论文

Operational Strategies for Managing Supply Chain Disruptions: Simulation of External Factor Impact on a Semiconductor Industry


The study explores the critical need to address vulnerabilities within the semiconductor supply chain, given its global network and production timelines. It showcases the application of system dynamics simulation through AnyLogic software. The researchers assess the impacts of external disruptions and observe the change in customer orders, revenue, and distribution center stock in different operational strategies for managing supply chain disruptions.

A System Dynamics Simulation-Based Sustainability Benchmarking


Sustainability assessment is a multi-faceted, dynamic, and complex paradigm in the context of buildings with several social, economic, and environmental interactions. Currently, the building sector lacks a sustainability evaluation and benchmarking mechanism. So, a system-thinking approach that can solve these challenges due to its ability to evaluate complex systems was developed.

A Tutorial on How to Set Up a System Dynamics Simulation on the Example of Covid-19 Pandemic


The Covid-19 virus has substantially transformed many aspects of life, impacted industries, and revolutionized supply chains all over the world. System dynamics modeling can aid in predicting future outcomes of the pandemic and generate key learnings. This tutorial describes how the system dynamics simulation model was constructed for the Covid-19 pandemic using AnyLogic Software. The model serves as a general foundation for further epidemiological simulations and system dynamics modeling.

Dynamic Modeling and Sensitivity Analysis of a Stratified Heat Storage Coupled with a Heat Pump and an Organic Rankine Cycle


The storage of electrical energy is becoming increasingly important to satisfy the demand through renewable energy sources. In this paper, a continuous and discrete simulation of a pumped thermal energy storage (PTES) system are compared with respect to their computational time and accuracy.

Simulating and Evaluating Supply Chain Disruptions Along an End-to-end Semiconductor Automotive Supply Chain


The COVID-19 pandemic is an unprecedented public health and economic crisis, that dramatically impacted different industries, and presented an unforeseen challenge to the automotive industry and its supply chain. Researchers modeled a system dynamics simulation to demonstrate the behavior of a multi-echelon supply chain responding to different end market scenarios.

Multi-agent Optimization of the Intermodal Terminal Main Parameters: Research Based on a Case Study


Due to numerous uncertainties such as bad weather conditions, frequent changes in the schedules of vessels, breakdowns of equipment, port managers are aiming at providing adaptive and flexible strategic planning of their facilities, especially intermodal terminals (dry ports).

This research shows that the combination of the agent-based modeling with other simulation approaches simplifies the process of designing simulation models and increases their visibility. The developed set of models allows the researchers to compute the balanced values of the parameters. Consequently, it helps achieve effective operation of a seaport – intermodal terminal system. The provided case study on one of the busiest ports in China proves the adequacy and validity of the developed simulation models.