Analysis of the Influence of Standard Time Variability on the Reliability of the Simulation of Assembly Operations in Manufacturing Systems

2019 ◽  
Vol 61 (4) ◽  
pp. 627-641
Author(s):  
Rafaela Heloisa Carvalho Machado ◽  
André Luis Helleno ◽  
Maria Célia de Oliveira ◽  
Mário Sérgio Corrêa dos Santos ◽  
Renan Meireles da Costa Dias
Keyword(s):  
Manufacturing Systems ◽  
Discrete Event ◽  
Data Availability ◽  
Time Variability ◽  
Actual Process ◽  
Standard Time ◽  
Real Process ◽  
Assembly Operations ◽  
The Impact ◽  
Line Design

Objective: The aim of this article is to analyze the influence of the variability of the standard time in the simulation of the assembly operations of manufacturing systems. Background: Discrete event simulation (DES) has been used to provide efficient analysis during the design of a process or scenario. However, the modeling activities of new configurations face the problem of data availability and reliability when it comes to seeking standard times that are effective in representing the actual process under analysis, especially when the process cannot be monitored. Method: The methods-time measurement (MTM) is used as a source of standard times for simulation. Assembly activities were performed at a Learning Factory facility, which provided the necessary structure for simulating real production processes. Simulation performances using different variability of standard times were analyzed to define the impact of data characteristics. Results: The MTM standard time presented an error of approximately 5%. The definition of the data variability of standard times and the statistical distribution impacts were shown in the simulation results, with errors above 6% being observed, interfering with the model reliability. Conclusion: Based on the study, to increase the adherence of a simulation to represent a real process, it is recommended to use triangular distributions with central values greater than those established via the MTM for the representation of the standard times of new assembly processes or scenarios using DES. Application: The study contributions can be applied in assembly line design, providing a reliable model representing real processes and scenarios.

A Methodology to Evaluate Complex Manufacturing Systems through Discrete-Event Simulation Models

2012 ◽  
Vol 502 ◽  
pp. 7-12 ◽  
Author(s):  
L.P. Ferreira ◽  
E. Ares ◽  
G. Peláez ◽  
M. Marcos ◽  
M. Araújo
Keyword(s):  
Discrete Event Simulation ◽  
Manufacturing Systems ◽  
Discrete Event ◽  
Simulation Models ◽  
Network Configuration ◽  
Event Simulation ◽  
Automobile Assembly ◽  
Loop Network ◽  
Complex Manufacturing Systems ◽  
The Impact

This paper proposes a methodology to analyze complex manufacturing systems, based on discrete-event simulation models. The methodology was validated by performing different simulation experiments and will be applied to a multistage multiproduct production line, based on a real case, with a closed-loop network configuration of machines and intermediate buffers consisting of conveyors, which is very common in the automobile sector. A simulation model in an Arena environment was developed, which allowed for an analysis of the important aspects not yet studied in specialized literature, namely the assessment of the impact of the production sequence on the automobile assembly line. Various sequence rules were analyzed and the performance of each of the corresponding simulation models was registered.

Decision Support Model for Production Disturbance Estimation

2014 ◽  
Vol 13 (03) ◽  
pp. 623-647 ◽  
Author(s):  
Ioan Felea ◽  
Simona Dzitac ◽  
Tiberiu Vesselenyi ◽  
Ioan Dzitac
Keyword(s):  
Manufacturing Systems ◽  
Discrete Event ◽  
Economic Consequences ◽  
Decision Support Model ◽  
Modeling Framework ◽  
Dynamic Evaluation ◽  
Stochastic Fluid Models ◽  
Infinitesimal Disturbance ◽  
Quality Of Products ◽  
The Impact

A current modeling framework for disturbance in manufacturing systems (MS) is given by concepts like discrete-event systems, stochastic fluid models and infinitesimal disturbance analysis. The goal of modeling is to achieve control and structural and functional optimization of MS. Objective functions of these optimization models are focused on quantities which reflect the level of reliability, the level of manufactured products, the quality of products or the impact on the environment of MS with disturbances. These models do not allow a dynamic evaluation of consequences of the disturbances which appears in the operation of MS machines and also do not allow an evaluation of the evolution in time of disturbance consequence indicators. Disturbances in technological lines of MS represent local bottlenecks of production with severe economic consequences in what regards production time losses. Good estimation of disturbances dynamics can be very helpful to both technological line designers, who can optimize their projects and production managers who can minimize their losses. Our model allows a dynamic evaluation of consequences of some disturbance of machine operation in MS, using indicators based on time, energy and costs. A MATLAB software package was developed for tests.

scholarly journals The impact of the collaborative workplace on the production system capacity: Simulation modelling vs. real-world application approach

