the development of ad hoc economically affordable sensors based on the volatile organic compounds (VOCs) emitted by the microorganisms showing the most rapid increase. The measurement of the VOCs of the dominant microorganisms could be implemented in a smart logistic unit as it provides information on the microbial evolution in real time. The research proposed configures as a first step to achieve such objective, and toward the development of a supply chain monitoring and control infrastructure relaying on the correlation of vibration phenomena with the VOCs originated by the microbiological activity. The methodology consists of measuring the effects of vibration along a reference supply chain in terms of microbiological and quality assessment, with the aim of extrapolating a mathematical correlation that can further be generalized into a replicable model.
G. La Scalia; G. Aiello; A. Miceli; A. Nasca; Antonio Alfonzo; L. Settanni. Effect of Vibration on the Quality of Strawberry Fruits Caused by Simulated Transport. Journal of Food Process Engineering 2015, 39, 140 -156.
AMA StyleG. La Scalia, G. Aiello, A. Miceli, A. Nasca, Antonio Alfonzo, L. Settanni. Effect of Vibration on the Quality of Strawberry Fruits Caused by Simulated Transport. Journal of Food Process Engineering. 2015; 39 (2):140-156.
Chicago/Turabian StyleG. La Scalia; G. Aiello; A. Miceli; A. Nasca; Antonio Alfonzo; L. Settanni. 2015. "Effect of Vibration on the Quality of Strawberry Fruits Caused by Simulated Transport." Journal of Food Process Engineering 39, no. 2: 140-156.
Tiziano Caruso; J. Rühl; Rosanna Sciortino; F. P. Marra; Giada La Scalia. Automatic detection and agronomic characterization of olive groves using high-resolution imagery and LIDAR data. SPIE Remote Sensing 2014, 92391F -92391F-14.
AMA StyleTiziano Caruso, J. Rühl, Rosanna Sciortino, F. P. Marra, Giada La Scalia. Automatic detection and agronomic characterization of olive groves using high-resolution imagery and LIDAR data. SPIE Remote Sensing. 2014; ():92391F-92391F-14.
Chicago/Turabian StyleTiziano Caruso; J. Rühl; Rosanna Sciortino; F. P. Marra; Giada La Scalia. 2014. "Automatic detection and agronomic characterization of olive groves using high-resolution imagery and LIDAR data." SPIE Remote Sensing , no. : 92391F-92391F-14.
The unequal area facility layout problem (UA-FLP) comprises a class of extremely difficult and widely applicable optimization problems arising in diverse areas and meeting the requirements for real-world applications. Genetic Algorithms (GAs) have recently proven their effectiveness in finding (sub) optimal solutions to many NP-hard problems such as UA-FLP. A main issue in such approach is related to the genetic encoding and to the evolutionary mechanism implemented, which must allow the efficient exploration of a wide solution space, preserving the feasibility of the solutions and ensuring the convergence towards the optimum. In addition, in realistic situations where several design issues must be taken into account, the layout problem falls in the broader framework of multi-objective optimization problems. To date, there are only a few multi-objective FLP approaches, and most of them employ over-simplified optimization techniques which eventually influence the quality of the solutions obtained and the performance of the optimization procedure. In this paper, this difficulty is overcome by approaching the problem in two subsequent steps: in the first step, the Pareto-optimal solutions are determined by employing Multi Objective Genetic Algorithm (MOGA) implementing four separate fitness functions within a Pareto evolutionary procedure, following the general structure of Non-dominated Ranking Genetic Algorithm (NRGA) and the subsequent selection of the optimal solution is carried out by means of the multi-criteria decision-making procedure Electre. This procedure allows the decision maker to express his preferences on the basis of the knowledge of candidate solution set. Quantitative and qualitative objectives are considered referring to the slicing-tree layout representation scheme. The numerical results obtained outperform previous referenced approaches, thus confirming the effectiveness of the procedure proposed.
