‌‌بهینه‌سازی زمان‌بندی ماشین‌‌‌های حمل در انبار متقاطع تحت شرایط عدم‌قطعیت با استفاده از تکنیک شبیه‌سازی (مورد مطالعه: انبار مرکزی میوه و تره‌بار شهرداری تهران)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مهندسی صنایع، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران.

2 دانشیار، گروه مهندسی صنایع، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران.

3 استادیار، گروه مهندسی صنایع، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران.

4 استاد، گروه مهندسی صنایع، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران.

چکیده

انبارداری متقاطع یک سیستم توزیع است که در آن کالاها با هدف آماده‌سازی در ظرفیت کامل ماشین‌‌‌های حمل و کاهش هزینه نگهداری موجودی از تأمین‌کنندگان به مقاصد تقاضا جابه­‌جا ‌‌می‌شوند. مسئله زمان‌بندی ماشین‌‌‌های حمل اخیراً توسط بسیاری از پژوهشگران موردمطالعه قرار گرفته، اما عمده این مطالعات در موارد و شرایط قطعی بوده است؛ درحالی‌که بسیاری از عدم­‌قطعیت‌ها در این فرآیند وجود دارد. در پژوهش حاضر، فرآیند مرتبط با عملیات انبار متقاطع در یک مرکز لجستیک (میدان مرکزی میوه و تره‌بار شهرداری تهران) با هدف کاهش زمان عملیات و سطح نگهداری موجودی،  مشخص­‌کردن تعداد بهینه نیروی انسانی و با درنظرگیری عدم‌­قطعیت‌ها در زمان ورود ‌ماشین‌ها به انبار، زمان انجام عملیات بارگیری و تخلیه، زمان جابه­‌جایی در انبار و دسترسی به منابع و تجهیزات توسعه داده می­‌شود. بعلت پیچیدگی محاسباتی مدل‌‌‌های حل دقیق و آزمایش و ارزیابی گزینه‌‌‌های متنوع عملیات انبار از یک رویکرد ‌‌بهینه‌سازی مبتنی بر شبیه‌سازی استفاده شده است که تلفیقی از شبیه‌سازی، طراحی آزمایش‌ها و روش سطح پاسخ ‌‌است. روش سطح پاسخ نشان ‌‌می‌دهد که بهترین سناریو شامل ترکیب، جابه‌­جایی مستقیم کالاها، حالت سرویس انحصاری و روش «اولین ورود ـ اولین سرویس»، ‌‌است؛ همچنین نتایج عددی تصدیق ‌‌می‌کنند سناریوی پیشنهادی معیارهای عملکردی در انبار موردمطالعه را بسیار بهبود ‌‌می‌بخشد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Optimizing Truck Scheduling in Cross Docking System under Uncertainty, Using Simulation Technique (Case Study: Central Fruit and Vegetable Warehouse of Tehran Municipality)

نویسندگان [English]

  • Mahziar Taghizadeh 1
  • Amir Abbas Shojaei 2
  • Amir Homayoun Sarfaraz 3
  • Sadigh Raissi 4
1 Ph. D student, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
2 Associate Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
3 Assistant Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
4 Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
چکیده [English]

Cross docking is a distribution system in which goods are transported to destinations with the aim of preparing trucks at full capacity and reducing inventory costs. The truck scheduling problem has recently been studied by many researchers, but mostly in deterministic cases and situations, while there are many uncertainties in this process. This paper intends to optimize the process related to cross docking operations in a logistics center (Central Fruit and Vegetable Warehouse of Tehran Municipality) with the aim of minimizing operation time, inventory holding, and determining the optimal number of operators under uncertainties in truck arrival time, loading and unloading operations time, handling time and availability of resources and equipment. Due to the computational complexity of precision solving and evaluation of various options, a simulation-based optimization approach has been used, which is a combination of simulation, design of experiment and response surface methodology (RSM). The response surface methodology shows that the best-case scenario includes composition, direct movement between docks, exclusive service mode and "first come-first served" method. Numerical results also confirm that the proposed scenario greatly improves the performance measures in the studied warehouse.

کلیدواژه‌ها [English]

  • Croos-dock
  • Truck Scheduling
  • Uncertainty
  • Simulation and RSM

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