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Prof. Antonella Meneghetti
Polytechnic Department of Engineering and Architecture (DPIA), University of Udine

Basic Info


Research Keywords & Expertise

0 Cold Chain
0 Supply Chain Design
0 Energy Efficiency and Sustainability
0 production and logistics optimization
0 warehouse design and operations

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Energy Efficiency and Sustainability
Cold Chain
Supply Chain Design

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Short Biography

After receiving her master degree in Industrial Engineering, Summa cum Laude, from University of Udine and a working period with Andersen Consulting SpA for the development of logistics software systems, she got her PhD degree in Industrial Engineering from University of Padua. She is currently associate professor in Industrial Systems Engineering at University of Udine. Main research topics: optimization models for sustainable production planning and logistics (special focus on energy-efficient design and management of automated warehouses and cold transports); energy systems optimization; energy recovery; industrial symbiosis.

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Journal article
Published: 29 July 2021 in Sustainability
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Decarbonizing the cold chain is a priority for sustainability due to the increasing demand for chilled/frozen food and pharmaceutics. Refrigerated transport requires additional fuel for refrigeration other than for traction. Photovoltaic panels on the vehicle rooftop, a battery bank, and a power conversion system can replace the diesel engine driving the transport refrigerated unit. In long-haul deliveries, vehicles cross zones with different climate conditions, which affect both refrigeration requirements and photovoltaic energy conversion. Mandatory driver’s breaks and rest also affect delivery timing and energy consumption. A multiperiod, multizone optimization model is developed to size the onboard photovoltaic system, based on features of the delivery tour. The model is applied to a palletized chilled food delivery from North-Eastern Italy, showing a payback time of around four years, which can drop under two years for expected reduction of component costs. Economic and environmental performances can be increased by also allowing refrigerated products on-board during the return journey, leading to more fuel savings. Photovoltaic-integrated long-haul delivery for frozen products is not convenient at current market costs. Different climate conditions are tested, showing the model ability to act as a decision support tool to foster renewable energy penetration into the cold chain.

ACS Style

Antonella Meneghetti; Chiara Pagnin; Patrizia Simeoni. Decarbonizing the Cold Chain: Long-Haul Refrigerated Deliveries with On-Board Photovoltaic Energy Integration. Sustainability 2021, 13, 8506 .

AMA Style

Antonella Meneghetti, Chiara Pagnin, Patrizia Simeoni. Decarbonizing the Cold Chain: Long-Haul Refrigerated Deliveries with On-Board Photovoltaic Energy Integration. Sustainability. 2021; 13 (15):8506.

Chicago/Turabian Style

Antonella Meneghetti; Chiara Pagnin; Patrizia Simeoni. 2021. "Decarbonizing the Cold Chain: Long-Haul Refrigerated Deliveries with On-Board Photovoltaic Energy Integration." Sustainability 13, no. 15: 8506.

Journal article
Published: 21 May 2021 in Energy
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Numbers of refrigerated transports are recording an impressive growth due to increased demand of chilled and frozen food. They require fuel consumption for traction, but also for feeding the diesel-driven refrigeration unit, which maintains the desired internal vehicle temperature. A photovoltaic integrated delivery process is investigated, in order to foster renewable energy penetration into the cold chain, thus improving its sustainability. It involves photovoltaic panels installed on the rooftop of semitrailers, a battery bank and a power conversion system to cover refrigeration requirements, removing the diesel engine from the refrigeration unit. A minimum cost multi-period Constraint Programming model is proposed to size the system, by matching refrigeration requirements with photovoltaic generation potential along the journey, both variable with daily and seasonal climate conditions. Application to a reference case of palletised frozen food distribution in North-Eastern Italy shows how drastic greenhouse gas emission reduction can be achieved per vehicle, with payback period expected to decrease below 2 years in the next decade. Sensitivity analysis on internal temperature for chilled food and different climate conditions, as well as the worst case analysis, are performed, confirming the capability of the model to act as a decision support tool for greening the cold chain.

