Sustainable production strategies for deteriorating and imperfect quality items with an investment in preservation technology
Author:
Funder
University of Delhi
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-021-01144-5.pdf
Reference39 articles.
1. Bardhan S, Pal H, Giri BC (2019) Optimal replenishment policy and preservation technology investment for a non-instantaneous deteriorating item with stock-dependent demand. Oper Res Int J 19(2):347–368
2. Ben-Daya M, Hariga M (2000) Economic lot scheduling problem with imperfect production processes. J Oper Res Soc 51(7):875–881
3. Bhattacharyya M, Sana SS (2019) A mathematical model on eco-friendly manufacturing system under probabilistic demand. RAIRO Oper Res 53(5):1899–1913
4. Daryanto Y, Wee HM (2018) Sustainable economic production quantity models: an approach toward a cleaner production. J Adv Manag Sci 6(4):206–212
5. Daryanto Y, Wee HM (2019) Low carbon economic production quantity model for imperfect quality deteriorating items. Int J Ind Eng Eng Manag 1(1):1–8
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