We apply machine learning models to forecast intraday realized volatility (RV), by exploiting commonality in via pooling stock data together, and incorporating a proxy for the market volatility. Neural networks dominate linear regressions tree-based terms of performance, due their ability uncover model complex latent interactions among variables. Our findings remain robust when we trained new s...

Use of common parts for different products (commonality) is important methods for managing product variety and preserving competitiveness in the age of mass customization and supply chain competition. In literature, the advantages of inclusion of common components in a product family are well established. Unfortunately, most of the works have been conducted via simulation or conceptual thinking...

In this paper we introduce indeed two alternative formulations of the theory of evidence by proving that both plausibility and commonality functions share the same combinatorial structure of sum function of belief functions, and computing their Moebius inverses called basic plausibility and commonality assignments. As they are discovered through geometric methods, the latter inherit the same si...

The modelling framework for platform design proposed herein concurrently caters to both module-based and scale-based platforming. The model is based on a set of variables and constraints which describe both component selection and attribute value commonality and which can be used in conjunction with various objective functions, depending on the market model employed. The key innovations present...

We study a complex Configured to Order (CTO) business operating under variable product configuration recipes and high component commonality within product Bills of Materials. In particular, we conduct a series of simulation experiments to compare certain supply chain designs and investigate how their performance changes with changing variability of product configurations. The results indicate t...

In this paper we introduce indeed two alternative formulations of the theory of evidence by proving that both plausibility and commonality functions share the same combinatorial structure of sum function of belief functions, and computing their Moebius inverses called basic plausibility and commonality assignments. The equivalence of the associated formulations of the ToE is mirrored by the geo...

The Circles of Care initiative emphasized the importance of developing an outcomes measurement plan that was consonant with the model system of care as well as community values and priorities. This analysis suggests that the Circles of Care grantees achieved this key programmatic objective, but that a major constraint was the tendency of funders, including the Substance Abuse and Mental Health ...

Multiple regression is a widely used technique to study complex interrelationships among people, information, and technology. In the face of multicollinearity, researchers encounter challenges when interpreting multiple linear regression results. Although standardized function and structure coefficients provide insight into the latent variable ( ) produced, they fall short when researchers want...

In this paper we introduce three alternative combinatorial formulations of the theory of evidence (ToE), by proving that both plausibility and commonality functions share the structure of “sum function” with belief functions. We compute their Moebius inverses, which we call basic plausibility and commonality assignments. As these results are achieved in the framework of the geometric approach t...