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Using break quantities for tactical optimisation in multistage distribution systems

Kleijn, M.J.; Dekker, R. - Erasmus University Rotterdam, Econometric Institute - 1997

marketing process, and a qualitative and quantitative analysis on the implications for the transportation and inventory costs …

Persistent link: https://www.econbiz.de/10004972199

A column generation approach to solve the crew re-scheduling problem

Huisman, D. - Erasmus University Rotterdam, Econometric Institute - 2005

When tracks are out of service for maintenance during a certain period, trains cannot be operated on those tracks. This leads to a modified timetable, and results in infeasible rolling stock and crew schedules. Therefore, these schedules need to be repaired. The topic of this paper is the...

Persistent link: https://www.econbiz.de/10004972202

A solution approach for dynamic vehicle and crew scheduling

Huisman, D.; Wagelmans, A.P.M. - Erasmus University Rotterdam, Econometric Institute - 2004

In this paper, we discuss the dynamic vehicle and crew scheduling problem and we propose a solution approach consisting of solving a sequence of optimization problems. Furthermore, we explain why it is useful to consider such a dynamic approach and compare it with a static one. Moreover, we...

Persistent link: https://www.econbiz.de/10004991129

Inventory control of spare parts using a Bayesian approach: a case study

Aronis, K-P.; Magou, I.; Dekker, R.; Tagaras, G. - Erasmus University Rotterdam, Econometric Institute - 1999

This paper presents a case study of applying a Bayesian approach to forecast demand and subsequently determine the appropriate parameter S of an (S-1,S) inventory system for controlling spare parts of electronic equipment. First, the problem and the current policy are described. Then, the basic...

Persistent link: https://www.econbiz.de/10004972243

Rework and postponement: a comparison of bottling strategies

Teunter, R.H.; Flapper, S.D.P. - Erasmus University Rotterdam, Econometric Institute - 2003

This paper presents the results of a case study in a batch production facility for biological vaccines. The problem considered is that of finding the best bottling strategy for produced batches. A batch can be bottled directly after production, after positive intermediate test results, or after...

Persistent link: https://www.econbiz.de/10008584666

The multiple-job repair kit problem

Teunter, R.H. - Erasmus University Rotterdam, Econometric Institute - 2003

The repair kit problem is that of finding the optimal set of parts in the kit of a repairman. An important aspect of this problem, in many real-life situations, is that several job-sites are visited before a kit is restocked. In this paper, we present two heuristics for solving the multiple-job...

Persistent link: https://www.econbiz.de/10008584739

Alternate Samplingmethods for Estimating Multivariate Normal Probabilities

SÃ¡ndor, Z.; AndrÃ¡s, P. - Erasmus University Rotterdam, Econometric Institute - 2003

We study the performance of alternative sampling methods for estimating multivariate normal probabilities through the GHK simulator. The sampling methods are randomized versions of some quasi-Monte Carlo samples (Halton, Niederreiter, Niederreiter-Xing sequences and lattice points) and some...

Persistent link: https://www.econbiz.de/10004969826

Adaptive extensions of the Nelder and Mead Simplex Method for optimization of stochastic simulation models

Neddermeijer, H.G.; Oortmarssen, G.J. van; Piersma, N.; … - Erasmus University Rotterdam, Econometric Institute - 2000

We consider the Nelder and Mead Simplex Method for the optimization of stochastic simulation models. Existing and new …

Persistent link: https://www.econbiz.de/10004972258

A framework for response surface methodology for simulation optimization

Neddermeijer, H.G.; Oortmarssen, G.J. van; Piersma, N.; … - Erasmus University Rotterdam, Econometric Institute - 2000

We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology …. The framework is especially intended for simulation models where the calculation of the corresponding stochastic response … stochastic simulation models in a non-automated fashion. In scientific applications there is a clear need for a standardized …

Persistent link: https://www.econbiz.de/10004972270

Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk

Bauwens, L.; Bos, C.S.; Dijk, H.K. van - Erasmus University Rotterdam, Econometric Institute - 1999

Adaptive Polar Sampling (APS) is proposed as a Markov chain Monte Carlo method for Bayesian analysis of models with ill-behaved posterior distributions. In order to sample efficiently from such a distribution, a location-scale transformation and a transformation to polar coordinates are used....

Persistent link: https://www.econbiz.de/10005051715