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.

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. 

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.

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.

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 A Predictive Fleet Management Strategy for On-Demand Mobility Services: A Case Study in Munich

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1021
Author(s):  
Michael Wittmann ◽  
Lorenz Neuner ◽  
Markus Lienkamp
Keyword(s):  
Service Quality ◽  
Large Scale ◽  
Management Strategies ◽  
Global Market ◽  
Fleet Management ◽  
Bipartite Matching ◽  
Fleet Size ◽  
Original Size ◽  
Real Time Information

The global market for MoD services is in a state of rapid and challenging transformation, with new market entrants in Europe, such as Uber, MOIA, and CleverShuttle, competing with traditional taxi providers. Rapid developments in available algorithms, data sources, and real-time information systems offer new possibilities of maximizing the efficiency of MoD services. In particular, the use of demand predictions is expected to contribute to a reduction in operational costs and an increase in overall service quality. This paper examines the potential of predictive fleet management strategies applied to a large-scale real-world taxi dataset for the city of Munich. A combination of state-of-the art dispatching algorithms and a predictive RHC optimization for idle vehicle rebalancing was developed to determine the scale by which a fleet size can be reduced without affecting service quality. A simulation study was conducted over a one-week period in Munich, which showed that predictive fleet strategies clearly outperform the present strategy in terms of both service quality and costs. Furthermore, the results showed that current taxi fleets could be reduced to 70% of their original size without any decrease in performance. In addition, the results indicated that the reduced fleet size of the predictive strategy was still 20% larger compared to the theoretical optimum resulting from a bipartite matching approach.

scholarly journals Productivity improvement in a client-based service company through value stream mapping and simulation

2021 ◽  
Author(s):  
Sam Ataei
Keyword(s):  
Manufacturing Industry ◽  
Service Industry ◽  
Simulation Analysis ◽  
Value Added ◽  
Simulation Models ◽  
Value Stream Mapping ◽  
Productivity Improvement ◽  
Lean Principles ◽  
Value Stream ◽  
Analysis Of Results

For many years, productivity improvement through value stream mapping and simulation has been studied in manufacturing industry where the flow of materials is visible and the work can be standardized. In recent years, the service industry has become a new arena for lean operations. Within the service industry, client-based companies have distinct challenges in streamlining their process, as it may not be feasible to standardize the needs of different clients. This thesis focuses on a case from a client-based company in the area of graphic communications and brand point management services. The thesis examines the application of lean principles towards a set of subjective processes and provides directions for improving productivity. Some lean methods utilized in the study include creating process flows, conducting operator interviews to back-up the process flow, collecting data such as processing time and creating a detailed values stream map of the retail packaging process in order to analyze any necessary areas of improvement. Value stream mapping has been used to identify the areas where the non-value-added tasks can be reduced, and simulation models have been used to imitate and predict the company's different scenarios in dealing with bottlenecks, different kinds of wastes, and to assess potential areas for improvements. The analysis of results indicates that it is necessary to have two different streams of the processes; one for a team-based job and another one for a non-team-based job. The proper touch points from each department have been found and value-added and non-value added times have been determined in order to create the current-state. Furthermore, future-states have been created with some recommendations kept in mind to validate the time savings. The results have been verified through a simulation analysis.

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.

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