زمان‌بندی کارکنان موقت با بهره‌وری متغیر

اکبری, محمد

نویسنده

محمد اکبری

استادیار، گروه مدیریت، دانشکده مدیریت و اقتصاد، دانشگاه پیام نور، تهران، ایران.

چکیده

هدف اصلی این پژوهش به کارگیری مهندسی عوامل انسانی در تئوری زمان‌بندی به منظور بهینه‌سازی عملکرد نیروی کار است. در این مقاله مسأله زمان‌بندی نیروی کار موقت با عملکرد متغیر مورد بررسی قرار گرفته شده است. تابع هدف مدل مورد بررسی کمینه‌سازی هزینه‌های نیروی کار است و مدل ریاضی ارائه شده بهترین طول زمانی شیفت کاری و تخصیص کارکنان را مشخص می‌کند. ویژگی منحصر به فرد این پژوهش در نظر گرفتن ابعاد ارگونومی (خستگی کارکنان) در زمان‌بندی کارکنان است. برای حل مدل ریاضی ارائه شده از الگوریتم ژنتیک استفاده شد. برای بررسی اثربخشی و کارایی مدل و الگوریتم ژنتیک مجموعه‌ای از مسائل حل شد. برای بررسی کارایی الگوریتم ژنتیک راه‌حل‌های به‌دست‌آمده با راه‌حل‌های نرم‌افزار لینگو مورد مقایسه قرار گرفت. مقایسه نتایج نشان داد که الگوریتم ژنتیک کارایی مطلوبی در یافتن پاسخ رضایت‌بخش در مدت زمان محاسباتی مناسب دارد. این پژوهش نشان داد که می‌توان خستگی کارکنان را در برنامه‌ریزی و زمان‌بندی کارکنان مدل‌سازی کرد و به منظور کاهش هزینه‌های کارکنان و افزایش کارایی تولید، شیفت‌های کاری انعطاف‌پذیر در نظر گرفت. پیشنهاد می‌شود که با استفاده از مدل ارائه شده به منظور بررسی سیاست‌های کاهش خستگی کارکنان و افزایش ظرفیت کاری آنان هزینه‌های این سیاست‌ها (چون آموزش، گردش شغلی، اتوماسیون و...) با میزان بهینگی اقتصادی ناشی از آن در زمان‌بندی، مقایسه و بهترین برنامه‌ها انتخاب گردد.

کلیدواژه‌ها

20.1001.1.2322200.1396.21.3.2.8

عنوان مقاله [English]

Part-Time Workforces Scheduling with Variable Productivity

نویسنده [English]

mohammad akbari

چکیده [English]

This research aims to incorporate human factors engineering into the scheduling theory in order to exploit optimized human performance. Staff scheduling issue in which part-time employees have variable performance was studied in this paper. Objective function of the mathematical model is to minimize staffing costs and provided model tries to determine best shifts duration and employees assignments. The unique characteristic and novelty of this study is consideration of ergonomic aspect (fatigue rate of employees) in staff scheduling problem. We used genetic algorithm to solve model. In order to examine effectiveness and efficiency of the model, a set of problems were solved. Also efficiency of GA algorithm results were compared against LINGO results. Comparison of results demonstrated that GA algorithm has good ability to find satisfying solution in reasonable computational running time. This study showed that we can model human fatigue in employee scheduling and planning and consider flexible working shifts to decrease labor cost and increase production efficiency. In order to study policies of decreasing labor fatigue and increasing his/her working capacity, applying provided model were suggested for comparing cost of policies (such as education, job rotation, automation and …) against economic benefits of them in scheduling and choosing the best.

کلیدواژه‌ها [English]

Staff Scheduling
Worker Fatigue
Part-Time Employee
genetic algorithm

مراجع

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پژوهش های مدیریت در ایران

زمان‌بندی کارکنان موقت با بهره‌وری متغیر

مراجع

مراجع

دوره 21، شماره 3
آذر 1396
صفحه 25-47

زمان‌بندی کارکنان موقت با بهره‌وری متغیر

مراجع

مراجع

دوره 21، شماره 3آذر 1396صفحه 25-47

دوره 21، شماره 3
آذر 1396
صفحه 25-47