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Production scheduling in the food industry

Garn, W and Aitken, J Production scheduling in the food industry In: 26th European Conference on Operational Research, 2013-07-01 - 2013-07-04, Rome, Italy.

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Abstract

In this paper we study the optimality of production schedules in the food industry. Specifically we are interested whether stochastic economic lot scheduling based on aggregated forecasts outperforms other lot sizing approaches. Empirical data on the operation’s customer side such as product variety, demand and inventory is used. Hybrid demand profiles are split into make-to-order (MTO) and make-to-stock (MTS) time series. We find that the MTS demand aggregation stabilizes, minimizes change-overs, and optimizes manufacturing.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Garn, Ww.garn@surrey.ac.ukUNSPECIFIED
Aitken, Jjames.aitken@surrey.ac.ukUNSPECIFIED
Depositing User : Symplectic Elements
Date Deposited : 16 May 2017 15:24
Last Modified : 17 May 2017 14:34
URI: http://epubs.surrey.ac.uk/id/eprint/819389

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