1,721,128 research outputs found
Strumenti di integrazione e misurazione per il Supply Chain Management: sistemi di coordinamento e collaborazione virtuale
Full text linkDario Amodio, Domenico Falcone, Loredano Sant
Computerized Maintenance Management Systems: benefici e limiti delle attuali applicazioni e prospettive future
No full textMultistage bilateral bargaining model with incomplete information – a fuzzy approach
No full textThe study proposes the implementation of an intermediation model in supply chain environment integrating game theory and fuzzy logic, to represent the characteristic aspects of a bilateral bargaining with incomplete information, where the supplier – customer relationship are indirectly managed by a third party agent.
The choice of combining these theories comes out from the necessity of smoothing the peculiar elements of the two analysis tools that, in describing real situation, present many potentialities of reciprocal adaptation. The scope is to combine a formal structure that could figure out the interrelations among actors involved in a strategic decisional context, with a mathematical elaboration of natural imprecision, uncertainty and incompleteness of available data and information.
The model derives from the theoretic foundation of Spulber (1999) and Rubinstein (1982) that, compared to the classical framework of asymmetric information and bid-spread problem by Harsanyi (1967), describe the process through the definition of new parameters such as bargaining power and breakdown probability. The contribute to the research is enriched by fuzzyfication process of data, considering Feng et al. (2005) experiences, to build an architecture that could transform inputs related to the transaction itself, agents and markets in an output that could regulate the possible concessions and the opportunity of accepting or refusing an offer
Sistemi di gestione integrati per la manutenzione: la pianificazione secondo i principi del Quality Management
No full textMultistage bilateral bargaining model with incomplete information-A fuzzy approach
No full textThe study proposes the implementation of an intermediation model in supply chains, integrating game theory and fuzzy logic, to represent the characteristic aspects of a bilateral bargaining with incomplete information where supplier–customer relationships are indirectly managed by a third party agent. The choice of combining these theories comes out from the necessity of smoothing the peculiar elements of the two analysis tools that, in describing real situations, present many potentialities of reciprocal adaptation. The scope is to combine a formal structure that could figure out the interrelations among actors involved in a strategic decisional context, with a mathematical elaboration of natural imprecision, uncertainty and incompleteness of data and information. The model derives from the theoretic foundation of Spulber [1999. Market Microstructure. Cambridge University Press, Cambridge, UK] and Rubinstein [1982. Perfect equilibrium in a bargaining model. Econometrica 50(1), 97–109] that, compared to the classical framework of asymmetric information and bid-spread problem by Harsanyi [1967. Games with incomplete information played by “Bayesian” players. I. The basic model. Management Science 14, 159–182], describe the process through the definition of new parameters such as bargaining power and breakdown probability. The contribution to the research is enriched by fuzzyfication process of data, considering Qi et al. [2005. Design retrieval technology of fuzzy customer requirements. In: World Congress on Mass Customization and Personalization] experiences, to build a framework that could transform inputs from the transaction, agents and market in an output that could regulate the possible concessions and the opportunity of accepting or refusing an offer
Analysis of demand variability patterns through neural network
No full textThe paper illustrates the design and implementation process of a neural network to identify characteristic patterns of variability in a demand signal, extracting peculiar and critical elements. The starting assumption comes out from an analogy with the behaviour of general manufacturing and industrial processes. With this statement, it was possible to develop classical statistical process control tools to compile X-R charts, defining the progress of average and dispersion value of the demand. The introduction of a decision support system, a Multi-Layer Perceptron neural network, helps the operators to identify common and special causes of variability and gives an hint to plan specific market analysis to better understand customer’s behaviour. In particular, after being trained to recognize a set of formal process patterns, the architecture classifies a recognition window of data to identify the existence of dominant or influent effects on the demand signal
L'ottimizzazione del processo produttivo tramite l'applicazione della teoria dei vincoli in un'azienda automotive
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