Abstract: This paper investigates a decision-making problem consisting of less-than-truckload dynamic pricing (LTLDP) under Physical Internet (PI). PI can be seen as the interconnection of logistics networks via open PI-hubs, which can be considered as spot freight markets where LTL requests of different volume/destination continuously arrive over time for a short-stay. Carriers can bid for the...

Marriott International’s Group Pricing Optimizer (GPO), a decision support system, provides guidance to Marriott personnel on pricing hotel rooms for group customers. GPO uses demand segmentation, price-elasticity modeling, and optimization techniques to recommend an optimal rate. In operation since late 2006, the system has improved Marriott’s hotel profitability and enhanced the sales process...

This paper presents an overtly theological critique of the governmental regulation of the international transfer pricing activities of multi-national enterprises. In the transfer-pricing arena, it is known that MNEs transfer substantial values across national borders. The Organisation for Economic Cooperation and Development developed a set of Transfer Pricing Guidelines for Multinational Enter...

In this paper, we consider the pricing decision of a retailer who experiences peak demand for a product during a given time interval and wishes to stabilize the demand by adjusting the sales price. The stabilization of demand brings about desirable outcomes such as a reduction in the need for capacity investment and improves the production efficiency in the supply chain. We establish a continuo...

T issue of delegating pricing responsibility to the salesforce is of interest to marketing academics and practitioners. It has been shown by Lal (1986) that under certain situations with information asymmetry, it is more profitable for the firm to delegate pricing authority to the salesforce than to have centralized pricing. In this paper we re-examine situations where information asymmetry exi...

It mainly focuses the consumer strategy behavior effect on retailers pricing mechanism. Under the condition of uncertainty demand, consumers’ strategy behavior influence to price and profit. By introducing a discount factor, considering inventory timely complement and fixed inventory in two cases, obtains purchase decision and dynamic pricing strategies of consumers.

Making farm decisions is difficult, especially making decisions about selling and pricing wheat in deregulated supply chains. This study, conducted prior to export deregulation, sought to identify which factors were important to northern New South Wales (NSW) wheat growers when they were making decisions about wheat selling and price risk, under production and market uncertainty. Key questions ...

In this paper, we develop a stylized partially observed Markov decision process (POMDP) framework, to study a dynamic pricing problem faced by sellers of fashion-like goods. We consider a retailer that plans to sell a given stock of items during a finite sales season. The objective of the retailer is to dynamically price the product in a way that maximizes expected revenues. Our model brings to...

This paper describes an argumentation-based approach for automating the decision making process of an autonomous agent for pricing products. Product pricing usually involves different decision makers with different possibly conflicting points of view. Moreover, when considering firms in the retail business sector, they have hundreds or thousands of products to apply a pricing policy. Our approa...

In most deterministic manufacturing decision models, demand is either known or induced by pricing decisions in the period that the demand is experienced. However, in more realistic market scenarios consumers make purchase decisions with respect to price, not only in the current period, but also in past and future periods. We model a joint manufacturing/pricing decision problem, accounting for t...