Marketing Dynamic Simulation Modelling in High Tech Laboratories

2011 ◽  
Vol 495 ◽  
pp. 23-27 ◽  
Author(s):  
Marina C. Terzi ◽  
Damianos P. Sakas ◽  
Dimitrios Vlachos
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Simulation Modelling ◽  
High Tech ◽  
Integrated Marketing ◽  
Public And Private ◽  
B2b Marketing ◽  
Private And Public ◽  
Dynamic Simulation Model ◽  
Dynamic Simulation Modelling

The paper considers the role of Integrated Marketing Communication in enhancing the brand awareness of high-tech laboratories. By acknowledging the great interaction of public and private laboratories with high-tech companies, the study is aimed at developing a simulation model to be incorporated in the marketing strategy of laboratories. The comprehensive dynamic simulation model that was developed highlights the emphasis that should be placed when B2B marketing activities are the matter of concern. Marketing Dynamic Simulation Modelling is based on the principles of Integrated Marketing. It has been tested in both private and public laboratories, concluding that marketing in the private sector receives more attention than in the public sector. The proposed model incorporates all the components for successfully marketing laboratories by taking their budget restrictions into consideration.

DYNAMIC SIMULATION MODEL FOR SUSTAINABLE MUNICIPALITY DEVELOPMENT IN VIDZEME REGION, LATVIA

2017 ◽  
Vol 2 ◽  
pp. 11
Author(s):  
Aigars Andersons ◽  
Sarmite Rozentale
Keyword(s):  
Sustainable Development ◽  
Simulation Model ◽  
Dynamic Simulation ◽  
Evaluation Process ◽  
Monitoring And Evaluation ◽  
Simulation Modelling ◽  
Development Planning ◽  
System Dynamic ◽  
Dynamic Simulation Model ◽  
System Dynamic Simulation

Authors in this research paper publish the results of system dynamic simulation modelling in the field of sustainable development planning, monitoring and evaluation for all 26 Latvia Vidzeme region municipalities. As the most notable research outcome, authors created original socio-technical system dynamic simulation model in STELLA modelling environment valid for sustainable development evaluation purposes. After successful verification and validation process of this model authors reached the significant results for improved methodology of dynamic systems evaluation process reliability of sustainable development in Vidzeme region municipalities. Methodology, proposed by authors roots into the quantitative statistical data analysis and system dynamic process simulation modelling.

The Contribution of Dynamic Simulation Model of Depiction of Knowledge, in the Leading Process of High Technology Companies

2013 ◽  
Vol 543 ◽  
pp. 406-409 ◽  
Author(s):  
Nasiopoulos K. Dimitrios ◽  
Damianos P. Sakas ◽  
D.S. Vlachos
Keyword(s):  
Organizational Culture ◽  
Simulation Model ◽  
Dynamic Simulation ◽  
Knowledge Creation ◽  
Market Competition ◽  
High Technology ◽  
High Tech ◽  
Strategic Decisions ◽  
Dynamic Simulation Model ◽  
The Impact

The purpose of this paper is to examine the impact of knowledge [ creation mode (e.g. goal-driven and goal-free) and organizational culture on knowledge creation and sharing performance in the context of high technology (high-tech) companies [ with the contribution of Dynamic Simulation Model. Both goal-free and goal-framed creation modes are more likely to support knowledge creation, while the goal-driven mode is not likely to be favorable for knowledge creation. The paper has leveraged the systems dynamic paradigm to conduct sustainable enterprise modelling and iThink system to implement the models. High-tech companies who are frequently looking for new ideas for product design [ and manufacturing technologies [ are more likely to adopt the goal-free creation mode. High-tech companies who would like to emphasize goal achievement with respect to creation in manufacturing should form an organizational culture with a characteristic of market competition [. Also, a company with both goal-free and/or goal-framed creation modes is more likely to be willing to frame its strategic decisions (or goals) and then freely look for creative ways to reach the goals.

scholarly journals Study on improving three-dimensional dynamic simulation model and equation of flexible fabric

2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985284
Author(s):  
Meiliang Wang ◽  
Mingjun Wang ◽  
Xiaobo Li
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Material Properties ◽  
Three Dimensional ◽  
Equation Solving ◽  
Study Results ◽  
Essential Properties ◽  
Dynamic Simulation Model ◽  
Novel Model ◽  
Simulation Equation

The use of the traditional fabric simulation model evidently shows that it cannot accurately reflect the material properties of the real fabric. This is against the background that the simulation result is artificial or an imitation, which leads to a low simulation equation. In order to solve such problems from occurring, there is need for a novel model that is designed to enhance the essential properties required for a flexible fabric, the simulation effect of the fabric, and the efficiency of simulation equation solving. Therefore, the improvement study results will offer a meaningful and practical understanding within the field of garment automation design, three-dimensional animation, virtual fitting to mention but a few.

