Integrated Multi-objective Scheduling for Multi-task on Perishable Products

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外文摘要：The cost and delivery time have become the biggest challenges in small volume perishable products logistics under E-commerce. In order to better solve this problem, an integrated multi-task operation framework is proposed from the system optimization perspective by analyzing the characteristics of perishable products. As the current scheduling models seldom consider both the benefits of individual tasks and overall multi-task simultaneously, a novel multi-objective model aiming at maximizing the mean fractional remaining shelf-life, minimizing the total logistics cost and remaining fractional shelf-life deviation of all tasks is proposed. In view of variable length path selection and resources capability conflict in the process of solving, a Non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ) with adaptive variable length chromosome cross and double mutation mechanisms is designed. Finally, the validity of the model is verified by comparing different models based on a corresponding case.

外文关键词：

Integrated SchedulingMulti-objective OptimizationPerishable ProductsNon-dominated Sorting Genetic Algorithm

作者：

Lin Zhou、Yun Lin、Xu Wang、Lin Ni、Yandong He

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作者单位：

College of Mechanical Engineering, Chongqing University, Chongqing 400030, China

College of Mechanical Engineering, Chongqing University, Chongqing 400030, China,State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China,Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing 400030, China

出版年：

2015

DOI：

10.12733/jics20107123

Journal of information and computational science

ISSN：1548-7741

年,卷(期)：2015.12(18)