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A New Integrated Multi-Criteria Decision Making and Multi-Objective Programming Model for Sustainable Supplier Selection and Order Allocation
被引:26
作者:
You, Shan-Yong
[1
]
Zhang, Li-Jun
[2
]
Xu, Xue-Guo
[2
]
Liu, Hu-Chen
[3
,4
]
机构:
[1] Comba Telecom Syst China Ltd, Jiangsu Branch, Nanjing 210019, Peoples R China
[2] Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China
[3] China Jiliang Univ, Coll Econ & Management, Hangzhou 310018, Peoples R China
[4] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
来源:
SYMMETRY-BASEL
|
2020年
/
12卷
/
02期
基金:
中国国家自然科学基金;
关键词:
sustainable supplier selection;
order allocation;
hesitant linguistic term;
decision field theory;
PIPRECIA method;
FIELD-THEORY;
CRITERIA;
FRAMEWORK;
WEIGHTS;
D O I:
10.3390/sym12020302
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
With the increasing pressure from global competition, manufacturers have realized that sustainable production is significant in supply chain management. Sustainable supplier selection and order allocation (SSS&OA) play a distinct and critical role for organizations to achieve sustainable development and build competitive advantage. In this paper, we aim to develop a novel SSS&OA model for selecting the most suitable sustainable suppliers and determining the optimal order sizes among them. First, double hierarchy hesitant linguistic term sets (DHHLTSs) are adopted to deal with uncertainty in evaluating the sustainable performance of alternative suppliers. Then, an extended decision field theory is proposed to choose efficient sustainable suppliers dynamically. Considering quantity discount, a multi-objective linear programming (MOLP) model is established to allocate reasonable order quantities among the selected suppliers. Finally, the applicability and effectiveness of the developed model are illustrated through its application in the electronic industry and through a comparative analysis with other methods.
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页数:18
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