دانلود رایگان مقاله انگلیسی یک مدل بهینه سازی معکوس برای مسئله تخصیص منابع انسانی - نشریه الزویر

عنوان فارسی
یک مدل بهینه سازی معکوس برای مسئله تخصیص منابع انسانی با توجه به ساختار نامطلوب شایستگی
عنوان انگلیسی
An Inverse Optimization Model for Human Resource Allocation Problem Considering Competency Disadvantage Structure
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
12
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E5797
رشته های مرتبط با این مقاله
مهندسی صنایع
گرایش های مرتبط با این مقاله
برنامه ریزی و تحلیل سیستم ها
مجله
پروسه علوم کامپیوتر - Procedia Computer Science
دانشگاه
School of Systems Engineering - Dalian University of Technology - China
کلمات کلیدی
بهینه سازی معکوس، برنامه ریزی خطی، تخصیص منابع انسانی، صلاحیت، ارزیابی با توجه به ساختار نامطلوب
چکیده

Abstract


Most of serious and major accidents that happened during the production procedure of process industry are caused by improper equipment operations, which is further owing to inappropriate human resources allocation and ignorance of individual competencies differences. In order to take both of competency disadvantage and adjustment requirement into consideration, we use an inverse optimization method to solve a human resource allocation problem, and furthermore, adjust equipment operating parameters to make the per-defined settings optimized, such as the total number of jobs, security-related parameters and so on.In the solving process, firstly a standard competence hierarchy system is conducted; secondly we propose an assessment method according to disadvantage structure; thirdly we use inverse optimization method to solve the problem and optimize the predefined allocation plan. Lastly, we give an example to prove its feasibility and effectiveness. In this paper a novel formulation of human resource allocation problem is proposed, in which some of main individual characteristics are considered and described mathematically, including psychology, behaviour and characteristics diged from them such as weakness. The other contribution of this paper is using inverse optimization to adjust parameters based on the given ideal allocation plan. Both of these propositions have a positive significance on promoting development and security construction for process industries.This research incorporates the academic thinking of inverse optimization, it not only puts psychology and behavior into optimization model, but also data mines weakness characteristics under the psychology and behavior data, and find a new way to introducing the weakness characteristics into decision making model. It provides a new thought for the following decision making problem, that is the ideal decision plan is known, and optimization parameters are changeable. It promotes the combining of psychology, behavior and operations research, it is good for process industries to develop in a safety and efficiency way.

نتیجه گیری

5. Conclusions


This study adopts the linear programming method to a human resources allocation model with consideration of competency disadvantage structure by the logic of “competency indicator system→competency evaluation method based on disadvantage structure →optimization model →inverse optimization converting→ solution”.


The main contribution of the article is as follows: firstly, we propose a method which can introduce psychology and behavior features into optimization model; secondly, we propose a new method which can solve the problem whose ideal solution is known, we try to make the ideal solution the optimimal solution with the method of adjust the optimization parameters, and with consideration of the stability of the original system(described by forward optimization model), we claim that the adjustment is as small as possible. Thirdly, this method solves the problem of the forward optimization parameters are unknown or changeable, but we can give a estimation value according to experience, what we need to do is to determine the parameter value. It promotes the combining of psychology, behavior and operation research, it is good for process industries to develop in a safety and efficiency way.