American Institute of Mathematical Sciences

Advanced
April  2015, 11(2): 515-528. doi: 10.3934/jimo.2015.11.515

Optimal selection of cleaner products in a green supply chain with risk aversion

Gang Xie 1, , Wuyi Yue 2, and  Shouyang Wang 3,

1. 

Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
2. 

Department of Intelligence and Informatics, Konan University, 8-9-1 Okamoto, Kobe 658-8501
3. 

Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190

Received  February 2013 Revised  April 2014 Published  September 2014

In this paper, we investigate the selection of cleaner products with the consideration of the tradeoff between risk and the return of players in two different of supply chain structures: a vertically integrated structure and a decentralized setting. In an integrated supply chain, the price of cleaner products is decided according to the maximum utility for the whole supply chain, while the retailer offers their price with respect to their own maximum utility in a decentralized setting. A numerical example of a green supply chain of household electrical appliances in China is presented to illustrate related issues. Finally, conclusions are drawn and some topics for future work are suggested.
Keywords: cleaner product, Green supply chain, risk aversion, portfolio selection..
Mathematics Subject Classification: Primary: 90B30, 90C08; Secondary: 91B3.
Citation: Gang Xie, Wuyi Yue, Shouyang Wang. Optimal selection of cleaner products in a green supply chain with risk aversion. Journal of Industrial & Management Optimization, 2015, 11 (2) : 515-528. doi: 10.3934/jimo.2015.11.515
References:
[1]

, Caution to risk in new energy automobile industry due to the uncertainty of support policy (in Chinese),, 2010. Available from: , ().   Google Scholar

[2]

, Qingdao Haier: Investment in technological improvement project for 3 million energy conservative refrigerators by a subsidiary company,, 2010 (in Chinese). Available from: , ().   Google Scholar

[3]

J. M. Bloemhof-Ruwaard, L. N. Van Wassenhove, H. L. Gabel and P. M. Weaver, An environmental life cycle optimization model for the European pulp and paper industry, Omega, 24 (1996), 615-629. doi: 10.1016/S0305-0483(96)00026-6.  Google Scholar

[4]

C. Chen, Design for the environment: A quality-based model for green product development, Manag. Sci., 47 (2001), 250-263. doi: 10.1287/mnsc.47.2.250.9841.  Google Scholar

[5]

N. Chen, Credit risk is upraising in energy conservation and environment protection industry, Chinese Securities Journal,, 2011 (in Chinese). Available from: , ().   Google Scholar

[6]

G. Dowell, S. Hart and B. Yeung, Do corporate global environmental standards create or destroy market value? Manag. Sci., 46 (2000), 1059-1074. doi: 10.1287/mnsc.46.8.1059.12030.  Google Scholar

[7]

B. Fischhoff, Acceptable Risk, Cambridge University Press, 1981. Google Scholar

[8]

F. Friedler, Process integration, modelling and optimisation for energy saving and pollution reduction, Appl. Therm. Eng., 30 (2010), 2270-2280. doi: 10.1016/j.applthermaleng.2010.04.030.  Google Scholar

[9]

O. J. Hanssen, Sustainable product systems-experiences based on case projects in sustainable product development, J. Clean. Prod., 7 (1999), 27-41. doi: 10.1016/S0959-6526(98)00032-8.  Google Scholar

[10]

N. Harmancioglu, Portfolio of controls in outsourcing relationships for global new product development, Ind. Mark. Manag., 38 (2009), 394-403. doi: 10.1016/j.indmarman.2009.04.001.  Google Scholar

[11]

T. H. Ho and C. S. Tang, Product Variety Management: Research Advances, Boston/Dordrecht/London: Kluwer Academic Publishers, 1998. Google Scholar

[12]

C. A. Holloway, Decision Making Under Uncertainty: Models and Choices, Prentice-Hall, Englewood Cliffs, NJ, 1979. Google Scholar

[13]

R. A. Howard, Decision analysis: Practice and promise, Manag. Sci., 34 (1988), 679-695. doi: 10.1287/mnsc.34.6.679.  Google Scholar

