We theorize a notion of a digital supply chain (SC) twin – a computerized model that represents network states for any given moment in real time. We explore the conditions surrounding the design an...

A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0

https://bura.brunel.ac.uk/bitstream/2438/17236/1/FullText.pdf

Hybrid simulation modelling in operational research: A state-of-the-art review

Collaborative Urban Transportation:Recent Advances in Theory and Practice

Infrastructure—electricity, telecommunications, roads, water, and sanitation—are central to people’s lives. Without it, they cannot make a living, stay healthy, and maintain a good quality of life. Access to basic infrastructure is also a key driver of economic development. This report lays out a framework for understanding infrastructure resilience - the ability of infrastructure systems to function and meet users’ needs during and after a natural hazard. It focuses on four infrastructure systems that are essential to economic activity and people’s well-being: power systems, including the generation, transmission, and distribution of electricity; water and sanitation—especially water utilities; transport systems—multiple modes such as road, rail, waterway, and airports, and multiple scales, including urban transit and rural access; and telecommunications, including telephone and Internet connections.

Lifelines: The Resilient Infrastructure Opportunity

Electric vehicles (EVs) are widely considered to be a solution to the problems of increasing carbon emissions and dependence on fossil fuels. However, the adoption of EVs remains sluggish due to range anxiety, long charging times, and inconvenient and insufficient charging infrastructure. Various problems with EV service operations should be addressed to overcome these challenges. This study reviews the state-of-the-art mathematical modeling-based literature on EV operations management. The literature is classified according to recurring themes, such as EV charging infrastructure planning, EV charging operations, and public policy and business models. In each theme, typical optimization models and algorithms proposed in previous studies are surveyed. The review concludes with a discussion of several possible questions for future research on EV service operations management.

Optimization models for electric vehicle service operations: A literature review

From experimentation to theory; standards and advanced methodologies, modeling and simulation is continually pushing the envelope of the available technologies, as many sectors have growing needs to process, visualize, make readable, understand, and deploy complex models that use immense amounts of data. These players need to transform data into hypothesis building and critical decision-making, and to change their models in response to new hypotheses, usually involving multiple highly specialized experts working together in geographically distant areas. 
After 50 years, we are now beyond Modeling and Simulation using Grid and Cloud computing, Web-based and distributed simulation and other recent technologies. We need to deal with computing power and storage in heterogeneous environments, resources virtualization; services consumed on demand (with minimal limitation for resource location), power issues, massive datasets. We face new challenges as we have ubiquitous processors that can process applications on demand. 
WSC 2017 focus is on addressing how to achieve the goal of having Simulation Everywhere!

Proceedings of the 2017 Winter Simulation Conference

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Proceedings of the 2017 Winter Simulation Conference