篇名 | A Novel Bi-level Programming Model for Cloud Logistics Resources Allocation |
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卷期 | 30:6 |
作者 | Fu-Li Zhou 、 Yan-Dong He 、 Lei Deng 、 Min Wang |
頁次 | 016-030 |
關鍵字 | bi-level programming 、 cloud logistics 、 flexible factors 、 logistics resources allocation 、 non-dominated Sorting Genetic Algorithm II 、 EI 、 MEDLINE 、 Scopus |
出刊日期 | 201912 |
DOI | 10.3966/199115992019123006002 |
The logistics resources allocation study involves many interests under the cloud logistics environment, but most previous publications focused the traditional decision making model in terms of quality of service (QoS) attributes including cost, quality and time, with ignoring the flexible factors and reliability of the cloud logistics service portfolio. To fill the gap, the uncertain factors of logistics service process and the interests of multi stakeholders including logistics service demanders and operators of cloud logistics service platform are considered in logistics resources allocation problem. The novel bi-level programming model is formulated based on QoS criteria and flexible factors of cloud logistics service composition. In addition, the non-dominated Sorting Genetic Algorithm II (NSGA-II) is designed and employed to deal with the NP-hard problem. A numerical case is conducted to verify the effectiveness of the established mathematical model and the validity of the algorithm.