Comparison of Different Scenarios Using Computer Simulation to Improve the Manufacturing System Productivity: Case Study

2013 ◽  
Vol 845 ◽  
pp. 770-774 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Milad Hatami ◽  
J.M. Rohani ◽  
H. Mihanzadeh ◽  
Mohammadreza Haghighi
Keyword(s):  
Computer Simulation ◽  
Production Line ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Waiting Times ◽  
Manufacturing Companies ◽  
System Productivity ◽  
High Resource

In the manufacturing industry, managers and engineers are seeking to find methods in order to eliminate the common problems in manufacturing systems such as bottlenecks and waiting times. This is because that all of these kinds of problems impose extra cost to the companies. In addition, manufacturing companies are striving to sustain their competitiveness by improving productivity, efficiency and quality of manufacturing industry for instance high throughput and high resource utilization. The paper concentrates on the application of computer simulation to analysis manufacturing system in order to improve the productivity. Therefore, this study introduces a color manufacturing line as a case study and the basic application of arena 13.9 software. The goal of this paper is to improve the productivity and efficiency of the production line by using computer simulation. To achieve this goal, first the basic model of the current situation of production line was simulated. Second, three different alternatives were simulated and modified to find the best scenario based on the maximum productivity and minimum total cost.

Simulation of Manufacturing Production Line Based on Arena

2014 ◽  
Vol 933 ◽  
pp. 744-748 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Saeed Rahimpour Golroudbary ◽  
Ahmad Hashemi ◽  
Jafar Afshar ◽  
Mohammadreza Haghighi
Keyword(s):  
Computer Simulation ◽  
Simulation Model ◽  
Production Line ◽  
Manufacturing Systems ◽  
Waiting Times ◽  
Controversial Issues ◽  
Manufacturing Companies ◽  
Total Cost ◽  
Manufacturing Line

One of the controversial issues in manufacturing systems is bottleneck. Managers and engineers are trying to find methods to eliminate the bottlenecks and waiting times in the production line. More over the manufacturing companies are striving to sustain their competiveness by decreasing the bottlenecks, total cost and increasing the productivity. The objective of this study is applying the computer simulation to analysis the production line bottlenecks. To achieve this goal a color manufacturing line was selected as a case study and the basic application of arena 13.9 software. Finally the some modifications in the simulation model are proposed to improve the production line as well as to decrease the bottleneck.

Evaluating the Effect of Main Factors in Manufacturing Production Line Based on Simulation Experiment

2014 ◽  
Vol 606 ◽  
pp. 199-203 ◽  
Author(s):  
Milad Hatami ◽  
Seyed Mojib Zahraee ◽  
Alireza Khademi ◽  
A. Shahpanah ◽  
Jafri Mohd Rohani
Keyword(s):  
Production Line ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Failure Time ◽  
Service Rate ◽  
Manufacturing Companies ◽  
System Productivity ◽  
High Production Rate ◽  
Need To Evaluate ◽  
High Level

Productivity plays a significant role for most companies in order to measure the efficiency. In reality there is an essential need to evaluate the different factors which increasing productivity and achieving the high level of quality, high production rate , machine utilization. On the other hand, manufacturing companies are striving to sustain their competitiveness by improving productivity and quality of manufacturing industry. So it can be acquired by finding ways to deal with various industrial problems which have affected the productivity of manufacturing systems. This paper aims at applying statistical analysis and computer simulation to recognize and to weight the significance of different factors in the production line. Based on the final result the two factors which are B (Number of labor) and C (Failure time of lifter) have the most significant effect on the manufacturing system productivity. In order to achieve the maximum productivity the factors should be placed on the levels which are: A= -1, B=1, C=1 and D=1. This means that the service rate of mixer = UNIF (20, 40), number of labor=20, failure time of lifter =60 min and number of permil=5 respectively.

