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Distributed, iterative algorithms operating with minimal data structure while performing little computation per iteration are popularly known as message-passing in the recent literature. Belief Propagation (BP), a prototypical message-passing algorithm, has gained a lot of attention across disciplines including communications, statistics, signal processing(More)
The long chain has been an important concept in the design of flexible processes. This design concept, as well as other sparse designs, have been applied by the automotive and other industries as a way to increase flexibility in order to better match available capacities with variable demands. Numerous empirical studies have validated the effectiveness of(More)
We formulate a Belief Propagation (BP) algorithm in the context of the capacitated minimum-cost network flow problem (MCF). Unlike most of the instances of BP studied in the past, the messages of BP in the context of this problem are piecewise-linear functions. We prove that BP converges to the optimal solution in pseudo-polynomial time, provided that the(More)
We establish a convenient necessary and sufficient condition for a multiaffine real polynomial to be stable, and use it to verify that the half-plane property holds for seven small matroids that resisted the efforts of Choe, Oxley, Sokal, and Wagner [5]. In recent years, matroid theory has found connections with certain analytic properties of real(More)
Theoretical studies of process flexibility designs had mostly focused on average-case analysis. In this paper, we take a different approach by studying process flexibility designs from a worst-case point of view. To study the worst-case performances, we introduce the so-called plant cover index, an index defined by a constrained bipartite vertex cover(More)
We study a hybrid strategy that uses both process flexibility and inventory to mitigate risks of plant disruption. In this setting, a firm allocates inventory before disruption while facing demand uncertainties; demand is realized after disruption, and the firm schedules its production using process flexibility to minimize lost sales. This interplay between(More)
For variety of applications of sensor networks like tracking, monitoring, intrusion detection, geographical routing etc, localization plays a critical role. Any information from a remote node without its location is of less use in most of these applications. For small sized nodes with limited resources and densely distributed nodes, accurate and low cost(More)
Citation Simchi-Levi, David, William Schmidt, Yehua Wei, Peter Yun Zhang, Keith Combs, Yao Ge, Oleg Gusikhin, Michael Sanders, and Don Zhang. “Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain.” Interfaces 45, no. 5 (October 2015): 375–390. As Published http://dx.doi.org/10.1287/inte.2015.0804 Publisher Institute for Operations(More)
Sparse process flexibility and long chain has became an important concept in design flexible manufacturing systems since the seminal paper of Jordan and Graves (1995). In this paper, we study the performance of long chain in comparison to all designs with at most 2n edges over n supply and n demand nodes. We show that, surprisingly, long chain is not(More)