Lean logistics and continuous improvement methodologies, such as Six Sigma, are key subjects to reduce non added value activities and improve intrinsic processes in the supply chain of an organisation. The aim of this work is to identify the variables influencing the quality and performance of raw material supply process throughout a case study to propose improvements to reduce the number of process defects. To...
In this paper, the graph theory is used to quantify the uncertainty generated in performance measures during the process of performance measurement. A graph is developed considering all the sources of uncertainty present in this process and their relationship. The permanent function of the matrix associated with the graph is used as the basis for determining an uncertainty index.
Data quality is a multi-dimensional concept and this research will explore its impact in performance measurement systems. Despite the large numbers of publications on the design of performance measurement systems (PMSs) and the definition of critical success factors to develop Performance Measures (PMs), from the data user perspective there are possibilities of finding data quality problems, that may have a neg...
This work main objective is to adapt and apply the three realities approach (Gemba, Genbutsu, and Genjitsu) to the analysis of field quality problems in a motorcycle industry and gain advantage with regard to the quality of the product on the market (quality management) and transfer to partners financial responsibilities regarding the origins of these problems (management of warranty costs). The three realities...
Performance measurement systems (PMSs) are receiving increasing attention from academics and practitioners particularly after the development of the Balanced Scorecard (BSC), and many PMSs are available nowadays. The hypothesis is that organisations need to reflect the uncertainty of its systems and contextual factors in their PMs to improve their models. This identification of uncertainty in PMS is the first s...
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