Characterization of Manufacturing System Computer Simulation using Taguchi Method

2015 ◽  
Vol 72 (4) ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Ali Chegeni ◽  
Jafri Mohd Rohani
Keyword(s):  
Computer Simulation ◽  
Taguchi Method ◽  
Manufacturing Industry ◽  
Waiting Times ◽  
Inspection Time ◽  
Total Output ◽  
Service Rate ◽  
Manufacturing Line

In the manufacturing industry, managers and engineers are trying to sustain their competitiveness by achieving high output and productivity. There are some common problems such as waiting times, failures, reworks in production line that impose extra cost to the companies. Therefore, companies are striving to find methods in order to determine and deal with problems using different methods such as mathematical, statistical and computer simulation. The goal of this paper is to increase the total output production and to improve productivity using computer simulation and Taguchi method. This paper introduces a color manufacturing line as a case study which is simulated using arena 13.9 software. Following that the Taguchi method is applied to assess the effect of controllable and uncontrollable factors on the total output production. According to the result of JMP 10 software to conduct Taguchi experiment, the maximum desirability of productivity will be achieved when the value of factors such service rate of delpak machine=UNIF (30, 40), number of labor=14, inspection time=120 and number of Permil=5. Taguchi Method plays an efficient and suitable role in the process improvement, proposing adjustments that will provide an improvement in the productivity. 

Managing Complexity in Manufacturing Changeovers: A Sustainable Manufacturing-Oriented Approach and the Application Case Study

2016 ◽  
Author(s):  
Khalid Mustafa ◽  
Kai Cheng
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Business Models ◽  
Sustainable Manufacturing ◽  
Lead Times ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
Manufacturing Complexity ◽  
Oriented Approach

Increasing manufacturing complexity continues to be one of the most significant challenges facing the manufacturing industry today. Due to these rapid changes in manufacturing systems, one of the most important factors affecting production is recognized as the frequent production setup or changeovers, consequently affecting the overall production lead times and competitiveness of the company. Developing responsive production setup and process capability is increasingly important as product ranges and varieties in manufacturing companies are growing rapidly and, at the same time, production business models are operating more towards being customer-oriented. Furthermore, although different conventional methods have been used to manage complexity in production changeovers, sustainability and competitiveness development in a manufacturing company needs to be scientifically addressed by managing manufacturing complexity. In this paper, a sustainable manufacturing-oriented approach is presented in mind of managing manufacturing changeover complexities. A case study is carried out specifically concerning changeover complexity in a pharmaceutical company, aiming at minimizing complexities in production changeover and waste, increasing plant flexibility and productivity, and ultimately the sustainable competitiveness of the company in managing manufacturing changes.

scholarly journals Applying the PDCA Cycle to Reduce the Defects in the Manufacturing Industry. A Case Study

2018 ◽  
Author(s):  
Arturo Realyvásquez-Vargas ◽  
Karina Cecilia Arredondo-Soto ◽  
Teresa Carrillo ◽  
Gustavo Ravelo
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Welding Process ◽  
Manufacturing Companies ◽  
Delivery Times ◽  
Pdca Cycle ◽  
Increasing Demand ◽  
Quality Of Products

Defects are considered one of the wastes in manufacturing systems that negatively affect the delivery times, cost and quality of products leading to manufacturing companies facing a critical situation with the customers and to not comply with the IPC-A-610E standard for the acceptability of electronic components. This is the case is a manufacturing company located in Tijuana, Mexico. Due to an increasing demand on the products manufactured by this company, several defects have been detected in the welding process of electronic boards, as well as in the components named Thru-Holes. It is for this reason that this paper presents a lean manufacturing application case study. The objective of this research is to reduce at least 20% the defects generated during the welding process. In addition, it is intended to increase 20% the capacity of 3 double production lines where electronic boards are processed. As method, the PDCA cycle, is applied. The Pareto charts and the flowchart are used as support tools. As results, defects decreased 65%, 79% and 77% in three analyzed product models. As conclusion, the PDCA cycle, the Pareto charts, and the flowchart are excellent quality tools that help decrease the number of defective components.