ACS Style

Antonella Meneghetti; Fabio Dal Magro; Alessandro Romagnoli. Renewable energy penetration in food delivery: Coupling photovoltaics with transport refrigerated units. Energy 2021, 232, 120994 .

AMA Style

Antonella Meneghetti, Fabio Dal Magro, Alessandro Romagnoli. Renewable energy penetration in food delivery: Coupling photovoltaics with transport refrigerated units. Energy. 2021; 232 ():120994.

Chicago/Turabian Style

Antonella Meneghetti; Fabio Dal Magro; Alessandro Romagnoli. 2021. "Renewable energy penetration in food delivery: Coupling photovoltaics with transport refrigerated units." Energy 232, no. : 120994.

Journal article
Published: 26 November 2020 in Energies
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In recent years, cold food chains have shown an impressive growth, mainly due to customers life style changes. Consequently, the transportation of refrigerated food is becoming a crucial aspect of the chain, aiming at ensuring efficiency and sustainability of the process while keeping a high level of product quality. The recently defined Refrigerated Routing Problem (RRP) consists of finding the optimal delivery tour that minimises the fuel consumption for both the traction and the refrigeration components. The total fuel consumption is related, in a complex way, to the distance travelled, the vehicle load and speed, and the outdoor temperature. All these factors depend, in turn, on the traffic and the climate conditions of the region where deliveries take place and they change during the day and the year. The original RRP has been extended to take into account also the total driving cost and to add the possibility to slow down the deliveries by allowing arbitrarily long waiting times when this is beneficial for the objective function. The new RRP is formulated and solved as both a Mixed Integer Programming and a novel Constraint Programming model. Moreover, a Local Search metaheuristic technique (namely Late Acceptance Hill Climbing), based on a combination of different neighborhood structures, is also proposed. The results obtained by the different solution methods on a set of benchmarks scenarios are compared and discussed.

ACS Style

Sara Ceschia; Luca Di Gaspero; Antonella Meneghetti. Extending and Solving the Refrigerated Routing Problem. Energies 2020, 13, 6214 .

AMA Style

Sara Ceschia, Luca Di Gaspero, Antonella Meneghetti. Extending and Solving the Refrigerated Routing Problem. Energies. 2020; 13 (23):6214.

Chicago/Turabian Style

Sara Ceschia; Luca Di Gaspero; Antonella Meneghetti. 2020. "Extending and Solving the Refrigerated Routing Problem." Energies 13, no. 23: 6214.

Journal article
Published: 15 July 2019 in International Journal of Production Research
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ACS Style

Antonella Meneghetti; Sara Ceschia. Energy-efficient frozen food transports: the Refrigerated Routing Problem. International Journal of Production Research 2019, 58, 4164 -4181.

AMA Style

Antonella Meneghetti, Sara Ceschia. Energy-efficient frozen food transports: the Refrigerated Routing Problem. International Journal of Production Research. 2019; 58 (14):4164-4181.

Chicago/Turabian Style

Antonella Meneghetti; Sara Ceschia. 2019. "Energy-efficient frozen food transports: the Refrigerated Routing Problem." International Journal of Production Research 58, no. 14: 4164-4181.

Journal article
Published: 30 January 2019 in Computers & Industrial Engineering
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The production and shipment planning for Project Based Enterprises in the Curtain Walls industry is investigated in order to manage the typical trade-off between the assembly plant and the installation site requirements. Given the limited and intermittent nature of the production in large construction projects, empirical evidence is firstly provided about the impact of learning-forgetting phenomena on the assembly pace and the opportunity to include them into the planning process to generate more feasible plans and not to expose workers to excessive stress. A methodology is developed in order to assign proper values of learning-forgetting parameters to panels on the basis of features that, despite of the engineer-to-order nature of products, can survive in different projects. An optimisation model for mid-term production and shipment planning is then proposed, including learning-forgetting in cycle times, installation sequence-based restrictions, and container saturation. Costs due to idle time on the assembly line, setup, overtime, less than full load transports, and capital ones are then minimized by exploiting Constraint Programming and Large Neighborhood Search. The application of the model to an actual project has outlined its capability to support a company on both project decision-making and operational levels.

