Rapid simulation model building through classification of problems: A case of manufacturing assembly lines

2011 ◽  
Author(s):  
Z.R. Mahayuddin ◽  
B. Tjahjono
Keyword(s):  
Simulation Model ◽  
Model Building ◽  
Assembly Lines ◽  
Manufacturing Assembly

A Model for a Series Processing System

1967 ◽  
Vol 9 (1) ◽  
pp. 53-59
Author(s):  
Wellington E. Smith
Keyword(s):  
System Performance ◽  
Processing System ◽  
Predictive Ability ◽  
Performance Measure ◽  
Total System ◽  
Assembly Lines ◽  
Operator Performance ◽  
Total Performance ◽  
Manufacturing Assembly ◽  
System Effectiveness

Many processing systems, such as manufacturing assembly lines, can be described as a series of discrete operations performed on discrete units being processed. To evaluate the effectiveness of operators in such systems or to determine the best way to improve their performance, it is necessary to have a performance measure that relates to total system effectiveness. Current techniques measure operator performance in terms of time and errors, but they provide little predictive ability as to the effects of these parameters. To relate time and yield measures to a single criterion of system performance, a method has been developed for evaluating operator effectiveness in a series processing system that processes discrete items in large quantities. By recognizing and dealing with the fact that rejects at the end of series process are more expensive than at the beginning of the process, statements are developed for measuring performance in terms of its actual effect on the system. Concepts and methods are presented for measuring total system performance, performance of any segment of the system, total performance of any operator, and the effects of time and accuracy on operator performance.

Novel MILP Models for Scheduling Permutation Flowshops

2008 ◽  
Vol 3 (1) ◽  
Author(s):  
Suresh S Pitty ◽  
Iftekhar A Karimi
Keyword(s):  
Model Building ◽  
Evaluation Methodology ◽  
Mixed Integer ◽  
Test Problems ◽  
Small Problem ◽  
Numerical Studies ◽  
Computational Performance ◽  
Intermediate Storage ◽  
Scheduling Models

Flowshop scheduling via mixed integer linear programming (MILP) has received considerable attention in the past four decades. However, alternate models are limited; most numerical studies have used small problem sizes. A need for good model evaluation methodology exists; and limited work exists on flowshops with no intermediate storage. This paper presents a classification of flowshops and MILP scheduling models, and addresses some of these issues. It develops a host of new MILP formulations for minimizing makespan in a permutation flowshop with no storage and with or without unit setups. It presents some useful insights into model building by employing a variety of new and old binary variables and coupling them creatively. In contrast to previous work, it evaluates a range of new and existing MILP models using many larger test problems with no or unlimited intermediate storage, and presents a reliable procedure to rank various models based on problems with varying data and sizes. It shows that the top models for the two flowshops indeed show slightly different computational performance.

scholarly journals Unveiling the 3D undercover structure of a Precambrian intrusive complex by integrating airborne magnetic and gravity gradient data into 3D quasi-geology model building

2020 ◽  
Vol 8 (4) ◽  
pp. SS15-SS29 ◽  
Author(s):  
Jiajia Sun ◽  
Aline Tavares Melo ◽  
Jae Deok Kim ◽  
Xiaolong Wei
Keyword(s):  
High Resolution ◽  
Model Building ◽  
Country Rock ◽  
Joint Inversion ◽  
Sedimentary Cover ◽  
Geophysical Methods ◽  
Added Value ◽  
Gravity Gradient ◽  
Airborne Magnetic