An evaluation of strategies for restoring a degraded New Zealand scallop fishery using stochastic dynamic simulation modelling

2021 ◽  
Vol 299 ◽  
pp. 113547
Author(s):  
Tarek Soliman ◽  
Thomas Robertson ◽  
Jeremy McKenzie ◽  
James Williams ◽  
Utkur Djanibekov ◽  
...  
Keyword(s):  
New Zealand ◽  
Dynamic Simulation ◽  
Simulation Modelling ◽  
Stochastic Dynamic ◽  
Dynamic Simulation Modelling

scholarly journals Climate-related migration and population health: social science-oriented dynamic simulation model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rafael Reuveny
Keyword(s):  
Public Health ◽  
Social Science ◽  
Simulation Model ◽  
Environmental Health ◽  
Dynamic Simulation ◽  
Health Problems ◽  
Ecological Impacts ◽  
Sensitivity Analyses ◽  
Pilot Model ◽  
Dynamic Simulation Model

Abstract Background Social science models find the ecological impacts of climate change (EICC) contribute to internal migration in developing countries and, less so, international migration. Projections expect massive climate-related migration in this century. Nascent research calls to study health, migration, population, and armed conflict potential together, accounting for EICC and other factors. System science offers a way: develop a dynamic simulation model (DSM). We aim to validate the feasibility and usefulness of a pilot DSM intended to serve as a proof-of-concept and a basis for identifying model extensions to make it less simplified and more realistic. Methods Studies have separately examined essential parts. Our DSM integrates their results and computes composites of health problems (HP), health care (HC), non-EICC environmental health problems (EP), and environmental health services (ES) by origin site and by immigrants and natives in a destination site, and conflict risk and intensity per area. The exogenous variables include composites of EICC, sociopolitical, economic, and other factors. We simulate the model for synthetic input values and conduct sensitivity analyses. Results The simulation results refer to generic origin and destination sites anywhere on Earth. The effects’ sizes are likely inaccurate from a real-world view, as our input values are synthetic. Their signs and dynamics are plausible, internally consistent, and, like the sizes, respond logically in sensitivity analyses. Climate migration may harm public health in a host area even with perfect HC/ES qualities and full access; and no HP spillovers across groups, conflict, EICC, and EP. Deviations from these conditions may worsen everyone’s health. We consider adaptation options. Conclusions This work shows we can start developing DSMs to understand climate migration and public health by examining each case with its own inputs. Validation of our pilot model suggests we can use it as intended. We lay a path to making it more realistic for policy analysis.

scholarly journals Dynamic Simulation of Petrochemical Wastewater Treatment Using Wastewater Plant Simulation Software

2018 ◽  
Vol 203 ◽  
pp. 03005
Author(s):  
Idzham Fauzi Mohd Ariff ◽  
Mardhiyah Bakir
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Stable Condition ◽  
Oxygen Demand ◽  
Simulation Software ◽  
Petrochemical Plant ◽  
Dynamic Simulation Model ◽  
Plant Monitoring ◽  
Plant Simulation

A dynamic simulation model was developed, calibrated and validated for a petrochemical plant in Terengganu, Malaysia. Calibration and validation of the model was conducted based on plant monitoring data spanning 3 years resulting in a model accuracy (RMSD) for effluent chemical oxygen demand (COD), ammoniacal nitrogen (NH3-N) and total suspended solids (TSS) of ±11.7 mg/L, ±0.52 mg/L and ± 3.27 mg/L respectively. The simulation model has since been used for troubleshooting during plant upsets, planning of plant turnarounds and developing upgrade options. A case study is presented where the simulation model was used to assist in troubleshooting and rectification of a plant upset where ingress of a surfactant compound resulted in high effluent TSS and COD. The model was successfully used in the incident troubleshooting activities and provided critical insights that assisted the plant operators to quickly respond and bring back the system to normal, stable condition.

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