The present work deals with the supply chain problems related to perishable products. The EOQ model has been used to analyze the data collected and suggest a ordering policy that will minimize the loses and maximize the organizational value. The work provides a suggestion for managers to take decision regarding use of self space and reordering of items depending on the inventory usage.

This article reviews the literatures of revenue management and introduces the status of traditional research about perishable products in this field. We analyze revenue management considering strategic customer behavior and the related researches about dynamic pricing, finally we discuss the existing problems and suggest several future research directions.

We formulate the multiperiod, distribution-free perishable inventory problem as a problem of prediction with expert advice and apply an online learning method (the Weak Aggregating Algorithm) to solve it. We show that the asymptotic average performance of this method is as good as that of any time-dependent stocking rule in a given parametric class.

We show that the monotone structures of dynamic pricing for a single perishable product under riskneutrality are preserved under risk-sensitivitywith the additive general utility and atemporal exponential utility functions. We also show that the optimal price is decreasing over the degree of risk-sensitivity under the exponential class of both additive and atemporal utility functions. © 2009 El...

Department of Oral Pathology & Microbiology, Kothiwal Dental College and Research Center, Mora Mustaqueem, Kanth Road, Moradabad, U.P.-244001, India Objective: The study was conducted to overcome specific limitations of formalin-preserved specimens at negligible cost. Materials and Methods: The study was conducted on museum specimens collected from the Department of General Anatomy, Kothiwal De...

A telephonic survey was conducted during May 2020 among 675 farmers across 28 districts of 11 states India to assess farm constraints and income losses lockdown 1.0 2.0. The results indicate that labour availability input accessibility were hurdles, but manageable some extent. However, marketing inflicted 48 19% in total expected perishable non-perishable commodities average loss per household ...