考虑消费者异质性偏好的定制绿色农产品供应链均衡研究

doi:10.16381/j.cnki.issn1003-207x.2023.1162

Abstract

Abstract:

Under the joint promotion of the government and consumers， the green agricultural supply chain under mass customization based on community group purchasing is gradually emerging. Both the production and sale of agricultural products have shown a trend of multi-level development. However， at the same time， as the scale of the supply chain continues to grow， the output， quality and price competition between supply chain enterprises and multi-level agricultural products has become increasingly fierce. In the face of a large number of agricultural producers and sellers and thousands of personalized consumers， supply chain enterprises need to develop more detailed production planning and sales strategies based on the heterogeneous preferences of consumers， so as to more accurately provide differentiated agricultural products that match the needs of consumers， and to truly realize the docking between the farm and the table. This issue has received keen attention from many scholars and related enterprises.

Therefore， based on the green agricultural supply chain network composed of multiple producers， retailers and consumer communities， a network equilibrium model for green agricultural supply chain under mass customization considering consumer heterogeneity preferences is constructed， in which producers simultaneously produce agricultural products of different quality grades and sell them to different consumer communities through retailers. On this basis， the equilibrium conditions of producers， retailers and consumer communities are proposed， and production planning and sales strategies based on consumers’greenness preferences are explored for different consumer communities. Finally， the impact of factors such as agricultural production， logistics costs and types of consumer communities on the decisions and profits of supply chain enterprises is further analyzed. Through theoretical derivation and numerical simulation， the equilibrium of the green agricultural supply chain under mass customization is comprehensively discussed， so as to provide strategic suggestions for related industries and supply chain enterprises.

The results show that （i） selling medium and high quality products at the same time and properly cultivating the consumers’ preferences are both conducive to promote the popularization of green agricultural products while it is diﬃcult for the supply chain to achieve high returns if relying solely on high-end consumer communities；（ii） it can improve the overall revenue of the supply chain if all parties cooperate to expand the green agricultural market rather than compete；（iii） when agricultural production is insuﬃcient， selling agricultural products to ordinary communities with high preferences and high-end communities with low preferences could help to improve the resilience of supply chain；（iv） customized production and sales of agricultural products to only one type of consumer community is beneficial to enterprises， while customized production and sales to both types of communities is beneficial to consumers. The conclusions of the study can provide reference for decision-making of relevant enterprises and research in related fields.

Key words: green agricultural supply chain, network equilibrium, consumers’ heterogeneous preferences, mass customization

CLC Number:

F224

Linan Zhou,Gengui Zhou,Jianzhuang Zheng, et al. Research on Green Agricultural Supply Chain Network Equilibrium with Consumers' Heterogeneous Preferences under Mass Customization[J]. Chinese Journal of Management Science, 2026, 34(2): 275-286.

Figures/Tables 12

变量	含义
$i$	生产商下标，表示生产商 $i$ ， $i ∈ 1,2, ⋯, M$
$j$	零售商下标，表示零售商 $j$ ， $j ∈ 1,2, ⋯, N$
$k$	消费者社区下标，表示社区 $k$ ， $k ∈ 1,2, ⋯, K$
$g$	农产品质量等级下标，表示 $g$ 级农产品， $g ∈ 1,2, ⋯, G$
$e g$	$g$ 级农产品的绿色度，数值越大表示农产品绿色度越高， $e g ∈ 0,1$
$Y ¯ i$	生产商 $i$ 的种植量上限，受种植规模、天气、灾害等因素影响
$ε$	农产品生产过程中的自然损耗率， $ε ∈ 0,1$
$l i g e g, ε$	生产商 $i$ 生产 $g$ 级农产品的实际产出率，受农产品的绿色度和自然损耗率影响
$c i g e g$	生产商 $i$ 生产 $g$ 级农产品的单位生产成本，受农产品绿色度影响
$Y i g$	生产商 $i$ 的 $g$ 级农产品种植量
$s i P L Y$	生产商 $i$ 的销售竞争成本，受所有生产商的 $G$ 个质量等级农产品产出量影响
$w i j g$	生产商 $i$ 与零售商 $j$ 交易的 $g$ 级农产品批发价格
$Q i j g$	生产商 $i$ 与零售商 $j$ 交易的 $g$ 级农产品数量
$t i j P Q i j$	生产商 $i$ 与零售商 $j$ 交易时承担的交易成本，受 $G$ 个质量等级农产品交易量影响
$t i j R Q i j$	零售商 $j$ 与生产商 $i$ 交易时承担的交易成本，受 $G$ 个质量等级农产品交易量影响
$p j k g$	零售商 $j$ 销往社区 $k$ 的 $g$ 级农产品批发价格
$a j k g$	零售商 $j$ 销往社区 $k$ 的 $g$ 级农产品数量
$s j R A$	零售商 $j$ 的销售竞争成本，受零售商的 $G$ 个质量等级农产品总销量影响
$c j k g e g$	零售商 $j$ 销往社区 $k$ 的 $g$ 级农产品单位物流运输费用，由消费者承担，受农产品绿色度影响
$p k g$	社区 $k$ 中 $g$ 级农产品零售价格
$f k g e g$	社区 $k$ 中 $g$ 级农产品对其他农产品的价格竞争影响因子，受农产品绿色度影响
$u k$	社区 $k$ 的消费者绿色度偏好，即该社区中消费者群体偏好的绿色度，其期望值 $τ k ∈ 0,1$
$d k g p k, f k, u k, e g$	社区 $k$ 中 $g$ 级农产品的需求量，受 $G$ 个质量等级农产品的零售价、价格竞争和消费者绿色度偏好以及农产品绿色度共同影响