Giuseppe Aiello; Giada La Scalia; Mario Enea. A non dominated ranking Multi Objective Genetic Algorithm and electre method for unequal area facility layout problems. Expert Systems with Applications 2013, 40, 4812 -4819.
AMA StyleGiuseppe Aiello, Giada La Scalia, Mario Enea. A non dominated ranking Multi Objective Genetic Algorithm and electre method for unequal area facility layout problems. Expert Systems with Applications. 2013; 40 (12):4812-4819.
Chicago/Turabian StyleGiuseppe Aiello; Giada La Scalia; Mario Enea. 2013. "A non dominated ranking Multi Objective Genetic Algorithm and electre method for unequal area facility layout problems." Expert Systems with Applications 40, no. 12: 4812-4819.
In recent years, oxygen content regulation during malaxation has been noted as a process parameter. The aim of this study was to identify the optimal time during the malaxation process of the olives of the Sicilian cultivar Nocellara del Belice when the presence of oxygen in the machine headspace activates the enzyme complex in favour of the volatile compounds, without compromising the phenolic composition. During the malaxation process, the atmosphere inside the malaxation machine was modified by blowing pure oxygen from cylinders at specific stages of the process (i.e., 5, 15, 25, and 35 min after the start of malaxation), using a system that allows the automatic and continuous maintenance of a known amount of oxygen in the headspace at a given moment during the entire process of malaxation. The results showed that under the experimental boundary conditions, malaxation carried out in an oxygen free atmosphere for the first 25 min followed by the presence of oxygen until the end of the process could enhance volatile compounds in extra virgin olive oils, without compromising the phenolic composition.
Pietro Catania; Mariangela Vallone; Felice Pipitone; Paolo Inglese; Giuseppe Aiello; Giada La Scalia. An oxygen monitoring and control system inside a malaxation machine to improve extra virgin olive oil quality. Biosystems Engineering 2013, 114, 1 -8.
AMA StylePietro Catania, Mariangela Vallone, Felice Pipitone, Paolo Inglese, Giuseppe Aiello, Giada La Scalia. An oxygen monitoring and control system inside a malaxation machine to improve extra virgin olive oil quality. Biosystems Engineering. 2013; 114 (1):1-8.
Chicago/Turabian StylePietro Catania; Mariangela Vallone; Felice Pipitone; Paolo Inglese; Giuseppe Aiello; Giada La Scalia. 2013. "An oxygen monitoring and control system inside a malaxation machine to improve extra virgin olive oil quality." Biosystems Engineering 114, no. 1: 1-8.
Giada La Scalia. Solving type-2 assembly line balancing problem with fuzzy binary linear programming. Journal of Intelligent & Fuzzy Systems 2013, 25, 517 -524.
AMA StyleGiada La Scalia. Solving type-2 assembly line balancing problem with fuzzy binary linear programming. Journal of Intelligent & Fuzzy Systems. 2013; 25 (3):517-524.
Chicago/Turabian StyleGiada La Scalia. 2013. "Solving type-2 assembly line balancing problem with fuzzy binary linear programming." Journal of Intelligent & Fuzzy Systems 25, no. 3: 517-524.
