Multi Objective Optimization of Physical Work Environment Parameters to Minimize Driver Fatigue in the Logistics Industry
Intan Berlianty, Irwan Soejanto, Indun Titisariwati, Wahyu Tri Utami, Mohammad Kamil Insani, Favian Ersanta Andhika Putra

Universitas Pembangunan Nasional Veteran Yogyakarta

Abstract

Driver fatigue is a critical issue in the logistics industry, often exacerbated by suboptimal physical work environment conditions. This study employs a Multi Objective Optimization (MOO) approach to minimize driver fatigue by optimizing key environmental parameters specifically, noise levels and ambient temperature. Data were synthesized to reflect a range of conditions typically encountered in logistics operations, with noise levels ranging from 75 to 85 decibel and temperatures from 25 to 27 degree Celsius. Driver fatigue was quantified using the Cardiovascular Load (CVL) index, with an analysis showing that higher noise levels and temperatures significantly increase CVL, indicating higher fatigue levels. Using quadratic regression models, the relationship between environmental factors and CVL was modeled to serve as the foundation for optimization. The MOO approach identified that maintaining noise levels at approximately 84.5 decibel and temperatures around 26.5 degree Celsius could effectively minimize driver fatigue, reducing the CVL significantly. These findings offer valuable insights for logistics companies seeking to enhance driver well being and operational efficiency through targeted environmental interventions.

Keywords: Multi Objective Optimization, Driver Fatigue, Cardiovascular Load, Noise, Temperature, Logistics Industry

Topic: Engineering