Sanjay Jain

TL;DR: In this paper, the authors propose a framework for integration of modeling, simulation, and visualization tools for emergency response, which will significantly improve the nation's capability in the emergency response area.

TL;DR: In this paper, a virtual factory is defined as an integrated simulation model of major subsystems in a factory that considers the factory as a whole and provides an advanced decision support capability.

TL;DR: The potential of a DEA based generic performance measurement approach for manufacturing systems is provided andLimitations of the DEA based approach are presented when considering measures that are influenced by factors outside of the control of the manufacturing decision makers.

Abstract: The effective practice of supply chain management (SCM) is crucial to improve corporations' competitive advantage. Many corporations have built simulation models to facilitate the application of simulation in designing, evaluating, and optimizing their supply chain. Traditionally, a supply chain involves only a single enterprise with multiple facilities and distribution centers. Hence, sharing of detailed simulation models is not a problem in this scenario. But in recent years, the scope of SCM has evolved to cross the enterprise boundaries. Applying simulation in designing, evaluating, and optimizing the supply chain becomes more difficult since the participating corporations might not be willing to share their simulation models with partners. Distributed simulation techniques are presented as an enabling technology that allows corporations to construct a cross enterprise simulation while hiding model details within the enterprise. This can be realized by either building the simulation on top of the Runtime Infrastructure of the High Level Architecture or building the simulation on top of a customized distributed discrete event simulation protocol. These alternative approaches are compared in terms of their performance and interoperability. The comparison of the performance is done through a benchmarking test of a semiconductor supply chain model.

TL;DR: This paper proposes multiple methods in which simulation can serve as a DA application or support other DA applications in manufacturing environment to address big data issues.