ACS Style

Eleonora Dal Borgo; Antonella Meneghetti. Production and shipment planning for Project Based Enterprises: Exploiting learning-forgetting phenomena for sustainable assembly of Curtain Walls. Computers & Industrial Engineering 2019, 131, 488 -501.

AMA Style

Eleonora Dal Borgo, Antonella Meneghetti. Production and shipment planning for Project Based Enterprises: Exploiting learning-forgetting phenomena for sustainable assembly of Curtain Walls. Computers & Industrial Engineering. 2019; 131 ():488-501.

Chicago/Turabian Style

Eleonora Dal Borgo; Antonella Meneghetti. 2019. "Production and shipment planning for Project Based Enterprises: Exploiting learning-forgetting phenomena for sustainable assembly of Curtain Walls." Computers & Industrial Engineering 131, no. : 488-501.

Journal article
Published: 06 September 2018 in IFAC-PapersOnLine
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Despite the growing importance of refrigerated food transportation and attention paid to the related sustainability issues, few studies have introduced energy efficiency to guide decision making at operational level. In this research, refrigeration loads are introduced when evaluating fuel consumption for palletized frozen food deliveries from a central refrigerated warehouse, in order to select the best route. In particular, infiltration loads during unloading operations are evaluated basing on the most recent models, as well as transmission loads both during travelling and stops at clients, taking into account changes of outdoor temperatures. A minimum fuel consumption multi-period optimisation model has been developed and solved by Constraint Programming and then applied to a local network of supermarkets. While the traditional minimum travel distance remains the best solution due to the greater impact of travel requirements on total fuel consumption with respect to refrigeration ones, a preferred direction to run the circuit has been highlighted, depending on the different outdoor temperature of time slots triggered during distribution.

ACS Style

Antonella Meneghetti; Gianluca Da Rold; Giovanni Cortella. Sustainable refrigerated food transport: searching energy efficient routes. IFAC-PapersOnLine 2018, 51, 618 -623.

AMA Style

Antonella Meneghetti, Gianluca Da Rold, Giovanni Cortella. Sustainable refrigerated food transport: searching energy efficient routes. IFAC-PapersOnLine. 2018; 51 (11):618-623.

Chicago/Turabian Style

Antonella Meneghetti; Gianluca Da Rold; Giovanni Cortella. 2018. "Sustainable refrigerated food transport: searching energy efficient routes." IFAC-PapersOnLine 51, no. 11: 618-623.

Journal article
Published: 24 April 2018 in Energies
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In the industrial food supply chain, cold storage is one of the most important processes where there is a huge but still unused potential for employing renewable energy technologies. This paper analyses how the integration of rooftop photovoltaics affects the design and performance of refrigerated automated warehouses, which are becoming the preferred choice for frozen food storage facilities. The problem is modelled and solved by means of Constraint Programming. Results for the reference case in north-eastern Italy show that photovoltaic installation can lead to both yearly total cost and energy savings. Simulations highlight how design and performance of the refrigerated automated warehouse strictly depend on supply chain decision variables. PV integration offers supply chain managers more opportunities to act on the storage temperature and the incoming product temperatures strictly related to upstream and downstream stages of the whole cold chain. Attention should be paid to system throughput, which presents an intermediate range for which the design optimization of volume and surfaces reduces the convenience of PV integration. Simulations on facility locations reveal how different climate conditions affect the economic and environmental performance of the refrigerated warehouse, as well as country specific carbon intensity and energy price.

