scholarly journals A simulation model for comparison of an innovative hybrid system and the conventional cellular manufacturing

2021 ◽  
Author(s):  
Erika Valery Lopez Roa
Keyword(s):  
Simulation Model ◽  
Hybrid System ◽  
Processing Time ◽  
Job Shop ◽  
Cellular Manufacturing ◽  
Setup Time ◽  
Performance Measure ◽  
Cellular System ◽  
Mean Flowtime ◽  
New System

Cellular manufacturing has tested positive in significantly reducing material handling and setup time as compared to a job shop, but it falls behind job shop in terms of flexibility. In this thesis a new system is proposed that takes advantage of the flexibility of a job shop while it keeps the setup time at a reduced level. This new system is referred to as hybrid system. In this thesis the performance of the proposed hybrid system is compared to the conventional cellular manufacturing system. Both systems are evaluated within a cellular layout and utilize group sheduling rules DDSI (due date truncated shortest processing time) and MSSPT (minimum setup shortest processing time). A simulation model, with random due dates and quantities is developed and tested. Performance measures are mean flowtime, tardiness and earliness. Overall results indicate that, in terms of mean flowtime and tardiness, the hybrid system outperforms the cellular system when the MSSPT rule was applied, while the cellular system outperforms the hybrid system when the DDSI rule is implemented. With regard to the earliness performance measure, the cellular system shows in most cases better performance than the hybrid system, regardless of the scheduling rule used. Finally, the results indicate that the hybrid system performs better than the cellular system with respect to the number of parts produced.

scholarly journals A simulation model for comparison of an innovative hybrid system and the conventional cellular manufacturing

2021 ◽  
Author(s):  
Erika Valery Lopez Roa
Keyword(s):  
Simulation Model ◽  
Hybrid System ◽  
Processing Time ◽  
Job Shop ◽  
Cellular Manufacturing ◽  
Setup Time ◽  
Performance Measure ◽  
Cellular System ◽  
Mean Flowtime ◽  
New System

Cellular manufacturing has tested positive in significantly reducing material handling and setup time as compared to a job shop, but it falls behind job shop in terms of flexibility. In this thesis a new system is proposed that takes advantage of the flexibility of a job shop while it keeps the setup time at a reduced level. This new system is referred to as hybrid system. In this thesis the performance of the proposed hybrid system is compared to the conventional cellular manufacturing system. Both systems are evaluated within a cellular layout and utilize group sheduling rules DDSI (due date truncated shortest processing time) and MSSPT (minimum setup shortest processing time). A simulation model, with random due dates and quantities is developed and tested. Performance measures are mean flowtime, tardiness and earliness. Overall results indicate that, in terms of mean flowtime and tardiness, the hybrid system outperforms the cellular system when the MSSPT rule was applied, while the cellular system outperforms the hybrid system when the DDSI rule is implemented. With regard to the earliness performance measure, the cellular system shows in most cases better performance than the hybrid system, regardless of the scheduling rule used. Finally, the results indicate that the hybrid system performs better than the cellular system with respect to the number of parts produced.

Resource Allocation, Batching and Dispatching in a Stochastic Flexible Job Shop

2011 ◽  
Vol 264-265 ◽  
pp. 1758-1763 ◽  
Author(s):  
Umar M. Al-Turki ◽  
Shaikh Arifusalam ◽  
Mohammed El-Seliaman ◽  
Mehmood Khan
Keyword(s):  
Resource Allocation ◽  
Job Shop ◽  
Setup Time ◽  
Performance Measure ◽  
Optimal Number ◽  
Batch Size ◽  
Optimum Number ◽  
Flexible Job Shop ◽  
Dispatching Rule ◽  
Tardy Jobs

The problem of resource allocation and scheduling is considered for a flexible job shop composed of several work centers with multiple identical machines. Each machine has its own setup time that depends on the current and the arriving batch types. The optimal number of machines at each center and the optimal batch size for each job type is to be determined for several dispatching rule. The objective of the study is to assist the scheduler in selecting the best dispatching rule with respect to a desired performance measure along with its corresponding batch size and optimum number of machines in each center. Several measures are considered including the average flow time, sum of earliness and tardiness, and the number of tardy jobs. The simulation package ProModel is used to build the model and its optimization tool called SimRunner is used for optimization.

