پیش‌بینی کیفیت فرآیندهای تولیدی با بُعد بالا به‌کمک رگرسیون تنسوری

• EPA, “Fast facts: U.S. transportation sector GHG emissions 1990-2019,” 2021.
• Group, “Who’s buying direct and why: consumers tell all,” 2004.
• Xiao, Z. H. Hu, K. X. Wang, and P. H. Fu, “Spatial distribution of energy consumption and carbon emission of regional logistics,” Sustain., vol. 7, no. 7, pp. 9140–9159, 2015.
• Barzinpour and P. Taki, “A dual-channel network design model in a green supply chain considering pricing and transportation mode choice,” J. Intell. Manuf., vol. 29, no. 7, pp. 1465–1483, Oct. 2018.
• Xiao, T. M. Choi, and T. C. E. Cheng, “Product variety and channel structure strategy for a retailer-Stackelberg supply chain,” Eur. J. Oper. Res., vol. 233, no. 1, pp. 114–124, Feb. 2014.
• S. Pishvaee and J. Razmi, “Environmental supply chain network design using multi-objective fuzzy mathematical programming,” Appl. Math. Model., vol. 36, no. 8, pp. 3433–3446, Aug. 2012.
• Ramezani, M. Bashiri, and R. Tavakkoli-Moghaddam, “A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level,” Appl. Math. Model., vol. 37, no. 1–2, pp. 328–344, Jan. 2013.
• بشیری، مهدی و شرافتی، مهتاب، "طراحی دوهدفه شبکه زنجیره‌تأمین حلقه بسته با درنظر گرفتن معیارهای همبسته در محیط فازی." نشریه پژوهش‌های مهندسی صنایع در سیستم‌های تولید،

سال اول، شماره اول: 25-36، 1392. 

• قهرمانی‌نهر، جاوید، قدرت‌نما، علی، ایزدبخش، حمیدرضا، توکلی مقدم، رضا، " طراحی یک شبکه زنجیره‌تأمین سبز چندهدفه چند محصولی و چند دورهای با درنظر گرفتن تخفیف در شرایط عدم قطعیت." نشریه پژوهش‌های مهندسی صنایع در سیستم‌های تولید، سال ششم، شماره سیزدهم: 119-137، 1397.
• M. J. Mirzapour Al-E-Hashem, A. Baboli, and Z. Sazvar, “A stochastic aggregate production planning model in a green supply chain: Considering flexible lead times, nonlinear purchase and shortage cost functions,” Eur. J. Oper. Res., vol. 230, no. 1, pp. 26–41, Oct. 2013.
• Sazvar, S. M. J. Mirzapour Al-E-Hashem, A. Baboli, and M. R. Akbari Jokar, “A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products,” Int. J. Prod. Econ., vol. 150, pp. 140–154, Apr. 2014.
• C. Tsao, E. Nugraha Ridhwan Amir, V. Van Thanh, and M. Dachyar, “Designing an eco-efficient supply chain network considering carbon trade and trade-credit: A robust fuzzy optimization approach,” Comput. Ind. Eng., vol. 160, p. 107595, Oct. 2021.
• Wang and Q. Wan, “A multi-period multi-product green supply network design problem with price and greenness dependent demands under uncertainty,” Appl. Soft Comput., vol. 114, p. 108078, Jan. 2022.
• Roy, S. S. Sana, and K. Chaudhuri, “Joint decision on EOQ and pricing strategy of a dual channel of mixed retail and e-tail comprising of single manufacturer and retailer under stochastic demand,” Comput. Ind. Eng., vol. 102, pp. 423–434, Dec. 2016.
• Xu, Z. Z. Liu, and S. H. Zhang, “A strategic analysis of dual-channel supply chain design with price and delivery lead time considerations,” Int. J. Prod. Econ., vol. 139, no. 2, pp. 654–663, Oct. 2012.
• Ding, C. Dong, and Z. Pan, “A hierarchical pricing decision process on a dual-channel problem with one manufacturer and one retailer,” Int. J. Prod. Econ., vol. 175, pp. 197–212, May 2016.
• S. Gan, I. N. Pujawan, Suparno, and B. Widodo, “Pricing decision for new and remanufactured product in a closed-loop supply chain with separate sales-channel,” Int. J. Prod. Econ., vol. 190, pp. 120–132, Aug. 2017.
• B. Jamali and M. Rasti-Barzoki, “A game theoretic approach for green and non-green product pricing in chain-to-chain competitive sustainable and regular dual-channel supply chains,” J. Clean. Prod., vol. 170, pp. 1029–1043, Jan. 2018.
• M. Modak and P. Kelle, “Managing a dual-channel supply chain under price and delivery-time dependent stochastic demand,” Eur. J. Oper. Res., vol. 272, no. 1, pp. 147–161, Jan. 2019.
• Zhang and K. Yang, “Multi-Objective Optimization for Green Dual-Channel Supply Chain Network Design Considering Transportation Mode Selection,” Supply Chain Logist. Manag., pp. 382–404, Oct. 2019.
• Vafaei, S. Yaghoubi, J. Tajik, and F. Barzinpour, “Designing a sustainable multi-channel supply chain distribution network: A case study,” J. Clean. Prod., vol. 251, p. 119628, Apr. 2020.
• Lu and N. Liu, “Pricing games of mixed conventional and e-commerce distribution channels,” Comput. Ind. Eng., vol. 64, no. 1, pp. 122–132, Jan. 2013.
• Liu, R. Zhang, and M. Xiao, “Joint decision on production and pricing for online dual channel supply chain system,” Appl. Math. Model., vol. 34, no. 12, pp. 4208–4218, Dec. 2010.
• Dan, G. Xu, and C. Liu,”Pricing policies in a dual-channel supply chain with retail services”, International Journal of Production Economics, 139(1),pp. 312–320. doi: 10.1016/J.IJPE.2012.05.014. 2012.
• S. Pishvaee and S. A. Torabi, “A possibilistic programming approach for closed-loop supply chain network design under uncertainty,” Fuzzy Sets Syst., vol. 161, no. 20, pp. 2668–2683, Oct. 2010.
• Jiménez, M. Arenas, A. Bilbao, and M. V. Rodríguez, “Linear programming with fuzzy parameters: An interactive method resolution,” Eur. J. Oper. Res., vol. 177, no. 3, pp. 1599–1609, Mar. 2007.
• A. Parra, A. B. Terol, B. P. Gladish, and M. V. R. Uría, “Solving a multiobjective possibilistic problem through compromise programming,” Eur. J. Oper. Res., vol. 164, no. 3, pp. 748–759, Aug. 2005.
• A. Torabi and E. Hassini, “An interactive possibilistic programming approach for multiple objective supply chain master planning,” Fuzzy Sets Syst., vol. 159, no. 2, pp. 193–214, Jan. 2008.

A. lireza Fallah-Tafti, R. Sahraeian, R. Tavakkoli-Moghaddam, and M. Moeinipour, “An interactive possibilistic programming approach for a multi-objective closed-loop supply chain network under uncertainty,”http://dx.doi.org/10.1080/00207721.2012.720296, vol. 45, no. 3, pp. 283–299, Mar. 2013.