ACS Style

Antonella Meneghetti; Fabio Dal Magro; Patrizia Simeoni. Fostering Renewables into the Cold Chain: How Photovoltaics Affect Design and Performance of Refrigerated Automated Warehouses. Energies 2018, 11, 1029 .

AMA Style

Antonella Meneghetti, Fabio Dal Magro, Patrizia Simeoni. Fostering Renewables into the Cold Chain: How Photovoltaics Affect Design and Performance of Refrigerated Automated Warehouses. Energies. 2018; 11 (5):1029.

Chicago/Turabian Style

Antonella Meneghetti; Fabio Dal Magro; Patrizia Simeoni. 2018. "Fostering Renewables into the Cold Chain: How Photovoltaics Affect Design and Performance of Refrigerated Automated Warehouses." Energies 11, no. 5: 1029.

Journal article
Published: 01 October 2017 in Energy
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To allow a better exergy exploitation than the current state-of-the-art waste heat to power solutions in the steel industry, a new type of energy recovery system based on Phase Change Materials is proposed. In particular, the use of high temperature PCMs evolves from simply smoothing off gas temperature, as in the most recent studies for energy recovery from electric arc furnaces, to generating constant superheated steam able to feed the downstream turbine nearly at nominal load. This result is achieved by introducing an auxiliary section between the PCM Section and the steam generation one, which provides the auxiliary heat needed to level the thermal content of off gas. The auxiliary heat is extracted from the PCM units by a heat transfer fluid flowing across the inner tube of each PCM container.\ud Different models to properly size and simulate the operations of the proposed energy recovery system have been developed and integrated. Results show how the size of the steam generator and the turbine can be reduced of about 41% with respect to traditional solutions, while increasing electric power production by 22% thanks to the reduced fluctuation in steam parameters at the turbine inlet, which leads to a greater overall efficiency

ACS Style

Fabio Dal Magro; Stefano Savino; Antonella Meneghetti; Gioacchino Nardin. Coupling waste heat extraction by phase change materials with superheated steam generation in the steel industry. Energy 2017, 137, 1107 -1118.

AMA Style

Fabio Dal Magro, Stefano Savino, Antonella Meneghetti, Gioacchino Nardin. Coupling waste heat extraction by phase change materials with superheated steam generation in the steel industry. Energy. 2017; 137 ():1107-1118.

Chicago/Turabian Style

Fabio Dal Magro; Stefano Savino; Antonella Meneghetti; Gioacchino Nardin. 2017. "Coupling waste heat extraction by phase change materials with superheated steam generation in the steel industry." Energy 137, no. : 1107-1118.

Journal article
Published: 01 December 2016 in Applied Energy
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ACS Style

Chuan Zhang; Li Zhou; Pulkit Chhabra; Sushant S. Garud; Kevin Aditya; Alessandro Romagnoli; Gabriele Comodi; Fabio Dal Magro; Antonella Meneghetti; Markus Kraft. A novel methodology for the design of waste heat recovery network in eco-industrial park using techno-economic analysis and multi-objective optimization. Applied Energy 2016, 184, 88 -102.

AMA Style

Chuan Zhang, Li Zhou, Pulkit Chhabra, Sushant S. Garud, Kevin Aditya, Alessandro Romagnoli, Gabriele Comodi, Fabio Dal Magro, Antonella Meneghetti, Markus Kraft. A novel methodology for the design of waste heat recovery network in eco-industrial park using techno-economic analysis and multi-objective optimization. Applied Energy. 2016; 184 ():88-102.

Chicago/Turabian Style

Chuan Zhang; Li Zhou; Pulkit Chhabra; Sushant S. Garud; Kevin Aditya; Alessandro Romagnoli; Gabriele Comodi; Fabio Dal Magro; Antonella Meneghetti; Markus Kraft. 2016. "A novel methodology for the design of waste heat recovery network in eco-industrial park using techno-economic analysis and multi-objective optimization." Applied Energy 184, no. : 88-102.

