Data clustering is an instrumental tool in the area of energy resource management. One problem with conventional that it does not take final use clustered data into account, which may lead to a very suboptimal or computational resources. When are used by decision-making entity, turns out significant gains can be obtained tailoring scheme task performed entity. The key having good performance au...

Abstract With a cap-and-trade policy and green technology as inputs, we built manufacturing ordering pricing joint decision-making model for two downward substitution products to identify the conditions optimal order quantities prices of under additive demand case. Considering case single period model, required were discussed, construction was analyzed; furthermore, study tactical choices betwe...

One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...

In this paper, an incentive scheme based on crashing lead time is proposed to coordinate a supplier-retailer supply chain (SC). In the investigated SC, the supplier applies a lot-for-lot replenishment policy to replenish its stock and determines the replenishment multiplier. Moreover, the transportation lead time is considered under the control of the supplier. The retailer as downstream member...

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...

This study models a joint pricing, inventory, and preservation decision-making problem for deteriorating items subject to stochastic demand and promotional effort. The generalized price-dependent stochastic demand, time proportional deterioration, and partial backlogging rates are used to model the inventory system. The objective is to find the optimal pricing, replenishment, and preservation t...

Institute of Computational Modeling SB RAS, Academgorodok, Krasnoyarsk, Russia, 660036 e-mail: [email protected], phone +7 3912 495382 Abstract Risk measures are widely used in insurance pricing, portfolio selection, and in decision-making in general. Two prevalent classes of risk measures are expected utility (a dollar transform), and distorted probability (a probability transform). Both appro...

The competitors in the airline industry often rely on pricing strategy to capture more sales as a main mean of competition. Thus, dynamic pricing is often utilized to maximize profit while allowing better pricing against competition at the same time. In order for dynamic pricing to be effective, airline company has to take in consideration both internal and external information. Tactical pricin...