Using Taguchi Method to Optimize the Performance of Flexible Manufacturing Systems: An Empirical Model

2015 ◽  
Vol 799-800 ◽  
pp. 1410-1416
Author(s):  
Guanghsu A. Chang ◽  
William R. Peterson
Keyword(s):  
Taguchi Method ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Life Cycles ◽  
Design Parameters ◽  
Product Mix ◽  
World Markets ◽  
Manufacturing System Design ◽  
And Performance

Increasing global competition, shrinking product life cycles, and increasing product mix are defining a new manufacturing environment in world markets. This paper presents a case problem using Taguchi Method to find optimum design parameters for a Flexible Manufacturing System (FMS). A L8 array, signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to study performance characteristics of selected manufacturing system design parameters (e.g. layout, AGVs, buffers, and routings) with consideration of product mix demand. Various design and performance parameters are evaluated and compared for the original and the improved FMS. The results obtained by this method may be useful to other researchers for similar types of applications.

Performance optimization of a flexible manufacturing system using simulation: the Taguchi method versus OptQuest

SIMULATION ◽  
2019 ◽  
Vol 95 (11) ◽  
pp. 1085-1096 ◽  
Author(s):  
Abdessalem Jerbi ◽  
Achraf Ammar ◽  
Mohamed Krid ◽  
Bashir Salah
Keyword(s):  
Taguchi Method ◽  
Performance Optimization ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Flow Time ◽  
Mean Flow ◽  
Taguchi Optimization ◽  
Mean Flow Time

The Taguchi method is widely used in the field of manufacturing systems performance simulation and improvement. On the other hand, Arena/OptQuest is one of the most efficient contemporary simulation/optimization software tools. The objective of this paper is to evaluate and compare these two tools applied to a flexible manufacturing system performance optimization context, based on simulation. The principal purpose of this comparison is to determine their performances based on the quality of the obtained results and the gain in the simulation effort. The results of the comparison, applied to a flexible manufacturing system mean flow time optimization, show that the Arena/OptQuest optimization platform outperforms the Taguchi optimization method. Indeed, the Arena/OptQuest permits one, through the lowest experimental effort, to reliably minimize the mean flow time of the studied flexible manufacturing system more than the Taguchi method.

Simulation of Manufacturing System at Different Part Mix Ratio and Routing Flexibility

2016 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Rajeev Kumar
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Simulation Analysis ◽  
Research Work ◽  
Product Variety ◽  
Business Environment ◽  
Appreciable Effect ◽  
Routing Flexibility ◽  
Product Mix

In present market scenario, manufacturing industries need to focus towards capability to provide high product variety and availability of products at the point of demand. This situation creates pressure on manufacturing firms to be flexible and to reduce lead time to fulfill customer's demand on time. Flexible Manufacturing Systems (FMS) with appropriate Routing Flexibility (RF) in addition to different scheduling strategies is the appropriate manufacturing alternative in such a case. Such systems are capable to adjust changing product mix yet providing higher performance in dynamic business environment. This research work presents simulation analysis of a FMS with varying Routing Flexibility (RF) level at different part mix ratio to validate this. The results show that varying part mix ratio has appreciable effect on the system performance, when no routing flexibility is present in the system. Also for all product mix ratios, increase in routing flexibility levels continues to improve MST performance with diminishing return.

Sustaining the Competitive Edge of Small to Medium Size Enterprises Through Innovative Manufacturing System Design

2014 ◽  
Author(s):  
Mohamed A. Gadalla
Keyword(s):  
System Design ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Smart Manufacturing ◽  
Medium Size ◽  
Market Conditions ◽  
Competitive Edge ◽  
Manufacturing System Design ◽  
Smart Manufacturing Systems

Increasing Small to Medium size Enterprises (SME’s) competitive edge requires continuously developing creative and novel methods and solutions. This paper presents a novel design for a manufacturing system named Smart Manufacturing Systems (SMS). The new design can be viewed as a modification to the Flexible Manufacturing System (FMS) to better suits continuously changing market conditions, which may lead a company to develop a more sustainable competitive edge. The new design address several issues in manufacturing system design that affect the competitiveness of the system such as: merger of different manufacturing processes, non-productive times, and to be able to performing economically under different market conditions.

scholarly journals Simultaneous Scheduling of Machines and AGVs in FMS Through Hybrid JAYA Algorithm

2019 ◽  
Vol 9 (2) ◽  
pp. 1982-1988
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing System ◽  
Response Times ◽  
Life Cycles ◽  
Jaya Algorithm ◽  
Scheduling Problems ◽  
The Right ◽  
Simultaneous Scheduling

High amount of flexibility and quick response times have become essential features of modern manufacturing systems where customers are demanding a variety of products with reduced product life cycles. Flexible manufacturing system (FMS) is the right choice to achieve these challenging tasks. The performance of FMS is dependent on the selection of scheduling policy of the manufacturing system. In Traditional scheduling problems machines are as considered alone. But material handling equipment’s are also valuable resources in FMS. The scheduling of AGVs is needed to be optimized and harmonized with machine operations. Scheduling in FMS is a well-known NP-hard problem due to considerations of material handling and machine scheduling. Many researchers addressed machine and AGVs individually. In this work an attempt is made to schedule both the machines and AGVs simultaneously. For solving these problems- a new hybrid metaheuristic JAYA algorithm (HJAYA) is proposed.

scholarly journals USING THE SLP METHOD IN THE DESIGN OF FLEXIBLE MANUFACTURING CELLS

2021 ◽  
pp. 22-28
Author(s):  
Zsolt Molnár ◽  
Péter Tamás ◽  
Illés Béla
Keyword(s):  
Design Process ◽  
Process Simulation ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Life Cycles ◽  
Layout Planning ◽  
Flexible Manufacturing Cells ◽  
Systematic Layout Planning

Flexible manufacturing systems are becoming increasingly important as customers increasingly want customized products. Also, the trend of the product life cycles to become shorter and shorter causes the proliferation of flexible manufacturing systems. Proper layout is key to making the manufacturing system truly flexible. Novel research and this article show how the Systematic Layout Planning method can be applied to the design of flexible manufacturing systems and, going further, how the design process can be supported by manufacturing process simulation.

