From intrapreneurship to entrepreneurship: Is technical expertise sufficient?‐ A case study

2003 ◽  
Vol 6 (1) ◽  
pp. 57-63
Author(s):  
John E. Woodilla
Keyword(s):  
Computer Simulation ◽  
Computer Modeling ◽  
Manufacturing Process ◽  
September 11 ◽  
Simulation Software ◽  
Technical Expertise ◽  
Successful Career ◽  
Consulting Services ◽  
E Mail

Following a successful career in industry, Dr. Douglas V. Shick, a newly minted entrepreneur, established NRS Associates, LLC, to perform consulting services based on two highly technical computer-modeling programs. Doug was heavily involved in the development of one program, an innovative computer simulation software for modeling a particular manufacturing process, through intrapreneurial activity during his corporate experience. Doug established his business on September 1, 2001, and on September 10 announced his services by e-mail to everyone he knew. The unforeseen events of the next day, September 11, produced some unexpected aftereffects that Doug had to factor into his developing business.

scholarly journals Reliability of technical systems and the methodology for calculating MTBF using Flexsim computer simulation

2019 ◽  
Vol 132 ◽  
pp. 01012
Author(s):  
Maciej Kuboń ◽  
Ireneusz Kaczmar ◽  
Pavol Findura
Keyword(s):  
Computer Simulation ◽  
Simulation Model ◽  
Computer Modeling ◽  
Simulation Software ◽  
Machine Failure ◽  
Machine Reliability ◽  
Technical Systems ◽  
And Performance ◽  
The Impact ◽  
Theoretical Foundations

The paper focuses on computer modeling of the reliability of technical systems using FlexSim simulation software. It presents the theoretical foundations of machine reliability and principles of describing this phenomenon. The discussion demonstrates how to estimate the main parameters of reliability analysis - MTBF and MTTR. The end result was designing a simulation model and assessing the impact of machine failure on the productivity and performance of a technical system.

scholarly journals Manufacturing Capacity Management By Using Modern Simulation Tools

2021 ◽  
Vol 3 (1) ◽  
pp. 129-138
Author(s):  
Marek Krynke
Keyword(s):  
Computer Simulation ◽  
Manufacturing Process ◽  
Input Data ◽  
Capacity Management ◽  
Simulation Software ◽  
Production Flow ◽  
Simulation Tools ◽  
Verification Process ◽  
Account System ◽  
The Impact

Abstract Determining the parameters of the production system as well as the choice of the type of manufactured elements flow shall appoint the level of effectiveness of the manufacturing process. The article presents an example of implementation the simulation verification process of the production flow, taking into account system constraints. The basic stages of developing a simulation model in this process are discussed, taking into account the necessary information and input data. The results show the impact of the application selected flow scenarios on the level of generated costs and the duration of the manufacturing process. The process of assessing individual variants of the organization production was performed on the basis of the results obtained by computer simulation in the FlexSim simulation software.

Investment Casting Design and Processing for Drone’s Micro-Engine Turbine Rotor Manufacturing

2016 ◽  
Vol 246 ◽  
pp. 189-192 ◽  
Author(s):  
Stanisław Roskosz ◽  
Dariusz Szeliga ◽  
Rafał Cygan ◽  
Paweł Rokicki
Keyword(s):  
Computer Simulation ◽  
Rapid Prototyping ◽  
Investment Casting ◽  
Manufacturing Process ◽  
Solidification Process ◽  
Turbine Rotor ◽  
Simulation Software ◽  
Aviation Industry ◽  
Casting Technology ◽  
Casting Design

The research presents methods for modern design and processing tools to be used in manufacturing process of castings in the aviation industry. In the study it is described how to use a computer simulation software and rapid prototyping / rapid tooling methods for manufacturing of drone’s micro-engine turbine rotor. The computer simulation of flow and solidification process and the investment casting technology were applied for manufactured elements.

