Although reengineering is strategically advantageous fororganisations in order to keep functional and sustainable, safety must remain apriority and respective efforts need to be maintained. This paper suggeststhe combination of soft system methodology (SSM) and Pareto analysison the scope of safety management performance evaluation, and presents theresults of a survey, which was conducted in order to assess the effectiveness,efficacy and ethicality of the individual components of an organisation’s safetyprogram. The research employed quantitative and qualitative data and ensureda broad representation of functional managers and safety professionals, whocollectively hold the responsibility for planning, implementing and monitoringsafety practices. The results showed that SSM can support the assessment ofsafety management performance by revealing weaknesses of safety initiatives,and Pareto analysis can underwrite the prioritisation of the remedies required.The specific methodology might be adapted by any organisation that requires adeep evaluation of its safety management performance, seeks to uncover themechanisms that affect such performance, and, under limited resources, needsto focus on the most influential deficiencies.
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Process Mining can roughly be defined as a data-driven approach to process management. The basic idea of process mining is to automatically distill and to visualize business processes using event logs from company IT-systems (e.g. ERP, WMS, CRM etc.) to identify specific areas for improvement at an operational level. An event log can be described as a database entry that signifies a specific action in a software application at a specific time. Simple examples of these actions are customer order entries, scanning an item in a warehouse, and registration of a patient for a hospital check-up.Process mining has gained popularity in the logistics domain in recent years because of three main reasons. Firstly, the logistics IT-systems' large and exponentially growing amounts of event data are being stored and provide detailed information on the history of logistics processes. Secondly, to outperform competitors, most organizations are searching for (new) ways to improve their logistics processes such as reducing costs and lead time. Thirdly, since the 1970s, the power of computers has grown at an astonishing rate. As such, the use of advance algorithms for business purposes, which requires a certain amount of computational power, have become more accessible.Before diving into Process Mining, this course will first discuss some basic concepts, theories, and methods regarding the visualization and improvement of business processes.
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The Interoceanic corridor of Mexico stands as a pivotal infrastructure project poised to significantly enhance Mexico's national and regional economy. Anticipated to start the operations in 2025 under the auspice of the national government, this corridor represents a strategic counterpart to the Panama Canal, which faces capacity constraints due to climate change and environmental impacts. Positioned as a promising alternative for transporting goods from Asia to North America, this corridor will offer a new transport route, yet its real operational capacity and spatial impacts remains uncertain. In this paper, the authors undertake a preliminary, informed analysis leveraging publicly available data and other specific information about infrastructure capacities and economic environment to forecast the potential throughput of this corridor upon full operationalization and in the future. Applying simulation techniques, the authors simulate the future operations of the corridor according to different scenarios to offer insights into its potential capacity and impacts. Furthermore, the paper delves into the opportunities and challenges that are inherent in this project and gives a comprehensive analysis of its potential impact and implications.
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