کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7541107 1489047 2018 33 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Green logistics under imperfect production system: A Rough age based Multi-Objective Genetic Algorithm approach
ترجمه فارسی عنوان
تدارکات سبز تحت سیستم تولید ناقص: یک روش الگوریتم ژنتیک چند هدفه مبتنی بر ردیف
کلمات کلیدی
تدارکات، تولید ضعیف، انتشار کربن، تصمیم مدیریتی، الگوریتم ژنتیک،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی
Imperfect economic production lot size (EPL) models are considered with time dependent defective rate. Here, defective production starts after the passage of some time from production commencement. Produced defective units are partially reworked and sold as fresh units. Under the environmental regulation, a cost (carbon tax) is charged by the government to mitigate global warming by reducing carbon emission (CE). Management also uses carbon trading when upper limit of carbon emission is given by the government. These costs bring a contradiction to a production manager. For more profit, if more production is decided, then CE and tax due to that are more. The models are formulated as single- and multi-objective profit maximization problems and solved using Rough age based single- and multi-objective Genetic Algorithms (RMOGAs). Numerical experiments are performed and graphical presentation of the results are depicted to illustrate the models. An algorithm with example for a firm management to achieve the maximum profit is also presented.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 119, May 2018, Pages 100-113
نویسندگان
, , ,