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Stochastic operations optimisation for delivery services

Aitken, J Stochastic operations optimisation for delivery services In: the 21 st International Annual EurOMA Conference taking place in ,., 2014-06-20 - 2014-06-25, Palermo, Italy.

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Abstract

The purpose of this paper is to investigate the use of business analytics as a method for developing an understanding of the environment that delivery service organisations operate within and how this comprehension can support the implementation of lean thinking. Mapping complex and dynamic environments in a manner which provides sufficient insight and clarity is a challenge when utilising traditional value stream mapping tools. Typically the maps generated are static diagrams ranging from high level learning to see (Rother and Shook, 1998) to detailed process maps (Bicheno, 2008). These maps are instructive in highlighting areas to remove muda but are limited in developing visualisations of scenarios and options, to manage uncertain demand, that are possible through business analytics. Through modelling and experimentation organisations and individuals can reshape their cognitive maps to develop and recognise new opportunities to improve their processes. Improvement in the presentation and dynamic use of information can also support people in developing double-loop learning abilities (Argyris, 1999) therefore having the potential to increase performance.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Aitken, Jjames.aitken@surrey.ac.ukUNSPECIFIED
Depositing User : Symplectic Elements
Date Deposited : 16 May 2017 15:31
Last Modified : 17 May 2017 14:36
URI: http://epubs.surrey.ac.uk/id/eprint/820182

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