Remigio Berruto
University of Turin
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Featured researches published by Remigio Berruto.
2008 Providence, Rhode Island, June 29 - July 2, 2008 | 2008
Remigio Berruto; Patrizia Busato
The biomass logistics consists of multiple work processes intensively interlinked. The entire network operates in space and time coordinates. In this contest the feasibility is a function particularly of the logistic costs. Estimation of these costs is a complex task because the process involves the operation of a system of machines. The overall goal of this study was to present the combined use of both the simulation and linear programming models to optimize the flow of biomass from field to a power plant. The simulation predicted the overall system performance. The results from the simulation model were then used as input in the linear programming model, which chosen the best combination of equipment for each field distance and yield, in order to minimize the logistic costs, while satisfying some constraint like the number of hours available for harvest and the area to be harvested. The presented case study refers to corn silage harvest. The optimized logistic costs to harvest and delivery 7200 t of corn silo within a 5 km biomass collection radius is 22.2
2002 Chicago, IL July 28-31, 2002 | 2002
Remigio Berruto; Pietro Piccarolo
.tDM-1 while the cost raises to 34.5
Postharvest Handling (Second Edition)#R##N#A Systems Approach | 2009
Remigio Berruto; Patrizia Busato
.tDM-1 when collecting it in a range of 20 km.
Computers in Agriculture and Natural Resources, 23-25 July 2006, Orlando Florida | 2006
Patrizia Busato; Remigio Berruto
Surface color is one of the most appealing factors that influence the consumer in the purchase of fruit. To this extent large research efforts are devoted to the development of new cultivars that improve color attributes of fruits. At the present stage, for the precise quality assessment process the colorimeter only is available to provide standard color measures. However, this instrument provides just punctual information on the surface color of the fruit. The aim of this research is to develop a system able to grade fruits on the base of the whole surface of the tested sample, and so independent of the bias introduced by operator the choosing the measurement points on the fruit surface. In this way, the researchers and the operators could have at their disposal a new measurement system to grade the quality of the fruits.
2010 ASABE Annual International Meeting - American Society of Agricultural and Biological Engineers | 2010
Remigio Berruto; Patrizia Busato; Dionysis Bochtis; Claus G. Sørensen
Publisher Summary The aim of the postharvest handling of locally grown produce is to deliver quality produce to the consumer. Quality cannot be improved after harvesting; therefore it is important to harvest fruits and vegetables at the proper stage, size, and at optimal quality. Postharvest life, however, can be maintained and extended by optimized handling and reducing damage through the application of correct postharvesting techniques. Quality is the result of the interaction among many factors including produce, consumer perceptions, distribution, and postharvest handling systems. The legislation and regulations applied to the quality and safety assurance of FFVs (fresh fruits and vegetables) also have an impact on produce quality at sales point. The main issues for consumers are what product the consumer wants, and how much the consumer is willing to pay for it. Consumer expectation should be met through the implementation of adequate logistic and postharvest handling techniques. Although it is tempting to meet the needs of all consumers in a market, an effective strategy identifies those characteristics important to a distinct segment. This also applies to locally-grown FFVs. However, the logistic question remains: Whether it is possible to provide the volume requested at the right time, in the right place, in the right quality, and at the right price. The adequate postharvest handling of FFVs must account for the cultural, economic, technological, environmental, administrative, and legal context of the target market.
INTED2018 Proceedings | 2018
Alessandro Sopegno; Paolo Rota; Patrizia Busato; Remigio Berruto
Customers are asking better quality for the fresh produce, and that imply better management of the supply-chain. In the distribution of the fruit and fresh vegetable plays an important role the logistics, discipline that studies and optimises the management of the flow of products along the supply-chain. The high quality of logistic services could be achieved if the partners are aware of the supply-chain system and its behaviour in order to have an efficient response to the customer needs. A simulation game developed specifically for managers of businesses that handle fresh fruits and vegetables could help reduce losses and improve the quality of produce available to consumers (Prussia et al, 2001). The “beer game”, developed by researchers at MIT in early 60’s, shows the value of integrated supply chain management. In order to improve the supply-chain, the components of the fresh produce supply-chain were asked to play with the “beer game”. After the game, they asked for one tool specifically designed on the delivery of fresh produce. The authors designed and developed the FruitGame with an object oriented simulation language, Extend®, which implement the supply-chain typical for fresh produce, as a part of one Ph.D. research project. The model-game provides three more partners in the supply-chain vs. the “beer game”: the farmer, the final store and another wholesaler. It provides also more options to the players. They can, in the case of shortage of products, either to place bigger orders or to buy from other sources (by spending more money), or encounter loss in sales with an associated probability to loose the customer. The FruitGame track the supply-chain performance by simulating the production and distribution of each single box of fruits and vegetable. Each box has his attributes and this unique feature allow for tracking in detail the shelf-life of the fresh produce along the supply-chain. This model framework now is able to simulate networks of different products, forecasting the quality loss from packer to consumer, and allowing the testing of diverse logistic and transport solutions. New resources will be spent to make new scenarios in order to increase the shelf-life and reducing the costs.
