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Eleonora Bottani
Department of Engineering and Architecture, University of Parma, Viale delle Scienze 181/A, 43124 Parma, Italy

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Journal article
Published: 08 July 2021 in Computers & Industrial Engineering
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An application of an adapted Harmony Search (HS) algorithm is proposed in this study in order to minimize manual warehouses’ pickers travel distance. Firstly, the distance matrix has been determined through a hybrid algorithm, and then HS is used to compute the pickers' travel distance, developing a MATLAB® simulation model. This model performance is tested on twenty-five scenarios, resulting from variable length of the order pick lists and different manual storage configurations. Thirty picklists are evaluated for each scenario, for a total of 750 simulations. The results provided by the algorithm, compared with those returned by a metaheuristic algorithm and two heuristic routing policies, suggest that HS provides better outputs results than the remaining algorithms. The algorithm is also very efficient from a computational perspective; as order picking is an operational decision, the short computational time allows the pickers route to be defined even in real-time if needed.

ACS Style

Eleonora Bottani; Giorgia Casella; Teresa Murino. A hybrid metaheuristic routing algorithm for low-level picker-to-part systems. Computers & Industrial Engineering 2021, 160, 107540 .

AMA Style

Eleonora Bottani, Giorgia Casella, Teresa Murino. A hybrid metaheuristic routing algorithm for low-level picker-to-part systems. Computers & Industrial Engineering. 2021; 160 ():107540.

Chicago/Turabian Style

Eleonora Bottani; Giorgia Casella; Teresa Murino. 2021. "A hybrid metaheuristic routing algorithm for low-level picker-to-part systems." Computers & Industrial Engineering 160, no. : 107540.

Journal article
Published: 23 March 2021 in Computers & Industrial Engineering
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The success of warehouse management in a supply chain widely depends on an efficient and effective retrieve of customer orders, which is known as the picking process. This paper investigates various routing policies of pickers under two different allocation methods of items in a warehouse of fixed layout, and evaluates their performance in terms of the resulting travel distance by means of a simulation approach. The allocation strategies taken into account are the random storage and a multi-criteria approach, called Interval-Value TOPSIS (IV-T), which is expressively proposed in this paper as a new way to solve the storage allocation problem of items in a warehouse. Because of the newness of the approach proposed, an ad hoc performance measure is also introduced to evaluate the effectiveness of the IV-T allocation. Results show that the usage of the IV-T approach involves interesting savings in the travel distance compared to the random allocation.

ACS Style

R. Montanari; R. Micale; E. Bottani; A. Volpi; G. La Scalia. Evaluation of routing policies using an interval-valued TOPSIS approach for the allocation rules. Computers & Industrial Engineering 2021, 156, 107256 .

AMA Style

R. Montanari, R. Micale, E. Bottani, A. Volpi, G. La Scalia. Evaluation of routing policies using an interval-valued TOPSIS approach for the allocation rules. Computers & Industrial Engineering. 2021; 156 ():107256.

Chicago/Turabian Style

R. Montanari; R. Micale; E. Bottani; A. Volpi; G. La Scalia. 2021. "Evaluation of routing policies using an interval-valued TOPSIS approach for the allocation rules." Computers & Industrial Engineering 156, no. : 107256.

Review
Published: 21 February 2021 in IET Collaborative Intelligent Manufacturing
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Logistics plays an essential role in supply chain management to plan and coordinate the movement of products in a timely, safely and effectively way. The recent term Logistics 4.0 focusses on the specific applications of Industry 4.0 in the area of logistics and was created as an integral part of the Industry 4.0 concept. This study aims to contribute to the state‐of‐the‐art about this topic by analysing and reviewing the scientific literature relating to Industry 4.0 applied to the logistics field. By means of a query on the Scopus database (www.scopus.com), 131 articles were retrieved and judged in line with the research topic. A bibliometric analysis identified the most relevant articles, authors, keywords, countries and journals on this subject. To the best of the authors' knowledge, this is the first systematic review of Logistics 4.0 using bibliometric analysis. Finally, the research gaps identified will provide a reference point that will encourage and guide interested researchers for future study.

ACS Style

Barbara Bigliardi; Giorgia Casella; Eleonora Bottani. Industry 4.0 in the logistics field: A bibliometric analysis. IET Collaborative Intelligent Manufacturing 2021, 3, 4 -12.

