Statistical Process Control Methods for Monitoring In-House Reference Standards

Mzolo, Thembile; Goris, Goele; Talens, Erik; Bucchianico, A.A. Di; Heuvel, Edwin van den

doi:10.1080/19466315.2015.1004271

Cited by 1 publication

(1 citation statement)

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“…The first class provided a criterion through which the different intervals constituting the overall time span are connected, and was evaluated in terms of the higher p-value resulting from the ANOVA test (Mzolo et al, 2015):…”

Section: Definition Of Control Objectives (Co)mentioning

confidence: 99%

A discursive, many-objective approach for selecting more-evolved urban vulnerability assessment models

Salas

Piqueras

2018

Journal of Cleaner Production

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The development of more-evolved urban vulnerability assessment (UVA) models has become an increasingly important issue for both policy agendas and academia. Several requirements have already been set for this goal; they should be pursued simultaneously. However, methods with such integration are yet to be developed. The present paper addresses this integration via a discursive process in which interactions between decision makers and the method contribute to the selection of a model fulfilling these requirements. That model yields a UVA built upon both qualitative information and quantitative data from indicators selected for the neighbourhood, city, province, region and country political-administrative scales. The characteristics demanded are encoded both into the UVA assessment model and in the optimization and control modules governing the process. While the optimization produces compromise solutions, the control module supervises the process, provides dynamic control and enables the interactions. Interactions are informed with knowledge derived from the cognitive approach entailed by the method and afford a better understanding of the process dynamics. We conclude that the goodness of fit and time dynamics objectives are aligned. Therefore, UVA methods performing well for these objectives are available, although at the expense of medium to poor preferences and robustness of performance.

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Section: Definition Of Control Objectives (Co)mentioning

confidence: 99%