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A Modularized Model Using Hierachical Timed Coloured Petri Net
Details
Efforts are being made yearly by researchers to improve food manufacturing systems through modelling in order to meet the current and future market demands. However, most existing empirical studies are limited to the development of non-modular models which could not accommodate future modifications for multi-process food manufacturing systems. Hence, this research developed a modularized model for a multi-process food production system using Hierarchical Timed Coloured Petri Nets (HTCPN). Gari production processes employed were used as a case study in developing the HTCPN model. The model consists of ten modules which are Peeling, Washing, Grating, Fermentation, Dewatering, Pulverization, Garifying, Cooling, Sifting and Packaging modules. These modules modelled the sequential processes of converting cassava tubers into Gari.This research developed a modularized model which could accommodate future modifications through its associated modules for Gari production processes or other related multi-process food manufacturing system. The model could serve as a reference model for Gari production manager to study and plan working time, based on the quantity of Gari to be produced.
Autorentext
MURAINA Busirat Omotola works as an ICT and database administrator at National Open University of Nigeria. I studied Computer Science (B.Sc) at Osun state University. I also studied Computer technology (M.Sc) at Ladoke Akintola University of Technology.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786203042672
- Genre Business, Finance & Law
- Sprache Englisch
- Anzahl Seiten 132
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 215g
- Größe H220mm x B150mm x T8mm
- Jahr 2021
- EAN 9786203042672
- Format Kartonierter Einband (Kt)
- ISBN 6203042676
- Veröffentlichung 21.04.2021
- Titel A Modularized Model Using Hierachical Timed Coloured Petri Net
- Autor Muraina Busirat , Ganiyu Rafiu , Badmus Taofeeq
- Untertitel Developed modularized HTCPN model for food production, Validation of the model based on simulated time and real time