AMA Style

Barbara Bigliardi, Giorgia Casella, Eleonora Bottani. Industry 4.0 in the logistics field: A bibliometric analysis. IET Collaborative Intelligent Manufacturing. 2021; 3 (1):4-12.

Chicago/Turabian Style

Barbara Bigliardi; Giorgia Casella; Eleonora Bottani. 2021. "Industry 4.0 in the logistics field: A bibliometric analysis." IET Collaborative Intelligent Manufacturing 3, no. 1: 4-12.

Journal article
Published: 22 July 2020 in Sustainability
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Even though the use of simulation software packages is widespread in industrial and manufacturing companies, the criteria and methods proposed in the scientific literature to evaluate them do not adequately help companies in identifying a package able to enhance the efficiency of their production system. Hence, the main objective of this paper is to develop a framework to guide companies in choosing the most suitable manufacturing simulation software package. The evaluation framework developed in this study is based on two different multi-criteria methods: analytic hierarchy process (AHP) integrated with benefits, opportunities, costs, risks (BOCR) analysis and the best-worst method (BWM). The framework was developed on the basis of the suggestions from the literature and from a panel of experts, both from academia and industry, trying to capture all the facets of the software selection problem. For testing purposes, the proposed approach was applied to a mid-sized enterprise located in the south of Italy, which was facing the problem of buying an effective simulation software for Participatory Design. From a practical perspective, the application showed that the framework is effective in identifying the most suitable simulation software package according to the needs of the company. From a theoretical point of view, the multi-criteria methods suggested in the framework have never been applied to the problem of selecting simulation software; their usage in this context could bring some advantages compared to other decision-making tools.

ACS Style

Davide Cafasso; Cosimo Calabrese; Giorgia Casella; Eleonora Bottani; Teresa Murino. Framework for Selecting Manufacturing Simulation Software in Industry 4.0 Environment. Sustainability 2020, 12, 5909 .

AMA Style

Davide Cafasso, Cosimo Calabrese, Giorgia Casella, Eleonora Bottani, Teresa Murino. Framework for Selecting Manufacturing Simulation Software in Industry 4.0 Environment. Sustainability. 2020; 12 (15):5909.

Chicago/Turabian Style

Davide Cafasso; Cosimo Calabrese; Giorgia Casella; Eleonora Bottani; Teresa Murino. 2020. "Framework for Selecting Manufacturing Simulation Software in Industry 4.0 Environment." Sustainability 12, no. 15: 5909.

Journal article
Published: 13 July 2020 in International Journal of Food Engineering
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ACS Style

Eleonora Bottani; Francesco Longo; Giuseppe Vignali. Special issue “Selected papers from the International Food Operations & Processing Simulation Workshop”. International Journal of Food Engineering 2020, 16, 1 .

AMA Style

Eleonora Bottani, Francesco Longo, Giuseppe Vignali. Special issue “Selected papers from the International Food Operations & Processing Simulation Workshop”. International Journal of Food Engineering. 2020; 16 (5-6):1.

Chicago/Turabian Style

Eleonora Bottani; Francesco Longo; Giuseppe Vignali. 2020. "Special issue “Selected papers from the International Food Operations & Processing Simulation Workshop”." International Journal of Food Engineering 16, no. 5-6: 1.

Conference paper
Published: 01 June 2020 in 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
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Many enabling technologies of Industry 4.0 (Internet of Things “IoT”, Cloud systems, Big Data Analytics) contribute to the creation of what is the Digital Twin or virtual twin of a physical process, that is a mathematical model capable of describing the process, product or service in a precise way in order to carry out analyses and apply strategies. Digital Twin models integrate artificial intelligence, machine learning and analytics software with the data collected from the production plants to create digital simulation models that update when the parameters of the production processes or the working conditions change. This is a self-learning mechanism, which makes use of data collected from various sources (sensors that transmit operating conditions; experts, such as engineers with deep knowledge of the industrial domain; other similar machines or fleets of similar machines) and integrates also historical data relating to the past use of the machine. Starting from the virtual twin vision, simulation plays a key role within the Industry 4.0 transformation. Creating a virtual prototype has become necessary and strategic to raise the safety levels of the operators engaged in the maintenance phases, but above all the integration of the digital model with the IoT has become particularly effective, as the advent of software platforms offers the possibility of integrating real-time data with all the digital information that a company owns on a given process, ensuring the realization of the Digital Twin. In this context, this work aims at developing optimized solutions for application in a beverage pasteurization system using the Digital Twin approach, capable of creating a virtual modelling of the process and preventing high-risk events for operators.

