1,721,034 research outputs found
Metodologie di supporto per lo sviluppo di nuovi prodotti per le piccole e medie imprese
Limited Flexibility in Cellular Manufacturing Systems: A Simulation Study
Cellular manufacturing systems (CMSs) can be strongly affected by uncertainty. In this paper, some effects of the demand variability and resource dependability on the performance of a CMS are investigated. The use of routing flexibility is considered to search CMS configurations that optimize system performance. Referring to the concept of limited flexibility, a simulation model is proposed to analyze costs and benefits of routing flexibility in a CMS. Three problems are addressed and some results, in terms of cost and system performance, are provided by examples
What is the most profitable targeting strategy from mass marketing to personalization? Results from a simulation in tourism
Scholars know that setting the right target, from the aggregated market to personalization, raises a cost-benefit trade-off, but we found little research on this topic. Personalization is very popular, but it may be costly. Using broader market segments can be affordable but less accurate. We did a simulation analysis in the tourism industry based on a case-study. We compared the profits of four different targets, aggregated market, large segments, micro-segments, individuals, in different conditions by varying consumers' attitudes, price, and scale/scope economies. Our findings show that micro-segmentation is the most profitable strategy on average, but the comparison strongly depends on the business conditions
Knowledge Transfer and Inter-Firm Relationship: The role of the Leader Firm
In the literature, knowledge transfer is widely emphasised as a strategic issue for firm competition. In the paper, the knowledge transfer is investigated referring to customer-supplier relationships in industrial districts. The knowledge transfer process is described and a framework is provided to define the main components of the process. A model is proposed to analyse how a leader firm of an industrial district can modify the knowledge nature and adopt different types of supply relationship to increase the effectiveness of knowledge transfer. The model stresses that, when the knowledge transfer has to be fast and reliable between customer and supplier, knowledge has to be codified. However, as the codification level increases, knowledge can be easily shared with other district competitors. Then, the leader firm can try to control the knowledge transfer also by the reduction of the number of suppliers. Referring to the case of an industrial district, some considerations are made to show the practical implications of the knowledge control by the district leader firm
Topsøeite, FEF3(H2o)3, a new fumarolic mineral from the Hekla Volcano, Iceland
The new mineral topsøeite, FeF3(H2O)3, was found as a fumarolic product after the 1991 eruption of Hekla, Iceland. The mineral occurs as up to 20 mm large square-prismatic crystals forming occasional stepped aggregates or massive, up to 100 mm wide veins, in association with several other fluorides, hematite and opal. The experimental formula of the mineral (from scanning electron microscope energy-dispersive spectrometry data) is Fe(F2.94Cl0.04)S2.98(H2O)1.94. The deficiency of water in the formula is most probably an artefact due to experimental limitations and not a sign of dehydration. The mineral is yellow, with a calculated density of 2.330 g·cm-3, based on the ideal formula. It is tetragonal (P4/n) with a = 7.8381(3) Ǻ, c = 3.8674(1) Ǻ, V = 237.60(2) Ǻ3. The strongest eight powder diffraction lines are [d in A (relative intensity) (hkl)]: 5.55 (100) (1 1 0); 3.92 (43) (0 2 0); 3.47 (39) (0 1 1); 3.17 (22) (1 1 1); 2.77 (30) (2 2 0); 2.479 (31) (1 3 0, 3 1 0); 1.877 (16) (0 1 2), 1.753 (24) (2 4 0, 4 2 0). Rietveld refinement of the powder diffraction data confirmed the identity of topsøeite with synthetic b-FeF3(H2O)3. The crystal structure consists of straight infinite chains of [FeF4(H2O)2] octahedra extending along the c axis. The adjacent octahedra share apical F atoms, whereas the four unshared, equatorially coordinated atoms are represented by a disordered arrangement of two F and two O atoms from water molecules. Additional water molecules occupy the spaces between chains and are tetrahedrally coordinated by four (F, H2O) from four different chains binding them together via hydrogen bonds. Topsøeite is isostructural with rosenbergite, AlF3(H2O)3. Both minerals have rhombohedral polymorphs known from studies of phase systems. The polymorph of topsøeite (UM2008-27-F:AlHO), earlier supposed to be aluminium fluoride hydrate, was also found in Hekla fumaroles from the 1991 eruption, but its genetic relation with topsøeite remains unclear. Topsøeite is named after the family of Danish prominent scientists and industrialists including Haldor Topsøe the elder (1842–1935), Haldor Topsøe the younger (1913–2013) and Henrik Topsøe (1944)
A metric for measuring knowledge codification in organisation learning
In the management literature, even if knowledge has been recognised as a critical resource for the competitive success of firms,
only a few studies have proposed operative approaches to analyse the effect of the transformation of the type of knowledge on
system performance. In this paper, a definition of knowledge is provided to support an operative classification of the type of
knowledge. A metric is proposed to measure different knowledge codification levels. This metric is useful for supporting the learning
processes in the organisation. A case example dealing with the knowledge codification of a specific phase of a real production
system, i.e. leather cutting in sofa production, is discussed
Organization and Technology in Knowledge Transfer
Knowledge transfer is recognized as a fundamental issue for organizations. This research aims at investigating the knowledge transfer process, and finding out the most efficient and effective strategies to support it. Particularly, the research is focused on studying support strategies based on the use of technology. The paper proposes a model that describes both knowledge acquisition and practice. The model components are the actors' cognitive systems, the processes of codification and interpretation, and the object transferred. The model predicts that a better understanding of knowledge transfer can be achieved by distinguishing organizational similarity from dissimilarity, training from fertilization, and autonomous from interactive practice. This is particularly helpful to discuss what the role and value of technology are in supporting knowledge transfer in organizations effectively
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