Analyzing Process of Problem Solving with Group via Statistical Discourse Analysis

doi:10.12738/estp.2018.2.0309

Cited by 2 publications

(2 citation statements)

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“…While Chiu showed how discourses affect the final situation in marital conflicts and examined the influence of discourse on preschool games [ 16 ]. Toraman and Karadağ used regression analysis to examine the effects of various variables (cognitive flexibility, school success, physics course success, sex, popularity, family income level) on high school students and the discourses formed in the communication between students during the problem-solving process [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

The effect of social interaction on decision making in emergency ambulance teams: a statistical discourse analysis

et al. 2023

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Introduction This study examined the effects of social interaction, cognitive flexibility, and seniority on the correct response among emergency ambulance teams during case intervention. Methods The research, structured with the sequential exploratory mixed method, was conducted with 18 emergency ambulance personnel. The approach process of the teams working on the scenario was video recorded. The records were transcribed by the researchers, including gestures and facial expressions. Discourses were coded and modeled with regression. Results The number of discourses was higher in groups with high correct intervention scores. As the level of cognitive flexibility or seniority increased, the correct intervention score tended to decrease too. Informing has been identified as the only variable that positively affects the correct response to the emergency case, especially in the first period, which is directed toward case intervention preparation. Conclusion Within the findings of the research, it is recommended that activities and scenario-based training practices that will increase the intra-team communication of the emergency ambulance personnel should be included in the medical education and in-service training.

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Section: Introductionmentioning

confidence: 99%

The effect of social interaction on decision making in emergency ambulance teams: a statistical discourse analysis

et al. 2023

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“…The fibres (of different fibre blends) are processed at the first production stage, which is then fed to parallel machines to manufacture different types of yarn [10]. In these examples, only the production-distribution planning procedure is able to apply the two-stage manufacturing structure, which may eventually change the production lot quantities, as well as the distribution timing and scaling [11]. The production sequences, lot sizes, vehicle routing plans should therefore be comprehensively balanced so that the system can achieve the optimised trade-offs between manufacturing and transportation costs, customer satisfaction, and tardiness penalties [12].…”

Section: Introductionmentioning

confidence: 99%

Integrated Production Scheduling and Distribution Planning with a Two-Stage Semi-Continuous Flow Shop Environment

Yan¹,

Li²,

Wei³

2018

Int. j. simul. model.

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In the past decades, a significant amount of attention has been attracted by operational productiondistribution scheduling models. These models suggest that compared with hierarchical planning processes, the optimal plan can be achieved by considering the production and distribution decisions at the same time. For example, managers can schedule the production the delivery tasks consecutively. In a typical two-stage semi-continuous flow shop production plant, raw materials are converted into continuous resources in the first stage, and then, in the second stage, they are fed to the discreteproduction processes of end products. Machines are employed to guarantee the continuous running of certain types of processes in each stage. Furthermore, the processing sequence at the first stage determines the readiness time and costs of resources. The product family is the basic scheduling element, and products sharing common materials and manufacturing procedures are categorised in the same product family. Taking these dependencies derived in practical manufacturing processes into consideration, various industrial cases can be fit in this model, including the food and drink industries or the metallurgical industry. This paper finally presented numerical-based tests on specific cases from an industrial application.

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Analyzing Process of Problem Solving with Group via Statistical Discourse Analysis

Cited by 2 publications

References 26 publications

The effect of social interaction on decision making in emergency ambulance teams: a statistical discourse analysis

The effect of social interaction on decision making in emergency ambulance teams: a statistical discourse analysis

Integrated Production Scheduling and Distribution Planning with a Two-Stage Semi-Continuous Flow Shop Environment

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