During the mechanical extraction process of Virgin Olive Oil (VOO) some important physical phenomena and enzymatic transformations occur which influence the quality of the final product. The control of process parameters is crucial to ensure the quality of VOO, therefore process monitoring and control is a fundamental requirement in the modern VOO processing industry. The present work proposes an innovative Real-Time Monitoring System (RTMS) aimed at continuously measuring the oxygen concentration during the malaxation process in order to establish a correlation with the quality of the final product obtained. This monitoring system is based on an oxygen concentration sensor directly connected to the malaxation chamber and a data acquisition system to analyze and store the measured values in a process database. The experimental results obtained show that the use of oxygen during malaxation improves some qualitative parameters of VOO such as free fatty acids and total polyphenols while others (peroxide values and spectrophotometric indexes) worsen. These results are similar to those obtained by employing nitrogen, which is the traditional technique to avoid the wellknown oxidation processes studied by several researchers, thus demonstrating that the presence of oxygen during the malaxation process can have beneficial effects on the quality of VOO when its concentration is properly controlled.Durante el proceso de extracción mecánica del aceite de oliva virgen ocurren importantes fenómenos físicos y transformaciones enzimáticas que influyen en la calidad del producto final. El control de los parámetros del proceso es crucial para garantizar la calidad del aceite de oliva virgen, por tanto la monitorización y el control del proceso son requisitos fundamentales en el moderno tratamiento industrial del aceite de oliva virgen. El presente trabajo propone un sistema de monitorización innovador en tiempo real dirigido a medir continuamente la concentración de oxígeno durante el proceso de batido de la pasta de aceituna para establecer una correlación con la calidad del producto final obtenido. El sistema de medida está basado en un sensor de concentración de oxígeno directamente conectado con la cámara de batido y un sistema de adquisición de datos dirigido a analizar y almacenar los valores medidos del proceso en una base de datos. Los resultados experimentales obtenidos demuestran que el uso de oxígeno durante el proceso de batido mejora unos parámetros cualitativos del aceite de oliva virgen como los ácidos grasos libres y los polifenoles totales mientras que otros (valor de peróxido y los índices espectrofotométricos) empeoran. Estos resultados son parecidos a los obtenidos usando nitrógeno, que es la técnica tradicional para evitar los conocidos procesos de oxidación estudiados por varios investigadores, lo que demuestra que la presencia de oxígeno durante el proceso de batido puede tener efectos provechosos en la calidad del aceite de oliva virgen, cuando la concentración sea debidamente controlada
Mariangela Vallone; G. Aiello; Pietro Catania; Mario Enea; Giada La Scalia; F. Pipitone. Real time continuous oxygen concentration monitoring system during malaxation for the production of Virgin Olive Oil. Grasas y Aceites 2012, 63, 475 -483.
AMA StyleMariangela Vallone, G. Aiello, Pietro Catania, Mario Enea, Giada La Scalia, F. Pipitone. Real time continuous oxygen concentration monitoring system during malaxation for the production of Virgin Olive Oil. Grasas y Aceites. 2012; 63 (4):475-483.
Chicago/Turabian StyleMariangela Vallone; G. Aiello; Pietro Catania; Mario Enea; Giada La Scalia; F. Pipitone. 2012. "Real time continuous oxygen concentration monitoring system during malaxation for the production of Virgin Olive Oil." Grasas y Aceites 63, no. 4: 475-483.
This paper proposes a new multi objective genetic algorithm (MOGA) for solving unequal area facility layout problems (UA-FLPs). The genetic algorithm suggested is based upon the slicing structure where the relative locations of the facilities on the floor are represented by a location matrix encoded in two chromosomes. A block layout is constructed by partitioning the floor into a set of rectangular blocks using guillotine cuts satisfying the areas requirements of the departments. The procedure takes into account four objective functions (material handling costs, aspect ratio, closeness and distance requests) by means of a Pareto based evolutionary approach. The main advantage of the proposed formulation, with respect to existing referenced approaches (e.g. bay structure), is that the search space is considerably wide and the practicability of the layout designs is preserved, thus improving the quality of the solutions obtained.
Giuseppe Aiello; Giada La Scalia; Mario Enea. A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding. Expert Systems with Applications 2012, 39, 10352 -10358.
AMA StyleGiuseppe Aiello, Giada La Scalia, Mario Enea. A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding. Expert Systems with Applications. 2012; 39 (12):10352-10358.
Chicago/Turabian StyleGiuseppe Aiello; Giada La Scalia; Mario Enea. 2012. "A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding." Expert Systems with Applications 39, no. 12: 10352-10358.