2021 ◽  
Vol 16 (4) ◽  
pp. 431-442
Author(s):  
R. Ojstersek ◽  
A. Javernik ◽  
B. Buchmeister
Keyword(s):  
Real World ◽  
Production System ◽  
Manufacturing Systems ◽  
Cost Effective ◽  
Simulation Modelling ◽  
System Capacity ◽  
Manual Assembly ◽  
Production Capacities ◽  
Assembly Operations ◽  
The Impact

In recent years, there have been more and more collaborative workplaces in different types of manufacturing systems. Although the introduction of collaborative workplaces can be cost-effective, there is still much uncertainty about how such workplaces affect the capacity of the rest of production system. The article presents the importance of introducing collaborative workplaces in manual assembly operations where the production capacities are already limited. With the simulation modelling method, the evaluation of the introduction impact of collaborative workplaces on manual assembly operations that represent bottlenecks in the production process is presented. The research presents two approaches to workplace performance evaluation, both simulation modelling and a real-world collaborative workplace example, as a basis of a detailed time study. The main findings are comparisons of simulation modelling results and a study of a real-world collaborative workplace, with graphically and numerically presented parameters describing the utilization of production capacities, their efficiency and financial justification. The research confirms the expediency of the collaborative workplaces use and emphasise the importance of further research in the field of their technological and sociological impacts.

scholarly journals The Impact of the Availability of Resources, the Allocation of Buffers and Number of Workers on the Effectiveness of an Assembly Manufacturing System

2017 ◽  
Vol 8 (3) ◽  
pp. 40-49 ◽  
Author(s):  
Sławomir Kłos ◽  
Peter Trebuna
Keyword(s):  
Computer Simulation ◽  
Production System ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Simulation Methods ◽  
Manufacturing Cells ◽  
Work In Progress ◽  
Assembly Operations ◽  
Buffer Capacities ◽  
The Impact

AbstractThis paper proposes the application of computer simulation methods in order to analyse the availability of resources, buffers and the impact of the allocation of workers on the throughput andwork-in-progressof a manufacturing system. The simulation model of the production system is based on an existing example of a manufacturing company in the automotive industry. The manufacturing system includes both machining and assembly operations. Simulation experiments were conductedvis-à-visthe availability of the different manufacturing resources, the various allocations of buffer capacities and the number of employees. The production system consists of three manufacturing cells –each cell including two CNC machines– and two assembly stations. The parts produced by the manufacturing cells are stored in buffers and transferred to the assembly stations. Workers are allocated to the manufacturing cells and assembly stations, but the number of workers may be less than number of workplaces and are thus termed ‘multi-workstations’. Using computer simulation methods, the impact of the availability of resources, the number of employees and of the allocation of buffer capacity on the throughput andwork-in-progressof the manufacturing system is analysed. The results of the research are used to improve the effectiveness of manufacturing systems using a decision support system and the proper control of resources. Literature analysis shows that the study of the impact of buffer capacities, availability of resources and the number of employees on assembly manufacturing system performance have not been carried out so far.

Quantitative Analysis of the Impact of Inter-Line Conveyor Capacity for Throughput of Manufacturing Systems

2021 ◽  
Vol 11 (1) ◽  
pp. 1-17
Author(s):  
Priyanka Raosaheb Dhurpate ◽  
Herman Tang
Keyword(s):  
Quantitative Analysis ◽  
Manufacturing Systems ◽  
Discrete Event ◽  
New Approach ◽  
Event Simulation ◽  
System A ◽  
Automotive Assembly ◽  
Random Failure ◽  
The Impact

The objective of this study is to identify the impact of an inter-line conveyor on the throughput performance of manufacturing systems and determine the capacity of an inter-line conveyor to improvise productivity. First, manufacturing system for an automotive assembly line is modeled by adopting the methodology of two lines with an inter-line conveyor system. A quantitative analysis of an inter-line conveyor capacity is carried out under different conditions and capacities using discrete event simulation (DES). The initial results are obtained to justify the purpose of an inter-line conveyor followed by introducing a random failure of a station for the duration of 10 minutes, 30 minutes, and catastrophic breakdown of two hours at upstream and downstream line separately. The case study outcomes show that, 20 unit is an optimum capacity resulting in improved productivity. The findings of the different stoppage and catastrophic breakdown study show the buffering of an inter-line conveyor may serve as a new approach and guideline to the buffer stack design and scheduling maintenance.

