طراحی الگوی دینامیکی کنترل موجودی با به‌کارگیری الگوریتم فراابتکاری ترکیبی جهت بهینه‌سازی انبار بیمارستان در همه‌گیری کووید 19

نوع مقاله : پژوهشی اصیل

نویسندگان
1 دانشجوی دکتری، گروه مدیریت صنعتی، دانشکده کسب‌و‌کار و اقتصاد، دانشگاه خلیج فارس، بوشهر، ایران.
2 دانشیار، گروه مدیریت صنعتی، دانشکده کسب‌و‌کار و اقتصاد، دانشگاه خلیج فارس، بوشهر، ایران.
3 استادیار، گروه مدیریت صنعتی، دانشکده کسب‌و‌کار و اقتصاد، دانشگاه خلیج فارس، بوشهر، ایران.
چکیده
مدیریت موجودی و برنامه‌ریزی سفارش در مراکز درمانی به‌ویژه در شرایط بیماری‌های همه‌گیر امری بسیار ضروری است و می‌تواند تأثیر به‌سزایی در کاهش هزینه‌ها، ارائه مطلوب خدمات به بیماران و تأمین ملزومات گروه درمان داشته باشد. هدف اصلی این پژوهش، طراحی الگوی دینامیکی چند‌کالایی گسسته زمان برای مدیریت بهینه موجودی و برنامه‌ریزی سفارش‌های کالاهای مصرفی بیمارستان‌ها در شرایط همه‌گیری کووید 19 است. قلمرو مکانی این مطالعه، بیمارستان خلیج فارس در شهر بوشهر است. در این مطالعه برای حل الگوی ریاضی، از الگوریتم ترکیبی بهینه‌سازی ازدحام ذرّات - ژنتیک تحت سناریوهای چندگانه استفاده شده است. نتایج نشان داد الگوی ارائه‌شده بر پایه تأمین تقاضای اولیه، در نوع و میزان مصرف کالاهای مختلف، قابلیت کمینه‌کردن هزینه‌ها با در‌نظر‌گرفتن محدودیت حجم انبار تحت سناریوهای چندگانه را دارد. الگوریتم ترکیبی ارائه شده در مقایسه با الگوریتم‌‌های ژنتیک و بهینه‌سازی ازّدحام ذرّات نیز از عملکرد بهتری برخوردار است.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Designing dynamic inventory control model using a hybrid meta-heuristic algorithm to optimize the hospital warehouse in the epidemic Covid 19

نویسندگان English

hamed jabbari 1
Hamid Shahbandarzadeh 2
Ahmad Ghorbanpur 3
1 PhD student in Industrial Management, Faculty of Business and Economics, Persian Gulf University, Iran.
2 Associate Professor, Department of Industrial Management, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran.
3 Assistant Professor, Department of Industrial Management, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran.
چکیده English

Inventory management and order planning in medical centers is very important, especially in the context of epidemic diseases, and can have a significant impact on reducing costs, providing optimal services to patients and meeting the needs of medical staff. The main purpose of this study is to design a time-varying multi-commodity dynamic model for optimal inventory management and planning of consumer goods orders of hospitals in the pandemic of Quaid 19. The study area is the Persian Gulf Hospital in Bushehr. In this study, a particle-genetic swarm optimization algorithm under multiple scenarios has been used to solve the mathematical model. The results showed that the proposed model based on the supply of initial demand, in the type and amount of consumption of different goods, has the ability to minimize costs by considering the limit of warehouse volume under multiple scenarios. Also, the hybrid algorithm has a better performance compared to genetic algorithms and particle swarm optimization.

کلیدواژه‌ها English

Dynamic model
hybrid meta-heuristic algorithm
Inventory control
Covid 19 epidemic
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