Mineral exploration under a thick sedimentary cover naturally relies on geophysical methods. We have used high-resolution airborne magnetic and gravity gradient data over northeast Iowa to characterize the geology of the concealed Precambrian rocks and evaluate the prospectivity of mineral deposits. Previous researchers have interpreted the magnetic and gravity gradient data in the form of a 2D geologic map of the Precambrian basement rocks, which provides important geophysical constraints on the geologic history and mineral potentials over the Decorah area located in the northeast of Iowa. However, their interpretations are based on 2D data maps and are limited to the two horizontal dimensions. To fully tap into the rich information contained in the high-resolution airborne geophysical data, and to further our understanding of the undercover geology, we have performed separate and joint inversions of magnetic and gravity gradient data to obtain 3D density contrast models and 3D susceptibility models, based on which we carried out geology differentiation. Based on separately inverted physical property values, we have identified 10 geologic units and their spatial distributions in 3D which are all summarized in a 3D quasi-geology model. The extension of 2D geologic interpretation to 3D allows for the discovery of four previously unidentified geologic units, a more detailed classification of the Yavapai country rock, and the identification of the highly anomalous core of the mafic intrusions. Joint inversion allows for the classification of a few geologic units further into several subclasses. We have demonstrated the added value of the construction of a 3D quasi-geology model based on 3D separate and joint inversions.

Simulation Model of an Electromagnetic Multi-Coil Launcher for Micro Aerial Vehicles

2013 ◽  
Vol 198 ◽  
pp. 406-411 ◽  
Author(s):  
Mirosław Kondratiuk ◽  
Zdzisław Gosiewski
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Simulation Model ◽  
Nonlinear Model ◽  
Magnetic System ◽  
Micro Aerial Vehicles ◽  
Aerial Vehicles ◽  
Lumped Parameters ◽  
Braking Phase

The paper presents a model of the 10-coil launcher, which can be used as a catapult of micro aerial vehicles (MAVs). The main advantage of such a device is the possibility of controlling its acceleration. We have also shortly described main disadvantages of pneumatic and rubber launchers and compared them to our solution which involved magnetic phenomena. The history and the classification of magnetic launchers were also mentioned. The investigated magnetic system was described in details. The system voltage equations and energetic conversions which take place during the launch were presented. With the use of finite element method we calculated the lumped parameters of the system (self-and mutual inductances). Nonlinear model was implemented in the MATLAB packet. Launch operation was divided into an acceleration and a braking phase. Thus, nine coils operated as accelerators and the last one was employed as a magnetic brake. The system was controlled by means of PID regulators which were tuned manually. Current values in the modelled coils were also limited by bang-bang controllers. In the last part of the paper we presented results of simulations and discussion about possible improvements of the model in the future.

Simulation model building of traffic intersections

2009 ◽  
Vol 17 (4) ◽  
pp. 625-640 ◽  
Author(s):  
A. D’Ambrogio ◽  
G. Iazeolla ◽  
L. Pasini ◽  
A. Pieroni
Keyword(s):  
Simulation Model ◽  
Model Building ◽  
Traffic Intersections

Design of an advanced robotic vehicle evaluation laboratory

Robotica ◽  
1989 ◽  
Vol 7 (4) ◽  
pp. 281-287
Author(s):  
Richard E. Jarka ◽  
Zeinab A. Sabri ◽  
S. Keith Adams ◽  
Enju Liang ◽  
Michael Barnett ◽  
...  
Keyword(s):  
Field Tests ◽  
Wide Field ◽  
Assembly Lines ◽  
Monitoring Equipment ◽  
Military Industry ◽  
Hazardous Environments ◽  
Robotic Vehicles ◽  
Manufacturing Assembly ◽  
Robotic Vehicle ◽  
Advanced Robotics

SUMMARYRobotic vehicles have a wide field of applications in the civilian and military industry including manufacturing, assembly lines, security, operation in hostile environment, and testing. In the defense area, robotic vehicles have the potential for force multiplication and removing the soldier from hazardous environments on the battlefield. To make such vehicles avaialable requires research, development, testing and demonstration of advanced robotics and artificial intelligence (AI) technologies and systems. A realistic effort towards that objective requires the establishment of an advanced laboratory responsible for evaluation and development of subsystems and integration of the various elements into vehicles for field tests. Hence, requirements for the laboratory are given including a layout design and link analysis of the different components. As the first part of planning the laboratory, the technology was assessed to assure inclusion of the state-of-the-art equipment. Then, equipment requirements were defined, including interactions between pieces of equipment and providing for support, recording and monitoring equipment.

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