ACS Style

Eleonora Bottani; Giuseppe Vignali; Giovanni Paolo Carlo Tancredi. A digital twin model of a pasteurization system for food beverages: tools and architecture. 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) 2020, 1 -8.

AMA Style

Eleonora Bottani, Giuseppe Vignali, Giovanni Paolo Carlo Tancredi. A digital twin model of a pasteurization system for food beverages: tools and architecture. 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). 2020; ():1-8.

Chicago/Turabian Style

Eleonora Bottani; Giuseppe Vignali; Giovanni Paolo Carlo Tancredi. 2020. "A digital twin model of a pasteurization system for food beverages: tools and architecture." 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) , no. : 1-8.

Journal article
Published: 01 May 2020 in Sustainability
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Customers’ habits, as far as shipping requests are concerned, have changed in the last decade, due to the fast spread of e-commerce and business to consumer (B2C) systems, thus generating more and more vehicles on the road, traffic congestion and, consequently, more pollution. Trying to partially solve this problem, the operational research field dedicates part of its research to possible ways to optimize transports in terms of costs, travel times, full loads etc., with the aim of reducing inefficiencies and impacts on profit, planet and people, i.e., the well-known triple bottom line approach to sustainability, also thanks to new technologies able to instantly provide probe data, which can detail information as far as the vehicle behavior. In line with this, an adapted version of the metaheuristic water wave optimization algorithm is here presented and applied to the context of the capacitated vehicle routing problem with time windows. This latter one is a particular case of the vehicle routing problem, whose aim is to define the best route in terms of travel time for visiting a set of customers, given the vehicles capacity and time constraints in which some customers need to be visited. The algorithm is then tested on a real case study of an express courier operating in the South of Italy. A nearest neighbor heuristic is applied, as well, to the same set of data, to test the effectiveness and accuracy of the algorithm. Results show a better performance of the proposed metaheuristic, which could improve the journeys by reducing the travel time by up to 23.64%.

ACS Style

Letizia Tebaldi; Teresa Murino; Eleonora Bottani. An Adapted Version of the Water Wave Optimization Algorithm for the Capacitated Vehicle Routing Problem with Time Windows with Application to a Real Case Using Probe Data. Sustainability 2020, 12, 3666 .

AMA Style

Letizia Tebaldi, Teresa Murino, Eleonora Bottani. An Adapted Version of the Water Wave Optimization Algorithm for the Capacitated Vehicle Routing Problem with Time Windows with Application to a Real Case Using Probe Data. Sustainability. 2020; 12 (9):3666.

Chicago/Turabian Style

Letizia Tebaldi; Teresa Murino; Eleonora Bottani. 2020. "An Adapted Version of the Water Wave Optimization Algorithm for the Capacitated Vehicle Routing Problem with Time Windows with Application to a Real Case Using Probe Data." Sustainability 12, no. 9: 3666.

Journal article
Published: 06 April 2020 in Procedia Manufacturing
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The demand for shorter delivery time, more efficient and automated processes, higher quality and customized products have driven companies towards the fourth industrial revolution. This study aims to contribute to the state of the art by evaluating the main application fields of Industry 4.0 and analyzing the enabling technologies used in these fields. To this end, a bibliographic analysis for Industry 4.0 was first conducted by searching relevant papers with the support of the Scopus database (www.scopus.com). Then, an overview on Industry 4.0 was performed with the purpose to deeply understand the context of this study. Finally, the attention moved on the identification of the enabling technologies and the main application areas of Industry 4.0. These latter, as they emerged from the literature, appear to be Logistics 4.0, Automotive, Smart home and Agriculture 4.0.

ACS Style

Barbara Bigliardi; Eleonora Bottani; Giorgia Casella. Enabling technologies, application areas and impact of industry 4.0: a bibliographic analysis. Procedia Manufacturing 2020, 42, 322 -326.

AMA Style

Barbara Bigliardi, Eleonora Bottani, Giorgia Casella. Enabling technologies, application areas and impact of industry 4.0: a bibliographic analysis. Procedia Manufacturing. 2020; 42 ():322-326.