Journal article
Published: 01 November 2015 in Energy Conversion and Management
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In order to allow an efficient energy recovery from off-gas in the steel industry, the high variability of heat flow should be managed. A temperature smoothing device based on phase change materials at high temperatures is inserted into the off-gas line of a continuous charge electric arc furnace process with scrap preheating. To address overheating issues, a heat transfer fluid flowing through containers is introduced and selected by developing an analytical model. The performance of the smoothing system is analyzed by thermo-fluid dynamic simulations. The reduced maximum temperature of off-gas allows to reduce the size and investment cost of the downstream energy recovery system, while the increased minimum temperature enhances the steam turbine load factor, thus increasing its utilization. Benefits on environmental issues due to dioxins generation are also gained

ACS Style

Fabio Dal Magro; Antonella Meneghetti; Gioacchino Nardin; Stefano Savino. Enhancing energy recovery in the steel industry: Matching continuous charge with off-gas variability smoothing. Energy Conversion and Management 2015, 104, 78 -89.

AMA Style

Fabio Dal Magro, Antonella Meneghetti, Gioacchino Nardin, Stefano Savino. Enhancing energy recovery in the steel industry: Matching continuous charge with off-gas variability smoothing. Energy Conversion and Management. 2015; 104 ():78-89.

Chicago/Turabian Style

Fabio Dal Magro; Antonella Meneghetti; Gioacchino Nardin; Stefano Savino. 2015. "Enhancing energy recovery in the steel industry: Matching continuous charge with off-gas variability smoothing." Energy Conversion and Management 104, no. : 78-89.

Journal article
Published: 13 February 2015 in International Journal of Production Research
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Energy efficiency has become a primary goal to be pursued for sustainable logistics. In automated storage and retrieval systems this leads to revise the traditional control policies aimed at picking time minimisation and to pay more attention to rack configuration, which has been not a research concern from the time-based perspective. Proper models for energy calculation should be developed by introducing new factors neglected in time analysis, such as the weight of unit loads and the differentiation of shifts along the horizontal and vertical axis as regard energy requirements, due to different contribution of gravity, inertia and friction. In this study, a classification of racks based on system height is proposed in order to select the proper crane specifications needed to compute the torque to be overcome by motors to serve a given location within a rack. An overall optimisation model based on Constraint Programming hybridised with Large Neighborhood Search is developed, allowing the joint application of the best control policies for storage assignment and sequencing both for time and energy-based optimisation, as well as the introduction of multiple weight unit loads and energy recovery. Simulations analysis is performed in order to assess the impact of the rack shape on energy saving. Results show how, regardless the demand curve and the optimisation objective, the best performances in terms of energy efficiency are reached by the intermediate height rack shapes, while the lower ones outperform when considering travel time performance.

ACS Style

Antonella Meneghetti; Eleonora Dal Borgo; Luca Monti. Rack shape and energy efficient operations in automated storage and retrieval systems. International Journal of Production Research 2015, 53, 7090 -7103.

AMA Style

Antonella Meneghetti, Eleonora Dal Borgo, Luca Monti. Rack shape and energy efficient operations in automated storage and retrieval systems. International Journal of Production Research. 2015; 53 (23):7090-7103.

Chicago/Turabian Style

Antonella Meneghetti; Eleonora Dal Borgo; Luca Monti. 2015. "Rack shape and energy efficient operations in automated storage and retrieval systems." International Journal of Production Research 53, no. 23: 7090-7103.

Journal article
Published: 01 January 2015 in International Journal of Shipping and Transport Logistics
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A new decision support tool for design of automated storage and retrieval systems is proposed. With the aim of promoting sustainable solutions, both economical and environmental perspectives are taken into account by two separated models, that can so properly been used to identify effective compromises or to consider different objectives of involved stakeholders. In order to reduce the gap between design practice, market component availability and existing mathematical models, the presented tool relies on a more realistic description of the rack structure in terms of bay configurations and components. Moreover, for the first time energy consumption for crane movements is introduced, with related impacts on costs and carbon dioxide emissions. Constraint programming is adopted in order to manage non-linear objective as well as constraints functions.

