scholarly journals Production Planning Based on a Genetic Algorithm Controlled Simulation Model

2021 ◽  
pp. 233-243
Author(s):  
Alexey N. Sochnev
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Optimization Procedure ◽  
Simulation Models ◽  
Simulation Software ◽  
Simulation Approach ◽  
Fitness Functions ◽  
Optimization And Simulation ◽  
Plant Simulation ◽  
Positive Effect

The article proposes an approach to solving the task of operational calendar planning of production based on the application of the principles of the optimization and simulation approach. The production simulation model is implemented using the Tecnomatix Plant Simulation software. The optimization procedure is represented by a genetic algorithm. In the implementation of the genetic algorithm, a simulation model is used to evaluate fitness functions. An example of using the proposed approach for a typical production system is given and the positive effect of its application is confirmed. Features of use, positive and negative properties, as well as the possibility of replication to other types of simulation models are revealed

scholarly journals Simulation and Optimization of the VTC200C Machining Center Production Plan

TEM Journal ◽  
2020 ◽  
pp. 1295-1306
Author(s):  
Marian Králik ◽  
Vladimír Jerz
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Input Data ◽  
Simulation Software ◽  
Efficient Production ◽  
Production Plan ◽  
Output Data ◽  
Simulation And Optimization ◽  
Machining Center ◽  
Plant Simulation

The paper describes the use of the Plant Simulation software to create a simulation model of the manufacturing process in the VTC200C machining centre. A genetic algorithm was used to optimize the production process. It is an algorithm that learns itself and looks for the best solution based on input data. The optimization is done based on the assessment of the output data from the simulation model. Based on the results of the optimization, a more efficient production plan was designed in the selected company.

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.

scholarly journals A Simulation Approach for Optimising Energy-Efficient Driving Speed Profiles in Metro Lines

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6038
Author(s):  
Mariano Gallo ◽  
Marilisa Botte ◽  
Antonio Ruggiero ◽  
Luca D’Acierno
Keyword(s):  
Energy Consumption ◽  
Simulation Model ◽  
Travel Time ◽  
Energy Efficient ◽  
Energy Savings ◽  
Simulation Software ◽  
Gradient Algorithm ◽  
Simulation Approach ◽  
Driving Speed ◽  
Optimisation Model

We propose a model for optimising driving speed profiles on metro lines to reduce traction energy consumption. The model optimises the cruising speed to be maintained on each section between two stations; the functions that link the cruising speed to the travel time on the section and the corresponding energy consumption are built using microscopic railway simulation software. In addition to formulating an optimisation model and its resolution through a gradient algorithm, the problem is also solved by using a simulation model and the corresponding optimisation module, with which stochastic factors may be included in the problem. The results are promising and show that traction energy savings of over 25% compared to non-optimised operations may be achieved.

A simulation model for managing customer waiting time in restaurants: scenarios and beyond

2020 ◽  
Vol 122 (9) ◽  
pp. 2881-2894 ◽  
Author(s):  
Bahar Tasar ◽  
Keti Ventura ◽  
Ural Gokay Cicekli
Keyword(s):  
Simulation Model ◽  
Waiting Time ◽  
Simulation Software ◽  
Data Set ◽  
Content Type ◽  
Daily Average ◽  
Capacity Decisions ◽  
Time Standards ◽  
Number Of Customers ◽  
Positive Effect

PurposeThe purpose of this paper is to investigate the effects of capacity decisions regarding the number of servers/chefs and tables on identifying a change in the number of wait-related anxious customers, customer losses and customers served to meet the waiting time standards of an actual upscale restaurant.Design/methodology/approachThe authors applied a simulation model to present the consequences of restaurant capacity decisions based on waiting time standards. Arena Simulation Software, licensed by Rockwell Automation, was used for modeling and identifying distributions of the data set provided by the restaurant. An experiment was designed for an upscale restaurant with existing five servers/chefs and 50 tables by changing these resources to measure the changes in customers' wait-related anxiety and other service performance indicators.FindingsThe results showed that an additional server/chef on weekends decreases the daily average number of anxious customers by nearly 33% and increases the daily average number of customers served by nearly 3% and has a little positive effect of decreasing customer losses. Table insertion for high- and low-requested seating areas had an only positive effect on decreasing customer losses.Originality/valueIn this study, the service capacity is dependent on waiting time, and it is addressed to study the relationship with customers' wait-related anxiety, which is a subjective metric. This study developed a point of view for identifying anxious customers whose waiting times are much longer than their cooking and delivery duration expectations regarding their meal preferences in the cooking stage and waiting experiences in the service entry.

