Articles

A Hybrid Modeling Approach for Automated Parcel Lockers as a Last-Mile Delivery Scheme


Urban logistics is becoming increasingly important due to the global rise of e-commerce with home deliveries of small but frequent orders from consumers. The introduction of self-collection delivery systems is an innovation for last mile delivery operations in urban areas and brings new benefits. This paper introduces the application of hybrid modeling approach for the self-collection delivery costs optimization and estimation of future demand based on several socio-economic parameters.

Applying Simheuristics for Safety Stock and Planned Lead Time Optimization in a Rolling Horizon MRP System under Uncertainty


Material requirements planning (MRP) is one of the main production planning approaches implemented in enterprise resource planning systems, and one that is broadly applied in practice. In this paper, a multi-stage and multi-item production system is simulated by considering random customers’ demands and other sources of uncertainty.

Agent-Based Simulation to Predict Occupants’ Physical-Distancing Behaviors in Educational Buildings


Physical distancing is recommended as the most efficient strategy for defending individuals from long-term global pandemics. It lowers the risk of community spreading, especially for indoor spaces. This paper aims to model physical-distancing behaviors in an educational facility, using agent-based simulation, and evaluate the impact of measures (e.g., controlling classroom capacity, breaktime scheduling) on physical distance violation risks.

Designing and Implementing Operational Controllers for a Robotic Tote Consolidation Cell Simulation


Operational controllers are a critical component for smart factories and the realization of initiatives like Industry 4.0, where good reliable operational decision-making is critical to success. The contribution of this paper is providing a concrete example of an operational controller that conforms to ISA-95, embodies the necessary computational decision making to be considered 'smart' and has a plausible path to implementation.

Physics of Decision: Application to Polling Place Risk Management


This article introduces an innovative approach of risk and opportunity management to help managers in their decision-making processes. The proposed “physics of decision” approach enables managers to deal with the considered system’s performance trajectory by viewing and assessing the impact of potentialities (risks and opportunities).

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.