Citation
Medium-Term Production and Staff Planning in the Automotive Industry. In proceedings of the 3rd Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2007), 28 -31 August 2007, Paris, France, pages 209-216, 2007.
Paper
Abstract
In this paper we present a Dynamic Programming approach for an integrated production and staff planning problem in the automotive industry. The planning horizon has a length of three to six years. We focus on one shop with parallel production lines and search for a least cost solution subject to the given flexibility of the production resources. The flexibility is induced by the adjustment screws like production speed and time, permanent and temporary workers, and the distribution of a prescribed production program between the lines. In addition, we consider labor legislation, technical restrictions and in-plant-agreements. To obtain a tractable problem size, i.e. to guarantee the operational usability of the software tool to be developed, we modify the basic approach and introduce a heuristic to solve the embedded staff planning problem. A prototypical implementation shows that the approach works well.
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Bibtex
@INPROCEEDINGS{2007-209-216-P, author = {C. Hemig and J. Zimmermann},
title = {Medium-Term Production and Staff Planning in the Automotive Industry},
booktitle = {In proceedings of the 3rd Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2007), 28 -31 August 2007, Paris, France},
year = {2007},
editor = {P. Baptiste and G. Kendall and A. Munier-Kordon and F. Sourd},
pages = {209--216},
note = {Paper},
abstract = {In this paper we present a Dynamic Programming approach for an integrated production and staff planning problem in the automotive industry. The planning horizon has a length of three to six years. We focus on one shop with parallel production lines and search for a least cost solution subject to the given flexibility of the production resources. The flexibility is induced by the adjustment screws like production speed and time, permanent and temporary workers, and the distribution of a prescribed production program between the lines. In addition, we consider labor legislation, technical restrictions and in-plant-agreements. To obtain a tractable problem size, i.e. to guarantee the operational usability of the software tool to be developed, we modify the basic approach and introduce a heuristic to solve the embedded staff planning problem. A prototypical implementation shows that the approach works well.},
owner = {Faizah Hamdan},
timestamp = {2012.05.21},
webpdf = {2007-209-216-P.pdf} }