Chemical engineering transactions | 2017
Efthymios Rodias; Remigio Berruto; Patrizia Busato; Dionysis Bochtis
The continuous development of new crops for anaerobic digestion has led to the need to manage in a rational and environmental-friendly way the distribution of the digested products that comes out of the digesting process. The EU, national, and regional regulations set the time windows when it is allowed to carry out the slurry applications and the limits on the amount of Nitrogen per hectare from livestock to be distributed in the field. The purpose of the study was to compare the use of traditional liquid slurry tanks [LST] vs. the drag hose system [DHS] in terms of application performance and operation costs. Based on the field trials carried out in 2008 and 2009 a dynamic, discrete-event simulation model using Extendsim® software (Imaginethat Inc, USA) was built. The experiments considering the following factors: field distance (1 to 10 km step 1 km), field size (2, 4, and 6 ha) and rates of Nitrogen distributed per ha, included the EU regulation limits (170 and 340 Kg N.ha-1, as were the maximum Nitrogen rates imposed by the European directive and Italian law on vulnerable and non-vulnerable soils). Slurry applied using the LST system was shown to be more economical fertilizer vs. mineral fertilizers if the transport distances were below 9 km, with an application rate of 170 kg N/ha. The DHS was shown to be more economical for all the simulated scenarios. The DHS allowed, however, a very important reduction in working time (up to 71% for 10 km pipeline) compared with the LST system, allowing covering of a large area within the available days completing the seeding operation in a timely manner.
Chemical engineering transactions | 2017
Patrizia Busato; Alessandro Sopegno; Remigio Berruto
The problem of matching production and demand of fresh fruit produce is actual, and often people do not realise the implication of this issue on supply chain performance regarding profit, food waste, and shelf life. The objective of the activity was to teach the power of matching orders and demand with production. Both production and demand have random pattern studied and validated with data from the packing industry. Production is influenced by weather and by cultivation practices (e.g. irrigation, trimming, time of harvesting). Also, fruit size varies a lot. Ordering and demand had their pattern that could be varying by channels and influenced profoundly by promotion. The authors implement a discrete event model that allows the student to perform some order and demand adaptation to match the production. Actions to modify the demand imply promotion (that double sales but decrease the profit to 20% of the typical case), finding channels for different sizes of the fruits. The model also considers lead times for product packing and transportation and show the effect of the student’s choices on supply chain performance regarding supply chain profit, food waste, and shelf life. The model work step by step over a period of 40 days, allowing day by day decision from the user and plotting demand, storage and production day by day, in a stochastic way. Through the use of the model, the user experiences the difficulties encountered in an industrial environment while trying to match production and demand of fresh, perishable products. The model interface and first students trials are presented in the paper.
7th World Congress on Computers in Agriculture Conference Proceedings, 22-24 June 2009, Reno, Nevada | 2009
Patrizia Busato; Remigio Berruto
The Effect of Distance and Field Area on Energy Balance of Switchgrass Efthymios Rodias, Remigio Berruto*, Patrizia Busato , Dionysis Bochtis Department of Agriculture, Forestry and Food Science (DISAFA), University of Turin, Largo Braccini 2, Grugliasco 10095, Italy Institute for Research and Technology Thessaly IRETETH / Centre for Research & Technology Hellas – CERTH, Dimitriados Str. 95, GR 38333, Volos, Greece remigio.berruto@unito.it
2002 Chicago, IL July 28-31, 2002 | 2002
Remigio Berruto; Pietro Piccarolo; Cristina Tortia
Biomass production systems include a number of spread fields located in a range of distances between the storage or processing facilities, multiple-crops rotations, different operational practices and various machinery systems. These aspects differentiate the cost and the energy requirements of the system. For these reasons, assessment tools based on average norms cannot provide an accurate evaluation of a specific production system in terms of cost and energy requirements. This paper is the continuation of a previous work where a web-based tool was presented for the estimation of the cost for the biomass production and transportation of multiple-crop production. In this work, the tool is extended in order to provide in addition the energy balance of the studied systems. The energy input accounting regards the whole supply chain of the biomass, including the crop cultivation, the harvesting and the handling of biomass including the transportation to the processing facilities. The inclusion of operational and agronomic parameters provides an accurate estimation of the energy requirements for a specific system allowing to calculate in detail specific energy inputs/outputs.