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 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.

scholarly journals Simultaneous Scheduling of Machines and AGVs in FMS Through Ant Colony Optimization Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 1392-1397
Keyword(s):  
Ant Colony Optimization ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing System ◽  
Response Times ◽  
Life Cycles ◽  
Ant Colony ◽  
Scheduling Problems ◽  
Ant Colony Optimization Algorithm ◽  
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 Ant Colony Optimization (ACO) algorithm is proposed.

scholarly journals Simultaneous Scheduling Through Heuristic Algorithms

2018 ◽  
Vol 7 (2.32) ◽  
pp. 125
Author(s):  
M Nageswara Rao ◽  
K Lokesh ◽  
V Harish ◽  
Ch Sai Bharath ◽  
Y Venkatesh ◽  
...  
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Heuristic Algorithms ◽  
Information Gathering ◽  
Work Environments ◽  
Scheduling Problems ◽  
Game Plan ◽  
The Cost ◽  
Simultaneous Scheduling

Flexible Manufacturing System (FMS) is a compli-cated system because of work environments, recu-peration frameworks, mechanized putting away, and material dealing with gadgets like robots and AGVs. In this paper, an endeavor is made by con-sidering both the machine and vehicle planning angles in FMS for minimization of the make trav-erse. Game plan is ensnared with the arrangement of incomplete assets to assignments in finished time. It is like Information-gathering process. It is related with the cost, operations, time and several objectives of the industry. In this work, RAPID ACCESS (RA) heuristic algorithm is adopted to solve the scheduling problems in FMS. Eighty, two problems and their existing solutions with different approaches are examined. The RA heuristic algo-rithm provides better solutions with less computa-tional time.  

Characteristics Analysis of Flexible Manufacturing Systems

2013 ◽  
Vol 329 ◽  
pp. 172-175
Author(s):  
Jin Feng Wang ◽  
Guang Feng Zhang ◽  
Xian Zhang Feng
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Manufacturing Industry ◽  
Production Efficiency ◽  
Manufacturing System ◽  
Learning System ◽  
Machining Process ◽  
Characteristics Analysis

For the rigid automatic line, although its production efficiency is high, but the flexible is less in the machining process, the machine and the assembly line need be shut down to adjust or replace for machine tools, jigs, tools, and tooling equipment, etc. When the work pieces for the machining is changed. It caused a heavy workload, wasting a lot of time. Flexible Manufacturing Systems consisted of unified control system, material handling system and a set of digital control processing equipment; it is the automation machinery manufacturing system to adapt the processing object transform. It has become one of the important means of manufacturing industry to obtain the advantages of market competitiveness. This paper gives the composition, algorithm and application of learning system concept, composition, and classification, characteristics of the flexible manufacturing system, the development overview and its application are induced in this paper.

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.

scholarly journals Scheduling of Machines and AGVs Simultaneously in FMS through Hybrid Teaching Learning Based Optimization Algorithm

2019 ◽  
Vol 9 (2) ◽  
pp. 2048-2055
Keyword(s):  
Flexible Manufacturing ◽  
Material Handling ◽  
Complex Problem ◽  
Successful Implementation ◽  
Material Handling System ◽  
Scheduling Problems ◽  
Handling System ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
Simultaneous Scheduling

The most complex problem in FMS is scheduling task, due to this complexity it has created interest among many researchers. Even though FMS scheduling problem was considered earlier, material handling systems like (AGVs) scheduling was not done effectively. As transportation times cannot be neglected in an FMS, a carefully managed and designed material handling system is important in achieving the required integration in flexible manufacturing environment. Hence there is a need for scheduling both the machines and material handling system simultaneously for the successful implementation of an FMS, which makes the scheduling of FMS more complex. Metaheuristic Algorithms are mostly received by the researchers, because of their capability to tackle more complex problems. Hybridization of the metaheuristics may further improve their performance. In the present work a new hybrid metaheuristic Teaching Learning based optimization(HTLBO) is proposed to solve simultaneous scheduling problems.

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.

A Multi-Fidelity Model Approach for Simultaneous Scheduling of Machines and Vehicles in Flexible Manufacturing Systems

2018 ◽  
Vol 35 (01) ◽  
pp. 1850005 ◽  
Author(s):  
James T. Lin ◽  
Chun-Chih Chiu ◽  
Edward Huang ◽  
Hung-Ming Chen
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Production Systems ◽  
Computational Cost ◽  
Time Data ◽  
Simultaneous Scheduling ◽  
Fidelity Model ◽  
Model Approach

Driven by sensor technologies and Internet of Things, massive real-time data from highly interconnected devices are available, which enables the improvement of decision-making quality. Scheduling of such production systems can be challenging as it must incorporate the latest data and be able to re-plan quickly. In this research, a multi-fidelity model for simultaneous scheduling problem of machines and vehicles at flexible manufacturing system has been proposed. In order to improve the computational efficiency, we extend the framework, called multi-fidelity optimization with ordinal transformation and optimal sampling, with combining with the K-means method. The proposed framework enables the benefits of both fast and inexpensive low-fidelity models with accurate but more expensive high-fidelity models. Results show that this approach can significantly decrease computational cost compared with other algorithms in the literature.

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.

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