Chicago/Turabian Style

Barbara Bigliardi; Eleonora Bottani; Giorgia Casella. 2020. "Enabling technologies, application areas and impact of industry 4.0: a bibliographic analysis." Procedia Manufacturing 42, no. : 322-326.

Journal article
Published: 04 February 2020 in Sustainability
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In the literature, many applications of Digital Twin methodologies in the manufacturing, construction and oil and gas sectors have been proposed, but there is still no reference model specifically developed for risk control and prevention. In this context, this work develops a Digital Twin reference model in order to define conceptual guidelines to support the implementation of Digital Twin for risk prediction and prevention. The reference model proposed in this paper is made up of four main layers (Process industry physical space, Communication system, Digital Twin and User space), while the implementation steps of the reference model have been divided into five phases (Development of the risk assessment plan, Development of the communication and control system, Development of Digital Twin tools, Tools integration in a Digital Twin perspective and models and Platform validation). During the design and implementation phases of a Digital Twin, different criticalities must be taken into consideration concerning the need for deterministic transactions, a large number of pervasive devices, and standardization issues. Practical implications of the proposed reference model regard the possibility to detect, identify and develop corrective actions that can affect the safety of operators, the reduction of maintenance and operating costs, and more general improvements of the company business by intervening both in strictly technological and organizational terms.

ACS Style

Maurizio Bevilacqua; Eleonora Bottani; Filippo Emanuele Ciarapica; Francesco Costantino; Luciano Di Donato; Alessandra Ferraro; Giovanni Mazzuto; Andrea Monteriù; Giorgia Nardini; Marco Ortenzi; Massimo Paroncini; Marco Pirozzi; Mario Prist; Elena Quatrini; Massimo Tronci; Giuseppe Vignali. Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants. Sustainability 2020, 12, 1088 .

AMA Style

Maurizio Bevilacqua, Eleonora Bottani, Filippo Emanuele Ciarapica, Francesco Costantino, Luciano Di Donato, Alessandra Ferraro, Giovanni Mazzuto, Andrea Monteriù, Giorgia Nardini, Marco Ortenzi, Massimo Paroncini, Marco Pirozzi, Mario Prist, Elena Quatrini, Massimo Tronci, Giuseppe Vignali. Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants. Sustainability. 2020; 12 (3):1088.

Chicago/Turabian Style

Maurizio Bevilacqua; Eleonora Bottani; Filippo Emanuele Ciarapica; Francesco Costantino; Luciano Di Donato; Alessandra Ferraro; Giovanni Mazzuto; Andrea Monteriù; Giorgia Nardini; Marco Ortenzi; Massimo Paroncini; Marco Pirozzi; Mario Prist; Elena Quatrini; Massimo Tronci; Giuseppe Vignali. 2020. "Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants." Sustainability 12, no. 3: 1088.

Journal article
Published: 07 January 2020 in Innovative Food Science & Emerging Technologies
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A comparative evaluation of the environmental/economic performance of High Pressure Processing (HPP) technology for food processing is made using Life Cycle Costing (LCC) and Life Cycle Assessment (LCA) methodologies. Thermal pasteurization (TP), in the form of indirect system (with energy recovery) and of retort process, and modified atmosphere packaging (MAP), are taken as benchmark during the evaluation, as traditional food processing technologies typically used to process orange juice (TP) and sliced Parma ham (MAP). Primary data on costs and consumption of HPP, TP and MAP plants were obtained from companies. Secondary data for LCA analysis was retrieved from the Ecoinvent 3.4 database and from available scientific literature. As a result of the assessment, HPP appears as more expensive than both TP processes, but turns out to have a lower environmental impact in almost all impact categories. Compared to MAP, HPP is less expensive and also has a lower impact in most of the impact categories, as MAP requires a significant amount of packaging materials and food gases. Industrial relevance: High pressure processing (HPP) is a well-known non-thermal technology, which since its introduction has had limited use, mainly due to the high cost of the electricity required for the process. Nowadays, however, new technologies in the food processing and new food product applications could make it more widely used. To correctly evaluate whether HPP technology is actually cost-effective and has low impact on the environment, detailed economic and environmental analyses have been carried out in this paper. Results are expected to enhance the use of HPP technology in industry.

