A mathematical programming model for global plant location problems: Analysis and insights

In this paper, we study the design of global facility networks. We present a mixed integer programming model that captures essential design trade-offs for such networks and explicitly incorporates government subsidies, trade tariffs and taxation issues. The resulting formulation can be solved for reasonable size problems with commercially available mathematical programming software. Focusing on special cases of the problem enables us to provide useful insights on preferable international facility networks for various environments. We demonstrate the pervasive, and often dominating, effects of subsidized financing, tariffs, regional trade rules and taxation in shaping the manufacturing and distribution network of global firms.     

Delamination Cracking in a Laminated Ceramic-Matrix Composite

Delamination crack propagation has been investigated in a laminated fiber-reinforced ceramic-matrix composite. The crack growth initiation resistance has been shown to be dominated by the critical strain energy release rate for the matrix. However, the resistance increases with crack extension because of bridging effects associated with intact fibers and, in some cases, intact segments of matrix. The delamination cracks also assume a steady-state trajectory within a 0° layer close to the 0°/90° interface.     

Wellbore Stability Analysis: From Linear Elasticity to Postbifurcation Modeling

This paper reviews some of the progress made on wellbore stability modeling during the last two decades. First we demonstrate the improvement made on mud-pressure predictions by moving from analytic elastic solutions to finite element elastoplastic modeling. We show this progress, presenting a finite element model based on a generalized plane strain formulation for analyzing efficiently the three-dimensional problem of stability in deviated wellbores. On a more research oriented work, we present results from two advanced theories capable of modeling localization of deformation in shear bands, which causes borehole breakouts. The first theory is based on a more established approach, the Cosserat continuum. The second theory, called gradient elastoplasticity, is being developed to resolve some of the drawbacks of gradient plasticity theories. Gradient elastoplasticity is a unified theory where both elastic and plastic parts are of gradient type. We demonstrate that both theories, in addition to localization, can also model the scale effect observed in thick-walled cylinder tests.     

Improved initial vertex ordering for exact maximum clique search

This paper describes a new initial vertexordering procedure NEW_SORT designed to enhance approximate-colour exact algorithms for the maximum clique problem (MCP). NEW_SORT considers two different vertex orderings: degree and colour-based. The degree-based vertex ordering describes an improvement over a well-known vertex ordering used by exact solvers. Moreover, colour-based vertex orderings for the MCP have been traditionally considered suboptimal with respect to degree-based ones. NEW_SORT chooses the “best” of the two orderings according to a new evaluation function. The reported experiments on graphs taken from public datasets show that a leading exact solver using NEW_SORT —and further enhanced with a strong initial solution— can improve its performance very significantly (sometimes even exponentially).     

Exploring the Leidenfrost Effect for the Deposition of High‐Quality In2O3 Layers via Spray Pyrolysis at Low Temperatures and Their Application in High Electron Mobility Transistors

The growth mechanism of indium oxide (In₂O₃) layers processed via spray pyrolysis of an aqueous precursor solution in the temperature range of 100–300 °C and the impact on their electron transporting properties are studied. Analysis of the droplet impingement sites on the substrate's surface as a function of its temperature reveals that Leidenfrost effect dominated boiling plays a crucial role in the growth of smooth, continuous, and highly crystalline In₂O₃ layers via a vapor phase‐like process. By careful optimization of the precursor formulation, deposition conditions, and choice of substrate, this effect is exploited and ultrathin and exceptionally smooth layers of In₂O₃ are grown over large area substrates at temperatures as low as 252 °C. Thin‐film transistors (TFTs) fabricated using these optimized In₂O₃ layers exhibit superior electron transport characteristics with the electron mobility reaching up to 40 cm² V^?1 s^?1, a value amongst the highest reported to date for solution‐processed In₂O₃ TFTs. The present work contributes enormously to the basic understanding of spray pyrolysis and highlights its tremendous potential for large‐volume manufacturing of high‐performance metal oxide thin‐film transistor electronics.     

Performance vs. freshness in web database applications

In this work, we present a novel approach for the efficient materialization of dynamic web pages in e-commerce applications such as an online retail store with millions of items, hundreds of HTTP requests per second and tens of dynamic web page types. In such applications, user satisfaction, as measured in terms of response time (QoS) and content freshness (QoD), determines their success especially under heavy workload. The novelty of our materialization approach over existing ones is that, it considers the data dependencies between content fragments of a dynamic web page. We introduce two new semantic-based data freshness metrics that capture the content dependencies and propose two materialization algorithms that balance QoS and QoD. In our evaluation, we use a real-world experimental system that resembles an online bookstore and show that our approach outperforms existing QoS-QoD balancing approaches in terms of server-side response time (throughput), data freshness and scalability.     

On relationships among passivity,positive realness,and dissipativity in linear systems

The notions of passivity and positive realness are fundamental concepts in classical control theory, but the use of the terms has varied. For LTI systems, these two concepts capture the same essential property of dynamical systems, that is, a system with this property does not generate its own energy but only stores and dissipates energy supplied by the environment. This paper summarizes the connection between these two concepts for continuous and discrete time LTI systems. Beyond that, relationships are provided between classes of strictly passive systems and classes of positive real systems. The more general framework of dissipativity is introduced to connect passivity and positive realness and also to survey other energy-based results. The frameworks of passivity indices and conic systems are discussed to connect to passivity and dissipativity. After surveying relevant existing results, some clarifying results are presented. These involve connections between classes of passive systems and finite-gain _L2$L_2$ stability as well as asymptotic stability. Additional results are given to clarify some of the more subtle conditions between classes of these systems and stability results. This paper surveys existing connections between classes of passive and positive real systems and provides results that clarify more subtle connections between these concepts.     

An adaptive inverse controller for explicit rate congestion control with guaranteed stability and fairness

This paper examines explicit rate congestion control for data networks. The available bit rate (ABR) service category of asynchronous transfer mode (ATM) networks serves as an example explicit rate system. However, the results of this paper are applicable to other systems as well. After a plant model is established, a control strategy based on approximate inverse concepts is introduced. The control process includes a linear digital filter (with a DC or drift tap) that uses normalized least mean square (NLMS) adaptation. The convergence, stability and fairness properties of this control scheme are discussed. This work differentiates itself from the other contributions in the area of rate-based congestion control in its balanced approach of retaining enough complexity as to afford attractive, analytically-proven performance properties, but not so much complexity as to make implementation prohibitively expensive.     

Investigating remanufacturing competition with yield uncertainty on market share,profit, and consumer surplus

Remanufacturing has been recognized both in literature and practice because of its greenness and cost saving. Since the reproduction processes could be affected by uncertain factors, remanufacturing is much more complex than producing new products. To investigate how yield uncertainty and market competition affect remanufacturing decisions, we compare the results under three classical market scenarios with random yield, that is, (a) Nash–Cournot, (b) monopoly, and (c) Stackelberg–Cournot. On comparing the expected remanufacturing scale, expected profit, and consumer surplus, it shows that as the number of remanufacturers increases, the planned collection quantity of a single remanufacturer decreases, while the total expected market output increases. Furthermore, we find that the largest expected profit and expected consumer surplus brought by market scenarios depend on a threshold remanufacturer number. We also relax the assumptions and extend our model to consider the scenario of m leaders and followers in a Stackelberg game. It is interesting to find that the first‐mover advantage in profit and market share of the leader remanufacturer would be challenged when the number of leader remanufacturers is no less than 2. The results can be potentially useful for managerial decisions and environmental administrations.