scholarly journals Constructing a Virtual Environment for Multibody Simulation Software Using Photogrammetry

2020 ◽  
Vol 10 (12) ◽  
pp. 4079 ◽  
Author(s):  
Manouchehr Mohammadi ◽  
Roope Eskola ◽  
Aki Mikkola
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Three Dimensional ◽  
Simulation Models ◽  
Simulation Software ◽  
Working Environment ◽  
University Campus ◽  
Environment Model ◽  
Time Simulation ◽  
Planar Images

Real-time simulation models based on multibody system dynamics can replicate reality with high accuracy. As real-time models typically describe machines that interact with a complicated environment, it is important to have an accurate environment model in which the simulation model operates. Photogrammetry provides a set of tools that can be used to create a three-dimensional environment from planar images. A created environment and a multibody-based simulation model can be combined in a Unity environment. This paper introduces a procedure to generate an accurate spatial working environment based on an existing real environment. As a numerical example, a detailed environment model is created from a University campus area.

scholarly journals Assisting a Public Transit Agency with Planning of Bus Schedules using Computer Simulation: A Collaborative Project between Cornell University and Tompkins Consolidated Area Transit (TCAT) in Ithaca, NY

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
Francis Vanek ◽  
Nirav Shah ◽  
Jonathan Helm ◽  
Abha Dubey ◽  
Wenshan Xu ◽  
...  
Keyword(s):  
Service Learning ◽  
Simulation Model ◽  
Engineering Students ◽  
Public Transit ◽  
Simulation Models ◽  
Simulation Software ◽  
Cornell University ◽  
Transit Agencies ◽  
Public Transit Agency ◽  
Schedule Change

In this paper we present results from a service learning project carried out by four Master of Engineering students in the School of Operations Research and Industrial Engineering at Cornell University during the 2003-2004 academic year, on behalf of the local transit agency, TCAT. The project participants developed a simulation model to evaluate schedule changes and applied it to a proposed shortening of the time between bus arrivals, or “headway”, on TCAT’s Route 81 circulator bus that serves the Cornell campus in Ithaca, NY. The model was developed by adapting a commercial simulation software package called ProModel that is usually used to simulate the layout of manufacturing facilities. Use of the simulation model helped TCAT planners better understand the implications of the proposed schedule change to segment-by-segment passenger counts at stops and on-board vehicles. Based on our experience, we discuss a number of issues both with the development of simulation models for transit operations and the practice of collaboration between university students and faculty and public transit agencies.

scholarly journals Identification of production bottlenecks with the use of Plant Simulation software

2016 ◽  
Vol 8 (4) ◽  
pp. 103-112 ◽  
Author(s):  
Mateusz Kikolski
Keyword(s):  
Computer Simulation ◽  
Production Capacity ◽  
Simulation Models ◽  
Simulation Software ◽  
Computer Assisted ◽  
Problem Analysis ◽  
Production Lines ◽  
Major Objective ◽  
Plant Simulation ◽  
Research Show

Abstract The problem of bottlenecks is a key issue in optimising and increasing the efficiency of manufacturing processes. Detecting and analysing bottlenecks is one of the basic constraints to the contemporary production enterprises. The enterprises should not ignore problems that significantly influence the efficiency of the processes. People responsible for the proper course of production try to devise methods to eliminate bottlenecks and the waiting time at the production line. The possibilities of production lines are limited by the throughput of bottlenecks that disturb the smoothness of the processes. The presented results of the experimental research show the possibilities of a computer simulation as a method for analysing problems connected with limiting the production capacity. A computer-assisted simulation allows for studying issues of various complexities that could be too work-consuming or impossible while using classic analytical methods. The article presents the results of the computer model analysis that involved the functioning of machinery within a chosen technological line of an enterprise from a sanitary sector. The major objective of the paper is to identify the possibility of applying selected simulation tool while analysing production bottlenecks. An additional purpose is to illustrate the subjects of production bottlenecks and creating simulation models. The problem analysis involved the application of the software Tecnomatix Plant Simulation by Siemens. The basic methods of research used in the study were literature studies and computer simulation.

Construct a computer simulation model to replicate CT operations for decreasing delayed procedure starts.

