Genetic algorithm for robot selection and work station assignment problem

Zhao, Linhu; Tsujimura, Y.; Gen, Mitsuo

doi:10.1016/s0360-8352(96)00293-8

Cited by 19 publications

(6 citation statements)

References 4 publications

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“…In second phase, a multi-attribute decisionmaking (MADM) method is applied to select the best robot from those as identified in the first phase. Zhao et al [5] combined a multi-chromosome genetic algorithm with first-fit bin packing algorithm for the optimal robot selection and workstation assignment problem for a computer integrated manufacturing system. Baker and Talluri [6] proposed a robot selection methodology based on cross efficiencies in data envelopment analysis (DEA) without considering the criteria weights or the decision maker's preferences.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Selection of the best suited robot for a given industrial application from a large number of available alternatives is a typical multi-criteria decision-making (MCDM) problem. Several approaches for robot selection have already been proposed by the past researchers [1][2][3][4][5][6][7][8][9][10][11], which include the applications of MCDM methods, production system performance optimization models, computer-assisted models and statistical models. In this paper, a ranking of all the considered alternative robots is obtained taking into account different robot selection attributes and it is observed that the ranking obtained using the VIKOR method matches quite well with that as derived by the past researchers, which proves the applicability of this MCDM method to solve such type of complex industrial problems.…”

Section: Introductionmentioning

confidence: 99%

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Selection of industrial robots using compromise ranking method

Athawale¹,

Chatterjee

Chakraborty

2012

IJISE

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Selection of an industrial robot for a specific engineering application is one of the most challenging problems in real time manufacturing environment. This has become more and more complicated due to increasing complexity, advanced features and facilities that are continuously being incorporated into the robots by different manufacturers. The decision maker needs to select the most suitable industrial robot in order to achieve the desired output with minimum cost and specific application ability. This paper mainly focuses on solving the robot selection problem using VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) method, which has already become a quite popular multi-criteria decision-making (MCDM) tool. One real time example is cited in order to demonstrate and validate the effectiveness and applicability of VIKOR method.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Selection of industrial robots using compromise ranking method

Athawale¹,

Chatterjee

Chakraborty

2012

IJISE

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“…They suggested group decision making for the selection of robots. Zhao et al (1996) introduced genetic algorithm (GA) for optimal Robot Selection problem in a CIM system. Goh (1997) used AHP method for robot selection incorporating inputs from multiple decision makers and considered both the subjective and the objective criteria.…”

Section: Example 2: Robot Selectionmentioning

confidence: 99%

A hybrid multiple attribute decision making method for solving problems of industrial environment

Singh¹,

Rao²

2011

IJIEC

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The selection of appropriate alternative in the industrial environment is an important but, at the same time, a complex and difficult problem because of the availability of a wide range of alternatives and similarity among them. Therefore, there is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations. In this paper, a hybrid decision making method of graph theory and matrix approach (GTMA) and analytical hierarchy process (AHP) is proposed. Three examples are presented to illustrate the potential of the proposed GTMA-AHP method and the results are compared with the results obtained using other decision making methods.

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“…Then, a multi-attribute decision-making method was adopted to select the best robot. Zhao et al (1996) combined a multi-chromosome genetic algorithm with first-fit bin packing algorithm for solving the robot selection and workstation assignment problems for a computer integrated manufacturing system. Goh et al (1996) developed a revised weighted sum decision model taking into account both the objective and subjective attributes while selecting a robot for an industrial application.…”

Section: Introductionmentioning

confidence: 99%

A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection

Athawale¹,

Chakraborty²

2011

IJIEC

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Industrial robots are mainly employed to perform repetitive and hazardous production jobs, multi-shift operations etc. to reduce the delivery time, improve the work environment, lower the production cost and even increase the product range to fulfill the customers' needs. When a choice is to be made from among several alternative robots for a given industrial application, it is necessary to compare their performance characteristics in a decisive way. As the industrial robot selection problem involves multiple conflicting criteria and a finite set of candidate alternatives, different multi-criteria decision-making (MCDM) methods can be effectively used to solve such type of problem. In this paper, ten most popular MCDM methods are considered and their relative performance are compared with respect to the rankings of the alternative robots as engaged in some industrial pick-n-place operation. It is observed that all these methods give almost the same rankings of the alternative robots, although the performance of WPM, TOPSIS and GRA methods are slightly better than the others. It can be concluded that for a given industrial robot selection problem, more attention is to be paid on the proper selection of the relevant criteria and alternatives, not on choosing the most appropriate MCDM method to be employed.

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Genetic algorithm for robot selection and work station assignment problem

Cited by 19 publications

References 4 publications

Selection of industrial robots using compromise ranking method

Selection of industrial robots using compromise ranking method

A hybrid multiple attribute decision making method for solving problems of industrial environment

A comparative study on the ranking performance of some multi-criteria decision-making methods for industrial robot selection

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