scholarly journals Application of Semi-Analytical Methods in Production Systems Engineering

2020 ◽  
Vol 14 (3) ◽  
pp. 360-364
Author(s):  
Viktor Ložar ◽  
Filip Abdulaj ◽  
Tihomir Opetuk ◽  
Neven Hadžić ◽  
Hrvoje Cajner
Keyword(s):  
Systems Engineering ◽  
Production System ◽  
Analytical Approach ◽  
Production Systems ◽  
Numerical Approach ◽  
Paint Shop ◽  
Production Lines ◽  
Aggregation Method ◽  
Advantages And Disadvantages ◽  
Automotive Paint

Production lines can be designed by an analytical, semi-analytical, or numerical approach. This paper gives a brief introduction to the analytical approach of a single buffer line, the aggregation method, and the analytical approach of a multi-buffer line. An automotive paint shop production system will be used as a figurative example to compare the aggregation method and the recently developed analytical approach for a multi-buffer line. A discussion at the end will show the advantages and disadvantages of the analytical approach.

scholarly journals Accuracy of Semi-Analytical and Numerical Approaches in the Evaluation of Serial Bernoulli Production Lines

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1461
Author(s):  
Viktor Ložar ◽  
Neven Hadžić ◽  
Tihomir Opetuk ◽  
Vedran Slapničar
Keyword(s):  
Performance Measures ◽  
Analytical Approach ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Numerical Approach ◽  
Production Lines ◽  
State Behavior ◽  
Finite State ◽  
State Method ◽  
Numerical Approaches

The manufacturing industry has a great impact on the economic growth of countries. It is, therefore, crucial to master the skills of the production system by mathematical tools that enable the evaluation of the production systems’ performance measures. Four mathematical approaches toward the modeling of steady-state behavior of serial Bernoulli production lines were considered in this study, namely, the analytical approach, the finite state method, the aggregation procedure, and numerical modeling. The accuracy of the performance measures determined using the semi-analytical methods and the numerical approach was validated using numerous theoretical examples and the results obtained using the analytical model. All of the considered methods demonstrated relevant reliability, regardless of the different theoretical backgrounds.

Scheduling of Machine Startup and Shutdown to Reduce Energy Consumption in Bernoulli Production Lines

2012 ◽  
Author(s):  
Guorong Chen ◽  
Liang Zhang ◽  
Jorge Arinez ◽  
Stephan Biller
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Production Systems ◽  
Numerical Study ◽  
Effective Control ◽  
Efficient Production ◽  
Reliability Model ◽  
Production Lines ◽  
Finite Buffers ◽  
Automotive Paint

Effective control of production operations usually leads to improved energy efficiency in manufacturing systems. In this paper, we investigate energy consumption reduction in production systems by scheduling of machine startup and shutdown. Specifically, we consider serial production lines with finite buffers and machines having Bernoulli reliability model. This machine reliability model is applicable in production situations, where the downtime is relatively short and comparable to machine cycle time (e.g., automotive paint shops and general assembly). Using transient analysis of the systems at hand, an analytical performance evaluation technique is developed for Bernoulli serial lines with time-dependent machine efficiencies. In addition, trade-off between productivity and energy-efficiency in production systems is discussed and the energy-efficient production problem is formulated as a constrained optimization problem. The effects and practical implications of operations schedule are demonstrated using a numerical study on automotive paint shop operations.

scholarly journals Modeling, engineering and management training institutions

2019 ◽  
Vol 9 (14) ◽  
Author(s):  
CHRISTIAN CLEMENTZ ◽  
CLAUDE POURCEL
Keyword(s):  
Systems Engineering ◽  
Production System ◽  
Production Systems ◽  
Management Training ◽  
Knowledge And Skills ◽  
Educational Establishment ◽  
Training Institutions ◽  
To Come

Production systems engineering is made easier thanks to the potential schematizing of the various processes at work. Monitoring these processes enables to come up to our expectations. In this paper, we are trying to show that an educational establishment functions like any production system as far as processes are concerned. We voluntarily mask the practical working of a class in order to identify more clearly the working of a knowledge and skills pattern. Here we want to put forward a pattern as well as an approach capable of identifying the processes at work in any educational establishment.

scholarly journals Statistical Evaluation of Semi-Analytical, Analytical, and Numerical Models of the Serial Production Lines

2021 ◽  
Vol 15 (3) ◽  
pp. 417-421
Author(s):  
Viktor Ložar ◽  
Tihomir Opetuk ◽  
Hrvoje Cajner ◽  
Neven Hadžić ◽  
Jerolim Andrić
Keyword(s):  
Analytical Approach ◽  
Manufacturing Industry ◽  
Numerical Models ◽  
Numerical Approach ◽  
Production Lines ◽  
Serial Production ◽  
Finite State ◽  
State Method ◽  
Serial Production Lines ◽  
Full Factorial

