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.

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 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.

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.

Accuracy of Computer Simulation to Predict Patient Flow during Mass-Casualty Incidents

2008 ◽  
Vol 23 (4) ◽  
pp. 354-360 ◽  
Author(s):  
Jeffrey M. Franc-Law ◽  
Micheal J. Bullard ◽  
F. Della Corte
Keyword(s):  
Emergency Department ◽  
Computer Simulation ◽  
Patient Care ◽  
Patient Flow ◽  
Emergency Department Patient ◽  
Simulation Software ◽  
Simulated Patients ◽  
Disaster Plan ◽  
Data Set ◽  
Patient Database

AbstractIntroduction:Although most hospitals have an emergency department disas- ter plan, most never have been implemented in a true disaster or been tested objectively. Computer simulation may be a useful tool to predict emergency department patient flow during a disaster.Purpose:The aim of this study was to compare the accuracy of a computer simulation in predicting emergency department patient flow during a masscasualty incident with that of a real-time, virtual, live exercise.Methods:History, physical examination findings, and laboratory results for 136 simulated patients were extracted from the disastermed.ca patient database as used as input into a computer simulation designed to represent the emergency department at the University of Alberta Hospital.The computer simulation was developed using a commercially available simulation software platform (2005, SimProcess, CACI Products, San Diego CA). Patient flow parameters were compared to a previous virtual, live exercise using the same data set.Results:Although results between the computer simulation and the live exercise appear similar, they differ statistically with respect to many patient benchmarks. There was a marked difference between the triage codes assigned during the live exercise and those from the patient database; however, this alone did not account for the differences between the patient groups. It is likely that novel approaches to patient care developed by the live exercise group, which are difficult to model by computer software, contributed to differences between the groups. Computer simulation was useful, however, in predicting how small changes to emergency department structure, such as adding staff or patient care areas, can influence patient flow.Conclusions:Computer simulation is helpful in defining the effects of changes to a hospital disaster plan. However, it cannot fully replace participant exercises. Rather, computer simulation and live exercises are complementary, and both may be useful for disaster plan evaluation.

scholarly journals ДОСЛІДЖЕННЯ ПОКАЗНИКА ЕФЕКТИВНОСТІ ЕКСПЛУАТАЦІЇ ЗАСОБІВ ВИМІРЮВАЛЬНОЇ ТЕХНІКИ МЕТОДОМ КОМПʼЮТЕРНОГО МОДЕЛЮВАННЯ

2020 ◽  
pp. 166-169
Author(s):  
Олександр Володимирович Томашевський ◽  
Геннадій Валентинович Сніжной
Keyword(s):  
Computer Simulation ◽  
Distribution Function ◽  
Normal Distribution ◽  
Failure Rate ◽  
Random Variable ◽  
Operational Efficiency ◽  
Distribution Law ◽  
Maintenance System ◽  
Wide Range ◽  
Calibration Interval

The operational efficiency of measuring equipment (ME) is important in determining the cost of maintaining ME. To characterize the operational efficiency of the ME, an efficiency indicator has been introduced, an increase of which will reduce costs caused by the release of defective products due to the use of ME with unreliable indications. Over time, the ME parameters change under the influence of external factors and the ME aging processes inevitably occur, as a result of which the parameters of the ME metrological service system change. Therefore, in the general case, the parameters of the metrological maintenance system of ME should be considered as random variables. Accordingly, the efficiency indicator of measuring instruments is also a random variable, for the determination of which it is advisable to apply the methods of mathematical statistics and computer simulation. The performance indicator depends on the parameters of the metrological maintenance ME system, such as the calibration interval, the time spent by the ME on metrological maintenance, and the likelihood of ME failure-free operation. As a random variable, the efficiency indicator has a certain distribution function. To determine the distribution function of the efficiency indicator and the corresponding statistical characteristics, a computer simulation method was used. A study was made of the influence on the indicator of the effectiveness of the parameters of the metrological maintenance system ME (interesting interval, the failure rate of ME). The value of the verification interval and the failure rate of MEs varied over a wide range typical of real production. The time spent by ME on metrological services is considered as a random variable with a normal distribution law. To obtain random numbers with a normal distribution law, the Box-Muller method is used. After modeling, the statistical processing of the obtained results was done. It is shown that in real production, the efficiency indicator has a normal distribution law and the value of the efficiency indicator with an increase in the calibration interval does not practically change.