[14]

M. S. Jørgensen, et al., Green technology foresight about environmentally friendly products and materials: The challenges from nanotechnology, biotechnology and ICT, Danish Ministry of the Environment, Environmental Protection Agency, Working Report, 34 (2006). Google Scholar

[15]

E. Kikuchi, Y. Kikuchi and M. Hirao, Analysis of risk trade-off relationships between organic solvents and aqueous agents: case study of metal cleaning processes, J. Clean. Prod., 19 (2011), 414-423. doi: 10.1016/j.jclepro.2010.05.021.  Google Scholar

[16]

Y. H. Kwak and K. S. LaPlace, Examining risk tolerance in project-driven organization, Technovation, 25 (2005), 691-695. doi: 10.1016/j.technovation.2003.09.003.  Google Scholar

[17]

M. D. Levi and B. R. Nault, Converting technology to mitigate environmental damage, Manag. Sci., 50 (2004), 1015-1030. doi: 10.1287/mnsc.1040.0238.  Google Scholar

[18]

B. Mansoornejad, V. Chambost and P. Stuart, Integrating product portfolio design and supply chain design for the forest biorefinery, Comput. Chem. Eng., 34 (2010), 1497-1506. doi: 10.1016/j.compchemeng.2010.02.004.  Google Scholar

[19]

H. M. Markowitz, Portfolio selection, J. Financ., 7 (1952), 77-91. Google Scholar

[20]

H. M. Markowitz, The optimization of a quadratic function subject to linear constraints, Nav. Res. Logist. Q., 3 (1956), 111-133. doi: 10.1002/nav.3800030110.  Google Scholar

[21]

D. Maxwell and R. van der Vorst, Developing sustainable products and services, J. Clean. Prod., 11 (2003), 883-895. doi: 10.1016/S0959-6526(02)00164-6.  Google Scholar

[22]

S. K. Moorthy, Product and price competition in a duopoly, Mark. Sci., 7 (1988), 141-168. doi: 10.1287/mksc.7.2.141.  Google Scholar

[23]

U. Nissen, A methodology for the development of cleaner products: The ideal-eco-product approach, J. Clean. Prod., 3 (1995), 83-87. Google Scholar

[24]

E. U. Olugu, K. Y. Wong and A. M. Shaharoun, Development of key performance measures for the automobile green supply chain, Resour. Conserv. Recycl., 55 (2011), 567-579. doi: 10.1016/j.resconrec.2010.06.003.  Google Scholar

[25]

H. Raiffa, Decision analysis: Introductory lectures on choices under uncertainty, Journal of the Royal Statistical Society, Series D (The Statistician), 19 (1969), 180-181. doi: 10.2307/2987280.  Google Scholar

[26]

J. Sarkis, A strategic decision framework for green supply chain management, J. Clean. Prod., 11 (2003), 397-409. doi: 10.1016/S0959-6526(02)00062-8.  Google Scholar

[27]

K. Shang, C. Lu and S. Li, A taxonomy of green supply chain management capability among electronics-related manufacturing firms in Taiwan, J. Environ. Manag., 91 (2010), 1218-1226. doi: 10.1016/j.jenvman.2010.01.016.  Google Scholar

[28]

A. Tversky and D. Kahneman, Judgment under uncertainty: Heuristics and biases, Sci., 185 (1974), 1124-1131. Google Scholar

[29]

F. Wirl, Energy conservation, expectations and uncertainty, Energy Econ., 30 (2008), 1957-1972. doi: 10.1016/j.eneco.2007.12.001.  Google Scholar

[30]

G. Xie, Modeling Decision Processes of a Green Supply Chain with Regulation on Energy Saving Level,, Comput. Oper. Res., ().  doi: 10.1016/j.cor.2013.11.020.  Google Scholar

[31]

G. Xie, S. Wang and K. K. Lai, Quality improvement in competing supply chains, Int. J. Prod. Econ., 134 (2011), 262-270. doi: 10.1016/j.ijpe.2011.07.007.  Google Scholar

