On the application of multi criteria decision making technique for multi-response optimization of metal cutting process

Chakraborty, Saptarshi; Jana, Tarun Kanti; Paul, Soumen

doi:10.3233/idt-190356

Cited by 2 publications

(2 citation statements)

References 56 publications

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“…The experiment is formulated using the multi-criteria decision-making [MCDM] mathematical model to find a suitable solution for the loadbalancing problems involving multiple and conflicting objectives. This model works on the basic principle of the weighted sum method [WSM], i.e., the rank of the best load-balancing technique is evaluated based on the WSM of the MCDM technique [20][21][22][23][24][25].…”

Section: Experiments and Resultsmentioning

confidence: 99%

An Intelligent Server load balancing based on Multi-criteria decision-making in SDN

Vani

2023

Int. j. electr. comput. eng. syst. (Online)

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In an environment of rising internet usage, it is difficult to manage network traffic while maintaining a high quality of service. In highly trafficked networks, load balancers are crucial for ensuring the quality of service. Although different approaches to load-balancing have been proposed in traditional networks, some of them require manual reconfiguration of the device to accommodate new services due to a lack of programmability. These problems can be solved through the use of software-defined networks. This research paper presents a dynamic load-balancing algorithm for software-defined networks based on server response time and content mapping. The proposed technique dispatches requests to servers based on real-time server loads. This technique comprises three different modules, such as a request classification module, a server monitoring module, and an optimized dynamic load-balancing module using content-based routing. There are a variety of robust mathematical tools to address complex problems that have multiple objectives. Multi-Criteria Decision-Making is one of them. The performance of the proposed scheme has been validated by applying the Weighted Sum Method of the multi-criteria decision-making technique. The proposed method Server load balancing based on Multi-criteria Decision Making[SDLB-MCDM] is compared with different load-balancing schemes such as round robin, random, load-balancing scheme based on server response time [LBBSRT], and An SDN-aided mechanism for web load- balancing based on server statistics [SD-WLB]. The experimental results of SDLB-MCDM show a significant improvement of 58% when weights are equal and 50% when unequal weights are assigned to various QoS parameters in comparison with the ROUND ROBIN, RANDOM, LBBSRT and SD-WLB techniques.

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Section: Experiments and Resultsmentioning

confidence: 99%

An Intelligent Server load balancing based on Multi-criteria decision-making in SDN

Vani

2023

Int. j. electr. comput. eng. syst. (Online)

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“…To ensure both economic and technical goals, the highest productivity, the least material consumption, the lowest labor cost, etc. To achieve multiple goals at the same time, it is a need to solve the multi-objective optimization problem [5,6]. There are two ways to solve optimization problems.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Turning Process by Fuca Method

Hoang

2023

Strojnícky Časopis - Journal of Mechanical Engineering

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A study about multi-objective optimization of turning process has been done in this paper. Twenty-five experiments of a matrix designed according to Taguchi method have been performed. In each experiment, the values of five parameters were changed, including tool nose radius, tool holder length, spindle speed, feed rate, and cutting depth. The three output parameters determined for each experiment include surface roughness, roundness deviation and material removal capacity. Four different methods were used to calculate the weights of the output parameters. The FUCA method was used to solve the multi-objective optimization problem. This work was repeated four times with four corresponding weight sets of the criteria. The purpose of solving the multi-objective optimization problem is determining the values of the input parameters to ensure both the surface roughness parameter and the roundness deviation parameter are the smaller the better, and the material removal capacity is the larger the better. A surprising thing happened, the optimal values of the set of input parameters were exactly the same when using four different weighting methods. Accordingly, the optimal values of tool nose radius, tool holder length, spindle speed, feed rate and cutting depth correspondingly are 0.8 (mm), 40 (mm), 587 (rev/min), 0.316 (mm/rev) and 0.6 (mm).

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On the application of multi criteria decision making technique for multi-response optimization of metal cutting process

Cited by 2 publications

References 56 publications

An Intelligent Server load balancing based on Multi-criteria decision-making in SDN

An Intelligent Server load balancing based on Multi-criteria decision-making in SDN

Multi-Objective Optimization of Turning Process by Fuca Method

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