The Hybrid Ant Lion and Grey Wolf Algorithm (HALGW) for Cashew Nuts Production Plan with Split Demand

The novel concept of split demand is introduced based on the dynamic single-level lotsizing (DSLLS), called the DSLLS-split demand model. The hybrid algorithm based on the combination between Ant Lion Optimization (ALO) and Gray Wolf Optimization (GWO), called the HALGW algorithm is proposed in this study. The suitable cashew nut production planning is examined with the DSLLS-split demand model and the HALGW algorithm. Four monthly datasets including demand, production quantity, production cost and holding cost are collected from January 2020 to December 2020. Two main concepts with split demand and without split demand are compared with three different algorithms: ALO, GWO and HALGW. The results found that the HALGW algorithm with the concept of split demand provides the minimum cost, 507,910.11 baht with lowest RMSE value, 106.08 and lowest MAPE value, 0.0000115. Hence, this method may help the community enterprise in Tha Pla, Uttaradit, Thailand to manage their processes, efficiently.

Authors

Publication Details

Journal
Management and Production Engineering Review
Published
2024-09-30
DOI
https://doi.org/10.24425/mper.2024.151482
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Hybrid Ant Lion and Grey Wolf Algorithm (HALGW) for Cashew Nuts Production Plan with Split Demand

V.P. Surin, Apisak Phromfaiy, Natita Wangsoh
Management and Production Engineering Review
Energy Load and Power Forecasting
article

The Hybrid Ant Lion and Grey Wolf Algorithm (HALGW) for Cashew Nuts Production Plan with Split Demand

V.P. Surin, Apisak Phromfaiy, Natita Wangsoh
article en

Abstract

The novel concept of split demand is introduced based on the dynamic single-level lotsizing (DSLLS), called the DSLLS-split demand model. The hybrid algorithm based on the combination between Ant Lion Optimization (ALO) and Gray Wolf Optimization (GWO), called the HALGW algorithm is proposed in this study. The suitable cashew nut production planning is examined with the DSLLS-split demand model and the HALGW algorithm. Four monthly datasets including demand, production quantity, production cost and holding cost are collected from January 2020 to December 2020. Two main concepts with split demand and without split demand are compared with three different algorithms: ALO, GWO and HALGW. The results found that the HALGW algorithm with the concept of split demand provides the minimum cost, 507,910.11 baht with lowest RMSE value, 106.08 and lowest MAPE value, 0.0000115. Hence, this method may help the community enterprise in Tha Pla, Uttaradit, Thailand to manage their processes, efficiently.

Management and Production Engineering Review
Openalex Percentile: Top 80%
Energy Load and Power Forecasting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.