变量	$σ = 0.1$		$σ = 0.5$
变量	$τ = 0.1$	$τ = 0.3$	$τ = 0.1$	$τ = 0.3$
$g$	(2,3)	(3,4)	(3,4)	(3,4)
$e g$	(0.3,0.5)	(0.5,0.7)	(0.5,0.7)	(0.5,0.7)
$Y i g$	(27.18,28.67)	(31.05,32.12)	(17.87,20.61)	(18.13,22.03)
$c i g$	(2.25,6.25)	(6.25,12.25)	(6.25,12.25)	(6.25,12.25)
$l i g$	(0.79,0.72)	(0.72,0.64)	(0.72,0.64)	(0.72,0.64)
$w i j g$	(25.58,31.01)	(32.06,41.64)	(23.12,33.76)	(23.49,34.49)
$a j k g$	(21.44,20.61)	(22.32,20.51)	(12.84,13.16)	(13.03,14.07)
$p k g$	(60.32,65.34)	(67.64,76.32)	(45.54,56.35)	(46.55,58.08)
$s i P$	373.64	387.44	152.85	165.05
$s j R$	221.06	229.74	84.56	91.96
$π i P$	331.51	344.20	126.83	137.81
$π j R$	663.01	688.41	253.66	275.62
$π$	994.52	1032.61	380.50	413.43

变量	$c j k g = 0$		$c j k g = 200 e g 2$
变量	$τ = 0.1$	$τ = 0.3$	$τ = 0.1$	$τ = 0.3$
$g$	(2,3)	(3,4)	(2,3)	(2,3)
$e g$	(0.3,0.5)	(0.5,0.7)	(0.3,0.5)	(0.3,0.5)
$Y i g$	(27.18,28.67)	(31.05,32.12)	(24.39,18.69)	(17.58,21.44)
$c i g$	(2.25,6.25)	(6.25,12.25)	(2.25,6.25)	(2.25,6.25)
$l i g$	(0.79,0.72)	(0.72,0.64)	(0.79,0.72)	(0.79,0.72)
$w i j g$	(25.58,31.01)	(32.06,41.64)	(22.14,25.08)	(18.61,25.22)
$a j k g$	(21.44,20.61)	(22.32,20.51)	(19.24,13.43)	(13.87,15.41)
$p k g$	(60.32,65.34)	(67.64,76.32)	(69.09,101.13)	(61.18,100.56)
$s i P$	373.64	387.44	239.11	190.44
$s j R$	221.06	229.74	137.63	107.44
$π i P$	331.51	344.20	202.23	160.87
$π j R$	663.01	688.41	404.47	321.74
$π$	994.52	1032.61	606.70	482.61

