نوآوری‌های صنعتی

نوآوری‌های صنعتی

مدل شبیه‌‎سازی برای یک زنجیره تأمین انعطاف‌پذیر تحت شرایط اختلال: مطالعه موردی محصولات لبنی

نوع مقاله : مقاله پژوهشی

نویسندگان
گروه مهندسی صنایع، دانشگاه علم و فناوری مازندران، بهشهر، ایران.
چکیده
در این پژوهش، یک شبکه‌ی زنجیره تأمین محصولات لبنی در سطح کشور توسعه یافت که شامل یک تأمین‌کننده داخلی، مراکز تولید و توزیع و نقاط تقاضای مشتریان می‌باشد. به منظور تحلیل رفتار شبکه و شاخصه‌های عملکرد کلیدی مانند سودآوری، موجودی کالا، مدت زمان بین ثبت سفارش تا تحویل و سطح خدمت به مشتریان، مدل شبیه‌سازی با استفاده از نرم‌افزار AnyLogistix طراحی شد. برای شبیه‌سازی شرایط واقعی، اختلالاتی در ظرفیت مراکز تولید و توزیع ایجاد شد و دو سناریوی اختلال شامل تعطیلی مرکز تولید و تعطیلی مرکز توزیع به مدت ۹۰ روز در ابتدای ماه پنجم در نظر گرفته شد. جهت افزایش تاب‌آوری، سناریوهای مدیریتی مختلف برای هر اختلال بررسی شد. نتایج نشان می‌دهد که در سناریوی اختلال تولید، فعال‌سازی برون‌سپاری اضطراری تولید با پیمانکار خارجی، باعث افزایش افزونگی، ظرفیت تولید و سودآوری و بهبود سطح خدمت به مشتریان می‌شود. در سناریوی اختلال توزیع، بسته به اولویت تصمیم‌گیرنده، تغییر سیاست موجودی مراکز یا ایجاد مرکز توزیع پشتیبان، بهینه‌ترین راهکار محسوب می‌شوند. هدف اصلی پژوهش، ارائه چارچوب شبیه‌سازی پویای پشتیبان تصمیم‌گیری برای بهبود تاب‌آوری زنجیره تأمین محصولات لبنی در مواجهه با اختلالات پیش‌بینی‌نشده است.
کلیدواژه‌ها

عنوان مقاله English

Modeling for a Resilient Supply Chain under Disruption risk: A Case Study of Dairy Products

نویسندگان English

Fatemeh Eshaghi
Ashkan Mohsenzadeh Ledari
Department of Industrial Engineering, Mazandaran University of Science and Technology, Behshahr, Iran.
چکیده English

This study develops a comprehensive nationwide supply chain network model for perishable dairy products, integrating a domestic supplier, multiple production facilities and distribution centers, and geographically dispersed customer demand points. A discrete-event simulation model was constructed using AnyLogistix software to holistically analyze dynamic network behavior and quantify key performance indicators, including total profitability, system-wide inventory levels, order-to-delivery lead times, and service level fulfillment rates. To accurately assess resilience, deliberate capacity disruptions were incorporated. Two high-impact, prolonged disruption scenarios were modeled: a complete 90-day production center shutdown and a parallel 90-day distribution center shutdown, both initiating in the fifth operational month. For each scenario, a suite of proactive and reactive managerial response strategies was rigorously evaluated to determine optimal pathways for enhancing supply chain robustness and recovery. Simulation results demonstrate that during a production disruption, activating a pre-negotiated emergency production outsourcing contract significantly improves network redundancy, restores effective capacity, and mitigates losses in profitability and customer service levels. For distribution network failures, the optimal response is contingent upon strategic priorities: inventory policy adjustments across the remaining network offer a cost-efficient solution, while establishing a pre-qualified backup distribution center provides superior service continuity at a higher fixed cost. The core contribution of this research is a validated, dynamic simulation framework designed to support data-driven strategic decision-making for building resilience in critical food supply chains against unforeseen operational shocks. This versatile tool enables managers and planners to proactively stress-test the network, benchmark multiple mitigation strategies, and ultimately maintain stringent service level agreements while optimizing overall cost-efficiency and operational continuity in the face of disruptions.

کلیدواژه‌ها English

Dairy supply chain
Dynamic simulation
Resilience
Capacity disruption
supply chain risk
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  • تاریخ دریافت 05 آذر 1404
  • تاریخ بازنگری 11 بهمن 1404
  • تاریخ پذیرش 12 بهمن 1404