THE IMPACT OF INTELLIGENT TOOLS ON SIMULATION METHODOLOGY

1996 ◽  
Vol 06 (01) ◽  
pp. 135-158 ◽  
Author(s):  
PAUL A. SAVORY ◽  
GERALD T. MACKULAK
Keyword(s):  
Manufacturing Systems ◽  
Stochastic Systems ◽  
Simulation Analysis ◽  
Discrete Event ◽  
Computer Software ◽  
Simulation Environment ◽  
Simulation Methodology ◽  
Intelligent Simulation ◽  
Intelligent Tools ◽  
The Impact

Simulation is one of the most effective techniques for analyzing stochastic systems. Recent computer software and hardware advances have had an important impact on the traditional discrete-event simulation methodology. Intelligent simulation environments consisting of integrated sets of “intelligent” tools for performing simulation studies have emerged. These tools significantly impact the methodology of a simulation analysis. This paper defines these intelligent tools and discusses how they alter the simulation paradigm by illustrating the development of a simulation model using an intelligent simulation environment. Special emphasis is on how an intelligent simulation environment provides a responsive analysis technique for studying manufacturing systems.

scholarly journals Robust Engineering for the Design of Resilient Manufacturing Systems

2021 ◽  
Vol 11 (7) ◽  
pp. 3067
Author(s):  
Dimitris Mourtzis ◽  
John Angelopoulos ◽  
Nikos Panopoulos
Keyword(s):  
Production System ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Low Cost ◽  
Discrete Event ◽  
Research Work ◽  
Real Data ◽  
Potential System ◽  
The Individual ◽  
The Impact

As the industrial requirements change rapidly due to the drastic evolution of technology, the necessity of quickly investigating potential system alternatives towards a more efficient manufacturing system design arises more intensely than ever. Production system simulation has proven to be a powerful tool for designing and evaluating a manufacturing system due to its low cost, quick analysis, low risk and meaningful insight that it may provide, improving the understanding of the influence of each component. In this research work, the design and evaluation of a real manufacturing system using Discrete Event Simulation (DES), based on real data obtained from the copper industry is presented. The current production system is modelled, and the real production data are analyzed and connected. The impact identification of the individual parameters on the response of the system is accomplished towards the selection of the proper configurations for near-optimum outcome. Further to that, different simulation scenarios based on the Design of Experiments (DOE) are studied towards the optimization of the production, under predefined product analogies.

Motivating Compliance: Firm Response to Mandatory Disclosure Policies

2018 ◽  
Vol 32 (2) ◽  
pp. 103-119
Author(s):  
Colleen M. Boland ◽  
Chris E. Hogan ◽  
Marilyn F. Johnson
Keyword(s):  
Conflict Of Interest ◽  
Low Cost ◽  
Cost Effective ◽  
Data Availability ◽  
Policy Adoption ◽  
Future Research ◽  
Regulated Firms ◽  
Firm Response ◽  
Disclosure Rules ◽  
The Impact

SYNOPSIS Mandatory existence disclosure rules require an organization to disclose a policy's existence, but not its content. We examine policy adoption frequencies in the year immediately after the IRS required mandatory existence disclosure by nonprofits of various governance policies. We also examine adoption frequencies in the year of the subsequent change from mandatory existence disclosure to a disclose-and-explain regime that required supplemental disclosures about the content and implementation of conflict of interest policies. Our results suggest that in areas where there is unclear regulatory authority, mandatory existence disclosure is an effective and low cost regulatory device for encouraging the adoption of policies desired by regulators, provided those policies are cost-effective for regulated firms to implement. In addition, we find that disclose-and-explain regulatory regimes provide stronger incentives for policy adoption than do mandatory existence disclosure regimes and also discourage “check the box” behavior. Future research should examine the impact of mandatory existence disclosure rules in the year that the regulation is implemented. Data Availability: Data are available from sources cited in the text.

Market Reactions to a High-Quality Auditor and Managerial Preference for Audit Quality

2019 ◽  
Vol 38 (4) ◽  
pp. 131-149 ◽  
Author(s):  
Patrick J. Hurley ◽  
Brian W. Mayhew
Keyword(s):  
Loss Aversion ◽  
Audit Quality ◽  
Data Availability ◽  
Quality Competition ◽  
High Quality ◽  
Market Reactions ◽  
Comprehensive Theory ◽  
Audit Reports ◽  
The Impact ◽  
Quality Theory

SUMMARY We insert an automated high-quality (HQ) auditor into established experimental audit markets to test the impact of high-quality competition on other auditors' supply of and managers' demand for audit quality. Theory predicts that managers will demand high levels of audit quality to avoid investors' price-protecting behavior. This demand should result in the HQ auditor dominating the market and increase other auditors' audit quality provision to compete with the HQ auditor. However, we find that the HQ auditor does not dominate the market—despite holding audit costs constant and investors placing a premium on HQ auditor reports. We also find that adding an HQ auditor results in other auditors lowering audit quality. Additional analyses indicate some managers demand lower audit quality to avoid negative audit reports, consistent with loss aversion as a potential explanation. Our findings indicate a need to develop a more comprehensive theory of the demand for auditing. Data Availability: The laboratory market data used in this study are available from the authors upon request.

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