变量	$l i g = 1 - 0.125 ⋅ (1 + e g) 2$		$l i g = 1$
变量	$τ = 0.1$	$τ = 0.3$	$τ = 0.1$	$τ = 0.3$
$g$	(2,3)	(3,4)	(2,3)	(3,4)
$e g$	(0.3,0.5)	(0.5,0.7)	(0.3,0.5)	(0.5,0.7)
$Y i g$	(27.18,28.67)	(31.05,32.12)	(21.47,21.10)	(22.61,21.78)
$c i g$	(2.25,6.25)	(6.25,12.25)	(2.25,6.25)	(6.25,12.25)
$l i g$	(0.79,0.72)	(0.72,0.64)	(1,1)	(1,1)
$w i j g$	(25.58,31.01)	(32.06,41.64)	(25.13,28.95)	(30.15,35.74)
$a j k g$	(21.44,20.61)	(22.32,20.51)	(21.47,21.10)	(22.61,21.78)
$p k g$	(60.32,65.34)	(67.64,76.32)	(60.16,63.79)	(66.65,71.83)
$s i P$	373.64	387.44	382.50	414.01
$s j R$	221.06	229.74	226.62	246.41
$π i P$	331.51	344.20	339.91	369.53
$π j R$	663.01	688.41	679.81	739.07
$π$	994.52	1032.61	1019.72	1108.60

变量	$c j k g = 0$		$c j k g = 200 e g 2$
变量	$τ = 0.1$	$τ = 0.3$	$τ = 0.1$	$τ = 0.3$
$g$	(3,4)	(3,4)	(2,3)	(3,4)
$e g$	(0.5,0.7)	(0.5,0.7)	(0.3,0.5)	(0.5,0.7)
$Y i g$	(30.74,32.03)	(27.50,31.77)	(23.83,20.69)	(18.96,16.03)
$c i g$	(6.25,12.25)	(6.25,12.25)	(2.25,6.25)	(6.25,12.25)
$l i g$	(0.72,0.64)	(0.72,0.64)	(0.79,0.72)	(0.72,0.64)
$w i j g$	(31.88,41.55)	(30.10,40.84)	(22.17,26.05)	(22.98,31.77)
$a j k g$	(22.10,20.46)	(19.77,20.30)	(18.80,14.87)	(13.63,10.24)
$p k g$	(67.21,76.06)	(63.01,74.02)	(69.40,103.32)	(94.73,149.82)
$s i P$	382.64	341.09	249.11	132.86
$s j R$	226.72	200.68	143.63	72.66
$π i P$	339.75	300.99	213.52	107.55
$π j R$	679.49	601.98	427.03	215.10
$π$	1019.24	902.97	640.55	322.65

变量	$l i g = 1 - 0.125 ⋅ (1 + e g) 2$		$l i g = 1$
变量	$τ = 0.1$	$τ = 0.3$	$τ = 0.1$	$τ = 0.3$
$g$	(3,4)	(3,4)	(2,3)	(3,4)
$e g$	(0.5,0.7)	(0.5,0.7)	(0.3,0.5)	(0.5,0.7)
$Y i g$	(30.74,32.03)	(27.50,31.77)	(20.93,22.91)	(20.04,21.58)
$c i g$	(6.25,12.25)	(6.25,12.25)	(2.25,6.25)	(6.25,12.25)
$l i g$	(0.72,0.64)	(0.72,0.64)	(1,1)	(1,1)
$w i j g$	(31.88,41.55)	(30.10,40.84)	(25.18,30.16)	(28.18,34.95)
$a j k g$	(22.10,20.46)	(19.77,20.30)	(20.93,22.91)	(20.04,21.58)
$p k g$	(67.21,76.06)	(63.01,74.02)	(60.56,66.54)	(62.02,69.56)
$s i P$	382.64	341.09	404.94	367.00
$s j R$	226.72	200.68	240.73	216.91
$π i P$	339.75	300.99	360.61	325.08
$π j R$	679.49	601.98	721.23	650.15
$π$	1019.24	902.97	1081.84	975.23

变量	$B 1 = 1000, B 2 = 500$	$B 1 = 750, B 2 = 750$	$B 1 = 500, B 2 = 1000$
$g$	(2,3)	(3,4)	(3,4)
$e g$	(0.3,0.5)	(0.5,0.7)	(0.5,0.7)
$Y i g$	(30.05,39.01)	(38.47,40.05)	(37.72,39.78)
$c i g$	(2.25,6.25)	(6.25,12.25)	(6.25,12.25)
$l i g$	(0.79,0.72)	(0.72,0.64)	(0.72,0.64)
$a j 1 g$	(17.40,16.52)	(14.12,12.19)	(11.25,9.46)
$a j 2 g$	(6.30,11.51)	(13.53,13.39)	(15.86,15.95)
$p 1 g$	(50.20,55.17)	(47.05,55.61)	(39.98,48.68)
$p 2 g$	(27.01,38.07)	(46.92,57.26)	(52.91,63.48)
$π i P$	277.08	265.96	270.34
$π j R$	554.16	531.91	540.67
$π$	831.24	797.87	811.01

