ارائه مدل بهینه سازی زنجیره تامین چهار سطحی چند محصولی بر اساس تقاضای تصادفی با تابع توزیع احتمالی

صالحی مقدم, شیما; درویش متولی, محمد حسین

doi:10.48301/kssa.2024.421665.2742

ارائه مدل بهینه سازی زنجیره تامین چهار سطحی چند محصولی بر اساس تقاضای تصادفی با تابع توزیع احتمالی

نوع مقاله : مقاله پژوهشی (توسعه ای)

نویسندگان

شیما صالحی مقدم ¹

محمد حسین درویش متولی ²

¹ استادیار، گروه مدیریت، دانشگاه بین المللی علامه عسکری (ره)، تهران، ایران.

² استادیار، گروه مدیریت صنعتی، واحد تهران غرب، دانشگاه آزاد اسلامی، تهران، ایران

10.48301/kssa.2024.421665.2742

چکیده

توجه به کاهش هزینه، افزایش سرعت تحویل و بهبود مستمر کیفیت محصولات و خدمات در فضای رقابتی به عنوان یک الزام برای صنایع تبدیل شده است. پیچیدگی‌های موجود در سطوح مختلف و روابط همراه با عدم قطعیت در سراسر زنجیره، تصمیم‌گیری زنجیره ‌تأمین را دچار چالش کرده است. هدف کلی از این پژوهش، مدل‌سازی و توسعه مدل شبکه زنجیره‌تأمین چندسطحی، چندمحصولی، چند دوره ای با اهدافی متعارض همچون کمینه‌کردن هزینه، کمینه کردن زمان تحویل و بیشینه-کردن قابلیت اطمینان کل سیستم می باشد. این پژوهش از نظر هدف و نتایج کاربردی و مبتنی بر رویکرد پژوهش عملیاتی می باشد، از نظر زمان مقطعی و به لحاظ متغیرها کمی است. در این پژوهش با فرض تصادفی بودن تقاضا و پیروی کردن آن از تابع توزیع احتمالی مدل ریاضی چند هدفه ارائه شده است. به منظور اعتبار سنجی مدل ارائه شده، از داده های زنجیره تامین صنعت فولاد و نرم افزار لینگواستفاده شد و با بکارگیری طراحی آزمایش‌ها به برآورد رابطه ریاضی مربوط به تابع هدف هزینه اقدام شد و مدل چندهدفه با رویکرد اپسیلون محدودیت حل شد. در انتها نیز اعتبارسنجی و آنالیز حساسیت برخی پارامترها صورت پذیرفت. نتایج نشان داد مدل ارائه شده قادر است زنجیره های تامین 4 سطحی ارائه کننده چند محصول غیر فاسد شدنی را که دارای تقاضای تصادفی هستند و توزیع آن ها احتمالی است را بهینه نماید و قابلیت اطمینان به زنجیره تامین را بهبود بخشد.

کلیدواژه‌ها

زنجیره تأمین

مدل چندهدفه

تقاضای تصادفی

بهینه‌سازی

موضوعات

مدیریت

عنوان مقاله English

A New Model for the four-level multi-product supply chain optimization based on stochastic demand with probability distribution function

نویسندگان English

Shima Salehi moghadam ¹

mohammad hossein Darvish motevalli ²

¹ Assistant Professor, Department of Management, Allameh Askari International University, Tehran, Iran.

² Assistant Professor,Department of Industrial Management, WT.C., Islamic Azad University, Tehran, Iran .

چکیده English

Paying attention to cost reduction, increasing delivery speed and continuously improving the quality of products and services in a competitive environment has become a requirement for industries. Complexities at different levels and relationships along with uncertainty throughout the chain have challenged the decision-making of the supply chain. The general purpose of this research is to model and develop a multi-level, multi-product, multi-period supply chain network model with conflicting goals such as cost minimization, delivery time minimization, and system reliability maximization. This research is practical in terms of purpose and results and based on operational research approach, it is cross-sectional in terms of time and quantitative in terms of variables. In this research, a multi-objective mathematical model has been presented assuming that the demand is random and follows the probability distribution function. In order to validate the presented model, the supply chain data of the steel industry and Lingo software were used, and by applying the design of experiments, the mathematical relationship related to the cost objective function was estimated, and the multi-objective model was solved with the epsilon constraint approach. At the end, validation and sensitivity analysis of some parameters was done. The results showed that the presented model is able to optimize 4-level supply chains providing several non-perishable products that have random demand and their distribution is probable and improve the reliability of the supply chain.

کلیدواژه‌ها English

supply chain

multi-objective model

random demand and optimization

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