scholarly journals Applying the Plan-Do-Check-Act (PDCA) Cycle to Reduce the Defects in the Manufacturing Industry. A Case Study

2018 ◽  
Vol 8 (11) ◽  
pp. 2181 ◽  
Author(s):  
Arturo Realyvásquez-Vargas ◽  
Karina Arredondo-Soto ◽  
Teresa Carrillo-Gutiérrez ◽  
Gustavo Ravelo
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Welding Process ◽  
Manufacturing Companies ◽  
Delivery Times ◽  
Pdca Cycle ◽  
Increasing Demand ◽  
Quality Of Products

Defects are considered as one of the wastes in manufacturing systems that negatively affect the delivery times, cost and quality of products leading to manufacturing companies facing a critical situation with the customers and to not comply with the IPC-A-610E standard for the acceptability of electronic components. This is the case is a manufacturing company located in Tijuana, Mexico. Due to an increasing demand on the products manufactured by this company, several defects have been detected in the welding process of electronic boards, as well as in the components named Thru-Holes. It is for this reason that this paper presents a lean manufacturing application case study. The objective of this research is to reduce at least 20% the defects that are generated during the welding process. In addition, it is intended to increase 20% the capacity of three double production lines where electronic boards are processed. As method, the Plan-Do-Check-Act (PDCA) cycle, is applied. The Pareto charts and the flowchart are used as support tools. As results, defects decreased 65%, 79%, and 77% in three analyzed product models. As conclusion, the PDCA cycle, the Pareto charts, and the flowchart are excellent quality tools that help to decrease the number of defective components.

scholarly journals The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation

2016 ◽  
Vol 9 (2) ◽  
pp. 487 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Ali Chegeni ◽  
Arshin Toghtamish
Keyword(s):  
Computer Simulation ◽  
Taguchi Method ◽  
Production Line ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Optimal Parameter ◽  
Hydraulic Machines ◽  
Controllable Factors ◽  
Noise Factors ◽  
Level 2

Purpose: Manufacturing systems include a complicated combination of resources, such as materials, labors, and machines. Hence, when the manufacturing systems are faced with a problem related to the availability of resources it is difficult to identify the root of the problem accurately and effectively. Managers and engineers in companies are trying to achieve a robust production line based on the maximum productivity. The main goal of this paper is to design a robust production line, taking productivity into account in the selected manufacturing industry.Design/methodology/approach: This paper presents the application of Taguchi method along with computer simulation for finding an optimum factor setting for three controllable factors, which are a number of welding machines, hydraulic machines, and cutting machines by analyzing the effect of noise factors in a selected manufacturing industry.Findings and Originality/value: Based on the final results, the optimal design parameter of welding unit of in the selected manufacturing industry will be obtained when factor A is located at level 2 and B and C are located at level 1. Therefore, maximum productive desirability is achieved when the number of welding machines, hydraulic machines, and cutting machines is equal to 17, 2, and 1, respectively. This paper has a significant role in designing a robust production line by considering the lowest cost and timely manner based on the Taguchi method.

scholarly journals Application of Computer Simulation for Productivity Improvement of Welding Unit in a Heater Manufacturing Industry: A Case Study Based on Arena

2018 ◽  
Vol 225 ◽  
pp. 01004 ◽  
Author(s):  
Salman Jameh Abrishami ◽  
Mohammad Zeraatkar ◽  
Rasoul Esrafilian ◽  
Seyyed Amir Vafaei ◽  
Seyed Mojib Zahraee
Keyword(s):  
Computer Simulation ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Management Strategies ◽  
Simulation Models ◽  
Global Market ◽  
Productivity Improvement ◽  
Manufacturing Management ◽  
Manufacturing Line

Firm’s efficiency and competitiveness are two important challenges in today’s global market that have motivated many manufacturing firms to plan novel manufacturing management strategies. Nowadays, simulation models have been used to assess different aspects of manufacturing systems. This paper introduces a welding unit of a manufacturing line of heater production as a case study and the basic application of the ARENA software. The main goal of this paper is increasing the productivity of the production line by using computer simulation. To achieve this goal, three various scenarios are compared and suggested to obtain the better improvement in productivity.