References 32

[1]	李美羽，王成敏. “互联网+”背景下鲜活农产品流通渠道模式优化研究［J］. 北京交通大学学报（社会科学版）， 2019， 18（1）： 102-114.
	Li M Y， Wang C M. The optimization of circulation channel mode of fresh agricultural products under the background of "Internet plus"［J］. Journal of Beijing Jiaotong University（Social Sciences Edition）， 2019， 18（1）：102-114.
[2]	尚延超. “社区团购”概念下生鲜农产品现代流通体系构建研究［J］. 商业经济研究， 2021（19）： 150-153.
	Shang Y C. Research on the construction of modern circulation system of fresh agricultural products under the concept of “Community group purchase”［J］. Journal of Commercial Economics， 2021（19）：150-153.
[3]	Aghasafari H， Karbasi A， Mohammadi H， et al. Determination of the best strategies for development of organic farming： A SWOT-fuzzy analytic network process approach［J］. Journal of Cleaner Production，2020，277：1-12.
[4]	朱俊峰，邓远远. 农业生产绿色转型：生成逻辑、困境与可行路径［J］. 经济体制改革， 2022（3）： 84-89.
	Zhu J F， Deng Y Y. Green transformation of agricultural production： Logic of formation， dilemma and practical strategy［J］. Reform of Economic System， 2022（3）：84-89.
[5]	Thongplew N， Onwong J， Ransikarbum K， et al. Mainstreaming local organic foods： Organic food provision in a fresh market to promote organic production-consumption system in emerging economy［J］. Environment Development and Sustainability， 2025，27（12）：28847-28871.
[6]	李全海，朱鹏，郑军. 参与电商能否促进设施蔬菜种植户绿色生产：基于山东省五市十一县的微观调研［J］. 中国人口·资源与环境， 2024， 34（2）： 106-118.
	Li Q H， Zhu P， Zheng J. Can participating in e-commerce promote the green production of facility vegetable growers：based on a micro-survey of five cities and 11 counties in Shandong Province［J］. China population， resources and environment， 2024， 34（2）： 106-118.
[7]	Zhang L， Wang J， You J. Consumer environmental awareness and channel coordination with two substitutable products［J］. European Journal of Operational Research， 2015， 241（1）： 63-73.
[8]	但斌，郑开维，邵兵家.基于消费众筹的“互联网+”生鲜农产品供应链预售模式研究［J］.农村经济，2017（2）：83-88.
	Dan B， Zheng K W， Shao B J. Research on “Internet+” pre-sale mode of fresh agricultural supply chain based on consumer crowdfunding［J］. Rural Economy， 2017（2）：83-88.
[9]	计国君，孙忠锋.考虑参照价格效应及异质性消费者的预售决策［J］.系统工程理论与实践，2018，38（12）：3059-3070.
	Ji G J， Sun Z F. Advance selling with reference price effect and consumer heterogeneity［J］. Systems Engineering-Theory & Practice， 2018， 38（12）：3059-3070.
[10]	刘新民，蔺康康，王垒.消费者异质偏好对绿色产品定价决策的影响研究［J］.工业工程与管理，2018，23（4）：112-119.
	Liu X M， Lin K K， Wang L. Pricing decision for green products considering consumer heterogeneous preferences［J］. Industrial Engineering and Management， 2018， 23（4）：112-119.
[11]	闻卉，陶建平，曹晓刚.异质性生鲜农产品供应链的差别定价与协调策略［J］.数学的实践与认识，2018，48（16）：8-17.
	Wen H， Tao J P， Cao X G. Differentiation pricing and coordination policy of heterogeneous fresh agricultural products supply chain［J］. Mathematics in Practice and Theory， 2018， 48（16）：8-17.
[12]	叶永刚，刘晓峰. 消费者估价下绿色农产品供应链中企业最优决策［J］. 商业研究， 2020（9）： 92-99.
	Ye Y G， Liu X F. Research on optimal decision-making of enterprises in green agricultural product supply chain under consumers’ valuation［J］. Commercial Research， 2020（9）：92-99.
[13]	凌艳涛，徐静，张华.基于异质性消费者偏好下的绿色产品垂直差异化设计与定价策略［J］.管理工程学报，2021，35（6）：208-217.
	Ling Y T， Xu J， Zhang H. Vertical differentiation design and pricing strategy of green products based on heterogeneous consumer preference［J］. Journal of Industrial Engineering and Engineering Management， 2021，35（6）：208-217.
[14]	Ye Y G， Liu X F. Research on pricing decision of direct sales green supply chain based on consumers’ valuation［J］. Discrete Dynamics in Nature and Society， 2021， DOI： 10.1155/2021/7743647 .
[15]	Liu X J， Liu X S， Shi A， Li C W. Agricultural products’ bundled pricing based on consumers’ organic preferences［J］. Sustainability， 2023， 15（17）：13256.
[16]	常建红，王继光，武钰才.考虑绿色度的竞争性供应链产品决策研究［J］.管理评论，2022，34（10）：270-281.