ACS Style

Federica Cacace; Eleonora Bottani; Antonio Rizzi; Giuseppe Vignali. Evaluation of the economic and environmental sustainability of high pressure processing of foods. Innovative Food Science & Emerging Technologies 2020, 60, 102281 .

AMA Style

Federica Cacace, Eleonora Bottani, Antonio Rizzi, Giuseppe Vignali. Evaluation of the economic and environmental sustainability of high pressure processing of foods. Innovative Food Science & Emerging Technologies. 2020; 60 ():102281.

Chicago/Turabian Style

Federica Cacace; Eleonora Bottani; Antonio Rizzi; Giuseppe Vignali. 2020. "Evaluation of the economic and environmental sustainability of high pressure processing of foods." Innovative Food Science & Emerging Technologies 60, no. : 102281.

Research article
Published: 01 January 2020 in Production
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Paper aim The paper presents a model to assess the economic and the environmental sustainability dimensions of a fashion supply chain and tests it on a company. Originality The gap intended to fill is the lack of models in this context having this purpose, and, in general, the necessity to develop models and metrics allowing to quantitatively assess the economic and environmental dimensions of supply chains. Research method The fashion supply chain has been divided into five processes. Hence, an analytic model was developed by considering the total costs incurring in each process (economic evaluation), and the annual kilograms of CO2 emitted (environmental perspective). The model was then applied to a case study. Data was obtained from interviews with the management. Main findings Results show that from the economic perspective supply impacts the most, while from the environmental one the most polluting activity is production. Implications for theory and practice The model is easy to apply and to understand and allows to identify the activities in the supply chain where the majority of costs/emissions are generated. It is therefore expected to be useful for undertaking operational decisions aimed at decreasing the economic or environmental impact of a fashion supply chain.

ACS Style

Eleonora Bottani; Letizia Tebaldi; Isabella Lazzari; Giorgia Casella. Economic and environmental sustainability dimensions of a fashion supply chain: A quantitative model. Production 2020, 30, 1 .

AMA Style

Eleonora Bottani, Letizia Tebaldi, Isabella Lazzari, Giorgia Casella. Economic and environmental sustainability dimensions of a fashion supply chain: A quantitative model. Production. 2020; 30 ():1.

Chicago/Turabian Style

Eleonora Bottani; Letizia Tebaldi; Isabella Lazzari; Giorgia Casella. 2020. "Economic and environmental sustainability dimensions of a fashion supply chain: A quantitative model." Production 30, no. : 1.

Journal article
Published: 25 December 2019 in IFAC-PapersOnLine
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Due to the recent attention gained by sustainability issues in the context of supply chains, the aim of this study is to present a model developed under Microsoft Excel™ for the assessment of the economic and environmental dimensions of a fashion supply chain, sector that deserves particular attention being one of the most polluting in the world. The assessment of the economic dimension is made through the evaluation of the total cost incurred in each process of the supply chain, while the environmental aspect is evaluated in terms of the carbon dioxide emissions generated. Specifically, in this paper the modelling of the warehouse function is detailed. To test the effectiveness of the model a case study is carried out on a fashion company based in the North of Italy; the key results are reported in the manuscript, showing where the majority of costs and emissions are generated. Information obtained from this tool can support the company’s management in their operational decisions and show where to focus their attention to enhance the economic and environmental sustainability.

ACS Style

Eleonora Bottani; Letizia Tebaldi; Isabella Lazzari; Giorgia Casella. A model for assessing economic and environmental sustainability dimensions of a fashion supply chain and a case study. IFAC-PapersOnLine 2019, 52, 361 -366.

AMA Style

Eleonora Bottani, Letizia Tebaldi, Isabella Lazzari, Giorgia Casella. A model for assessing economic and environmental sustainability dimensions of a fashion supply chain and a case study. IFAC-PapersOnLine. 2019; 52 (13):361-366.

Chicago/Turabian Style

Eleonora Bottani; Letizia Tebaldi; Isabella Lazzari; Giorgia Casella. 2019. "A model for assessing economic and environmental sustainability dimensions of a fashion supply chain and a case study." IFAC-PapersOnLine 52, no. 13: 361-366.

