Benefit of preservation technology with promotion and time-dependent deterioration under fuzzy learning

作者：

Highlights：

• Impact of preservation for imprecise demand.

• Use of preservation against Time-dependent deterioration.

• Reduction in impreciseness through learning.

• Three improved algorithms are designed to solve the model.

摘要

•Impact of preservation for imprecise demand.•Use of preservation against Time-dependent deterioration.•Reduction in impreciseness through learning.•Three improved algorithms are designed to solve the model.

论文关键词：EOQ model,Time-dependent deterioration,Preservation cost,Promotional cost,Fuzzy learning

论文评审过程：Received 2 December 2020, Revised 7 November 2021, Accepted 31 March 2022, Available online 9 April 2022, Version of Record 26 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117169