	Chang J H， Wang J G， Wu Y C. The production decision of competing supply chains considering green degree［J］. Management Review， 2022， 34（10）：270-281.
[17]	韩梦圆，冯良清，张蕾. 绿色供应链中三重竞争对可替代产品的影响［J］. 中国管理科学， 2023， 31（4）： 89-100.
	Han M Y， Feng L Q， Zhang L. The impact of triple competition in the green supply chain on the issuance of substitutable products［J］. Chinese Journal of Management Science， 2023， 31（4）： 89-100.
[18]	Nagurney A， Dong J， Zhang D. A supply chain network equilibrium model［J］. Transportation Research Part E： Logistics and Transportation Review， 2002， 38（5）： 281-303.
[19]	Yu M， Nagurney A. Competitive food supply chain networks with application to fresh produce［J］. European Journal of Operational Research， 2013， 224（2）： 273-282.
[20]	Besik D， Nagurney A. Quality in competitive fresh produce supply chains with application to farmers’ markets［J］. Socio-Economic Planning Sciences， 2017， 60： 62-76.
[21]	Besik D， Nagurney A， Dutta P. An integrated multitiered supply chain network model of competing agricultural firms and processing firms： The case of fresh produce and quality［J］. European Journal of Operational Research， 2023， 307（1）： 364-381.
[22]	Nagurney A， Besik D， Yu M. Dynamics of quality as a strategic variable in complex food supply chain network competition： The case of fresh produce［J］. Chaos： An Interdisciplinary Journal of Nonlinear Science， 2018， 28（4）： 43-124.
[23]	周礼南，周根贵，綦方中，等. 考虑消费者有机产品偏好的生鲜农产品供应链均衡研究［J］.系统工程理论与实践， 2019， 39（2）： 360-371.
	Zhou L N， Zhou G G， Qi F Z， et al. Research on fresh agricultural supply chain network equilibrium with consumer’s preference for organic product［J］. Systems Engineering-Theory & Practice， 2019， 39（2）：360-371.
[24]	Jiang Y， Li K， Chen S， et al. A sustainable agricultural supply chain considering substituting organic manure for chemical fertilizer［J］. Sustainable Production and Consumption， 2022， 29： 432-446.
[25]	段彩泉，姚锋敏，夏莹，等. 不同秸秆回收补贴制度下可持续农产品供应链网络均衡［J］. 中国管理科学，2025，33（2）：308-319.
	Duan C Q， Yao F M， Xia Y， et al. Sustainable agricultural product supply chain network equilibrium under different straw recycling subsidy mechanisms［J］. Chinese Journal of Management Science，2025，33（2）：308-319.
[26]	林贵华，黄水华，陈拼博. 外包情形下生鲜农产品供应链网络均衡模型［J］. 系统科学学报，2024，32（4）：92-101.
	Lin G H， Huang S H， Chen P B. Supply chain network equilibrium model for fresh agricultural products under outsourcing［J］. Journal of Systems Science，2024，32（4）：92-101.
[27]	Nagurney A， Hassani D， Nivievskyi O， et al. Multicommodity international agricultural trade network equilibrium： Competition for limited production and transportation capacity under disaster scenarios with implications for food security［J］. European Journal of Operational Research， 2024， 314（3）： 1127-1142.
[28]	徐庆，朱道立，鲁其辉. Nash均衡、变分不等式和广义均衡问题的关系［J］. 管理科学学报， 2005， 8（3）：1-7.
	Xu Q， Zhu D L， Lu Q H. Relations among Nash equilibrium， variational inequalities and generalized equilibrium problem［J］. Chinese Journal of Management Science， 2005， 8（3）：1–7
[29]	余云龙，冯颖. 不同冷链服务模式下生鲜农产品供应链决策［J］. 中国管理科学， 2021， 29（9）： 135-143.
	Yu Y L， Feng Y. Impact of cold-chain service modes on decisions and performance in a fresh agri-product supply chain［J］. Chinese Journal of Management Science， 2021， 29（9）： 135-143.
[30]	杨青骥. 有容量限制的广义网络均衡比较［J］. 系统科学与数学， 2012， 32（2）： 129-134.
	Yang Q J. Comparisons among several generalized network equilibrium with capacity constraints［J］. Journal of Systems Science & Mathematical Sciences， 2012， 32（2）： 129-134.
[31]	He B S， Xu Y， Yuan X M. A logarithmic-quadratic proximal prediction-correction method for structured mono- tone variational inequalities［J］. Computational Optimization and Applications， 2006， 35（1）： 19-46.
[32]	Nagurney A， Li D. A supply chain network game theory model with product diﬀerentiation， outsourcing of production and distribution， and quality and price competition［J］. Annals of Operations Research， 2015， 226（1）： 479-503.

