Search results for "DRIVE"
showing 10 items of 543 documents
Spatial Demixing of Ring and Chain Polymers in Pressure-Driven Flow
2019
We investigate mixtures of ring and linear polymers in solution at various number ratios, ranging from pure chains to pure rings, and at densities around the overlap concentration. In bulk and at r...
An integrated approach to cope with anthropogenic drivers of ecosystem change: the thermal vent case study
2022
Reactivity of bis(cyclohexylammonium) 4-nitrophenylphosphate with SnMe3 Cl. X-ray structure of 4-NO2 C6 H4 PO4(SnMe3)2·H2 O
2014
The reaction of bis(cyclohexylammonium) 4-nitrophenylphosphate with Me3 SnCl (1:2) under reflux in ethanol yielded the title compound 4-NO2 C6 H4 PO4(SnMe3)2H2 O (1). The X-ray crystallographic analysis achieved on single crystals obtained by slow evaporation at room temperature revealed the formation of an unexpected supramolecular coordination network. The elementary building block can be viewed as two Me3 Sn moieties linked by a bridging 4-nitrophenylphosphate ligand. The two tin atoms are five-coordinated and describe a trans-Me3 SnO2 geometry in a trigonal bipyramidal arrangement. However, the Sn atoms are distinct, exhibiting two different environments. Thus, one is linked to two axia…
A dynamic simulation approach to frame drivers and implications of corruption practices on firm performance
2014
Corruption is a multifaceted socio-economic phenomenon widely spread - although with different intensity - all around the world. Many studies on corruption have been conducted at a country-level, but relatively little effort has been placed in evaluating its implications, in terms of both financial and competitive performance, at a firm-level. Therefore, this paper aims at exploring the causal relationships underlying the effect of corruption on firm performance in order to show the different scenarios that may emerge from the combination between external (i.e., contextual conditions) and internal (i.e., organizational characteristics) forces that drive corruption. To this end, we adopt a D…
DEMAND DRIVEN SUPPLY CHAIN ED INNOVAZIONE: IL SISTEMA LOGISTICO-PRODUTTIVO PER LA SODDISFAZIONE DEI BISOGNI DEL CLIENTE
2008
La produzione di beni e servizi, per il soddisfacimento dei bisogni, con il oiettarsi nel tempo e nello spazio, determina incertezza e rischi in vario odo correlati a due diversi aspetti: uno di carattere tecnico inerente la ma della capacità produttiva di cui disporre, l’altro di natura più icamente economica, dovuto al fatto che i bisogni, che le produzioni sono stinate a soddisfare, si proiettano nel futuro con caratteri di significativa utabilità e variabilità2 . Anche se l’impresa dedica rilevanti risorse per la evisione della domanda, al fine di allinearla con l’offerta, non sempre iene i risultati attesi. Nonostante i cospicui investimenti, i sistemi di evisione non riescono infatti …
Kravas auto vadītāju darba un atpūtas laika ievērošanas saistība ar uzvedību uz ceļa
2019
Pētījuma mērķis bija salīdzināt kravas auto vadītāju uzvedību uz ceļa saistībā ar darba un atpūtas laika ievērošanu. Pētījuma izlases sastāvēja no 111 vīriešiem, kuri strādā par kravas auto šoferiem un izmanto kravas automašīnu darba vajadzībām, vecumā no 24 līdz 66 gadiem, vidējais vecums 45,43 gadi. Pētījuma dalībniekiem tika piedāvāts aizpildīt autovadītāju uzvedības aptauju (Drivers Behaviour Questionnaire, DBQ; Reason, Manstead, Stradling, Baxter, & Campbell, 1990), adaptāciju latviešu valodā veikuši V. Reņģe un I. Austers, 2007. Autovadītāji aizpildīja arī darba autora veidoto kravas auto vadītāju aptauju, kas iekļauj apgalvojumus, kas saistīti ar darba un atpūtas laiku. Pētījuma rezu…
Barriers to Data-Driven Decision-Making Among Online Retailers
2022
This study investigates the barriers to data-driven decision-making among online retailers. The study seeks to deepen the previous knowledge by considering data-driven decision-making as a process and identifying the critical obstacles within its different (6) stages. Qualitative interview data (N=10) collected from Finnish e-commerce professionals are analyzed. The findings show that barriers to data-driven decision-making occur at all stages during the decision-making process. The barriers are mostly related to the employees’ and the management’s expertise in collecting, organizing, analyzing, summarizing, synthesizing, and prioritizing data. In addition, attitudinal, technical, and strat…
Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space
2019
In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results. peerReviewed
Data-Driven Evolutionary Optimization: An Overview and Case Studies
2019
Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world optimization problems, however, such objective functions may not exist, instead computationally expensive numerical simulations or costly physical experiments must be performed for fitness evaluations. In more extreme cases, only historical data are available for performing optimization and no new data can be generated during optimization. Solving evolutionary optimization problems driven by data collected in simulations, physical experiments, production processes, or daily life are termed data-driven evolutionary optimization. In this…
A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem
2017
A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed