Titlebook: Operations Research Proceedings 2003; Selected Papers of t Dino Ahr,Roland Fahrion,Gerhard Reinelt Conference proceedings 2004 Springer-Ver

NIL

Performance Analysis of ,-designed Inbound Call Centers three agent groups, and skills-based routing. In our model we assume that a waiting customer may hang up before his service begins. All times are assumed to be exponentially distributed. We describe the states and the state space of this continuous time Markov chain and develop the steady-state equ

綠州

AUGUR

Network Revenue Management: Some Issues on Upper and Lower Boundsetting nested booking limits .. for all products .=1,…, .. For this setting, no closed form for the objective function is known. In this paper, we propose a method to derive upper and lower bounds on the expected revenue when nested booking limits ..,…, .. are given.

nuclear-tests

Optimisation Methods for UMTS Radio Network Planningacity. We describe an optimisation model for this problem that is based on comprehensive planning data of the EU project .. We present heuristic mathematical methods for this realistic model, including computational results.

mediocrity

Distribution Planning Problem: A Surveyearch in terms of decision levels. These are strategic, tactical and operational levels. We also tabulate the reviewed re- search in terms of model types, model characteristics, solution procedures and the decision levels.

Cupping

Artikelanordnungsmuster bei Mann-zur-Ware-Kommissionierung bei gegebenen, in der Praxis h?ufig anzutreffenden Problemparametern. Die numerischen Ergebnisse zeigen für ein gegebenes Lagersystem, dass die Festplatzlagerung einem chaotischen Lager vorzuziehen ist und dass durch die Wahl bestimmter Artikelanordnungsmuster in Abh?ngigkeit von der verwendeten Ro

gregarious

OGLE

Analyzing the Bullwhip Effect of Installation-Stock and Echelon-Stock Policies with Linear Control Ted through a supply chain, order oscillations and inventory oscillations are typically amplified at each echelon. This behavior is referred to as the bullwhip effect. To analyze how different inventory policies affect order and inventory oscillations we apply linear control theory. We show that the

FLIC

魅力

Deriving Inventory-Control Policies for Periodic Review with Genetic Programmingave been developed in the last decades. These inventory-control policies are typically derived analytically, which is often complicated and time consuming. For many relevant settings, such as complex multi-echelon models, there exist no closed-form formulae to describe the optimal solution. Optimal