In this paper we analyze the optimal joint decisions of when, how and howmuch to replenish customers with products of varying ages. We discuss the main features of the problem arising in the joint replenishment and delivery of perishable products, and we model them under general assumptions. We then solve the problem by means of an exact branch-and-cut algorithm, and we test its performance on ...

The article suggests a model for defining rational range and volume of supply perishable goods in their chains functioning at the time random demand. In verbal formulation, goal is to determine delivery volumes that maximize profits with restrictions on funds available purchase, storage weight, as well lost profits. formalized representation determined by properties supplied goods. If these are...

This paper studies a perishable inventory model, which assumes that each perishable item has finite lifetime, and only one item is consumed each time. The lifetimes of perishable items are independent random variables with the general distribution and so are the consumption internal. Under this assumption, by using backward equations and limit distribution of Markov skeleton processes, this pap...

A set of agricultural suppliers with low demands can save on long-haul transportation costs by consolidating their product. We consider a system with stochastic demand and a single consolidation point near the suppliers. We propose a look-ahead heuristic that takes advantage of economies of scale by aiming to ship larger quantities. We experimentally compare the heuristic's performance against ...

We analyze the life cycle consumption choice model for multiple goods, focusing on the distinction between durables and perishables. As an approximation of the fact that rather high transaction costs and market imperfections prevail inmarkets for used durables, we assume that investment in durables is irreversible. In contrast to the additive model with one perishable good, the optimal consumpt...

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.

Abstract Assume that customers are price sensitive, changes in the price of perishable products will bring changes in demand, and business can adjust the perishable products' price to influence the market demand, a perishable products multi-stage pricing model considering cancelations and no-shows is proposed, and the optimal pricing, the optimal expected revenue with the products' initial quan...