ACS Style

Antonella Meneghetti; Eleonora Dal Borgo; Luca Monti. Decision support optimisation models for design of sustainable automated warehouses. International Journal of Shipping and Transport Logistics 2015, 7, 266 .

AMA Style

Antonella Meneghetti, Eleonora Dal Borgo, Luca Monti. Decision support optimisation models for design of sustainable automated warehouses. International Journal of Shipping and Transport Logistics. 2015; 7 (3):266.

Chicago/Turabian Style

Antonella Meneghetti; Eleonora Dal Borgo; Luca Monti. 2015. "Decision support optimisation models for design of sustainable automated warehouses." International Journal of Shipping and Transport Logistics 7, no. 3: 266.

Journal article
Published: 01 December 2014 in Applied Energy
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The problem of energy recovery from the electric arc furnace process of steel industry is addressed. During a tap to tap cycle, a significant part of the energy required for steel production is dissipated by the off-gas. The high variability of temperatures and flows, and the high concentration of dust, which characterize the production process, make the adoption of current energy recovery solutions quite difficult, both from the technological and the economical perspective. A new system is proposed exploiting the characteristics of phase change materials (PCM), in particular aluminum, to reduce the variability of off-gas temperatures and thermal powers, in order to allow an efficient energy recovery. The smoothing device is analyzed by thermo-fluid dynamic simulations in order to optimize its performance. A new boiler configuration equipped with cyclones is proposed to overcome also the problem of high dust content of the off-gas. The high recovery efficiencies, the low investment and operation costs and non-invasive plant modifications induced by the smoothing system, make the proposed PCM-based recovery system a feasible solution to reduce energy supply costs and emissions in the steel industry

ACS Style

Gioacchino Nardin; Antonella Meneghetti; Fabio Dal Magro; Nicole Benedetti. PCM-based energy recovery from electric arc furnaces. Applied Energy 2014, 136, 947 -955.

AMA Style

Gioacchino Nardin, Antonella Meneghetti, Fabio Dal Magro, Nicole Benedetti. PCM-based energy recovery from electric arc furnaces. Applied Energy. 2014; 136 ():947-955.

Chicago/Turabian Style

Gioacchino Nardin; Antonella Meneghetti; Fabio Dal Magro; Nicole Benedetti. 2014. "PCM-based energy recovery from electric arc furnaces." Applied Energy 136, no. : 947-955.

Articles
Published: 25 June 2014 in International Journal of Production Research
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An optimisation model for the sustainable design of refrigerated automated storage and retrieval systems is proposed, which takes into account specific features of the food supply chain, such as temperature control. Rack configuration as well as surfaces and volumes of the cold cell are conjointly optimised in order to minimise the total yearly cost of the automated storage facility, introducing energy requirements both for refrigeration and picking operations explicitly, other than investment costs. Crane plus satellite systems are modelled in order to enable deep lane solutions and space savings, as suitable for cold storage. The model allows a deep analysis of the impact of supply chain decision variables, such as the facility location, the storage temperature and the incoming product temperature on costs, energy use and carbon dioxide emissions, so that storage facilities attributes for supply chain design models can be properly assessed to re-optimise the whole cold chain. The design problem is modelled and solved by Constraint Programming in order to easily manage non-linear functions.

ACS Style

Antonella Meneghetti; Luca Monti. Greening the food supply chain: an optimisation model for sustainable design of refrigerated automated warehouses. International Journal of Production Research 2014, 53, 6567 -6587.

AMA Style

Antonella Meneghetti, Luca Monti. Greening the food supply chain: an optimisation model for sustainable design of refrigerated automated warehouses. International Journal of Production Research. 2014; 53 (21):6567-6587.

