Markov forecasting is a prediction method which the application in probability theory of Markov chain theory and method to study the change rules of the economic phenomenon and in order to predict the future situation. The purpose of this paper is to apply Markov chain theory to the actual market share analysis, it established Markov forecasting model of market share. This model was applied to ...

Remanufacturing has been widely adopted in the industrial sector due to carbon emission constraints and economic benefits. This paper discusses a closed-loop supply chain composed of an original equipment manufacturer (OEM), authorized remanufacturer (AR), that is licensed by OEM carry out remanufacturing activities presence strategic consumers under cap-and-trade regulations. We establish Stac...

Above redshift 6, the dominant source of neutral hydrogen in the Universe shifts from localized clumps in and around galaxies and filaments to a pervasive, diffuse component of the intergalactic medium (IGM). This transition tracks the global neutral fraction of hydrogen in the IGM and can be studied, in principle, through the redshifted 21 cm hyperfine transition line. During the last half of ...

The modern scale of data has brought new challenges to Bayesian inference. In particular, conventional MCMC algorithms are computationally very expensive for large data sets. A promising approach to solve this problem is embarrassingly parallel MCMC (EP-MCMC), which first partitions the data into multiple subsets and runs independent sampling algorithms on each subset. The subset posterior draw...

we are concerned: the number of road traffic fatalities is rising since 2014 again, in germany, in the european ::union::, in the usa, after a continuous decline over the last 40 years. many reasons are discussed:  human behaviour, e.g. texting while driving; no respect for traffic rules; daily life competition, who will be the fastest; more traffic, more vehicles, more kilometres driven. the i...

Inventory control is an important factor in reducing the operating costs of the supply chain. This study proposes using a fuzzy inventory controller to make the ordering decision for the members in a supply chain. Such a controller is expressed as a set of fuzzy rules, which allows the manager to summarize his/her experience of reasoning process as well as incorporate conventional proportional ...

An important phenomenon in supply chain management, known as the bullwhip effect, suggests that demand variability increases as one moves up a supply chain. This paper examines the influence of different replenishment policies on the occurrence of the bullwhip effect. The paper demonstrates that certain replenishment policies can in themselves be inducers of the bullwhip effect, while others in...

We are working on the construction of a Spanish-Basque (eseu) machine translation tool using the traditional transfer model based on shallow and dependency parsing. Spanish and Basque languages are very different and one of the main problems is the translation of the verb chain. We will present the features of each language verb chain, and the design of the verb chain structural transfer. We ha...

The problem of deriving the Markov chain underlying a stochastic process algebra term is addressed. Transition rate matrices are used as a convenient method for uniquely describing Markov chains. For a modiied version of the stochastic process algebra TIPP, we propose a set of new semantic rules which specify the way in which process terms are translated into their corresponding matrices. For e...

The sharing of near real-time traceability knowledge in supply chains plays a central role in coordinating business operations and is a key driver for their success. However before traceability datasets received from external partners can be integrated with datasets generated internally within an organisation, they need to be validated against information recorded for the physical goods receive...