The classical newsvendor problem is to find a product's order quantity to maximize the expected profit under probabilistic demand. This paper restudies the problem under the perspective of competitive analysis, in which only the lower bound and upper bound rather than the distribution of the future demand are known. Some preliminary results of the problem with competitive analysis are given fir...

We study the pricing problem of a retailer facing the prospect of a change in the demand function during a finite selling season with no inventory replenishment opportunity. In particular, the time and the form of change in demand are unknown upfront and we focus on the fundamental trade-off between collecting revenues from current demand and doing so for post-change demand, those being linked ...

Imbalance (on-line energy gap between contracted supply and actual demand, and associated cost) reduction is going to be a crucial service for a Power Producer and Supplier (PPS) in the deregulated energy market. PPS requires forward market interactions to procure energy as precisely as possible in order to reduce imbalance energy. This paper presents, 1) (off-line) an effective demand aggregat...

in this paper a two-stage supply chain with a buyer and seller have been studied. it is assumed that lead time is probabilistic and demand is fixed. in the decentralized model it can be observed each supply chain member try to make the decision to maximize their profits and it will effect on the other members of supply chain and in the comparison with centralized model with assuming the seller ...

When earthquakes occur, structures sustain damages. But it is impossible to estimate damages exactly which occur in the structures because of the uncertainty of materials and ground motions. Therefore, probabilistic methods for estimating damages of the structures have been suggested lately. In this study, probabilistic capacity spectrum method expanding established capacity spectrum method is ...

Probabilistic optimization design offers tools for making reliable decisions with the consideration of uncertainty associated with design variables/parameters and simulation models. In a probabilistic design, such as reliability-based design and robust design, the design feasibility is formulated probabilistically such that the probability of the constraint satisfaction (reliability) exceeds th...

Currently, in many application areas the demand on probabilistic data grows. Duplicate entity representations are an essential problem of data quality, for certain databases as well as for probabilistic databases. Traditional duplicate detection approaches are based on pairwise comparisons. For dealing with large data sets, however, a comparison of all entity representation pairs is impractical...

This paper proposes surrogate models (or metamodels) mapping the parameters controlling dynamic behaviour of inelastic single-degree-of-freedom (SDoF) systems (i.e., force-displacement capacity curve, hysteretic behaviour) and their probabilistic seismic demand model (PSDM, i.e., conditional distribution an engineering parameter [EDP] given a ground-motion intensity measure [IM]). These metamod...

Textile dye industry waste is one of the most serious problems in the environment. The dye wastes are severely deleterious to surface water bodies. The present study was an attempt for the assessment of different physicochemical parameters such as pH, temperature, Electrical Conductivity (EC), Total Solids (TS), Total Dissolved Solids (TDS), Total Suspended Solids (TSS), Dissolved Oxygen (DO), ...