Models that aim to optimize the design of supply chain networks have gained more interest in the supply chain literature. Mixed-integer linear programming and discrete-event simulation are widely used for such an optimization problem. We present a hybrid approach to support decisions for supply chain network design using a combination of analytical and discrete-event simulation models. The prop...

Hybrid simulation is an experimentally based method for investigating the response of a structure to dynamic excitation using a hybrid model. A hybrid model is an assemblage of one or more physical and one or more numerical, consistently scaled, substructures. The equation of motion of a hybrid model under dynamic excitation is solved during a hybrid simulation test. Results from hybrid simulat...

We introduce a novel differentiable hybrid traffic simulator , which simulates using model of both macroscopic and microscopic models can be directly integrated into neural network for control flow optimization. This is the first that compute gradients states across time steps inhomogeneous lanes. To gradient between two types in framework, we present intermediate conversion component bridges l...

Discrete-event simulation based optimization is the process of finding the optimum design of a stochastic system when the performance measure(s) could only be estimated via simulation. Randomness in simulation outputs often challenges the correct selection of the optimum. We propose an algorithm that merges Ranking and Selection procedures with a large class of random search methods for continu...

Switching supervisory is the most important section of a feedback control process inMIMO hybrid systems. By choosing a non-compatible controller, system may go tounstable mode or high overshoot response. In this paper, a new method of switchingfor selecting MBC controllers is discussed. Results of the simulation show the MIMO(2-in 2-out) linear hybrid system can be switched stable and low overs...

This article proposes an approach to a hybrid software process simulation modeling (SPSM) using discrete event system specification (DEVS) formalism, which implements the dynamic structure and discrete characteristics of the software development process. Many previous researchers on hybrid SPSM have described both discrete and continuous aspects of the software development process to provide mo...

Hybrid simulation involves the use of multiple simulation paradigms, and is becoming an increasingly common approach to modelling modern, complex systems. Despite growing interest in its use, little guidance exists for modellers regarding the nature and variety of hybrid simulation models. Here, we concentrate on one particular hybrid – that involving agent-based and system dynamics models. Bas...

Conventional electromagnetic transient (EMT) and phasor-domain hybrid simulation approaches presently exist for trans-mission system level studies. Their simulation efficiency is generally constrained by the EMT simulation. With an increasing number of distributed energy resources and non-conventional loads being installed in distribution systems, it is imperative to extend the hybrid simulatio...