کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4764951 1423855 2017 9 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
Datasets for supplier selection and order allocation with green criteria, all-unit quantity discounts and varying number of suppliers
ترجمه فارسی عنوان
مجموعه داده ها برای انتخاب تامین کننده و تخصیص سفارش با معیارهای سبز، تخفیف کمیت مقدار کلی و تعدادی از تامین کنندگان
کلمات کلیدی
داده های انتخاب تامین کننده سبز، داده های زمان محاسبه، تخفیف کمترین قیمت، در دسترس عرضه کننده، بهینه سازی بی هدف، تصمیم گیری چند معیاره،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی

This data article provides detailed optimization input and output datasets and optimization code for the published research work titled “Dynamic green supplier selection and order allocation with quantity discounts and varying supplier availability” (Hamdan and Cheaitou, 2017, In press) [1]. Researchers may use these datasets as a baseline for future comparison and extensive analysis of the green supplier selection and order allocation problem with all-unit quantity discount and varying number of suppliers. More particularly, the datasets presented in this article allow researchers to generate the exact optimization outputs obtained by the authors of Hamdan and Cheaitou (2017, In press) [1] using the provided optimization code and then to use them for comparison with the outputs of other techniques or methodologies such as heuristic approaches. Moreover, this article includes the randomly generated optimization input data and the related outputs that are used as input data for the statistical analysis presented in Hamdan and Cheaitou (2017 In press) [1] in which two different approaches for ranking potential suppliers are compared. This article also provides the time analysis data used in (Hamdan and Cheaitou (2017, In press) [1] to study the effect of the problem size on the computation time as well as an additional time analysis dataset. The input data for the time study are generated randomly, in which the problem size is changed, and then are used by the optimization problem to obtain the corresponding optimal outputs as well as the corresponding computation time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data in Brief - Volume 13, August 2017, Pages 444-452
نویسندگان
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