[32]

G. Xie, S. Wang and K. K. Lai, Optimal $\beta_k$-stable interval in VPRS-based group decision-making: A further application, Expert Syst. Appl., 38 (2011), 13757-13763. Google Scholar

[33]

G. Xie, S. Wang, Y. Zhao and K. K. Lai, Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study, Appl. Soft Comput., 13 (2013), 2232-2241. doi: 10.1016/j.asoc.2013.02.002.  Google Scholar

[34]

G. Xie, W. Yue, W. Liu and S. Wang, Risk based selection of cleaner products in a green supply chain, Pac. J. Optim., 8 (2012), 473-484.  Google Scholar

[35]

G. Xie, W. Yue, S. Wang and K. K. Lai, Quality investment and price decision in a risk-averse supply chain, Eur. J. Oper. Res., 214 (2011), 403-410. doi: 10.1016/j.ejor.2011.04.036.  Google Scholar

[36]

G. Xie, W. Yue, S. Wang and K. K. Lai, Dynamic risk management in petroleum project investment based on a variable precision rough set model, Technol. Forecast. Soc. Chang., 77 (2010), 891-901. doi: 10.1016/j.techfore.2010.01.013.  Google Scholar

[37]

G. Xie, J. Zhang, K. K. Lai and L. Yu, Variable precision rough set for group decision-making: An application, Int. J. Approx. Reason., 49 (2008), 331-343. doi: 10.1016/j.ijar.2007.04.005.  Google Scholar

[38]

G. Xie, Y. Zhao, M. Jiang and N. Zhang, A novel ensemble learning approach for corporate financial distress forecasting in fashion and textiles supply chains, Math. Probl. Eng., (2013), Article ID 493931, 9pp. doi: 10.1155/2013/493931.  Google Scholar

[39]

Q. Zhu, J. Sarkis, J. J. Cordeiro and K. Lai, Firm-level correlates of emergent green supply chain management practices in the Chinese context, Omega, 36 (2008), 577-591. doi: 10.1016/j.omega.2006.11.009.  Google Scholar

show all references

References:
[1]

, Caution to risk in new energy automobile industry due to the uncertainty of support policy (in Chinese),, 2010. Available from: , ().   Google Scholar

[2]

, Qingdao Haier: Investment in technological improvement project for 3 million energy conservative refrigerators by a subsidiary company,, 2010 (in Chinese). Available from: , ().   Google Scholar

[3]

J. M. Bloemhof-Ruwaard, L. N. Van Wassenhove, H. L. Gabel and P. M. Weaver, An environmental life cycle optimization model for the European pulp and paper industry, Omega, 24 (1996), 615-629. doi: 10.1016/S0305-0483(96)00026-6.  Google Scholar

[4]

C. Chen, Design for the environment: A quality-based model for green product development, Manag. Sci., 47 (2001), 250-263. doi: 10.1287/mnsc.47.2.250.9841.  Google Scholar

[5]

N. Chen, Credit risk is upraising in energy conservation and environment protection industry, Chinese Securities Journal,, 2011 (in Chinese). Available from: , ().   Google Scholar

[6]

G. Dowell, S. Hart and B. Yeung, Do corporate global environmental standards create or destroy market value? Manag. Sci., 46 (2000), 1059-1074. doi: 10.1287/mnsc.46.8.1059.12030.  Google Scholar

[7]

B. Fischhoff, Acceptable Risk, Cambridge University Press, 1981. Google Scholar

[8]

F. Friedler, Process integration, modelling and optimisation for energy saving and pollution reduction, Appl. Therm. Eng., 30 (2010), 2270-2280. doi: 10.1016/j.applthermaleng.2010.04.030.  Google Scholar

[9]

O. J. Hanssen, Sustainable product systems-experiences based on case projects in sustainable product development, J. Clean. Prod., 7 (1999), 27-41. doi: 10.1016/S0959-6526(98)00032-8.  Google Scholar

