Integrated Process Planning and Scheduling in Commercial Smart Kitchens
Piotr Dziurzanski, Shuai Zhao and Soares Indrusiak Leandro
This paper describes the possibility of applying a generic, cloud-based Optimisation as a Service facility to food cooking planning and scheduling in a commercial kitchen. We propose a chromosome encoding and customisation of the classic MOEA/D multi-objective genetic algorithm. The applicability of the proposed approach is evaluated experimentally for two scenarios different with respect to the number of cooking appliances and the amount of the ordered food. The proposed system managed to determine the trade-offs between cooking time, energy dissipation and food quality.
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BibTex Entry
@inproceedings{Dziurzanski_2019,
author = {Piotr Dziurzanski and Shuai Zhao and {Soares Indrusiak}, Leandro},
booktitle = {International Workshop on Reconfigurable and Communication-centric Cyber-Physical Systems (ReCoCyPS 2019)},
day = {3},
language = {English},
month = {7},
pure_url = {https://pure.york.ac.uk/portal/en/publications/integrated-process-planning-and-scheduling-in-commercial-smart-kitchens(75f8c4bb-3342-42ae-ae39-4566f88c123a).html},
title = {Integrated Process Planning and Scheduling in Commercial Smart Kitchens},
year = {2019}
}