دانلود مقاله انگلیسی رایگان:در حال توسعه یک مدل دو مرحله ای برای یک زنجیره تامین حلقه بسته پایدار با تصمیمات قیمت گذاری و تبلیغات - 2021
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  • Developing a two-stage model for a sustainable closed-loop supply chain with pricing and advertising decisions Developing a two-stage model for a sustainable closed-loop supply chain with pricing and advertising decisions
    Developing a two-stage model for a sustainable closed-loop supply chain with pricing and advertising decisions

    سال انتشار:

    2021


    عنوان انگلیسی مقاله:

    Developing a two-stage model for a sustainable closed-loop supply chain with pricing and advertising decisions


    ترجمه فارسی عنوان مقاله:

    در حال توسعه یک مدل دو مرحله ای برای یک زنجیره تامین حلقه بسته پایدار با تصمیمات قیمت گذاری و تبلیغات


    منبع:

    Sciencedirect - Elsevier - Journal of Cleaner Production, 309 (2021) 127165: doi:10:1016/j:jclepro:2021:127165


    نویسنده:

    Behrooz Khorshidvand


    چکیده انگلیسی:

    Closed-Loop Supply Chain (CLSC) has become a critical problem due to its effects on various factors including economic motivations, environmental concerns, and social impacts. Moreover, there are coordination tools, such as pricing and advertising, which impact its performance. In this paper, we offer a two-stage approach to model and solve a sustainable CLSC, taking into account pricing, green quality, and advertising. In the first stage, optimal decisions on pricing, greening, and advertising are made, while in the second stage, a fuzzy multi- objective Mixed Integer Linear Programming (MILP) model is used to maximize the total profit, reduce CO2 emissions, and improve social impacts. Suitable solution methods are introduced according to the scale of the problem. For small-scale instances, an augmented ϵ-constraint method is used to solve the problem. For large-scale instances, approximations are required, and a Lagrangian relaxation algorithm solves the problem in polynomial time. The performance of the proposed model is evaluated through various numerical examples. The results illustrate the applicability and efficiency of the model, while confirming significant improvements in sustainable objectives under optimal pricing, green quality, and advertising. Besides, the proposed Lagrangian relaxation method significantly reduces the computational time for large-scale instances, with only a 2.308% deviation from the optimal results.
    Keywords: Sustainable closed-loop supply chain | Multi-objective programming | Supply chain pricing | Augmented ϵ-constraint | Lagrangian relaxation | CO2 emissions


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 24
    حجم فایل: 4633 کیلوبایت

    قیمت: رایگان


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