[10]

N. Harmancioglu, Portfolio of controls in outsourcing relationships for global new product development, Ind. Mark. Manag., 38 (2009), 394-403. doi: 10.1016/j.indmarman.2009.04.001.  Google Scholar

[11]

T. H. Ho and C. S. Tang, Product Variety Management: Research Advances, Boston/Dordrecht/London: Kluwer Academic Publishers, 1998. Google Scholar

[12]

C. A. Holloway, Decision Making Under Uncertainty: Models and Choices, Prentice-Hall, Englewood Cliffs, NJ, 1979. Google Scholar

[13]

R. A. Howard, Decision analysis: Practice and promise, Manag. Sci., 34 (1988), 679-695. doi: 10.1287/mnsc.34.6.679.  Google Scholar

[14]

M. S. Jørgensen, et al., Green technology foresight about environmentally friendly products and materials: The challenges from nanotechnology, biotechnology and ICT, Danish Ministry of the Environment, Environmental Protection Agency, Working Report, 34 (2006). Google Scholar

[15]

E. Kikuchi, Y. Kikuchi and M. Hirao, Analysis of risk trade-off relationships between organic solvents and aqueous agents: case study of metal cleaning processes, J. Clean. Prod., 19 (2011), 414-423. doi: 10.1016/j.jclepro.2010.05.021.  Google Scholar

[16]

Y. H. Kwak and K. S. LaPlace, Examining risk tolerance in project-driven organization, Technovation, 25 (2005), 691-695. doi: 10.1016/j.technovation.2003.09.003.  Google Scholar

[17]

M. D. Levi and B. R. Nault, Converting technology to mitigate environmental damage, Manag. Sci., 50 (2004), 1015-1030. doi: 10.1287/mnsc.1040.0238.  Google Scholar

[18]

B. Mansoornejad, V. Chambost and P. Stuart, Integrating product portfolio design and supply chain design for the forest biorefinery, Comput. Chem. Eng., 34 (2010), 1497-1506. doi: 10.1016/j.compchemeng.2010.02.004.  Google Scholar

[19]

H. M. Markowitz, Portfolio selection, J. Financ., 7 (1952), 77-91. Google Scholar

[20]

H. M. Markowitz, The optimization of a quadratic function subject to linear constraints, Nav. Res. Logist. Q., 3 (1956), 111-133. doi: 10.1002/nav.3800030110.  Google Scholar

[21]

D. Maxwell and R. van der Vorst, Developing sustainable products and services, J. Clean. Prod., 11 (2003), 883-895. doi: 10.1016/S0959-6526(02)00164-6.  Google Scholar

[22]

S. K. Moorthy, Product and price competition in a duopoly, Mark. Sci., 7 (1988), 141-168. doi: 10.1287/mksc.7.2.141.  Google Scholar

[23]

U. Nissen, A methodology for the development of cleaner products: The ideal-eco-product approach, J. Clean. Prod., 3 (1995), 83-87. Google Scholar

[24]

E. U. Olugu, K. Y. Wong and A. M. Shaharoun, Development of key performance measures for the automobile green supply chain, Resour. Conserv. Recycl., 55 (2011), 567-579. doi: 10.1016/j.resconrec.2010.06.003.  Google Scholar

[25]

H. Raiffa, Decision analysis: Introductory lectures on choices under uncertainty, Journal of the Royal Statistical Society, Series D (The Statistician), 19 (1969), 180-181. doi: 10.2307/2987280.  Google Scholar

[26]

J. Sarkis, A strategic decision framework for green supply chain management, J. Clean. Prod., 11 (2003), 397-409. doi: 10.1016/S0959-6526(02)00062-8.  Google Scholar

[27]

K. Shang, C. Lu and S. Li, A taxonomy of green supply chain management capability among electronics-related manufacturing firms in Taiwan, J. Environ. Manag., 91 (2010), 1218-1226. doi: 10.1016/j.jenvman.2010.01.016.  Google Scholar

[28]