scholarly journals Convergence Issues of Hydrodynamic Models of Reservoir Pressure Maintenance Systems

2021 ◽  
Vol 135 (4) ◽  
pp. 32-35
Author(s):  
S. T. Zakenov ◽  
◽  
А. А. Yermekov ◽  
L. K. Nurshakhanova ◽  
Sh. Aijanova ◽  
...  
Keyword(s):  
Initial Data ◽  
Software Package ◽  
Reservoir Pressure ◽  
Hydraulic Characteristics ◽  
Hydrodynamic Models ◽  
Pipeline Network ◽  
Maintenance System ◽  
Maintenance Systems ◽  
Calculation Software

The article presents the problems of correctness of input of initial data, convergence of hydrodynamic models based on the results of calculating the hydraulic characteristics of the ground pipeline network of the reservoir pressure maintenance system using an automated calculation software package.

scholarly journals Identifikasi Pemeliharaan Vertical Garden di Fairmont Sanur Beach Bali

2021 ◽  
pp. 153
Author(s):  
Ni Luh Putu Ari Radinasuari ◽  
Cokorda Gede Alit Semarajaya ◽  
I Made Sukewijaya
Keyword(s):  
Study Data ◽  
Literature Study ◽  
Maintenance System ◽  
Epipremnum Aureum ◽  
Portulaca Grandiflora ◽  
Schefflera Arboricola ◽  
The Media ◽  
Maintenance Systems ◽  
Water Disposal ◽  
Maintenance Process

Maintenance Identification on Vertical Garden at Fairmont Sanur Beach Bali. Fairmont Sanur Beach Bali has a vertical garden with an area of 10 m x 4 m. The Hotel is able to maintain the plant condition. The purpose of this research is to identify the vertical garden maintenance system at the Fairmont Sanur Beach Bali. The research method uses survey and literature study methods. Data collection techniques are observation, interview, and literature study. Data analysis methods with descriptive methods and scoring tables. The results about the identification of vertical garden maintenance systems consist of watering, water disposal system, trimming, fertilizing, replanting plants, media replacement, sanitation, pest and disease control. Watering in 2 hours creating high humidity in the media. The volume of water released is not fully experienced evapotranspiration. The planting media do not experience drought during the day, so the plants keep fresh. In the calculation of plant suitability values, the corresponding values are Hemigraphis alternata. Plants with adequate value are Epipremnum aureum, Asparagus densiflorus, Ananas bracteatus tricolor, Schefflera Arboricola, and Portulaca grandiflora. In the maintenance process requires a fertigation system to facilitate fertilization. The use of automated systems such as timmers will simplify the maintenance and a more scheduled.

Enterprise Inventory Management and Simulation

2014 ◽  
Vol 933 ◽  
pp. 874-878
Author(s):  
Yun Rui Wang
Keyword(s):  
Computer Simulation ◽  
Supply Chain ◽  
Inventory Management ◽  
Simulation Software ◽  
Total Cost ◽  
The Third ◽  
Inventory Strategy ◽  
One Year ◽  
The Cost ◽  
Operation Cost

Inventory is an important link in supply chain, according to characteristics and objectives of inventory control, the reasonable safety inventory, order point, the highest inventory and inventory strategy were determined based on historical sales data. Using Witness simulation software, the optimal strategy was selected from nine inventory strategies by running simulation model for one year. If goods shortage was allowing, the seventh schemes (72000,158100) was better ,the minimum total cost was 888158 yuan ; considering allowing a small amount of shortage, the cost of eighth schemes ( 82000,158100) was least of 1095167; the third scenarios (92000,138100) was selected if without shortage, and the minimum total cost was 1254909 yuan. This shows, the application of computer simulation to assist in the management of inventory is scientific and feasible, it can help enterprises to save the order and operation cost.

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