A satisfaction function and distance measure based multi-criteria robot selection procedure

Kentli, Aykut; Kar, A. Kerim

doi:10.1080/00207543.2010.530623

Cited by 35 publications

(19 citation statements)

References 36 publications

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“…When preference of DM is unknown, the satisfaction function is assumed to be straight line. From the ideal point, the minimum distance d is obtained by following formula [11,17].…”

Section: B Materials Removal Ratementioning

confidence: 99%

Multi Response Optimization of Process Parameters during Machining of Aluminium by Satisfaction Function

Bhandarkar*¹,

Mohanty²,

Sarangi³

et al. 2019

IJRTE

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Economical machining operation plays an important part in competitiveness in the industries therefore selection of optimum cutting parameters is of great concern in manufacturing environments. The current research is aimed at fixing the optimal process parameters for hard turning of aluminum in CNC lathe machine using carbide tool as per the machinability aspects. On the basis of three-factor-three-level L9 orthogonal array, trials are performed by varying the manageable process constraints which are spindle speed, depth of cut and feed rate. Performance of machining has been figured by several responses like Surface Roughness and Material Removal Rate. Towards optimization above mentioned performance factors are treated as purpose functions, assuming that it corresponds to Higher-is-better and Lower-is-Better requirement respectively. Satisfaction function approach is used in this paper to find out satisfactions of individual responses enabling gathering of multi-responses into a comparable sole index

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“…When preference of DM is unknown, the satisfaction function is assumed to be straight line. From the ideal point, the minimum distance d is obtained by following formula [11,17].…”

Section: B Materials Removal Ratementioning

confidence: 99%

Multi Response Optimization of Process Parameters during Machining of Aluminium by Satisfaction Function

Bhandarkar*¹,

Mohanty²,

Sarangi³

et al. 2019

IJRTE

View full text Add to dashboard Cite

show abstract

“…Rao et al [ 1 ] proposed a MCDM technique to evaluate and rank robots in an industry application, which utilizes statistical variance and AHP method to compute the objective and subjective weights of criteria, respectively. Kentli and Kar [ 40 ] presented a multi-criteria robot selection algorithm on the basis of satisfaction function and distance measure, and Kumar and Garg [ 41 ] gave a determining quantitative framework using the distance method to choose the optimal robot. In addition, multiple MCDM methods have been used for industrial robot selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Robot Evaluation and Selection with Entropy-Based Combination Weighting and Cloud TODIM Approach

Wang

Miao

Cui

et al. 2018

Entropy

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Nowadays robots have been commonly adopted in various manufacturing industries to improve product quality and productivity. The selection of the best robot to suit a specific production setting is a difficult decision making task for manufacturers because of the increase in complexity and number of robot systems. In this paper, we explore two key issues of robot evaluation and selection: the representation of decision makers' diversified assessments and the determination of the ranking of available robots. Specifically, a decision support model which utilizes cloud model and TODIM (an acronym in Portuguese of interactive and multiple criteria decision making) method is developed for the purpose of handling robot selection problems with hesitant linguistic information. Besides, we use an entropy-based combination weighting technique to estimate the weights of evaluation criteria. Finally, we illustrate the proposed cloud TODIM approach with a robot selection example for an automobile manufacturer, and further validate its effectiveness and benefits via a comparative analysis. The results show that the proposed robot selection model has some unique advantages, which is more realistic and flexible for robot selection under a complex and uncertain environment.

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“…Karsak (2008) introduces a decision model based on quality function deployment and fuzzy linear regression. Kentli & Kar (2011) proposes a multi-criteria model using satisfaction function to convert various robot attributes into a unified scale. A distance measure technique is also used to ascertain the highest ranked candidate-robot.…”

Section: Related Workmentioning

confidence: 99%

Novel robot arm design and implementation for hot forging press automation

Packianather

et al. 2018

International Journal of Production Research

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Manual handling of hot and heavy workpiece in forging press industry increases the process time and causes safety risks to workers. To increase the productivity and optimize the use of manpower, manipulators are needed to be designed for supporting the workers handling the workpiece. Designing robots for such applications is challenging since the robot suffers from a heavy payload at the arm tip, and it operates at a high speed in a large workspace. This research addresses the design and implementation of a novel robot for handling workpiece for a given forging press cell. A novel robotic mechanism is designed with two key features: (i) the addition of parallel links in between serial links, and (ii) the use of hydraulic actuators for driving robot's joints. The addition of parallel links and the use of hydraulic cylinders are to increase the structural rigidity. It is also to reduce the number of joint variables and restrict the end-effector moving parallel to the ground surface so that the robot grips and releases the workpiece in a more efficient and simplified manner. The effectiveness of the designed robot mechanism is demonstrated through functional tests, and experimental results are carried out on the implemented robot.

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A satisfaction function and distance measure based multi-criteria robot selection procedure

Cited by 35 publications

References 36 publications

Multi Response Optimization of Process Parameters during Machining of Aluminium by Satisfaction Function

Multi Response Optimization of Process Parameters during Machining of Aluminium by Satisfaction Function

Robot Evaluation and Selection with Entropy-Based Combination Weighting and Cloud TODIM Approach

Novel robot arm design and implementation for hot forging press automation

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