A. Tversky and D. Kahneman, Judgment under uncertainty: Heuristics and biases, Sci., 185 (1974), 1124-1131. Google Scholar

[29]

F. Wirl, Energy conservation, expectations and uncertainty, Energy Econ., 30 (2008), 1957-1972. doi: 10.1016/j.eneco.2007.12.001.  Google Scholar

[30]

G. Xie, Modeling Decision Processes of a Green Supply Chain with Regulation on Energy Saving Level,, Comput. Oper. Res., ().  doi: 10.1016/j.cor.2013.11.020.  Google Scholar

[31]

G. Xie, S. Wang and K. K. Lai, Quality improvement in competing supply chains, Int. J. Prod. Econ., 134 (2011), 262-270. doi: 10.1016/j.ijpe.2011.07.007.  Google Scholar

[32]

G. Xie, S. Wang and K. K. Lai, Optimal $\beta_k$-stable interval in VPRS-based group decision-making: A further application, Expert Syst. Appl., 38 (2011), 13757-13763. Google Scholar

[33]

G. Xie, S. Wang, Y. Zhao and K. K. Lai, Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study, Appl. Soft Comput., 13 (2013), 2232-2241. doi: 10.1016/j.asoc.2013.02.002.  Google Scholar

[34]

G. Xie, W. Yue, W. Liu and S. Wang, Risk based selection of cleaner products in a green supply chain, Pac. J. Optim., 8 (2012), 473-484.  Google Scholar

[35]

G. Xie, W. Yue, S. Wang and K. K. Lai, Quality investment and price decision in a risk-averse supply chain, Eur. J. Oper. Res., 214 (2011), 403-410. doi: 10.1016/j.ejor.2011.04.036.  Google Scholar

[36]

G. Xie, W. Yue, S. Wang and K. K. Lai, Dynamic risk management in petroleum project investment based on a variable precision rough set model, Technol. Forecast. Soc. Chang., 77 (2010), 891-901. doi: 10.1016/j.techfore.2010.01.013.  Google Scholar

[37]

G. Xie, J. Zhang, K. K. Lai and L. Yu, Variable precision rough set for group decision-making: An application, Int. J. Approx. Reason., 49 (2008), 331-343. doi: 10.1016/j.ijar.2007.04.005.  Google Scholar

[38]

G. Xie, Y. Zhao, M. Jiang and N. Zhang, A novel ensemble learning approach for corporate financial distress forecasting in fashion and textiles supply chains, Math. Probl. Eng., (2013), Article ID 493931, 9pp. doi: 10.1155/2013/493931.  Google Scholar

[39]

Q. Zhu, J. Sarkis, J. J. Cordeiro and K. Lai, Firm-level correlates of emergent green supply chain management practices in the Chinese context, Omega, 36 (2008), 577-591. doi: 10.1016/j.omega.2006.11.009.  Google Scholar

[1]

Kai Kang, Taotao Lu, Jing Zhang. Financing strategy selection and coordination considering risk aversion in a capital-constrained supply chain. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021042
[2]

Qingguo Bai, Fanwen Meng. Impact of risk aversion on two-echelon supply chain systems with carbon emission reduction constraints. Journal of Industrial & Management Optimization, 2020, 16 (4) : 1943-1965. doi: 10.3934/jimo.2019037
[3]

Chirantan Mondal, Bibhas C. Giri. Investigating a green supply chain with product recycling under retailer's fairness behavior. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021129
[4]

Li Xue, Hao Di. Uncertain portfolio selection with mental accounts and background risk. Journal of Industrial & Management Optimization, 2019, 15 (4) : 1809-1830. doi: 10.3934/jimo.2018124
[5]

Shuang Li, Chuong Luong, Francisca Angkola, Yonghong Wu. Optimal asset portfolio with stochastic volatility under the mean-variance utility with state-dependent risk aversion. Journal of Industrial & Management Optimization, 2016, 12 (4) : 1521-1533. doi: 10.3934/jimo.2016.12.1521
[6]

