Research on green closed-loop supply chain with the consideration of double subsidy in e-commerce environment
被引:60
作者:
Guo, Jianquan
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机构:
Univ Shanghai Sci & Technol, 516 Jungong Rd, Shanghai 200093, Peoples R ChinaUniv Shanghai Sci & Technol, 516 Jungong Rd, Shanghai 200093, Peoples R China
Guo, Jianquan
[1
]
Yu, Hailing
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机构:
Univ Shanghai Sci & Technol, Business Sch, 516 Jungong Rd, Shanghai 200093, Peoples R ChinaUniv Shanghai Sci & Technol, 516 Jungong Rd, Shanghai 200093, Peoples R China
Yu, Hailing
[2
]
Gen, Mitsuo
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机构:
Fuzzy Log Syst Inst, Iizuka, Fukuoka, Japan
Tokyo Univ Sci, Tokyo, JapanUniv Shanghai Sci & Technol, 516 Jungong Rd, Shanghai 200093, Peoples R China
Gen, Mitsuo
[3
,4
]
机构:
[1] Univ Shanghai Sci & Technol, 516 Jungong Rd, Shanghai 200093, Peoples R China
[2] Univ Shanghai Sci & Technol, Business Sch, 516 Jungong Rd, Shanghai 200093, Peoples R China
Issues such as shortage of resources, degradation of environment, enhancement of consumers' environmental awareness and their preference for green products, continuous improvement of environmental protection laws and regulations of government, together with increasing competition among enterprises, make the construction of green supply chain, such as production, recycling and remanufacturing of environment-friendly products particularly important. However, there are still many constraints for enterprises to effectively implement green supply chain management, such as lack of research and development (R&D) funds and technical capacity. Moreover, government is also eager to know how to formulate effective financial subsidy policies to encourage manufacturers to actively build green supply chain. In the context of above issues, the maximum total profit model of green closed-loop supply chain system is constructed under the consideration of online and offline sales modes and consumers' green preference in this paper. Considering excessive computational time required when solving this non-linear optimization task with mixed continuous/integer variables via traditional optimization methods, meta-heuristic approaches, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are adopted to try to find and compare calculating example's approximate optimal solution. The calculating results indicated that enterprises could arrange the ratio of manufacturing and remanufacturing lots properly to achieve system optimal outcome; and government could adopt a suitable subsidy policy to encourage recycling and remanufacturing of used products. Sensitivity analysis of green degree of the recycled products proved that government could adopt the second subsidy strategy for low-green products to further promote the recycling and remanufacturing of enterprises. This research provides theoretical foundation for initiating reasonable government subsidy policy, formulating practical production and operation plan of enterprises as well as maximizing profits in E-commerce environment.
机构:
Shanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
Shanghai Maritime Univ, Sch Econ & Management, Shanghai, Peoples R ChinaShanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
Xu, Lang
;
Wang, Chuanxu
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Shanghai Maritime Univ, Sch Econ & Management, Shanghai, Peoples R ChinaShanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
Wang, Chuanxu
;
Zhao, Junjie
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机构:
Shanghai Maritime Univ, Sch Econ & Management, Shanghai, Peoples R ChinaShanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
机构:
Chosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South KoreaChosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South Korea
Yun, YoungSu
;
Chuluunsukh, Anudari
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Chosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South KoreaChosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South Korea
Chuluunsukh, Anudari
;
Gen, Mitsuo
论文数: 0引用数: 0
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机构:
Tokyo Univ Sci, Fuzzy Log Syst Inst, Shinjuku Ku, 1-3 Kagurazaka, Tokyo 1628601, JapanChosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South Korea
机构:
Shanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
Shanghai Maritime Univ, Sch Econ & Management, Shanghai, Peoples R ChinaShanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
Xu, Lang
;
Wang, Chuanxu
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai Maritime Univ, Sch Econ & Management, Shanghai, Peoples R ChinaShanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
Wang, Chuanxu
;
Zhao, Junjie
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机构:
Shanghai Maritime Univ, Sch Econ & Management, Shanghai, Peoples R ChinaShanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
机构:
Chosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South KoreaChosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South Korea
Yun, YoungSu
;
Chuluunsukh, Anudari
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机构:
Chosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South KoreaChosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South Korea
Chuluunsukh, Anudari
;
Gen, Mitsuo
论文数: 0引用数: 0
h-index: 0
机构:
Tokyo Univ Sci, Fuzzy Log Syst Inst, Shinjuku Ku, 1-3 Kagurazaka, Tokyo 1628601, JapanChosun Univ, Dept Business Adm, 309 Pilmun Daero, Gwangju 61452, South Korea