COMPUTER MODELING OF MICROWAVE STRIPLINE RESONATORS FOR NON-INVASIVE SENSING

2019 ◽  
Vol 53 (1 (248)) ◽  
pp. 60-64
Author(s):  
B.J. Minasyan ◽  
L.A. Odabashyan ◽  
Zh.A. Baghdasaryan ◽  
A.Zh. Babajanyan ◽  
K. Lee
Keyword(s):  
Computer Simulation ◽  
Electromagnetic Field ◽  
Computer Modeling ◽  
Glucose Concentration ◽  
Simulation Software ◽  
Rectangular Shape ◽  
Electromagnetic Field Distribution ◽  
Non Invasive ◽  
Nacl Concentration ◽  
Simulation Results

Microwave stripline resonators of rectangular and double rectangular shapes for non-invasive sensing have been designed and investigated experimentally and numerically. The resonator of single rectangular shape has had a resonance at about 4.32 GHz for $ S_{21} $ and the resonator of double rectangular shape has had resonances at about 3.5 GHz for $ S_{21} $ and 5.85 GHz for $ S_{11} $. The simulation results for the sensitivity of the single rectangular and double rectangular resonators were -0.023 dB/(mg/dL) (glucose concentration) and 0.0143 dB/(mg/dL) (NaCl concentration), respectively. The electromagnetic field distribution of the resonators was visualized and compared using computer simulation software HFSS. The obtained data have shown the accuracy of resonators as a non-invasive sensor for biophysical applications.

Multi-Criteria Function for Optimizing the Number of Workers in an E-Maintenance

2013 ◽  
Vol 309 ◽  
pp. 252-259 ◽  
Author(s):  
Radek Havlik ◽  
Alena Gottwaldova ◽  
František Manlig
Keyword(s):  
Computer Simulation ◽  
Manufacturing Process ◽  
Simulation Software ◽  
Service Organizations ◽  
Staff Members ◽  
Maintenance System ◽  
Service Staff ◽  
Optimization Function ◽  
Maintenance Systems ◽  
Dimensional Assessment

This article deals with the procedure during designing the multi-criteria function. The multi-criteria function optimizes the number of workers in an e-maintenance. The basis for defining the multi-criteria function is to gain multi-dimensional assessment knowledge of procedures, and to integrate the procedures into e-maintenance systems. These systems also include an e-maintenance system for staffing optimization. Staffing optimization is necessary as there is direct indirection between service staff members and the customers. This sort of system is intended primarily for service organizations. Service organizations on a larger scale involve more than just machinery and equipment-they involve the manufacturer and the supplier. The key is to design a multi-criterion optimization function for staff members who use special tools or specialists in their field. The ultimate goal is to limit losses and ensure costs are kept to a minimum, or even transfer onto the customer. The verification of the proposed multi-criteria function as a suitable tool for computer simulation in the manufacturing process is done in the simulation program named Witness. The simulation software is linked to MS Excel.

scholarly journals Analysis and Optimization of Two Film-Coated Tablet Production Processes by Computer Simulation: A Case Study

Processes ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 67
Author(s):  
Stefanie Hering ◽  
Nico Schäuble ◽  
Thomas M. Buck ◽  
Brigitta Loretz ◽  
Thomas Rillmann ◽  
...  
Keyword(s):  
Computer Simulation ◽  
Model Building ◽  
Discrete Event ◽  
Simulation Software ◽  
Labor Costs ◽  
Event Simulation ◽  
Processing Times ◽  
Production Processes ◽  
Coated Tablet ◽  
Pharmaceutical Production

Increasing regulatory demands are forcing the pharmaceutical industry to invest its available resources carefully. This is especially challenging for small- and middle-sized companies. Computer simulation software like FlexSim allows one to explore variations in production processes without the need to interrupt the running process. Here, we applied a discrete-event simulation to two approved film-coated tablet production processes. The simulations were performed with FlexSim (FlexSim Deutschland—Ingenieurbüro für Simulationsdienstleistung Ralf Gruber, Kirchlengern, Germany). Process visualization was done using Cmap Tools (Florida Institute for Human and Machine Cognition, Pensacola, FL, USA), and statistical analysis used MiniTab® (Minitab GmbH, Munich, Germany). The most critical elements identified during model building were the model logic, operating schedule, and processing times. These factors were graphically and statistically verified. To optimize the utilization of employees, three different shift systems were simulated, thereby revealing the advantages of two-shift and one-and-a-half-shift systems compared to a one-shift system. Without the need to interrupt any currently running production processes, we found that changing the shift system could save 50–53% of the campaign duration and 9–14% of the labor costs. In summary, we demonstrated that FlexSim, which is mainly used in logistics, can also be advantageously implemented for modeling and optimizing pharmaceutical production processes.

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