Min Li, Jiahua Zhang, Yifan Xu, Wei Wang. Effects of disruption risk on a supply chain with a risk-averse retailer. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021024
[7]

Ashkan Mohsenzadeh Ledari, Alireza Arshadi Khamseh, Mohammad Mohammadi. A three echelon revenue oriented green supply chain network design. Numerical Algebra, Control & Optimization, 2018, 8 (2) : 157-168. doi: 10.3934/naco.2018009
[8]

Yan Zhou, Chi Kin Chan, Kar Hung Wong. The impacts of retailers' regret aversion on a random multi-period supply chain network. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021086
[9]

Weihua Liu, Xinran Shen, Di Wang, Jingkun Wang. Order allocation model in logistics service supply chain with demand updating and inequity aversion: A perspective of two option contracts comparison. Journal of Industrial & Management Optimization, 2021, 17 (6) : 3269-3295. doi: 10.3934/jimo.2020118
[10]

Xiaohui Ren, Daofang Chang, Jin Shen. Optimization of the product service supply chain under the influence of presale services. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021130
[11]

Fei Cheng, Shanlin Yang, Ram Akella, Xiaoting Tang. An integrated approach for selection of service vendors in service supply chain. Journal of Industrial & Management Optimization, 2011, 7 (4) : 907-925. doi: 10.3934/jimo.2011.7.907
[12]

Min Li, Jiahua Zhang, Yifan Xu, Wei Wang. Effect of disruption risk on a supply chain with price-dependent demand. Journal of Industrial & Management Optimization, 2020, 16 (6) : 3083-3103. doi: 10.3934/jimo.2019095
[13]

Sanjoy Kumar Paul, Ruhul Sarker, Daryl Essam. Managing risk and disruption in production-inventory and supply chain systems: A review. Journal of Industrial & Management Optimization, 2016, 12 (3) : 1009-1029. doi: 10.3934/jimo.2016.12.1009
[14]

Linyi Qian, Wei Wang, Rongming Wang. Risk-minimizing portfolio selection for insurance payment processes under a Markov-modulated model. Journal of Industrial & Management Optimization, 2013, 9 (2) : 411-429. doi: 10.3934/jimo.2013.9.411
[15]

Yahia Zare Mehrjerdi. A novel methodology for portfolio selection in fuzzy multi criteria environment using risk-benefit analysis and fractional stochastic. Numerical Algebra, Control & Optimization, 2021  doi: 10.3934/naco.2021019
[16]

Haixiang Yao, Ping Chen, Miao Zhang, Xun Li. Dynamic discrete-time portfolio selection for defined contribution pension funds with inflation risk. Journal of Industrial & Management Optimization, 2022, 18 (1) : 511-540. doi: 10.3934/jimo.2020166
[17]

Jian Liu, Xin Wu, Jiang-Ling Lei. The combined impacts of consumer green preference and fairness concern on the decision of three-party supply chain. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021090
[18]

Arman Hamedirostami, Alireza Goli, Yousef Gholipour-Kanani. Green cross-dock based supply chain network design under demand uncertainty using new metaheuristic algorithms. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021105
[19]

Maedeh Agahgolnezhad Gerdrodbari, Fatemeh Harsej, Mahboubeh Sadeghpour, Mohammad Molani Aghdam. A robust multi-objective model for managing the distribution of perishable products within a green closed-loop supply chain. Journal of Industrial & Management Optimization, 2021  doi: 10.3934/jimo.2021107
[20]

Bin Dan, Huali Gao, Yang Zhang, Ru Liu, Songxuan Ma. Integrated order acceptance and scheduling decision making in product service supply chain with hard time windows constraints. Journal of Industrial & Management Optimization, 2018, 14 (1) : 165-182. doi: 10.3934/jimo.2017041

2020 Impact Factor: 1.801

Tools

Metrics

  • PDF downloads (192)
  • HTML views (0)
  • Cited by (9)

Other articles
by authors

[Back to Top]

Copyright © 2022 American Institute of Mathematical Sciences | Privacy Policy