نوع مقاله : مقاله پژوهشی - کاربردی
نویسندگان
1 گروه مهندسی صنایع، دانشگاه پیام‌نور، تهران، ایران.
2 گروه مهندسی صنایع، دانشکده فنی، دانشگاه تهران، تهران، ایران.
چکیده
هدف: طی دهه‌های پیشین، صنعت هتلداری در سطح بین‌المللی به صنعتی رقابتی مبدل شده است که کشورها جهت کسب حداکثر درآمد حاصل از آن، متمایل به به‌کارگیری مدل‌های توسعه داده شده، تکنیک‌های جدید و ارایه نوآوری‌ها شده‌اند. به همین سبب توجه به چگونگی مدیریت درآمد هتل‌ها و از سویی دیگر مدیریت هزینه‌های سفر و حمل‌ونقل مسافر و به‌کارگیری مدل‌سازی‌های سازگار با این حوزه جهت بهینه‌سازی در دستیابی به اهداف ضرورت دارد.
روش‌شناسی پژوهش: در این پژوهش، طرح مسایل در خصوص بهینه‌سازی مدیریت درآمد هتل‌ها، مدیریت هزینه مسافران و واکاوی چگونگی توسیع حمل‌ونقل استفاده‌شده توسط آن‌ها صورت‌گرفته است. پیش‌بینی چگونگی حمل‌ونقل مسافر و انتخاب نوع آن باتوجه‌به حالت‌های مختلف سفر چون هوایی، ریلی، آبی و جاده‌ای مبتنی بر میزان بودجه مسافر از مسایل شاخص موردمطالعه است.
یافته‌ها: در مدل‌سازی‌های انجام‌شده عوامل و معیارهای موثر بسیاری لحاظ شده است و میزان ظرفیت پذیرش هتل‌ها در شهرهای منتخب مسافران و ارایه انواع اتاق‌ها با قیمت‌گذاری‌های مختلف و بررسی عناصر وابسته به خدمات ارایه شده برای مسافر توسط هتل و دسترسی‌های مختلف هتل که مبتنی بر مدل درآمد هتل‌هاست، تاثیر به سزایی در برآورد وضعیت عوامل رقابتی هتل‌ها دارد. به جهت پیش‌بینی‌های مدنظر سطح تقاضای انواع مسافران جهت رزرو هتل طی دوره‌های مختلف زمانی در فصول متفاوت گردشگری بر اساس بودجه تخصیص‌داده‌شده توسط مسافر برای پرداخت هزینه‌ها در طی الگوی سفر و نتایج مرتبط مستخرج از مدل درآمدی برآورد شده و عوامل تاثیرگذار در انتخاب هتل و حمل‌ونقل و چگونگی سفر شناسایی شده است.
اصالت/ارزش افزوده علمی: طرح مسایل NP-Hard در پژوهش حاضر سبب شده است تا در ابعاد کوچک از استراتژی‌های دقیق و در ابعاد متوسط و بزرگ از الگوریتم‌های فراابتکاری NSGA-II و MOPSO جهت حل بهره گرفته شود. نتایج مستخرج از محاسبات صورت‌گرفته حاکی از آن است که الگوریتم‌های پیشنهادی روش کارا و مناسبی برای حل مسایل بوده است.
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
Multi-objective mathematical modeling focused on hotel revenue and passenger cost by NSGA-II and MOPSO
نویسندگان [English]
- Mohammad-Saviz Asadi-Lari 1
- Maryam Abbas Ghorbani 1
- Reza Tavakkoli-Moghaddam 2
1 Department of Industrial Engineering, Payame Noor University, Tehran, Iran.
2 Department of Industrial Engineering , College of Engineering, University of Tehran, Tehran, Iran.
چکیده [English]
Purpose: The hotel industry has become a competitive industry at the international level in recent decades, and countries have tended to use developed models and new techniques, and provide innovations to maximize income from it. As a result, it is critical to pay attention to how we can manage hotel income while noticing travel and passenger transportation costs and use modeling compatible with this field to optimize goal achievement.
Methodology: The problems of optimizing hotel revenue management, passenger cost management, and analyzing how to expand the transportation used by them have been studied in this research. One of the key issues studied is to predict how to transport a passenger and choose its type based on different modes of travel such as air, rail, water, and road based on the amount of the passenger’s budget.
Findings: Many effective factors and criteria have been considered in the modeling done, and the amount of hotel reception capacity in the selected cities of travelers and the provision of various types of rooms with different pricing, and the examination of elements related to the services provided to travelers by the hotel and different accesses of the hotel, which is based on the hotel’s revenue model, affect on. It is useful to estimate the state of competitive factors of hotels. Noteworthy, the transfer and mode of transportation have been determined to predict the level of demand for hotel reservations for all types of travelers during different periods in different tourism seasons. This subject is based on the traveler’s budget allocated for paying expenses during the travel pattern and the related results extracted from the estimated income model, as well as the influencing factors in choosing the hotel and transportation.
Originality/Value: In the current study, the design of NP-Hard problems led to the use of exact methods in small-sized problems and two multi-objective meta-heuristic algorithms, namely NSGA-II and MOPSO, in medium- and large-sized problems. The computation results show that the proposed algorithms are efficient and suitable methods for problem-solving.
کلیدواژه‌ها [English]
- Multi-objective mathematical modeling
- Revenue management
- Passenger cost
- Particle swarm optimization
- Genetic algorithm
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