A Sustainable Green Inventory System with Novel Eco-Friendly Demand Incorporating Partial Backlogging under Fuzziness
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- Li, Guiping & He, Xiuli & Zhou, Jing & Wu, Hao, 2019. "Pricing, replenishment and preservation technology investment decisions for non-instantaneous deteriorating items," Omega, Elsevier, vol. 84(C), pages 114-126.
- Ateka Banu & Shyamal Kumar Mondal, 2020. "Analyzing an inventory model with two-level trade credit period including the effect of customers’ credit on the demand function using q-fuzzy number," Operational Research, Springer, vol. 20(3), pages 1559-1587, September.
- Chunming Xu & Xiaojie Liu & Chenchen Wu & Baiyun Yuan, 2020. "Optimal Inventory Control Strategies for Deteriorating Items with a General Time-Varying Demand under Carbon Emission Regulations," Energies, MDPI, vol. 13(4), pages 1-20, February.
- Alberto Cambini & Laura Martein, 2009. "Generalized Convexity and Optimization," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-70876-6, October.
- Rana Muhammad Zulqarnain & Xiao Long Xin & Imran Siddique & Waseem Asghar Khan & Mogtaba Ahmed Yousif, 2021. "TOPSIS Method Based on Correlation Coefficient under Pythagorean Fuzzy Soft Environment and Its Application towards Green Supply Chain Management," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
- Abu Hashan Md Mashud & Dipa Roy & Yosef Daryanto & Mohd Helmi Ali, 2020. "A Sustainable Inventory Model with Imperfect Products, Deterioration, and Controllable Emissions," Mathematics, MDPI, vol. 8(11), pages 1-21, November.
- Rad, M. A. & Khoshalhan, F. & Glock, C. H., 2018. "Optimal production and distribution policies for a two-stage supply chain with imperfect items and price- and advertisement-sensitive demand: A note," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84500, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Yang, Ya & Chi, Huihui & Tang, Ou & Zhou, Wei & Fan, Tijun, 2019. "Cross perishable effect on optimal inventory preservation control," European Journal of Operational Research, Elsevier, vol. 276(3), pages 998-1012.
- Pal, Shilpi & Mahapatra, G.S. & Samanta, G.P., 2014. "An EPQ model of ramp type demand with Weibull deterioration under inflation and finite horizon in crisp and fuzzy environment," International Journal of Production Economics, Elsevier, vol. 156(C), pages 159-166.
- Pal, Shilpi & Mahapatra, G.S. & Samanta, G.P., 2015. "A production inventory model for deteriorating item with ramp type demand allowing inflation and shortages under fuzziness," Economic Modelling, Elsevier, vol. 46(C), pages 334-345.
- Yu-Ren Chen & Chung-Yuan Dye, 2013. "Application of particle swarm optimisation for solving deteriorating inventory model with fluctuating demand and controllable deterioration rate," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(6), pages 1026-1039.
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- Sungyong Choi, 2023. "Special Issue on Advances in Operations and Supply Chain Management with Sustainability Considerations," Sustainability, MDPI, vol. 15(6), pages 1-4, March.
- Basim S. O. Alsaedi & Osama Abdulaziz Alamri & Mahesh Kumar Jayaswal & Mandeep Mittal, 2023. "A Sustainable Green Supply Chain Model with Carbon Emissions for Defective Items under Learning in a Fuzzy Environment," Mathematics, MDPI, vol. 11(2), pages 1-36, January.
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Keywords
sustainable inventory system; environmental emission reduction; deterioration; green technology; eco-friendly demand;All these keywords.
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