scholarly journals Simulation modeling and analysis of job release policies in scheduling an agile job shop with process sequence dependent setting time

2017 ◽  
Vol 7 (1.1) ◽  
pp. 177 ◽  
Author(s):  
K.T. Vinod ◽  
S. Prabagaran ◽  
O.A. Joseph
Keyword(s):  
Simulation Model ◽  
Job Shop ◽  
Statistical Tests ◽  
Setting Time ◽  
Performance Criteria ◽  
Analytical Models ◽  
Due Dates ◽  
Priority Rules ◽  
Work In Process ◽  
Sequence Dependent

This paper analyses the effects of job release policies, priority scheduling rules and setup times on the performance of a dynamic job shop in a sequence dependent setup time environment. Two job release policies namely, immediate job release and job release based on a specified work-in-process are investigated. A simulation model of a realistic manufacturing system is developed for detailed analysis. The dynamic total work content method is adopted to assign the due dates of jobs. Six priority rules are applied for prioritizing jobs for processing on machines. Several performance criteria are considered for analyzing the system performance. The simulation results are used to conduct statistical tests. Analytical models have been formulated to represent the simulation model for post-simulation studies. These models are found to yield a satisfactory estimation of the system outputs.

Cell Loading and Family Scheduling for Jobs with Individual Due Dates

2012 ◽  
pp. 1201-1219
Author(s):  
Gürsel A. Süer ◽  
Emre M. Mese
Keyword(s):  
Mathematical Modeling ◽  
Genetic Algorithm ◽  
Cellular Manufacturing ◽  
Optimal Solution ◽  
Performance Measure ◽  
Good Strategy ◽  
Due Dates ◽  
Cell Loading ◽  
Job Splitting ◽  
Tardy Jobs

In this chapter, cell loading and family scheduling in a cellular manufacturing environment is studied. What separates this study from others is the presence of individual due dates for every job in a family. The performance measure is to minimize the number of tardy jobs. Family splitting among cells is allowed but job splitting is not. Even though family splitting increases number of setups, it increases the possibility of meeting individual job due dates. Two methods are employed in order to solve this problem, namely Mathematical Modeling and Genetic Algorithms. The results showed that Genetic Algorithm found the optimal solution for all problems tested. Furthermore, GA is efficient compared to the Mathematical Modeling especially for larger problems in terms of execution times. The results of experimentation showed that family splitting was observed in all multi-cell solutions, and therefore, it can be concluded that family splitting is a good strategy.

scholarly journals A novel synthetic-genetic-array–based yeast one-hybrid system for high discovery rate and short processing time

2019 ◽  
Vol 29 (8) ◽  
pp. 1343-1351
Author(s):  
Chung-Shu Yeh ◽  
Zhifeng Wang ◽  
Fang Miao ◽  
Hongyan Ma ◽  
Chung-Ting Kao ◽  
...  
Keyword(s):  
Hybrid System ◽  
Processing Time ◽  
Synthetic Genetic Array ◽  
Short Processing Time

The Distribution Design and Dynamic Simulation Analysis of the Flow of the Transmission’s Cooling and Lubrication System

2014 ◽  
Vol 633-634 ◽  
pp. 1303-1310
Author(s):  
Jing Ke Du ◽  
Shu Han Wang ◽  
Ting Bin Song ◽  
Teng Teng Kang
Keyword(s):  
Simulation Model ◽  
Simulation Analysis ◽  
System Modeling ◽  
Flow Distribution ◽  
Lubrication System ◽  
System Flow ◽  
Set Up ◽  
Cooling And Lubrication ◽  
Test Result ◽  
New System

The bearing lubrication system flow distribution design of the transmission was realized with a new system modeling method, targeted at the problem of a certain type of transmission’s bearings’ sintering. The heat-generated model and the flow-required model of the bearings and the gears were set up, and the required lubrication flow was obtained. The simulation model of the system flow distribution was established, the simulation analysis toward the dynamic characteristic of the transmission’s lubrication flow’s distribution was performed, and the results of the simulation analysis and the test were analyzed comparatively. The result showed that the simulation model matched the test result well, proving the effectiveness and correctness of the model of the transmission’s flow distribution.

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