An Analysis of Some Telecommunication Traffic Models with Different Serving Intensities
An analysis of supply chain decisions with asymmetrical retailers : effects of disruptions and static service cost on coordination mechanism
The risk of demand or production cost disruption is one of the challenging problems in the supply chain management. This paper explores a generalized supply chain game model incorporating the possible disruptions. We find that a nonlinear Grove wholesale price scheme can fully coordinate such a supply chain even when both market demand and production cost are disrupted. The nonlinear Grove wholesale price scheme has three sides to coordinate the decision behavior of the players. One is that the...
An analysis of supply chain decisions with asymmetrical retailers : effects of disruptions and static service cost on coordination mechanism
The risk of demand or production cost disruption is one of the challenging problems in the supply chain management. This paper explores a generalized supply chain game model incorporating the possible disruptions. We find that a nonlinear Grove wholesale price scheme can fully coordinate such a supply chain even when both market demand and production cost are disrupted. The nonlinear Grove wholesale price scheme has three sides to coordinate the decision behavior of the players. One is that the...
An analytical formula for throughput of a production line with identical stations and random failures.
An Analytical Inventory Model for Exponentially Deteriorating Inventory With Random Lead Time Under Random Input
An application of nonprarametric Cox regression model in reliability analysis: a case study
The contribution deals with an application of the nonparametric version of Cox regression model to the analysis and modeling of the failure rate of technical devices. The objective is to recall the method of statistical analysis of such a model, to adapt it to the real–case study, and in such a way to demonstrate the flexibility of the Cox model. The goodness-of-fit of the model is tested, too, with the aid of the graphical test procedure based on generalized residuals.
An Approach for Selecting Appropriate Methods for Treating Uncertainty in Knowledge Based Systems
An approach to coordination of power generating units
An approach to robust network design in telecommunications
In telecommunications network design, one of the most frequent problems is to adjust the capacity on the links of the network in order to satisfy a set of requirements. In the past, these requirements were demands based on historical data and/or demographic predictions. Nowadays, because of new technology development and customer movement due to competitiveness, the demands present considerable variability. Thus, network robustness w.r.t demand uncertainty is now regarded as a major consideration....
An approach to solve a fuzzy bi-objective multi-index fixed charge transportation problem
In this paper, we propose a novel approach for solving a fuzzy bi-objective multi-index fixed-charge transportation problem where the aim is to minimize two objectives: the total transportation cost and transportation time. The parameters of the problem, such as fixed cost, variable cost, and transportation time are represented as fuzzy numbers. To extract crisp values from these parameters, a linear ranking function is used. The proposed approach initially separates the main problem into sub-problems....
An approximate analysis of the D/M/1 queue with deterministic customer impatience
An approximate economically optimal inspection interval for production processes with finite run length
An Approximate Method for Optimization of a Network Flow With Inverse Linear Constraints
An asset – liability management stochastic program of a leasing company
We build a multi-stage stochastic program of an asset-liability management problem of a leasing company, analyse model results and present a stress-testing methodology suited for financial applications. At the beginning, the business model of such a company is formulated. We introduce three various risk constraints, namely the chance constraint, the Value-at-Risk constraint and the conditional Value-at-Risk constraint along with the second-order stochastic dominance constraint, which are applied...
An autonomous vehicle sequencing problem at intersections: A genetic algorithm approach
This paper addresses a vehicle sequencing problem for adjacent intersections under the framework of Autonomous Intersection Management (AIM). In the context of AIM, autonomous vehicles are considered to be independent individuals and the traffic control aims at deciding on an efficient vehicle passing sequence. Since there are considerable vehicle passing combinations, how to find an efficient vehicle passing sequence in a short time becomes a big challenge, especially for more than one intersection....
An economical backup warning strategy for a hard disk
An effective generalization of the direct support method.
An effective method of monitoring the large-scale traffic pattern based on RMT and PCA.
An efficient genetic algorithm for the uncapacitated multiple allocation p-hub median problem
An efficient ILP formulation for the single machine scheduling problem
This paper considers the problem of scheduling n jobs on a single machine. A fixed processing time and an execution interval are associated with each job. Preemption is not allowed. On the basis of analytical and numerical dominance conditions, an efficient integer linear programming formulation is proposed for this problem, aiming at minimizing the maximum lateness (Lmax). Experiments have been performed by means of a commercial solver that show that this formulation is effective on large...