Chicago/Turabian Style

Antonella Meneghetti; Luca Monti. 2014. "Greening the food supply chain: an optimisation model for sustainable design of refrigerated automated warehouses." International Journal of Production Research 53, no. 21: 6567-6587.

Original articles
Published: 09 November 2013 in International Journal of Logistics Research and Applications
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Energy-efficient manufacturing claims for a change in warehousing operations management, moving from the traditional time-based perspective to the energy-based one. In automated storage and retrieval systems, this new approach leads to revise storage assignment policies, so that the least energy can be consumed by cranes for unit load movements. Dedicated energy-based policies and related zone shapes are analysed with particular attention to the role of unit load weight and the design option of rack stratification from floor to ceiling. Energy performance of dedicated, class-based, and random storage policies are then compared for different demand curves and rack shape. In order to enhance flexibility while maximising energy efficiency, new dynamic energy-based policies are also introduced and evaluated.

ACS Style

Antonella Meneghetti; Luca Monti. Multiple-weight unit load storage assignment strategies for energy-efficient automated warehouses. International Journal of Logistics Research and Applications 2013, 17, 304 -322.

AMA Style

Antonella Meneghetti, Luca Monti. Multiple-weight unit load storage assignment strategies for energy-efficient automated warehouses. International Journal of Logistics Research and Applications. 2013; 17 (4):304-322.

Chicago/Turabian Style

Antonella Meneghetti; Luca Monti. 2013. "Multiple-weight unit load storage assignment strategies for energy-efficient automated warehouses." International Journal of Logistics Research and Applications 17, no. 4: 304-322.

Research article
Published: 01 January 2013 in International Journal of Engineering Business Management
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Floor storage systems are used in the shoe industry to store fashion products of seasonal collections of low quantity and high variety. Since space is valuable and order picking must be sped up, stacking of shoeboxes should be optimized. The problem is modelled based on shoe features (model, type, colour, and size) and with the goal of forcing similar boxes into locations close to each other in order to improve workers' ability to retrieve orders fast. The model is encoded in Constraint Logic Programming and solved comparing different strategies, also using Large Neighbourhood Search. Simulation experiments are run to evaluate how the stacking model affects picking performance.

ACS Style

Antonella Meneghetti. Exploiting Fashion Features for Floor Storage Systems in the Shoe Industry. International Journal of Engineering Business Management 2013, 5, 24 .

AMA Style

Antonella Meneghetti. Exploiting Fashion Features for Floor Storage Systems in the Shoe Industry. International Journal of Engineering Business Management. 2013; 5 ():24.

Chicago/Turabian Style

Antonella Meneghetti. 2013. "Exploiting Fashion Features for Floor Storage Systems in the Shoe Industry." International Journal of Engineering Business Management 5, no. : 24.

Conference paper
Published: 01 January 2013 in Lecture Notes in Control and Information Sciences
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In automated storage and retrieval systems energy in descending and deceleration phases of cranes can be recovered into the power supply system instead of being dissipated as waste heat. Such technological opportunity should be exploited by properly modifying control policies in order to improve energy efficiency of warehousing operations. In this paper the impact of energy recovery on the storage assignment process is analysed. A model of energy consumption with recovery is proposed so that each location within a rack can be associated with energy required to be served in a storage or a retrieval cycle. Shape and distribution of zone for energy-based dedicated strategies are analysed. Energy and picking time performances of different storage policies when AS/RSs machines are equipped for energy recovery are analysed and compared.

ACS Style

Antonella Meneghetti; Luca Monti. How Energy Recovery Can Reshape Storage Assignment in Automated Warehouses. Lecture Notes in Control and Information Sciences 2013, 33 -40.

AMA Style

Antonella Meneghetti, Luca Monti. How Energy Recovery Can Reshape Storage Assignment in Automated Warehouses. Lecture Notes in Control and Information Sciences. 2013; ():33-40.

