Convenience in a residence with demand response: A system dynamics simulation model

Bugaje, Bilal; Rutherford, Peter; Clifford, M.J.

doi:10.1016/j.apenergy.2022.118929

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…SD modeling comprises two tools: the CLDs and the simulation models. 47 (1) Causality is the core basis of the SD method, and the main manifestations of causality include causal keys and causal loops. 48 A change in one element leading to a change in another confirms a causality between the two elements, represented by a causal key.…”

Section: Methodsmentioning

confidence: 99%

“…33,38 Arrows are used to indicate the direction of causality between variables when constructing causal diagrams. 47 Step 3: Building the simulation modeling Based on the CLD, we first clarify the logical relationships and functional relationships among variables, distinguish the levels, rates, auxiliary variables, and so forth, and then build a stock-flow diagram. 39 Variables in the stock-flow map are mainly divided into stock or flow, and there are auxiliary variables and constants.…”

Section: Appendixmentioning

confidence: 99%

“…Stock and flow represent the accumulation amount and accumulation rate, respectively, and the accumulation of stock is affected by the flow. 47 Following this, a mathematical model is established with the help of a computer system to derive the equations according to the variables identified, and the above qualitative description of the causality and stock flow diagrams are transformed into a quantitative model. 38,52 Step 4: Model validation After the model has been constructed, its accuracy and validity still need to be verified by model validation.…”

Section: Appendixmentioning

confidence: 99%

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Effects of workload on medication administration errors in nursing: an analysis based on system dynamics modeling

et al. 2023

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Medication administration errors account for a relatively high proportion of medical errors, with more than 50% occurring at the nursing administration stage. Nursing is characterized by a large amount of work, rigid working hours, high information cognitive intensity, and frequent information updates. The high workload of nurses is a significant cause of medication administration errors. In this study, a literature analysis was used to determine the elements of the system dynamics model, and the causal loop diagram was used to draw the relationship framework among the elements. Vensim personal learning edition and interview surveys were then used for model validation and simulation. First, 302 case analyses of medication administration errors collected from the three metropolitan area hospitals were used to construct the causal loop diagram, the stock and flow map of the medication administration error system, and the dynamics model; second, the model was tested from theoretical and historical data simulation perspectives; finally, the system dynamics model proposed in this study was used to simulate a medical institution from overtime and policy perspectives. Through system dynamics modeling, the inducing mechanism of workload on medication administration errors in nursing operations was elucidated, and corresponding suggestions for prevention were provided. In addition, ideas and basis for optimizing the medication administration process, improving workload, and preventing medication administration errors considering workload were provided.

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Section: Methodsmentioning

confidence: 99%