Innovative Ship Block Assembly Production Control Using a Flexible Curved Block Job Shop

2009 ◽  
Vol 25 (04) ◽  
pp. 206-213
Author(s):  
Fang Dong ◽  
Hoda Parvin ◽  
Mark P. Van Oyen ◽  
David J. Singer
Keyword(s):  
Production Control ◽  
Job Shop ◽  
High Variability ◽  
Service Industries ◽  
Assembly Process ◽  
Operational Flexibility ◽  
Queuing Network ◽  
Test Bed ◽  
Simulation Test ◽  
Assembly Production

Operational flexibility is a powerful but complex strategy that is increasingly used in manufacturing and service industries. We introduce operational flexibility to ship production as a method to alleviate the effects of delays that ultimately create issues such as high cost, high variability in production workload, ineffective production control, and resultant low facility use. Our emphasis is on how incorporating a flexible curved block job shop can, with appropriate control/scheduling, increase the efficiency and timeliness of the block assembly process for both flat and curved blocks and enhance the robustness of the shipbuilding system. We formulate a stochastic model of our approach, as a flexible controlled queuing network in particular, and we provide a simulation test bed to quantify the value of this flexibility.

Simulation of Power Line Communication Using OPNET for Vertical Fish Farm

2018 ◽  
pp. 139-164
Keyword(s):  
Efficient Algorithm ◽  
Large Scale ◽  
Network Simulation ◽  
Power Line ◽  
Fish Farm ◽  
Simulation Tool ◽  
Test Bed ◽  
Simulation Test ◽  
Large Scale System ◽  
Large Scale Simulations

OPNET is a network simulation tool which can simulate various elements in a network. It is able to analyze traffics and even can simulate security events recently. System designers can identify vulnerabilities or find an efficient algorithm/protocol that could reduce costs if simulations are performed prior to actual implementation/construction of a large-scale system. Thus, this chapter includes the method of simulating a PLC-system, designing a PLC-based vertical fish farm and an expandable simulation test bed with which students or researchers will be able simulate their implementation methods. With these methods, it will be possible to perform large-scale simulations.

scholarly journals A New Meta-Heuristic Algorithm for Solving the Flexible Dynamic Job-Shop Problem with Parallel Machines

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 165 ◽  
Author(s):  
Arun Sangaiah ◽  
Mohsen Suraki ◽  
Mehdi Sadeghilalimi ◽  
Seyed Bozorgi ◽  
Ali Hosseinabadi ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Parallel Machines ◽  
Job Shop ◽  
Two Dimensional ◽  
Scheduling Problems ◽  
Operational Flexibility ◽  
Machine Failure ◽  
Different Dimensions ◽  
First Time ◽  
Dynamic Job Shop

In a real manufacturing environment, the set of tasks that should be scheduled is changing over the time, which means that scheduling problems are dynamic. Also, in order to adapt the manufacturing systems with fluctuations, such as machine failure and create bottleneck machines, various flexibilities are considered in this system. For the first time, in this research, we consider the operational flexibility and flexibility due to Parallel Machines (PM) with non-uniform speed in Dynamic Job Shop (DJS) and in the field of Flexible Dynamic Job-Shop with Parallel Machines (FDJSPM) model. After modeling the problem, an algorithm based on the principles of Genetic Algorithm (GA) with dynamic two-dimensional chromosomes is proposed. The results of proposed algorithm and comparison with meta-heuristic data in the literature indicate the improvement of solutions by 1.34 percent for different dimensions of the problem.

Distribution of Artificial Intelligence in Digital Games

2015 ◽  
Vol 11 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Shaun Downey ◽  
Darryl Charles
Keyword(s):  
Artificial Intelligence ◽  
Computer Games ◽  
Virtual World ◽  
Digital Games ◽  
Test Bed ◽  
Simulation Test ◽  
Heuristic Function ◽  
Multi Agent ◽  
Applied Artificial Intelligence ◽  
The Ideal

This paper reports on the creation of an application capable of producing intelligent character behavior based on distribution of Artificial Intelligence. To develop, test and experiment on applied Artificial Intelligence, computer games are quickly becoming the ideal simulation test bed for the implementation of computer generated AI. The application of Artificial Intelligence algorithms create immersive game-play where human players can interact with non-player characters and interactions with the environment helps shape the way in which games are played. A-Star pathfinding utilizes a heuristic function implementing cost of moving through a virtual world, this actively affects how an agent responds to a situation and can alter its decision making. This paper describes the implementation of the A-Star algorithm combined with gameplay mechanics used to simulate multi-agent communication within a randomly generated game-world.

