Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization

Abstract This paper presents the first results of an agent-based model aimed at solving a Capacitated Vehicle Routing Problem (CVRP) for inbound logistics using a novel Ant Colony Optimization (ACO) algorithm, developed and implemented in the NetLogo multi-agent modelling environment. The proposed methodology has been applied to the case study of a freight transport and logistics company in South Italy in order to find an optimal set of routes able to transport palletized fruit and vegetables from different farms to the main depot, while minimizing the total distance travelled by trucks. Different scenarios have been analysed and compared with real data provided by the company, by using a set of key performance indicators including the load factor and the number of vehicles used. First results highlight the validity of the method to reduce cost and scheduling and provide useful suggestions for large-size operations of a freight transport service

Correction to: Improving inbound logistic planning for large-scale real-world routing problems: a novel ant-colony simulation-based optimization

An amendment to this paper has been published and can be accessed via the original article

Bioplastic from Renewable Biomass: A Facile Solution for a Greener Environment

AbstractEnvironmental pollutions are increasing day by day due to more plastic application. The plastic material is going in our food chain as well as the environment employing microplastic and other plastic-based contaminants. From this point, bio-based plastic research is taking attention for a sustainable and greener environment with a lower footprint on the environment. This evaluation should be made considering the whole life cycle assessment of the proposed technologies to make a whole range of biomaterials. Bio-based and biodegradable bioplastics can have similar features as conventional plastics while providing extra returns because of their low carbon footprint as long as additional features in waste management, like composting. Interest in competitive biodegradable materials is growing to limit environmental pollution and waste management problems. Bioplastics are defined as plastics deriving from biological sources and formed from renewable feedstocks or by a variation of microbes, owing to the ability to reduce the environmental effect. The research and development in this field of bio-renewable resources can seriously lead to the adoption of a low-carbon economy in medical, packaging, structural and automotive engineering, just to mention a few. This review aims to give a clear insight into the research, application opportunities, sourcing and sustainability, and environmental footprint of bioplastics production and various applications. Bioplastics are manufactured from polysaccharides, mainly starch-based, proteins, and other alternative carbon sources, such as algae or even wastewater treatment byproducts. The most known bioplastic today is thermoplastic starch, mainly as a result of enzymatic bioreactions. In this work, the main applications of bioplastics are accounted. One of them being food applications, where bioplastics seem to meet the food industry concerns about many the packaging-related issues and appear to play an important part for the whole food industry sustainability, helping to maintain high-quality standards throughout the whole production and transport steps, translating into cleaner and smarter delivery chains and waste management. High perspectives resides in agricultural and medical applications, while the number of fields of applications grows constantly, for example, structural engineering and electrical applications. As an example, bio-composites, even from vegetable oil sources, have been developed as fibers with biodegradable features and are constantly under research

Effect of the Degree of Polymerization of Inulin on the Rate of Hydrolysis Using Immobilized Inulinase