Journal article
Published: 25 December 2019 in IFAC-PapersOnLine
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Based on environmental and economic factors, reverse logistics (RL) issues have attracted attention among both academia and practitioners. This study investigates the issue of economic and environmental sustainability evaluation in a food cold supply chain (FCSC), which carries out four main different processes, i.e. product collection, backroom storage, products delivery and RL. For the RL process, which is taken as an example, we have detailed the equations implemented in an analytic model to carry out the computation of the economic and environmental sustainability, while for the remaining processes, we present and discuss only the main results obtained. The model was developed under Microsoft Excel™ and is intended to assess the total cost and CO2 emissions of an important company operating as a cold chain logistics service provider. Results of the model show that the highest total cost and environmental impact are due to the product delivery process. Moreover, the results proposed indicate quite clearly the specific activity component where the FCSC managers should intervene to remove or decrease possible inefficiencies and optimize or increase the sustainability of a FCSC.

ACS Style

Eleonora Bottani; Giorgia Casella; Majcol Nobili; Letizia Tebaldi. Assessment of the economic and environmental sustainability of a food cold supply chain. IFAC-PapersOnLine 2019, 52, 367 -372.

AMA Style

Eleonora Bottani, Giorgia Casella, Majcol Nobili, Letizia Tebaldi. Assessment of the economic and environmental sustainability of a food cold supply chain. IFAC-PapersOnLine. 2019; 52 (13):367-372.

Chicago/Turabian Style

Eleonora Bottani; Giorgia Casella; Majcol Nobili; Letizia Tebaldi. 2019. "Assessment of the economic and environmental sustainability of a food cold supply chain." IFAC-PapersOnLine 52, no. 13: 367-372.

Journal article
Published: 21 November 2019 in Sustainability
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As never before, there is nowadays the will to consider alternative energy sources from renewable and waste materials so as to preserve planet and society. One of the possible elements suitable for this purpose is every day in our houses: Coffee. Or rather, spent coffee grounds. Indeed, many studies in recent years have addressed its potential exploitation, especially for biodiesel production; recent works also pointed out its possible thermal valorization for industrial processes. In light of this, this paper proposes a new sustainable use of spent coffee grounds, converted into combustible pellets; this source can then be used not only for industrial heaters, but also for public or private buildings. To this end, a feasibility study of a pellet production plant fed by waste collected by vending companies operating in the North of Italy is developed, including the logistic model supported by an Information and Communication Technology (ICT) system to help gather spent coffee grounds from the different companies and collect them into the pellet production facility.

ACS Style

Eleonora Bottani; Letizia Tebaldi; Andrea Volpi. The Role of ICT in Supporting Spent Coffee Grounds Collection and Valorization: A Quantitative Assessment. Sustainability 2019, 11, 6572 .

AMA Style

Eleonora Bottani, Letizia Tebaldi, Andrea Volpi. The Role of ICT in Supporting Spent Coffee Grounds Collection and Valorization: A Quantitative Assessment. Sustainability. 2019; 11 (23):6572.

Chicago/Turabian Style

Eleonora Bottani; Letizia Tebaldi; Andrea Volpi. 2019. "The Role of ICT in Supporting Spent Coffee Grounds Collection and Valorization: A Quantitative Assessment." Sustainability 11, no. 23: 6572.

Journal article
Published: 07 September 2019 in Computers & Industrial Engineering
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This paper outlines an integrated order picking system (OPS) design procedure for the optimization of manual picking activities and shows its practical application by means of a software tool in two case studies. The proposed OPS design procedure takes into account the factors typically suggested in literature for the optimization of the picking process, e.g. warehouse layout, item allocation policy, picking strategy and type, and routing. For each factor, the various design options are listed and described, starting again from the available literature. Then, two real cases are presented to show how the proposed approach can be applied in practice by implementing it in an ad hoc software tool designed in Microsoft Excel™. The application of the software tool allowed to evaluate the current picking performance of both companies and to test alternative configurations of their order picking process, in the attempt to improve it. In both cases, the framework proved to be effective to redesign the picking process and allowed deriving practical suggestions for the optimization of the process.

ACS Style

Eleonora Bottani; Andrea Volpi; Roberto Montanari. Design and optimization of order picking systems: An integrated procedure and two case studies. Computers & Industrial Engineering 2019, 137, 106035 .

AMA Style

Eleonora Bottani, Andrea Volpi, Roberto Montanari. Design and optimization of order picking systems: An integrated procedure and two case studies. Computers & Industrial Engineering. 2019; 137 ():106035.