Studies in a Simulated Job Shop

1975 ◽  
Vol 189 (1) ◽  
pp. 417-426 ◽  
Author(s):  
Samuel Eilon ◽  
I. G. Chowdhury
Keyword(s):  
Waiting Time ◽  
Job Shop ◽  
Batch Size ◽  
Due Dates ◽  
Operational Flexibility ◽  
Time Intervals ◽  
Empirical Relationships ◽  
Regular Time ◽  
One Machine

The effectiveness of various scheduling or loading rules in a job shop has been widely studied through simulation, where a given shop can be subjected to alternative patterns of arrivals and processing. This study is particularly concerned with the case when arrivals are in batches, either of regular size or where the batch size is Poisson distributed, and when the batches arrive at regular time intervals, and certain empirical relationships between three loading rules are investigated. Two types of operational flexibility are examined, the first where more than one machine may perform a given operation and the second where changes in the sequence of operations are allowed, and the effect of such flexibilities on the expected job waiting time is determined. Finally, the effect of different procedures for determining due-dates for arriving jobs is investigated.

An Optimization Model for Manufacturing Systems in an Uncertain Environment

2015 ◽  
Author(s):  
Michael Mitnovitsky ◽  
Miri Weiss Cohen ◽  
Moshe Shpitalni
Keyword(s):  
Manufacturing Systems ◽  
Job Shop ◽  
Adaptive Control System ◽  
Operational Flexibility ◽  
Agent Based ◽  
Machine Breakdowns ◽  
Processing Times ◽  
Dynamic Events ◽  
Increase Productivity ◽  
Flexible Job Shop Problem

This paper examines a flexible job shop problem that considers dynamic events, such as stochastic job arrivals, uncertain processing times, unexpected machine breakdowns and the possibility of processing flexibility. To achieve this goal, a new agent-based adaptive control system has been developed at the factory level, along with advanced decision-making strategies that provide responsive factories with adaptation and reconfiguration capabilities and advanced complementary scheduling abilities. The aim is to facilitate operational flexibility and increase productivity as well as offer strategic advantages such as analysis of factory development options by simulation. The feasibility of the proposed system is demonstrated by simulation under various experimental settings, among them shop utilization level, due date tightness and breakdown level.

scholarly journals Minimizing Tardiness Penalty Costs in Job Shop Scheduling under Maximum Allowable Tardiness

Processes ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1398
Author(s):  
Jae-Gon Kim ◽  
Hong-Bae Jun ◽  
June-Young Bang ◽  
Jong-Ho Shin ◽  
Seong-Hoon Choi
Keyword(s):  
Job Shop ◽  
Job Shop Scheduling ◽  
Service Industries ◽  
Dispatching Rules ◽  
Scheduling Problem ◽  
Job Shop Scheduling Problem ◽  
Breach Of Contract ◽  
Shop Scheduling ◽  
Penalty Costs ◽  
Tardy Jobs

In many manufacturing or service industries, there exists maximum allowable tardiness for orders, according to purchase contracts between the customers and suppliers. Customers may cancel their orders and request compensation for damages, for breach of contract, when the delivery time is expected to exceed maximum allowable tardiness, whereas they may accept the delayed delivery of orders with a reasonable discount of price within maximum allowable tardiness. Although many research works have been produced on the job shop scheduling problem relating to minimizing total tardiness, none of them have yet considered problems with maximum allowable tardiness. In this study, we solve a job shop scheduling problem under maximum allowable tardiness, with the objective of minimizing tardiness penalty costs. Two kinds of penalty costs are considered, i.e., one for tardy jobs, and the other for canceled jobs. To deal with this problem within a reasonable time at actual production facilities, we propose several dispatching rules by extending well-known dispatching rules for the job shop scheduling problem, in cooperation with a probabilistic conception of those rules. To evaluate the proposed rules, computational experiments were carried out on 300 test instances. The test results show that the suggested probabilistic dispatching rules work better than the existing rules and the optimization solver CPLEX, with a time limit.

scholarly journals Research on the Modeling, Control, and Calibration Technology of a Tracked Vehicle Load Simulation Test Bench

2019 ◽  
Vol 9 (12) ◽  
pp. 2557
Author(s):  
Haoliang Lv ◽  
Xiaojun Zhou ◽  
Chenglong Yang ◽  
Zhe Wang ◽  
Yimeng Fu
Keyword(s):  
Test Bench ◽  
Control Method ◽  
Dynamic State ◽  
Test Bed ◽  
Simulation Test ◽  
Tracked Vehicle ◽  
Resistance Torque ◽  
Model Control ◽  
The Stability ◽  
Load Simulation

The load simulation test bench plays an important role in tracked vehicle development. The stability and accuracy of the system have a vital impact on the experimental results. To accurately reproduce the power performance of a tracked vehicle on the test platform, this paper aims to investigate the model, control, and calibration method of the test bench. Firstly, the dynamic model of a tracked vehicle under complex driving conditions is analyzed and established, which takes driving torque as the input and driving wheel speed as the output. Then, considering the uncertainties and disturbances in the system model, a 2-degree-of-freedom (2-DOF) control method combined with a disturbance observer is proposed to solve the stability problem of the system. Furthermore, in order to investigate the accuracy of the simulation on the test bed, a method of calibrating the system by a flywheel set with standard inertia is proposed. In the calibration process, the influence of the system resistance torque and the original mechanical inertia on the results is considered, and the response time of the inertia simulation is analyzed in both a steady and dynamic state. Finally, the load simulation test is carried out with the corrected system. The test results show that the system has a high load simulation accuracy under various load simulation tests.

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