Amanda J. Schmitt

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We present a model constructed for a large consumer products company to assess their vulnerability to disruption risk and quantify its impact on customer service. Risk profiles for the locations and connections in the supply chain are developed using Monte Carlo simulation, and the flow of material and network interactions are modeled using discrete-event(More)
A new method for the assessment of qualitative description of nonverbal behavior (automatic movie analysis) is introduced. This model-free method does not use any assumptions on the structure and organization of nonverbal behavior. Cross-cultural comparison (Germany, Japan) of unobtrusively filmed initial interactions between 2 opposite-sex strangers(More)
We demonstrate the importance of using a sufficiently long time horizon analysis when modeling inventory systems subject to supply disruptions. Several publications use single-period newsboy models to study supply disruptions, and we show that such models underestimate the risk of supply disruptions and generate sub-optimal solutions. We examine a firm with(More)
We model a retailer whose supplier is subject to complete supply disruptions. We combine discrete-event uncertainty (disruptions) and continuous sources of uncertainty (stochastic demand or supply yield), which have different impacts on optimal inventory settings. This prevents optimal solutions from being found in closed form. We develop a closed-form(More)
We investigate optimal system design in a multi-location system in which supply is subject to disruptions. We examine the expected costs and cost variances of the system in both a centralized and a decentralized inventory system. We show that, when demand is deterministic and supply may be disrupted, using a decentralized inventory design reduces cost(More)
The aim of this study was to test the method Kunos and his colleagues (1999) developed on the first rib to assess adult age-at-death. The method was applied on a sample of known age and sex, selected from a Thai collection. The procedure being subjective, we chose to estimate an age category rather than a precise age. The results show that only 55% of the(More)
We investigate an aerospace supply chain that is subject to various types of risks in this research. Discrete-event simulation technique is used to model the flow of product and risk factors such as potential supply chain disruptions or quality issues. The underlying goal of the model is to analyze the supply chain performance under various risk scenarios(More)
Process-Oriented Basis Representation (POBREP) is an effective method of multivariate statistical process control that is seldom used in manufacturing. Rather than monitoring individual process variables, POBREP seeks to identify specific causes of production problems and map those into a basis matrix. These patterns can then be monitored with(More)
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