Proposing a mathematical model for selection team member in R&D teams and solving it using Multi-Objective Simulated Annealing (Case study: Keyson Company)

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khorram mehrnoosh; Taghizadeh Yazdi Mohammadreza; Heidary Dahouei Jalil

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Journal: MODERN RESEARCHES IN DECISION MAKING Year:2018 | Volume:3 | Issue:3 Page(s): 79-104

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Title

Proposing a mathematical model for selection team member in R&D teams and solving it using Multi-Objective Simulated Annealing (Case study: Keyson Company)

Author(s)

khorram mehrnoosh | Taghizadeh Yazdi Mohammadreza | Heidary Dahouei Jalil | Issue Writer Certificate

Keywords

R&D Team member selectionQ1

Revised Simos methodQ1

Competency modelQ1

Myers-Briggs Type Indicator (MBTI)Q1

Multi-Objective Simulated Annealing (MOSA) algorithmQ1

Abstract

Today, the necessity of forming teams has become more important than ever and firms begin to concentrate on finding proper people with team skills. This is especially true in research and development (R&D) organizations that are critical for maintaining organizational innovation. Organizations rely on R&D teams to develop new technologies and products. Thus, the aim of this research is to select the best individuals as R&D team members. So far, several methods have been used to select members and mathematical modeling has been considered as an efficient approach. This research is an applied and descriptive – analytical research. For this purpose, the objective function is to choose individuals who earn the most points and decision variable is 0-1 if the candidate is selected or not. Individual characteristics of team members are derived from existing Competency models. Individual weights will be obtained by using revised Simos and according to experts and Myers-Briggs Type Indicator will be employed to gain collaborative weights. Finally, Multi Objective Simulated Annealing algorithm will be used to solve the problem. The modeling was used for team member selection of one of the largest Keyson Company R&D projects.

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APA: Copy

khorram, mehrnoosh, Taghizadeh Yazdi, Mohammadreza, & Heidary Dahouei, Jalil. (2018). Proposing a mathematical model for selection team member in R&D teams and solving it using Multi-Objective Simulated Annealing (Case study: Keyson Company). MODERN RESEARCHES IN DECISION MAKING, 3(3 ), 79-104. SID. https://sid.ir/paper/373507/en

Vancouver: Copy

khorram mehrnoosh, Taghizadeh Yazdi Mohammadreza, Heidary Dahouei Jalil. Proposing a mathematical model for selection team member in R&D teams and solving it using Multi-Objective Simulated Annealing (Case study: Keyson Company). MODERN RESEARCHES IN DECISION MAKING[Internet]. 2018;3(3 ):79-104. Available from: https://sid.ir/paper/373507/en

IEEE: Copy

mehrnoosh khorram, Mohammadreza Taghizadeh Yazdi, and Jalil Heidary Dahouei, “Proposing a mathematical model for selection team member in R&D teams and solving it using Multi-Objective Simulated Annealing (Case study: Keyson Company),” MODERN RESEARCHES IN DECISION MAKING, vol. 3, no. 3 , pp. 79–104, 2018, [Online]. Available: https://sid.ir/paper/373507/en

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