This paper introduces a simulation study of interventions to ensure a stable supply of a generic medicine in Norway. A hybrid simulation modeling framework is proposed to evaluate the effect of alternative supply chain shortage interventions in response to various disruptions to support national decision making with respect to preparedness planning and emergency response.
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.
In this paper, researchers used a discrete event simulation to evaluate the performance of outlier correction methods and extended the forecast generation process to increase forecast accuracy.
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.
Environmental sustainability is among the key concerns of our time. This study uses a multimethod simulation model to assess the impact of different e-grocery fulfillment strategies alongside the entire supply chain on sustainability metrics.
The Regional Biorefinery Impact Assessment (REBIA) simulation tool allows easy impact assessment for waste stream sources and biorefinery locations. REBIA is based on a supply chain model, where waste is transported via the road network from its various sources to the biorefinery.
Pallets are returnable transport items and of great importance for supply chains. They ensure efficient storage, transport, and handling processes. The pallet cycle, however, is associated with a substantial effort. In addition to administrative costs, extra trips and detours must often be taken by forwarders to retrieve pallets or buy new pallets. In this paper, a fictitious cross-actor pallet exchange platform is analyzed by building a supply chain model.
In Ireland, cheese is one of the most exported products. Due to Brexit, it will be most impacted by delays at ports caused by the potential reintroduction of customs or border controls. To predict forthcoming changes and analyze their impact on the cheese supply chain in Ireland, a simulation model was built. To develop the model, the research team used a combination of the agent-based and discrete event modeling approaches along with geographic information system (GIS) included in AnyLogic simulation software.
The negative effects of traffic, such as air quality problems and road congestion, put a strain on the
infrastructure of cities and high-populated areas. A potential measure to reduce these negative effects are grocery home deliveries (e-grocery), which can bundle driving activities and, hence, result in decreased traffic and related emission outputs.
This paper presents an agent-based simulation for logistics network analysis. The model built with a simulation tool assesses the impact of the e-grocery logistics network compared to the stationary one in terms of mileage and different emission outputs.