2014 ◽  
Vol 32 (30_suppl) ◽  
pp. 132-132
Author(s):  
Ranganath K. Iyer ◽  
Joseph Rodgers Steele ◽  
Habib Tannir ◽  
Steve Venable
Keyword(s):  
Simulation Model ◽  
Discrete Event ◽  
Wait Time ◽  
Simulation Models ◽  
Simulation Software ◽  
Operating Efficiency ◽  
Computer Simulation Model ◽  
Ct Scanner ◽  
Additional Time ◽  
The Impact

132 Background: Patients scheduled to undergo computed tomography (CT) should be treated expeditiously and not delayed owing to a lack of either CT scanner capacity or available staff. Delayed scanning affects both patients and staff in several ways. First, patients are unhappy that they have to wait. Also, delayed scanning makes patient late for their next appointments or other events, which affects the downstream departments’ capability to operate effectively and efficiently. In addition, radiologists and their staff have to commit additional time and resources to processing patients on time. Finally, variability in the placement of patients reduces the scanner’s operating efficiency. The aim of this initiative is to optimize the appointment template using simulation software to reduce the rate of delayed CT procedures by 25% or more by the end of 2014. Methods: To further understand the CT queuing process, we hired 2 graduate students to create a simulation model using the data collected from the operations study. The simulation study modeled patients’ experience from their arrival to discharge and the steps were: (a) performed elemental analysis for each process; (b) cceated value stream map; (c) created high-level simulation model and “mini model” using operational data. The simulation models were presented to department leaders, who approved them. The models clearly showed that the time patients spent on the CT scanner was the bottleneck. Results: Changes in the CT area that have impacted on-time starts and average wait time include: (a) new fast-track for no interview patients and (b) changes in staffing hours. Progress and improvement include (a.) On-time delays decreased by 18% and (b.) a verage wait decreased by 8 minutes (19%). Conclusions: Discrete event simulation accounts for the probabilities and uncertainties associated with the processes and helps create a visual model of the work area. This adds confidence to decision makers’ ability to make decisions that have high impact. Also, the models can be used to test changes in the processes and study the impact on other processes without making true operational changes that could potentially waste resources and time.

scholarly journals Fine Description of Multi-Process Operation Behavior in Steelmaking-Continuous Casting Process by a Simulation Model with Crane Non-Collision Constraint

Metals ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 1078 ◽  
Author(s):  
Yang ◽  
Zhang ◽  
Guan ◽  
Hong ◽  
Gao ◽  
...  
Keyword(s):  
Continuous Casting ◽  
Simulation Model ◽  
Production Scheduling ◽  
Casting Process ◽  
Simulation Software ◽  
Continuous Casting Process ◽  
Proposed Model ◽  
Dynamic Simulation Model ◽  
Process Operation ◽  
Plant Simulation

The fine description of multi-process operation behavior in steelmaking-continuous casting process is an important foundation for the improvement of production scheduling in steel plants. With sufficient consideration on non-collision movements among cranes, a dynamic simulation model is established by Plant Simulation software to describe the operation behavior of multi-process in the steelmaking-continuous casting process of lacking refining span. The design and implement of simulation are illustrated based on a typical workshop layout of “one converter-one refining furnace-one caster”. The method to avoid the collisions between adjacent cranes is represented in detail. To validate the availability of this model, an actual steel plant without refining span is studied, and simulation experiments are conducted by introducing actual production plans as simulation instances. The simulated findings agree well with the actual results of interest, including the total completed times of simulation instances, the turnover number of ladles, and the transfer times of heats among different processes. Hence, the proposed model can reliably simulate the multi-process operation behavior in steelmaking-continuous casting process.

The Industry Assembly Line Layout’s Modeling and Simulation in Industry Manufacturing Based on Genetic Algorithm

2013 ◽  
Vol 675 ◽  
pp. 3-7
Author(s):  
Fang Guo ◽  
Zhi Hong Huang
Keyword(s):  
Genetic Algorithm ◽  
Modeling And Simulation ◽  
Equilibrium Problem ◽  
Assembly Line ◽  
Simulation Software ◽  
Heuristic Procedure ◽  
Plant Simulation ◽  
Line Design

The equilibrium problem is one important aspect of industry assembly line design. This paper puts forward the method to solve the industry assembly line’s equilibrium problem based on the genetic algorithm’s heuristic procedure and on this basis it also optimizes the industry assembly line’s layout and synthetically considers the material carrying cost, plant area’s use ratio and other factors in industry manufacturing. Then it optimizes by eM-Plant simulation software and combining with genetic algorithm to efficiently acquire visual and satisfying layout effects. At last, it uses examples of industry assembly line to verify this method’s feasibility.

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