ارائه مدلی ریاضی جهت انتخاب اعضای تیم تحقیق‌وتوسعه و حل آن با استفاده از الگوریتم‌ شبیه‌سازی تبرید (مورد مطالعه: شرکت کیسون)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مدیریت صنعتی، دانشکده مدیریت، دانشگاه تهران، تهران، ایران

2 دانشیار، گروه مدیریت صنعتی، دانشکده مدیریت، دانشگاه تهران، تهران، ایران

3 استادیار، گروه مدیریت صنعتی، دانشکده مدیریت، دانشگاه تهران، تهران، ایران

چکیده

امروزه ضرورت تشکیل تیم بیش‌ازپیش اهمیت یافته است و سازمان‌ها نیز بر روی یافتن افرادی با مهارت‌های تیمی بالا تمرکز می‌کنند. این امر به‌ویژه در رابطه با واحدهای تحقیق‌وتوسعه (R&D) که عنصر اصلی حفظ نوآوری سازمانی هستند، اهمیت بسیاری دارد. سازمان‌ها به‌منظور توسعه فنّاوری‌ها و محصولات جدید، بر تیم‌های R&D تکیه می‌کنند. ازاین‌رو، هدف از پژوهش حاضر، انتخاب شایسته‌ترین افراد به‌عنوان اعضای تیم تحقیق‌وتوسعه است. تاکنون از روش­های متعددی برای انتخاب اعضا استفاده شده و در این ‌بین، مدل‌سازی ریاضی به‌عنوان رویکردی کارآمد مدنظر محققان قرار گرفته است. این تحقیق ازنظر هدف کاربردی بوده و در دسته‌ تحقیقات توصیفی–تحلیلی قرار دارد. در این مقاله، هدف از مدل‌سازی ریاضی، انتخاب افرادی است که بیش‌ترین امتیاز را کسب نموده‌اند و متغیرهای تصمیم از نوع صفر-یک بوده که به معنای انتخاب یا عدم انتخاب فرد می‌باشد. ویژگی‌های فردی بر مبنای مدل شایستگی شناسایی شده و وزن‌های مربوطه با استفاده از روش سیموس تجدیدنظر شده و مطابق با نظر خبرگان تعیین شده است. در مرحله بعد، وزن ویژگی­های مشترک با استفاده از شاخص نوع مایرز-بریگز حاصل گشته و در انتها نیز از الگوریتم چندهدفه شبیه‌سازی تبرید (MOSA) برای حل مدل استفاده می‌شود. نهایتاً مدل‌سازی صورت گرفته برای انتخاب اعضای یکی از بزرگ‌ترین پروژه­های تحقیق‌وتوسعه شرکت کیسون مورداستفاده قرار گرفته است.

کلیدواژه‌ها

عنوان مقاله [English]

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

نویسندگان [English]

  • Mehrnoosh Khorram 1
  • mohammadreza taghizadeh yazdi 2
  • Jalil Heidary Dahouei 3
1 Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
2 Associate Professor, Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
3 Associate Professor, Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
چکیده [English]

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.

کلیدواژه‌ها [English]

  • R&D Team member selection
  • Revised Simos method
  • Competency model
  • Myers-Briggs Type Indicator (MBTI)
  • Multi-Objective Simulated Annealing (MOSA) algorithm

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پژوهش های نوین در تصمیم گیری
دوره 3، شماره 3
آذر 1397
صفحه 79-104

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