DECISION SUPPORT FOR A SUSTAINABLE PRODUCTION IN JOB SHOP MANUFACTURING SYSTEMS

10.6036/9917 ◽  
2021 ◽  
Vol 96 (5) ◽  
pp. 455-459
Author(s):  
MAHDI NADERI ◽  
ANTONIO FERNÁNDEZ ULLOA ◽  
JOSÉ ENRIQUE ARES GÓMEZ ◽  
GUSTAVO PELÁEZ LOURIDO
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Job Shop ◽  
Sustainable Production ◽  
Ease Of Use ◽  
Manufacturing Companies ◽  
Strategic Decisions ◽  
Production Environments

Despite the growing importance that is being given to the concepts of sustainability in many areas, not only in industry but also in the economy and public opinion in general, until now, most research has focused, practically, on the analysis of the concepts, but has not addressed, in a comprehensive way, its impact in decision making probably due to the complex relations of interdependence between its different aspects. In this context, MAPSAM (Methodology for the Assessment of Sustainability in Manufacturing Processes and Systems) was created to help the decision-making process, allowing a conscious and transparent assessment by administrators and managers at the different levels of the structure of companies and organisations. This article explains its development and application in a "job shop" type manufacturing system with an approach that allows the integration of economic, environmental and social criteria. MAPSAM is based on the use of various techniques and tools to quantify the importance of each aspect of sustainability and it has been applied in other production environments, being implemented in different systems, analysing their ease of use and evaluating their behaviour. The objective is to show how it helps to make operational, tactical and strategic decisions in the management on these type of manufacturing companies and, specifically, in this contribution we want to highlight its versatility and applicability, by validating it in a certain type of layout. With this new application, MAPSAM increases its possibilities as an innovative instrument that allows companies to make conscious and sustainable decisions in order to be more efficient, fair, supportive and respectful of the environment. Keywords: Manufacturing System, Simulation, Decision Support, Sustainable Production, Decision-Making

scholarly journals Managing Manufacturing Complexity Drivers on Performance – An Initial Study

2018 ◽  
Vol 2 (1) ◽  
pp. 45-50
Author(s):  
Keyword(s):  
Strong Correlation ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Initial Study ◽  
Efficient Production ◽  
Product Management ◽  
Nonlinear Behaviour ◽  
Manufacturing Companies ◽  
Manufacturing Performance ◽  
Manufacturing Productivity

Manufacturing systems, in pursuit of cost, time and flexibility optimisation are becoming more and more complex, exhibiting a dynamic and nonlinear behaviour. Unpredictability is a distinct characteristic of such behaviour and effects production planning significantly. Complexity continues to be a challenge in manufacturing systems, resulting in ever-inflating costs, operational issues and increased lead times to product realisation. This challenge must be met with appropriate decision-making by manufacturing companies to secure competitive advantage without compromising sustainability. Assessing complexity realises the reduction and management of complexity sources which contribute to lowering associated engineering costs and time, improves productivity and increases profitability. Therefore, this study was undertaken to investigate the priority level and current achievement of manufacturing performance in Malaysia’s manufacturing industry and the complexity drivers on manufacturing productivity performance. The results showed that Malaysia’s manufacturing industry prioritised product quality and they managed achieved a good on-time delivery performance. However, for other manufacturing performance, there was a difference where the current achievement of manufacturing performances in Malaysia’s manufacturing industry is slightly lower than the priority given to them. The strong correlation of significant value for priority status was observed between efficient production levelling (finished goods) and finish product management while the strong correlation of significant value for current achievement was minimised the number of workstation and factory transportation system. This indicates that complexity drivers have an impact towards manufacturing performance. Consequently, it is necessary to identify complexity drivers to achieve well manufacturing performance.

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