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Advanced Planning in Vertically Integrated Wine Supply Chains

Conference paper
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Part of the Studies in Computational Intelligence book series (SCI, volume 490)

Abstract

This chapter gives detailed insights into a project for transitioning a wine manufacturing company from a mostly spreadsheet driven business with isolated silo-operated planning units into one that makes use of integrated and optimised decision making by use of modern heuristics. We present a piece of the puzzle - the modelling of business entities and their silo operations and optimizations, and pave the path for a further holistic integration to obtain company-wide globally optimised decisions. We argue that the use of “Computational Intelligence” methods is essential to cater for dynamic, time-variant and non-linear constraints and solve today’s real-world problems exemplified by the given wine supply chain.

Keywords

Supply Chain Supply Chain Management Time Block Supply Chain Network Advance Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.School of Computer ScienceUniversity of AdelaideAdelaideAustralia
  2. 2.SolveIT Software, Pty Ltd.AdelaideAustralia
  3. 3.SolveIT Software, Pty Ltd.DocklandsAustralia
  4. 4.School of Computer ScienceRMIT UniversityMelbourneAustralia
  5. 5.Institute of Computer SciencePolish Academy of SciencesWarsawPoland
  6. 6.Polish-Japanese Institute of Information TechnologyWarsawPoland

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