基于参与意愿的物流联盟资源优化配置模型

doi:10.11959/j.issn.2096-3750.2021.00163

Abstract

Abstract:

In order to reduce the costs and improve the efficiency during large-scale logistics tasks, logistics alliances are established by enterprises to achieve scale effects.The stability of the cooperative operation of the logistics alliances is mainly reflected in the enthusiasm of enterprises for participating in cooperation.Therefore, a resource optimal allocation model based on the willingness to participate was proposed, considering the impact of the participation willingness of alliance members on the resource allocation of the alliance.A sorting method with the optimal solution based on the regret theory was proposed to solve the model, and the method was verified based on the participation willingness index.The results show that the participation willingness distribution score of the sorting method based on the regret theory is 3.5 times higher than that of the traditional method.It can be seen that the proposed method can effectively improve the scientificity and rationality of resource allocation, and can contribute to consolidate the stability of the collaborative operation of the supply chain.

Key words: logistics alliance, resource allocation, logistics task allocation, ranking of optimal solution

CLC Number:

TP305

Mengrong LI, Huayu ZHU, Jin QI, Yanfei SUN. Optimal allocation model of logistics alliance resources based on willingness to participate[J]. Chinese Journal on Internet of Things, 2021, 5(1): 108-116.

Figures/Tables 9

方案	属性O₁	属性O₂	…	属性O_n
A₁	${\bar{d}}_{11}^{}$	${\bar{d}}_{12}^{}$	…	${\bar{d}}_{1 n}^{}$
A₂	${\bar{d}}_{21}^{}$	${\bar{d}}_{22}^{}$	…	${\bar{d}}_{2 n}^{}$
$⋮$	$⋮$	$⋮$	$⋮$	$⋮$
A_m	${\bar{d}}_{m 1}^{}$	${\bar{d}}_{m 2}^{}$	…	${\bar{d}}_{m n}^{}$

References 16

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组号	C_max	T_max	S_min	W_min	函数值	除去W的函数值
1	3	7	0.5	200	-16.775 7	-23.901
2	2.95	6.95	0.55	199	-16.909 1	-31.013 1
3	3.1	6.95	0.45	202	-17.918 3	-19.192 6
4	3	6	0.48	200	-16.001 3	-20.001 3
5	3.2	7	0.49	201	-17.012 1	-22.918

子任务	任务名称	候选资源
LT₁	售卖机由生产工厂运至码头	车队R₁₁
		车队R₁₂
		车队R₁₃
LT₂	码头装箱（宁波）	码头R₂₁
		码头R₂₂
LT₃	水运至广州港	集装船R₃₁
		集装船R₃₂
		集装船R₃₃
LT₄	港口堆存	堆场R₄₁
		堆场R₄₂
LT₅	航空运输至海口	航空物流R₅₁
		航空物流R₅₂
		航空物流R₅₃
LT₆	功能检测	检测人员R₆₁
		检测人员R₆₂

方案	成本	时间	客户评价	参与意愿
A₁	17.5	8.5	97	0.86
A₂	18	9	99	0.85
A₃	16	10	98	0.91
A₄	18.4	8	95	0.87
A₅	20	6.5	98	0.88
A₆	19.2	9.5	96	0.79

方案	成本	时间	客户评价	参与意愿
A₁	[0.056 313, 0.822 791]	[0.035 556, 0.850 939]	[0.074 116, 0.938 066]	[0.0, 0.995 034]
A₂	[0.066 246, 0.832 481]	[0.117 430, 0.892 286]	[0.0, 0.877 970]	[0.040 166, 0.983 558]
A₃	[0.0, 0.732 127]	[0.238 733, 1.0]	[0.0431 36, 0.831 887]	[0.087 084, 1.0]
A₄	[0.078 376, 0.893 287]	[0.052 428, 0.875 190]	[0.172 890, 1.0]	[0.031 346, 0.945 084]
A₅	[0.087 347, 1.0]	[0.0, 0.694 640]	[0.092 438, 0.849 071]	[0.044 654, 0.950 375]
A₆	[0.019 653, 0.884 121]	[0.166 442, 0.852 952]	[0.174 341, 0.958 364]	[0.135 581, 0.946 663]

方案	成本	时间	客户评价	参与意愿
A₁	0.874 692	1.176 13	0.826 628	0.409 448
A₂	0.908 854	1.168 187	0.801 677	1.447 233
A₃	1.236 315	1.079 21	0.905 436	1.135 093
A₄	1.093 932	1.075 366	1.027 153	0.912 541
A₅	1.148 872	0.905 849	0.752 284	0.781 477
A₆	1.132 27	1.122 209	0.845 691	1.181 022

Optimal allocation model of logistics alliance resources based on willingness to participate

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