U ovom su radu istražene dvije glavne značajke važne za razvoj industrijske proizvodnje fruktoze enzimskom hidrolizom inulina: uporaba imobiliziranog biokatalizatora za hidrolizu sirovog ekstrakta korijena cikorije, te procjena utjecaja stupnja polimerizacije inulina na ukupnu brzinu reakcije. Kao imobilizirani biokatalizator upotrijebljena je inulinaza kovalentno vezana na podlogu Sepabeads®. Aktivnost je katalizatora bila znatno veća na sirovom ekstraktu inulina (realni uzorak) nego na čistom inulinu (sintetska otopina). Eksperimentalno je dokazano da je pri praktičnoj primjeni stvarnog supstrata aktivnost imobiliziranog enzima bila čak 63 % aktivnosti ukupnog slobodnog enzima u homogenoj otopini, što može biti poticaj za industrijsku primjenu ovog imobiliziranog enzima. Stoga je ispitan utjecaj čistog i sirovog supstrata na kinetiku reakcije katalizirane imobiliziranim enzimom, te je utvrđeno da se ovisnost brzine reakcije o koncentraciji supstrata, tj. čistog (velike molekularne mase) i sirovog (male molekularne mase) inulina, može opisati Michaelis-Mentenovom jednadžbom. Zanimljivi su podaci dobiveni usporedbom vrijednosti Km i vmax. Povećanjem stupnja polimerizacije supstrata smanjila se vrijednost vmax, a povećala vrijednost Km. Nakon procjene koeficijenta prijenosa tvari zaključeno je da je uzrok tome različit stupanj polimerizacije inulina, jer je afinitet enzima bio veći prema inulinu manje molekularne mase.The present paper addresses two crucial features in the industrial development of fructose production by enzymatic hydrolysis of inulin: the use of immobilized biocatalyst in the hydrolysis of crude extracts of chicory roots and the evaluation of the effect of degree of polymerization of inulin on the overall reaction rate. The immobilized biocatalyst consisted of inulinase covalently bound to Sepabeads® supports. It was demonstrated that its catalytic activity towards crude inulin extract (real substrate) was much higher than that exhibited towards pure inulin (synthetic solution). Experiments revealed that, in applications of practical interest with real substrate, the activity of immobilized enzyme was as high as 63 % of that of free enzyme in homogeneous solution. This certainly was a driving force to potential industrial application of this immobilized enzyme preparation. Therefore, the effect of pure and crude substrates on the kinetics of the reaction catalysed by the immobilized enzyme was investigated. The kinetic analysis revealed a Michaelis-Menten dependence of the reaction rate on substrate concentration for both pure (high molecular mass) and crude (low molecular mass) inulin. Interesting results were derived from the comparison of Km and vmax values in the two cases. In particular, it was found that increasing degree of polymerization of the substrate caused vmax decrease and Km increase. After evaluation of mass transport effects, this was mainly associated with a different substrate/ enzyme affinity when exploiting inulin characterized by different (low or high) degree of polymerization

Fructose Production by Inulinase Covalently Immobilized on Sepabeads in Batch and Fluidized Bed Bioreactor

The present work is an experimental study of the performance of a recently designed immobilized enzyme: inulinase from Aspergillus sp. covalently immobilized on Sepabeads. The aim of the work is to test the new biocatalyst in conditions of industrial interest and to assess the feasibility of the process in a fluidized bed bioreactor (FBBR). The catalyst was first tested in a batch reactor at standard conditions and in various sets of conditions of interest for the process. Once the response of the catalyst to different operating conditions was tested and the operational stability assessed, one of the sets of conditions tested in batch was chosen for tests in FBBR. Prior to reaction tests, preliminary fluidization tests were realized in order to define an operating range of admissible flow rates. As a result, the FBR was run at different feed flow rates in a closed cycle configuration and its performance was compared to that of the batch system. The FBBR proved to be performing and suitable for scale up to large fructose production

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Processi di trattamento di reflui e materiali di scarto

Dottorato di Ricerca in Scienze della Vita. Ciclo XXIXUniversità della Calabria

Neural and Hybrid Modeling: An Alternative Route to Efficiently Predict the Behavior of Biotechnological Processes Aimed at Biofuels Obtainment

The present paper was aimed at showing that advanced modeling techniques, based either on artificial neural networks or on hybrid systems, might efficiently predict the behavior of two biotechnological processes designed for the obtainment of second-generation biofuels from waste biomasses. In particular, the enzymatic transesterification of waste-oil glycerides, the key step for the obtainment of biodiesel, and the anaerobic digestion of agroindustry wastes to produce biogas were modeled. It was proved that the proposed modeling approaches provided very accurate predictions of systems behavior. Both neural network and hybrid modeling definitely represented a valid alternative to traditional theoretical models, especially when comprehensive knowledge of the metabolic pathways, of the true kinetic mechanisms, and of the transport phenomena involved in biotechnological processes was difficult to be achieved

Discontinuous and continuous fructose production from chicory inulin hydrolysis by covalently immobilized enzymes

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