Chicago/Turabian Style

Eleonora Bottani; Andrea Volpi; Roberto Montanari. 2019. "Design and optimization of order picking systems: An integrated procedure and two case studies." Computers & Industrial Engineering 137, no. : 106035.

Journal article
Published: 23 July 2019 in Sustainable Production and Consumption
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This paper proposes an economic/environmental evaluation of several reverse logistics scenarios for collecting packaged food waste from the retail chain of Emilia-Romagna region (Italy), shipping it to a set of distribution centres for storage and to a treatment facility for reprocessing, with the aim to divert it from disposal of in landfill sites to alternative channels. The economic analysis employs a theoretical model developed in a previous study, which determines the optimal number of facilities in the network and the routing of vehicles that will visit the retail stores to collect the wasted food, returning the total logistics cost as output. Compared to the previous study, in this paper the real location of the stores is taken into account in the assessment. An environmental analysis is also carried out using the life cycle assessment methodology. The results show that collecting the whole amount of wasted food, although expensive in terms of transport cost, is the preferable option in environmental terms.

ACS Style

Eleonora Bottani; Giuseppe Vignali; David Mosna; Roberto Montanari. Economic and environmental assessment of different reverse logistics scenarios for food waste recovery. Sustainable Production and Consumption 2019, 20, 289 -303.

AMA Style

Eleonora Bottani, Giuseppe Vignali, David Mosna, Roberto Montanari. Economic and environmental assessment of different reverse logistics scenarios for food waste recovery. Sustainable Production and Consumption. 2019; 20 ():289-303.

Chicago/Turabian Style

Eleonora Bottani; Giuseppe Vignali; David Mosna; Roberto Montanari. 2019. "Economic and environmental assessment of different reverse logistics scenarios for food waste recovery." Sustainable Production and Consumption 20, no. : 289-303.

Journal article
Published: 13 May 2019 in Industrial Management & Data Systems
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Purpose The purpose of this paper is to propose an artificial intelligence-based framework to support decision making in wholesale distribution, with the aim to limit wholesaler out-of-stocks (OOSs) by jointly formulating price policies and forecasting retailer’s demand. Design/methodology/approach The framework is based on the cascade implementation of two artificial neural networks (ANNs) connected in series. The first ANN is used to derive the selling price of the products offered by the wholesaler. This represents one of the inputs of the second ANN that is used to anticipate the retailer’s demand. Both the ANNs make use of several other input parameters and are trained and tested on a real wholesale supply chain. Findings The application of the ANN framework to a real wholesale supply chain shows that the proposed methodology has the potential to decrease economic loss due to OOS occurrence by more than 56 percent. Originality/value The combined use of ANNs is a novelty in supply chain operation management. Moreover, this approach provides wholesalers with an effective tool to issue purchase orders according to more dependable demand forecasts.

ACS Style

Eleonora Bottani; Piera Centobelli; Mosé Gallo; Mohamad Amin Kaviani; Vipul Jain; Teresa Murino. Modelling wholesale distribution operations: an artificial intelligence framework. Industrial Management & Data Systems 2019, 119, 698 -718.

AMA Style

Eleonora Bottani, Piera Centobelli, Mosé Gallo, Mohamad Amin Kaviani, Vipul Jain, Teresa Murino. Modelling wholesale distribution operations: an artificial intelligence framework. Industrial Management & Data Systems. 2019; 119 (4):698-718.

Chicago/Turabian Style

Eleonora Bottani; Piera Centobelli; Mosé Gallo; Mohamad Amin Kaviani; Vipul Jain; Teresa Murino. 2019. "Modelling wholesale distribution operations: an artificial intelligence framework." Industrial Management & Data Systems 119, no. 4: 698-718.

Journal article
Published: 09 May 2019 in Computers & Industrial Engineering
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This paper addresses the Resilient Food Supply Chain Design (RFSCD) problem, which is the problem of designing a food supply chain that is resilient enough to ensure business operations continuity in the event of risks or disruptions. Based on a graph theory representation of the food supply chain, this paper proposes a bi-objective mixed-integer programming formulation for this problem. The objectives are to (1) maximize the total profit over a one-year time span and (2) minimize the total lead time of the product along the supply chain. To solve the model, an Ant Colony Optimization (ACO) algorithm is presented. The developed model is suitable for adoption for the design of a multi-product resilient FSC that makes use of a multiple sourcing policy to deal with unexpected fluctuations of market demand and disruptions in raw materials supply. The adapted ACO algorithm is tested on a case study, referring to the SC of readymade UHT tomato sauce, which is particularly vulnerable to such risks.

