The damage resistance cyber-physical system (CPS) has gained growing attention in research communities. Recent studies typically describe a system's resistance to shock damage using a constant factor ranging from ...
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We describe a stochastic network interdiction model for locating sensors that detect nuclear material. A nuclear material smuggler selects a path through a transportation network that maximizes the probability of avoi...
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We describe a stochastic network interdiction model for locating sensors that detect nuclear material. A nuclear material smuggler selects a path through a transportation network that maximizes the probability of avoiding detection. An interdictor installs sensors to minimize that maximum probability. We formulate this problem as a bi-level stochastic mixed-integer program, and then focus on a special case in which the underlying network is bipartite. We show that a class of valid inequalities, called step inequalities, can significantly reduce computational effort.
This paper explores two important themes in the implementation of RFID in supply chain management: (1) analyzing differences between actual (perceived) and potential (expected) key benefits to see if there are benefit...
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ISBN:
(纸本)9781424472956
This paper explores two important themes in the implementation of RFID in supply chain management: (1) analyzing differences between actual (perceived) and potential (expected) key benefits to see if there are benefit shortfalls for the key performances;and (2) performing a two-dimensional expectation- perception analysis (EPA) for the purpose of identifying competitive niche and strategically allocating and adjusting the company's resources. Empirical data were collected through surveys of executives of selected Taiwan based companies who had experienced RFID adoption in the supply chain practices. Finally, managerial implications and suggestions were provided for companies and industries that may be considering the adoption of RFID in SCM.
This paper presents an extension of Naor's analysis on the join-or-balk problem in observable M/M/1 queues. While all other Markovian assumptions still hold, we explore this problem assuming uncertain arrival rate...
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We study two-stage stochastic optimization problems with random recourse, where the adaptive decisions are multiplied with the uncertain parameters in both the objective function and the constraints. To mitigate the c...
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Scheduling in semiconductor wafer fabrication is viewed important due to its effect on both proper utilization of expensive equipment and cycle time. The complex nature of manufacturing processes used in semiconductor...
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Scheduling in semiconductor wafer fabrication is viewed important due to its effect on both proper utilization of expensive equipment and cycle time. The complex nature of manufacturing processes used in semiconductor manufacturing makes scheduling and other activities such as process and quality control more critical and more interdependent on each other. We investigate the interdependency, interaction, and potentially needed coordination between scheduling and advanced process control decisions. As a first step, we analyze the issue using simple models (single machine settings) both analytically and computationally, and draw insights for more complex and realistic situations.
We study the problem of finding the Lowner-John ellipsoid, i.e., an ellipsoid with minimum volume that contains a given convex set. We reformulate the problem as a generalized copositive program, and use that reformul...
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In this paper, we show that the popular K-means clustering problem can equivalently be reformulated as a conic program of polynomial size. The arising convex optimization problem is NP-hard, but amenable to a tractabl...
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We study robust convex quadratic programs where the uncertain problem parameters can contain both continuous and integer components. Under the natural boundedness assumption on the uncertainty set, we show that the ge...
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