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The error in smoke transport models have mainly been analyzed with qualitative approaches till date. The results make it difficult to perform a quantitative assessment of the model error in fire safety design applications. Even if a model has a substantial model error, it can be a very useful tool, as long as the designer is aware of the errors and the uncertainties in the predictions. This paper presents a methodology to quantify the error in model predictions and the associated uncertainties with a statistical analysis of multiple scenarios. The knowledge of the model error can then be used to adjust future model predictions in order to take the error into account explicitly. This is done with an adjustment model valid for predictions during the whole pre-flashover phase of the fire scenario and not just at a single point in time. The approach taken is based on a quantitative comparison of model predictions and experimental measurements from several fire scenarios which constitute a scenario configuration. The application of the method is presented in a subsequent paper, where the model error in temperature predictions by the two-zone model CFAST 2.0 is analyzed.

Purpose -The purpose of this paper is to propose a framework for describing and analyzing misalignments in supply chain management related to changes in supply chain structures, processes and management components. Design/methodology/approach -Based on the systems approach, a single-case study including several embedded cases from the same supply chain was deployed. This was done according to the abductive research approach, which is favourable when extending existing and developing new theory. Data were collected through observations, interviews and workshops, and later analyzed through pattern matching. The case studied was the Swedish cash supply chain, which was appropriate since it has gone through several changes in its supply chain structure and management. Findings -A framework to describe and analyze misalignments in the supply chain was developed. The framework consists of three steps: first, identify changes in the supply chain, second, Identify Misalignments, and third, identify symptoms. For each step, a specific and more detailed framework was developed in order to facilitate the identification processes. Originality/value -Using the framework described in this paper a researcher or practitioner acquires a structured approach to mapping the management of a supply chain so that its current misalignments can be identified.

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