ACS Style

Eleonora Bottani; Teresa Murino; Massimo Schiavo; Renzo Akkerman. Resilient food supply chain design: Modelling framework and metaheuristic solution approach. Computers & Industrial Engineering 2019, 135, 177 -198.

AMA Style

Eleonora Bottani, Teresa Murino, Massimo Schiavo, Renzo Akkerman. Resilient food supply chain design: Modelling framework and metaheuristic solution approach. Computers & Industrial Engineering. 2019; 135 ():177-198.

Chicago/Turabian Style

Eleonora Bottani; Teresa Murino; Massimo Schiavo; Renzo Akkerman. 2019. "Resilient food supply chain design: Modelling framework and metaheuristic solution approach." Computers & Industrial Engineering 135, no. : 177-198.

Review article
Published: 06 April 2019 in Journal of Cleaner Production
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Warehouses are major contributors to the rise of greenhouse gas emissions in supply chains. Thus, it is not surprising that the attention of academic research to green and sustainable warehousing has been growing in recent years. This attention has led to an increasing number of publications in this field, which is why a systematic literature review on the topic of green warehousing is proposed in the paper at hand. This work provides a comprehensive overview and classification of the existing research on green warehousing, summarizes and synthesizes the available knowledge on this topic, and identifies key trends. Based on the evaluation of the literature, promising ideas for future research are proposed. Citation and network analyses are carried out to evaluate the relationships among the topics covered. The results show an increasing interest in sustainability topics within the warehousing literature, where energy saving has been the most frequently studied objective, followed by environmental impact of warehouse buildings, and green warehouse management in general. The green warehousing literature, however, lacks case studies and empirical data. The main contribution of this paper is an exhaustive summary of the state of knowledge on green warehousing in terms of the macro-themes addressed, the specific topics investigated and the methodological approaches, including a comprehensive and systematic classification of the relevant literature. An outline of managerial guidelines about green warehouse management and the propositions of future research ideas contribute to the further development of this emerging research field.

ACS Style

Maicol Bartolini; Eleonora Bottani; Eric H. Grosse. Green warehousing: Systematic literature review and bibliometric analysis. Journal of Cleaner Production 2019, 226, 242 -258.

AMA Style

Maicol Bartolini, Eleonora Bottani, Eric H. Grosse. Green warehousing: Systematic literature review and bibliometric analysis. Journal of Cleaner Production. 2019; 226 ():242-258.

Chicago/Turabian Style

Maicol Bartolini; Eleonora Bottani; Eric H. Grosse. 2019. "Green warehousing: Systematic literature review and bibliometric analysis." Journal of Cleaner Production 226, no. : 242-258.

Review
Published: 22 February 2019 in IISE Transactions
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The aim of this paper is to analyze and review the scientific literature relating to the application of Augmented Reality (AR) technology in industry. AR technology is becoming increasingly diffuse due to the ease of application development and the widespread use of hardware devices (mainly smartphones and tablets) able to support its adoption. Today, a growing number of applications based on AR solutions are being developed for industrial purposes. Although these applications are often little more than experimental prototypes, AR technology is proving highly flexible and is showing great potential in numerous areas (e.g. maintenance, training/learning, assembly or product design) and in industrial sectors (e.g. the automotive, aircraft or manufacturing industries). It is expected that AR systems will become even more widespread in the near future. The purpose of this review is to classify the literature on AR published from 2006 to early 2017, identify the main areas and sectors where AR is currently deployed, describe the technological solutions adopted as well as the main benefits achievable with this kind of technology.

ACS Style

Eleonora Bottani; Giuseppe Vignali. Augmented reality technology in the manufacturing industry: A review of the last decade. IISE Transactions 2019, 51, 284 -310.

AMA Style

Eleonora Bottani, Giuseppe Vignali. Augmented reality technology in the manufacturing industry: A review of the last decade. IISE Transactions. 2019; 51 (3):284-310.

Chicago/Turabian Style

Eleonora Bottani; Giuseppe Vignali. 2019. "Augmented reality technology in the manufacturing industry: A review of the last decade." IISE Transactions 51, no. 3: 284-310.