IDEAS home Printed from https://ideas.repec.org/r/inm/ormnsc/v56y2010i8p1380-1397.html
   My bibliography  Save this item

Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Sarkar, P. & Wahab, M.I.M. & Fang, L., 2023. "Weather rebate contracts for different risk attitudes of supply chain members," European Journal of Operational Research, Elsevier, vol. 311(1), pages 139-153.
  2. Jian Ni & Lap Keung Chu & Shoude Li, 2018. "Financial hedging and competitive strategy for value-maximizing firms under quantity competition," Annals of Operations Research, Springer, vol. 264(1), pages 391-407, May.
  3. Nasr, Walid W. & Maddah, Bacel, 2015. "Continuous (s, S) policy with MMPP correlated demand," European Journal of Operational Research, Elsevier, vol. 246(3), pages 874-885.
  4. Tsan-Ming Choi & Mingzheng Wang & Xiaohang Yue, 2016. "Emerging production optimization issues in supply chain systems," Annals of Operations Research, Springer, vol. 240(2), pages 381-393, May.
  5. Hongyong Fu & Bin Dan & Xiangkai Sun, 2014. "Joint Optimal Pricing and Ordering Decisions for Seasonal Products with Weather-Sensitive Demand," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-8, March.
  6. Cao, Hanrui & Chen, Zhixin & Zhou, Zhixiang & Wu, Jie, 2023. "Agency or wholesale? Strategic analysis of the influence of distribution strategy on product line design with endogenous quality," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 687-701.
  7. Bertrand, Jean-Louis & Brusset, Xavier & Fortin, Maxime, 2015. "Assessing and hedging the cost of unseasonal weather: Case of the apparel sector," European Journal of Operational Research, Elsevier, vol. 244(1), pages 261-276.
  8. Friberg, Richard & Huse, Cristian, 2012. "How to use demand systems to evaluate risky projects, with an application to automobile production," CEPR Discussion Papers 9266, C.E.P.R. Discussion Papers.
  9. Tian, Xin & Cao, Shasha & Song, Yan, 2021. "The impact of weather on consumer behavior and retail performance: Evidence from a convenience store chain in China," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
  10. Yong He & Xuan Zhao, 2016. "Contracts and coordination: Supply chains with uncertain demand and supply," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(4), pages 305-319, June.
  11. Walid W. Nasr, 2022. "Inventory systems with stochastic and batch demand: computational approaches," Annals of Operations Research, Springer, vol. 309(1), pages 163-187, February.
  12. Takuji Matsumoto & Yuji Yamada, 2023. "Improving the Efficiency of Hedge Trading Using Higher-Order Standardized Weather Derivatives for Wind Power," Energies, MDPI, vol. 16(7), pages 1-22, March.
  13. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
  14. Mizgier, Kamil J. & Wagner, Stephan M. & Jüttner, Matthias P., 2015. "Disentangling diversification in supply chain networks," International Journal of Production Economics, Elsevier, vol. 162(C), pages 115-124.
  15. Tsan-Ming Choi, 2016. "Multi-period risk minimization purchasing models for fashion products with interest rate, budget, and profit target considerations," Annals of Operations Research, Springer, vol. 237(1), pages 77-98, February.
  16. Martínez-de-Albéniz, Victor & Belkaid, Abdel, 2021. "Here comes the sun: Fashion goods retailing under weather fluctuations," European Journal of Operational Research, Elsevier, vol. 294(3), pages 820-830.
  17. Caliskan Demirag, Ozgun, 2013. "Performance of weather-conditional rebates under different risk preferences," Omega, Elsevier, vol. 41(6), pages 1053-1067.
  18. Fei Gao & Ozgun Caliskan Demirag & Frank Y. Chen, 2012. "Early Sales of Seasonal Products with Weather‐Conditional Rebates," Production and Operations Management, Production and Operations Management Society, vol. 21(4), pages 778-794, July.
  19. Xuedong Liang & Xianli Zhao & Min Wang & Zhi Li, 2018. "Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
  20. Haiyan Yi & Yangzhen Li, 2013. "Risk management of agricultural supply chain in China with weather compensatory contract," E3 Journal of Business Management and Economics., E3 Journals, vol. 4(7), pages 166-172.
  21. Badorf, Florian & Hoberg, Kai, 2020. "The impact of daily weather on retail sales: An empirical study in brick-and-mortar stores," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
  22. Elias, R.S. & Wahab, M.I.M. & Fang, L., 2014. "A comparison of regime-switching temperature modeling approaches for applications in weather derivatives," European Journal of Operational Research, Elsevier, vol. 232(3), pages 549-560.
  23. Tsan-Ming Choi, 2016. "Multi-period risk minimization purchasing models for fashion products with interest rate, budget, and profit target considerations," Annals of Operations Research, Springer, vol. 237(1), pages 77-98, February.
  24. Meng, Qingfeng & Li, Zhen & Liu, Huimin & Chen, Jingxian, 2017. "Agent-based simulation of competitive performance for supply chains based on combined contracts," International Journal of Production Economics, Elsevier, vol. 193(C), pages 663-676.
  25. Chun-Hung Chiu & Tsan-Ming Choi, 2016. "Supply chain risk analysis with mean-variance models: a technical review," Annals of Operations Research, Springer, vol. 240(2), pages 489-507, May.
  26. Vafadarnikjoo, Amin & Tavana, Madjid & Chalvatzis, Konstantinos & Botelho, Tiago, 2022. "A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
  27. Yuqiang Wu & Weiwei Guo & Zigong Cai & Yang Tong & Jingpeng Chen, 2023. "Research on Contract Coordination Mechanism of Contract Farming Considering the Green Innovation Level," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.