Motivated by the widespread adoption of dynamic pricing in industry and the empirical evidence of costly price adjustments, in this paper we consider a periodic-review inventory model with price adjustment costs that consist of both fixed and variable components. In each period, demand is stochastic and price-dependent. The firm needs to coordinate the pricing and inventory replenishment decisi...

Background: An effective social learning process which enhances public understanding of photovoltaic installations in residential dwellings and the economic instruments used by governments to encourage investment in this form of energy is regarded as an important component of implementing renewable energy policy in Australia. Methods: The development of social learning was explored in deliberat...

Sellers of perishable goods increasingly use dynamic pricing strategies as technology makes it easier to change prices and track inventory. This paper tests how accurately theoretical models of dynamic pricing describe sellers’ pricing behavior in secondary markets for event tickets, which are a classic example of a perishable good. It shows that some of the simplest dynamic pricing models desc...

Sellers of perishable goods increasingly use dynamic pricing strategies as technology makes it easier to change prices and track inventory. This paper tests how accurately theoretical models of dynamic pricing describe sellers’ pricing behavior in secondary markets for event tickets, which are a classic example of a perishable good. It shows that some of the simplest dynamic pricing models desc...

Traditional inventory models focus on risk neutral decision makers, i.e., characterizing replenishment strategies that maximize expected total profit, or equivalently, minimize expected total cost over a planning horizon. In this paper, we propose a general framework for incorporating risk aversion in multi-period inventory models as well as multi-period models that coordinate inventory and pri...

Traditional inventory models focus on risk-neutral decision makers, i.e., characterizing replenishment strategies that maximize expected total profit, or equivalently, minimize expected total cost over a planning horizon. In this paper, we propose a framework for incorporating risk aversion in multi-period inventory models as well as multi-period models that coordinate inventory and pricing str...

In a manufacturing environment it is often necessary to perform a manual inventory of finished goods and raw materials. These raw materials might be wood, plastic or metal and often represent a large investment of capital to procure and store. While the economic value of an accurate inventory is high, the process of obtaining a good count is tedious and fraught with human error. As a precursor ...

Regional health information organizations (RHIOs) form the core building blocks of any approach to creating the National Health Information Infrastructure. RHIOs are computer-supported information sharing alliances composed of health care institutions that need to exchange clinical, financial or administrative data. Many uncertainties, including institution conversion costs, price-to-participat...

In this paper we adopt the common cycle approach to economic lot scheduling problem and minimize the maximum aggregate inventory. We allow the occurrence of the idle times between any two consecutive products and consider limited capital for investment in inventory. We assume the setup times are negligible. To achieve the optimal investment in inventory we first find the idle times which minimi...

atmospheric pressure plasma (app) is an emerging non thermal technology for the improvement of food  safety. non-thermal plasma (ntp) is a neutral ionized gas that comprises highly reactive spices including, positive ions, negative ions, free radicals, electrons, excited or non excited molecules and photons at or near room temperature. ntp can be generated at atmospheric pressure that makes it ...