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Measuring and Analysing Resilience of STE Systems

Collectionby Urban Resilience: Engineering perspective

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September 12, 2021

Business Process Simulation: Lecture 2: Conceptual model main elements

Simulation is one of the most widely used operations research and management science techniques. Simulation is a decision technique that is knowledge-intensive, data-intensive, model-intensive and software tool intensive. Simulation is a good tool in situations where analytical mathematical techniques such as queueing theory are not precise enough. In this collection, we will focus on how to use simulation to analyse, evaluate and improve the performance of business processes. In this resource we focus on the third steps of the DES simulation methodology. The resource consists of the following 6 short clips: conceptual model: main elements Simple queing system: transition specifications How does simulation work? Petrol station example and manual simulation Additional examples These resources are a part of the course: Business Process Simulation (TU/E)

Document

Laura Genga

August 19, 2021

Business Process Simulation: Lecture 1: Introduction to Simulation

Simulation is one of the most widely used operations research and management science techniques. Simulation is a decision technique that is knowledge-intensive, data-intensive, model-intensive and software-tool intensive. Simulation is a good tool in situations where analytical mathematical techniques such as queueing theory are not precise enough. In this collection, we will focus on how to use simulation to analyze, evaluate and improve the performance of business processes. In this resource we focus on the first two steps of the DES simulation methodology. The resources consist of the following 3 short clips: introduction to simulation Step 1: project definition Step 2: Design the study These resources are part of the course: Business process simulation (TUe)

Document

Laura Genga

July 29, 2021

Process identification Lecture 2

Lecture on process discovery, explaining qualitative and data-driven techniques to derive models describing organization processes selected from a process architecture. The lecture is a follow up of the lecture “OER_lecture1_PI_LG”. The lecture is arranged in six short modules. Slides are provided as well.

Presentation

Laura Genga

July 2, 2021

Business Process Management: Lecture on Organisational Resilience

In this resource we provide a quick introduction on the concept of organizational resilience and motivate the use of BPM approaches as a support tool to implement such a concept. The resource consists of a single clip and should be intended as an introduction the ''Process Identification'' and "Process Discovery" resources

Video

Laura Genga

July 2, 2021

Process Identification Lecture 1

Lecture on process identification, with a short introduction on the business process management discipline. The lecture is arranged in six short modules. Slides are provided as well.

Presentation

Laura Genga

February 1, 2021

Quantifying the Performance of Resilience Increasing Measures: Workshop introduction

This resource contains a workshop about quantifying the performance of resilience increasing measures and 3 exercises (Excel) to reflect on shocks and stresses. These exercises focus on Climate, Water and Urban Areas. Students will be asked to reflect on shock and stresses, the (initial and cascading) impact from different perspectives and measures to mitigate the negative consequences (again by looking at many different variables).

Presentation

Karina Vink

February 1, 2021

Vulnerability Assessment

This presentation focuses on different phases in the disaster management cycle (DMC) and how release model (PAR) can be applied to local cases and vulnerability assessments. Learning objectives: Explain the required actions by different actors corresponding to the different phases in the disaster management cycle (DMC) Motivate how the characteristics of vulnerable people can be incorporated into disaster risk management actions Analyze how the progression of vulnerability and of safety in the pressure and release model (PAR) can be applied to local cases Assess to which degrees the DMC and PAR model apply to existing vulnerability assessments (Optional): be able to apply actions to reduce your own vulnerability The materials also include a Vulnerability assessment assignment (PAR models). Note that the powerpoint versions of the materials have a slight deviation from the PDF versions. Please consult the PDF version for the original content. The powerpoint versions are provided for ease of editing.

Presentation

Karina Vink

February 1, 2021

Green Infrastruture

The content of this presentation is as follows: How to improve the climate-resilience of urban infrastructure? Examples of green infrastructure The Ecosystem Services Cascade: Ecosystem services Green infrastructure benefits and drawbacks Sustainable development goals and resilience Issues with existing valuation methods and performance measurements Practical implementation ' If you want to learn more' Learning objectives are: Distinguish between green infrastructure (GI) and other types of measures to improve resilience in urban areas. Give examples of grey, green, soft and hybrid measures, their benefits and drawbacks, and relation to natural hazards. Explain how GI can improve urban resilience in relation to ecosystem services and the sustainable development goals (SDGs). Explain difficulties and solutions in valuing GI benefits and measuring performance. Motivate which GI you would implement in an actual city and how you would measure its performance.

Presentation

Karina Vink

December 1, 2020

Agent Based Modeling for Resilience

This resource is intended for the following purposes: To raise awareness among students on why you should analyze your (Agent Based) model, and provides some tools on how to do this To use sensitivity analysis to quantify resilience. This tutorial is intended as part of a larger course on Agent Based Modelling and/or modelling for resilience, but may also be useful as a stand-alone module given a certain background of the participants. It consists of three parts dealing with some basic methodologies for analyzing an Agent Based Model and interpreting the results, with some focus on a resilience context. This tutorial contains 3 parts, including an overview including detailed learning objectives. Part 1: Tutorial R for NetLogo Part 2: Model analysis Part 3: Quantifying resilience

Document

George van Voorn, Guus ten Broeke

January 1, 2020

Recontructing a road network after disasters

In this activity, the lecturer will provide a handout and additional details and students will work in group and develop strategies and road recovery sequence for the presented problem. This is a practical network modelling exercise that will help them to conceptualize larger-scale case studies using network science. The main advantage of this learning activity is that each student will not only be able to apply the mathematical and theoretical knowledge that they have learned throughout the class, but also will be able to relate them to societal problems. Working-in-pair will let them brainstorm and develop working in team skills. The main disadvantage of this activity is that again it might take quite a long time unexpectedly. In addition, it is an exercise that does not have a single “correct” answer but a range of possible strategies to sequence the road segments. The resources include a detailed research paper on this subject. The research paper can be found here: https://www.sciencedirect.com/science/article/pii/S2212420918306393?via%3Dihub .

Document

Nazli Yonca Aydin