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China's exports success has implications for regional income inequality, because most of its export products are manufactured in the coastal zone. We propose a value chain-based accounting framework t...
The Symposium on Logistics & Supply Chain Management (LSCM) aims to bring together leading academic scientists, researchers and scholars to exchange and share their experiences and research results ab...
We consider a symmetric random walk on a connected graph, where each edge is labeled with the probability of transition between the two adjacent vertices. The associated Markov chain has a uniform equ...
We show how to exploit symmetries of a graph to efficiently compute the fastest mixing Markov chain on the graph (i.e., find the transition probabilities on the edges to minimize the second-largest ei...
This paper describes a generalization of the classical regenerative method of simulation output analysis. Instead of blocking a generated sample path on returns to a fixed return state, a more general...
This paper discusses some connections between adaptive Monte Carlo algorithms and general state space Markov chains. Adaptive algorithms are iterative methods in which previously generated samples are...
We introduce a new class of Monte Carlo methods, which we call exact estimation algorithms. Such algorithms provide unbiased estimators for equilibrium expectations associated with real-valued functio...
Supply chain management integrates key business processes and facilities, involving end users and suppliers that provide products, services, and information. Supply chain integration can potentially a...
The benefits of integrating and coordinating supply chain partners have been well recognized in many industries. In the construction industry, supply chain integration is technically challenging due t...
Following a similar model to the Harvard Business Review, SCMR primarily publishes columns and features contributed by business school professors, supply chain management practitioners and industry an...
We propose an efficient Markov Chain Monte Carlo method for sampling equilibrium distributions for stochastic lattice models, capable of handling correctly long and short-range particle interactions. ...
With supply chains spanning the glob e, and with increasing time-sensitivity for various pro ducts in many markets, timely deliveries are b ecoming a strategy, as imp ortant as pro ductivity, quality,...

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