Production lines are the backbone of the manufacturing industry. To gain the best profit out of a line it is necessary to design each line using the production system engineering. Therefore, three approaches can be used, the numerical, the analytical, and the semi-analytical approach. The aggregation method, finite state method, and the numerical approach are statistically compared concerning the analytical approach using the STATISTICA software. We analyzed the interaction between the input data and the output data for the finite state method in an illustrative example, using a full factorial design and the Design Expert software

Production system design to achieve energy savings in an automotive paint shop

2011 ◽  
Vol 49 (22) ◽  
pp. 6769-6785 ◽  
Author(s):  
Claudia Arenas Guerrero ◽  
Junwen Wang ◽  
Jingshan Li ◽  
Jorge Arinez ◽  
Stephan Biller ◽  
...  
Keyword(s):  
System Design ◽  
Production System ◽  
Energy Savings ◽  
Paint Shop ◽  
Automotive Paint ◽  
Production System Design

scholarly journals A Comparative Study of Unbalanced Production Lines Using Simulation Modeling: A Case Study for Solar Silicon Manufacturing

2022 ◽  
Vol 14 (2) ◽  
pp. 697
Author(s):  
Chen-Yang Cheng ◽  
Shu-Fen Li ◽  
Chia-Leng Lee ◽  
Ranon Jientrakul ◽  
Chumpol Yuangyai
Keyword(s):  
Cycle Time ◽  
Performance Optimization ◽  
Production System ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Optimization Technique ◽  
Production Lines ◽  
Work In Process ◽  
Pull Production ◽  
Solar Silicon

In the solar silicon manufacturing industry, the production time for crystal growth is ten times longer than at other workstations. The pre-processing time at the ingot-cutting station causes work-in-process (WIP) accumulation and an excessively long cycle time. This study aimed to find the most effective production system for reducing WIP accumulation and shortening the cycle time. The proposed approach considered pull production systems, and the response surface methodology was adopted for performance optimization. A simulation-based optimization technique was used for determining the optimal pull production system. The comparison between the results of various simulated pull production systems and those of the existing solar silicon manufacturing system showed that a hybrid production system in which a kanban station was installed before the bottleneck station with a CONWIP system incorporated for the rest of the production line could reduce the WIP volume by 26% and shorten the cycle time by 16% under the same throughput conditions.

BiDrac Industry 4.0 framework: Application to an Automotive Paint Shop Process

2021 ◽  
Vol 109 ◽  
pp. 104757
Author(s):  
Elma Sanz ◽  
Joaquim Blesa ◽  
Vicenç Puig
Keyword(s):  
Industry 4.0 ◽  
Paint Shop ◽  
Automotive Paint

scholarly journals Soil Bacterial Community Diversity and Composition as Affected by Tillage Intensity Treatments in Corn-Soybean Production Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 157-172
Author(s):  
Shankar G. Shanmugam ◽  
Normie W. Buehring ◽  
Jon D. Prevost ◽  
William L. Kingery
Keyword(s):  
Microbial Community ◽  
Bacterial Community ◽  
Community Composition ◽  
Production System ◽  
Soil Microbial Community ◽  
Production Systems ◽  
Bacterial Community Composition ◽  
Soybean Production ◽  
Soil Microbial ◽  
Soil Bacterial

Our understanding on the effects of tillage intensity on the soil microbial community structure and composition in crop production systems are limited. This study evaluated the soil microbial community composition and diversity under different tillage management systems in an effort to identify management practices that effectively support sustainable agriculture. We report results from a three-year study to determine the effects on changes in soil microbial diversity and composition from four tillage intensity treatments and two residue management treatments in a corn-soybean production system using Illumina high-throughput sequencing of 16S rRNA genes. Soil samples were collected from tillage treatments at locations in the Southern Coastal Plain (Verona, Mississippi, USA) and Southern Mississippi River Alluvium (Stoneville, Mississippi, USA) for soil analysis and bacterial community characterization. Our results indicated that different tillage intensity treatments differentially changed the relative abundances of bacterial phyla. The Mantel test of correlations indicated that differences among bacterial community composition were significantly influenced by tillage regime (rM = 0.39, p ≤ 0.0001). Simpson’s reciprocal diversity index indicated greater bacterial diversity with reduction in tillage intensity for each year and study location. For both study sites, differences in tillage intensity had significant influence on the abundance of Proteobacteria. The shift in the soil bacterial community composition under different tillage systems was strongly correlated to changes in labile carbon pool in the system and how it affected the microbial metabolism. This study indicates that soil management through tillage intensity regime had a profound influence on diversity and composition of soil bacterial communities in a corn-soybean production system.

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