Manufacturing System Design Considering Generational Product Evolution and Task Recurrence

2007 ◽  
Author(s):  
Jeonghan Ko ◽  
S. Jack Hu
Keyword(s):  
System Design ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
New Products ◽  
Life Cycles ◽  
Mixed Integer ◽  
Design Solution ◽  
New Methods ◽  
Product Evolution ◽  
Manufacturing System Design

The classical studies on manufacturing system design and line balancing have often focused on a single generation of products, thus leading to new design or re-balancing when a new generation of products is introduced. As the life-cycles of product models become shorter and shorter, this ‘new products then new system-design’ approach is becoming increasingly ineffective due to too frequent production interruption. Therefore, effective solutions to system-design problems should consider products of multiple generations. This paper presents new methods to design manufacturing systems for products evolving over several generations. Mixed integer programming models are developed for (1) designing system configurations that are cost-effective for uncertain product evolution, and (2) maximizing the recurrences of a task on the same machine throughout product generations. A decomposition-based solution procedure is also proposed to reduce computational complexity. These new methods can provide a system design solution enabling quick product launches with less line change-over for new products.

scholarly journals Simultaneous Scheduling of Machines and AGVs in FMS through Simulated Annealing Algorithm

2020 ◽  
Vol 9 (4) ◽  
pp. 2235-2240
Keyword(s):  
Simulated Annealing ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing System ◽  
Simulated Annealing Algorithm ◽  
Response Times ◽  
Life Cycles ◽  
Scheduling Problems ◽  
Simultaneous Scheduling

High amount of flexibility and quick response times have become essential features of modern manufacturing systems where customers are demanding a variety of products with reduced product life cycles. Flexible manufacturing system (FMS) is the right choice to achieve these challenging tasks. The performance of FMS is dependent on the selection of scheduling policy of the manufacturing system. In Traditional scheduling problems machines are as considered alone. But material handling equipment’s are also valuable resources in FMS. The scheduling of AGVs is needed to be optimized and harmonized with machine operations. Scheduling in FMS is a well-known NP-hard problem due to considerations of material handling and machine scheduling. Many researchers addressed machine and AGVs individually. In this work an attempt is made to schedule both the machines and AGVs simultaneously. For solving these problems- a new metaheuristic Simulated Annealing (SA) algorithm is proposed.

Introduction of Flexible Manufacturing Systems as a Necessary Measure for the Russian Industrial Development

2019 ◽  
Vol 957 ◽  
pp. 195-202 ◽  
Author(s):  
Elizaveta Gromova
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Industrial Development ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Agile Manufacturing ◽  
Industrial Sector ◽  
Business Environment ◽  
Maximum Speed ◽  
Industrial Enterprises

With the onset of the Fourth Industrial Revolution, the business environment becomes inherent in changes that occur with maximum speed, as well as characterized by the systemic nature of the consequences. One of them is the transformation of operational management models in industrial enterprises. The modern manufacturing system should focus not only on speed of response and flexibility, but also on the cost and quality of products. Integration of effective models: agile manufacturing, quick response manufacturing and lean production, in order to extract the best from them is proposed. The purpose of this study is to analyze this flexible manufacturing system and to relate it to the current state of the Russian industrial development. Theoretical and practical aspects of this model are presented. The examples of the flexible models introduction in the Russian industrial sector is allocated. The conclusion about the necessity of the flexible manufacturing systems implementation for the Russian industrial development is drawn.

Fixture Reusability and Reconfigurability Analysis Using Similarity Index

2000 ◽  
Author(s):  
Arlene G. Smithson ◽  
Zhenyu Kong ◽  
Dariusz Ceglarek
Keyword(s):  
Manufacturing System ◽  
Formal Method ◽  
Similarity Index ◽  
New Product ◽  
Fixture Design ◽  
Production Lines ◽  
Product Lines ◽  
Future Production ◽  
Manufacturing System Design ◽  
And Performance

Abstract Currently there is a lack of a formal method to utilize previous fixture information into the design of future product and production lines. The utilization of knowledge gained in the design of prior fixtures and the capability assessment of existing reconfigurable fixtures on the design of new product lines allow manufacturing system design for time and cost reductions. This paper presents the evaluation of a fixture design similarity index developed to assess the relevance of current fixtures design information for multi-model production (reconfigurability) or for future production lines design (reusability). The index developed decomposes N-2-1 fixture information into X, Y, and Z data with applicable constrains and part deflection requirements in the X, Y, and Z directions. This allows the evaluation and comparison of physical and performance attributes of any given fixture. An example demonstrating the methodology implementation to single fixture case analysis and conclusions are provided as part of the presentation.

Sign in / Sign up

Export Citation Format

Share Document