Chicago/Turabian Style

Antonella Meneghetti; Luca Monti. 2013. "How Energy Recovery Can Reshape Storage Assignment in Automated Warehouses." Lecture Notes in Control and Information Sciences , no. : 33-40.

Journal article
Published: 01 November 2012 in Journal of Cleaner Production
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The role of enabling industrial symbiosis can be played by a Facilities Management (FM) provider, when it embraces a district-oriented FM approach. This consists on moving from traditional solutions for single enterprises to technical solutions specifically designed for clusters of firms. As an economic actor, a FM provider naturally pursuits profitability of its services/products, and this has been highlighted by literature as a necessary condition for successful evolution towards industrial symbiosis. An optimization model has been developed as a decision support tool for a FM provider when configuring energy-based kernels of industrial symbiosis. It is applied to a case study in North-Eastern Italy to analyze feasibility of a combined heat and power system with district heating serving a cluster of firms, where different services (heating and cooling) and renewable technologies are considered in system design, and additional concentrating solar unit explicitly introduced as an option

ACS Style

Antonella Meneghetti; Gioacchino Nardin. Enabling industrial symbiosis by a facilities management optimization approach. Journal of Cleaner Production 2012, 35, 263 -273.

AMA Style

Antonella Meneghetti, Gioacchino Nardin. Enabling industrial symbiosis by a facilities management optimization approach. Journal of Cleaner Production. 2012; 35 ():263-273.

Chicago/Turabian Style

Antonella Meneghetti; Gioacchino Nardin. 2012. "Enabling industrial symbiosis by a facilities management optimization approach." Journal of Cleaner Production 35, no. : 263-273.

Original articles
Published: 09 November 2011 in Production Planning & Control
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Picking time reduction has been the traditional perspective for warehouse optimisation. When sustainability is considered, optimisation of warehouse operations should be read in terms of energy efficiency other than response time. Each location in the rack of an automated storage and retrieval system is associated with the value of energy consumed by the crane to reach it. Since picking performance strictly depends on storage location assignments, the time-based full turnover strategy is compared to the energy-based one. Three models of energy consumption are considered for traditional and new-generation cranes. Assignments are then compared in terms of dedicated zone shapes, time and energy performances within a given time horizon. Different shapes of the rack and product ABC curves are analysed. Dwell-point policies are also analysed from the new sustainable perspective, adding energy-saving performance to the traditional picking time reduction.

ACS Style

Antonella Meneghetti; Luca Monti. Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems. Production Planning & Control 2011, 24, 511 -520.

AMA Style

Antonella Meneghetti, Luca Monti. Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems. Production Planning & Control. 2011; 24 (6):511-520.

Chicago/Turabian Style

Antonella Meneghetti; Luca Monti. 2011. "Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems." Production Planning & Control 24, no. 6: 511-520.

Conference paper
Published: 03 November 2011 in Proceedings of the World Renewable Energy Congress – Sweden, 8–13 May, 2011, Linköping, Sweden
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ACS Style

Antonella Meneghetti; Luca Monti. Energy Efficient Dual Command Cycles in Automated Storage and Retrieval Systems. Proceedings of the World Renewable Energy Congress – Sweden, 8–13 May, 2011, Linköping, Sweden 2011, 57, 1668 -1675.

AMA Style

Antonella Meneghetti, Luca Monti. Energy Efficient Dual Command Cycles in Automated Storage and Retrieval Systems. Proceedings of the World Renewable Energy Congress – Sweden, 8–13 May, 2011, Linköping, Sweden. 2011; 57 ():1668-1675.

Chicago/Turabian Style

Antonella Meneghetti; Luca Monti. 2011. "Energy Efficient Dual Command Cycles in Automated Storage and Retrieval Systems." Proceedings of the World Renewable Energy Congress – Sweden, 8–13 May, 2011, Linköping, Sweden 57, no. : 1668-1675.