Research on Green Agricultural Supply Chain Network Equilibrium with Consumers' Heterogeneous Preferences under Mass Customization

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 12

References 32

Related Articles 13

Metrics

Comments

Recommended 0

[1]	Fuli Guo,Juhong Chen,Xin Ma,Ping Wang. Research on Network Equilibrium of Multi-stage Product Service Supply Chain Considering Uncertainty [J]. Chinese Journal of Management Science, 2024, 32(10): 194-202.
[2]	YANG Yu-xiang, GUAN Qian, ZHANG Bao-you, MENG Li-jun, YU Yan-na. Closed-loop Supply Chain Network Equilibrium Analysis under Carbon Tax Policies [J]. Chinese Journal of Management Science, 2022, 30(1): 185-195.
[3]	LIN Gui-hua, FENG Wen-xiu, YANG Zhen-ping. Competitive Model for Multistage Green Closed-Loop Supply Chain with Recyclers [J]. Chinese Journal of Management Science, 2021, 29(6): 136-148.
[4]	WANG Dao-ping, ZHAO Chao, CHENG Yan-ping. Study on Supply Chain Network Equilibrium Considering Quality Control by Retailer and Risk-aversion [J]. Chinese Journal of Management Science, 2019, 27(6): 76-87.
[5]	PENG Yong-tao, LUO Jian-qiang, LI Ya-ya. A Product Service Supply Chain Network Equilibrium Model with Service Flow [J]. Chinese Journal of Management Science, 2019, 27(11): 116-126.
[6]	ZHANG Gui-tao, HU Jin-song, SUN Hao, Mazalov, XU Meng-die. Multi-period Supply Chain Network Equilibrium with Loss-averse Retailer and Multi-products Flow [J]. Chinese Journal of Management Science, 2015, 23(6): 73-82.
[7]	SUN Hao, ZHANG Gui-tao, ZHONG Yong-guang, DA Qing-li. The Equilibrium of Multi-period Closed-loop Supply Chain Network with Manufacturer-collection Channel under Government Subsidies [J]. Chinese Journal of Management Science, 2015, 23(1): 56-64.
[8]	WANG Ke-xi, YUAN Ji-jun, HUANG Min-mei, CHEN Wei-min. Multi-Objective Intelligent Optimization Design Method for Multi-Platform Based Scaled-Based Product Family [J]. Chinese Journal of Management Science, 2011, 19(4): 111-119.
[9]	SHAO Xiao-Feng, JI Jian-Hua. Research on Coordination of Pricing and Inventory Strategies in Mass Customization [J]. Chinese Journal of Management Science, 2009, 17(6): 109-115.
[10]	CHENG You-ming, GONG Ben-gang. The Mobility and Evaluation for the Product of Manufacturing Industry [J]. Chinese Journal of Management Science, 2005, (6): 34-38.
[11]	YAO Jian-ming, PU Yun, ZHANG Xiu-min. Optimization of Supply Chain Scheduling in Mass Customization Based on Preference Decision [J]. Chinese Journal of Management Science, 2005, (5): 54-60.
[12]	CHEN Jun, HUANG Wei. Modeling the Roles of Product Platforms in the Production Systems for Mass Customization [J]. Chinese Journal of Management Science, 2003, (4): 20-26.
[13]	LIANG Liang, ZHOU Jun. The Optimization of Customized Level Based on Mass Customization [J]. Chinese Journal of Management Science, 2002, (6): 59-65.