Identifying the influence of land logistic driver cognitive energy impact on supply chain performance through agent-based simulation

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.302286

Keywords:

cognitive energy expenditure (CEE), supply chain network (SCN), agent-based simulation, electroencephalography (EEG), logistic transport

Abstract

Logistic transports link demand generators, distributors, and producers in a supply chain network (SCN). The existence of logistic transports is critical to ensure whole nodes’ economic sustainability. This study explores the impact of human factors on SCN performance through cognitive energy expenditure (CEE) tracking. Agent-based model (ABM) simulation was used to analyze the impact of CEE from truck driver’s electroencephalography (EEG) data to obtain the postsynaptic potential values, which were then transformed to calorific energy. The fleet agents, retailers and distributor models were built based on the East Java, Indonesia, logistic transport route around Karanglo, Gempol, Bungurasih, and Gubeng. The frequency and the peak value of the EEG data, postsynaptic potential, and energy data indicate the same information. All data indicate that more challenging routes have higher frequency and higher peak values. The ABM simulation of the fleet agents shows balanced CEE throughout entire routes due to the precise rest period and eat scheduling. The average delivery success rate was 8 out of 30 or 26.7 % in each simulation time step. Hence, most goods delivery tasks can be completed by fleet agents in a balanced system. As a consequence, the SCN performance is also balanced due to the fluid inventory shift without overstock and stockouts. The rest and eat periods of a fleet agent were scheduled after the CEE has been peaked. The time lag between rest periods and transport operations has to be maintained to overcome fleet agents task buildup. Task buildup has a potential to decay both transport safety and inventory shift rates. Therefore, the upgrade in SCN performance is possible through proper fleet agents scheduling

Supporting Agency

  • The authors would like to acknowledge Riset Kolaborasi Indonesia (RKI) program for the funding, Brawijaya University, Sepuluh Nopember Institute of Technology and State University of Malang for their encouragements and support.

Author Biographies

Ishardita Pambudi Tama, Brawijaya University

Doctor of Engineering, Associate Professor

Department of Industrial Engineering

Dewi Hardiningtyas, Brawijaya University

Master of Engineering, Assistant Professor

Department of Industrial Engineering

Adithya Sudiarno, Sepuluh Nopember Institute of Technology

Doctor of Engineering, Associate Professor

School of Interdisciplinary Management and Technology

Aisyah Larasati, State University of Malang

Doctor of Engineering, Associate Professor

Department of Mechanical Engineering

Willy Satrio Nugroho, Brawijaya University

Doctor of Engineering

Department of Mechanical Engineering

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Identifying the influence of land logistic driver cognitive energy impact on supply chain performance through agent-based simulation

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Published

2024-04-30

How to Cite

Tama, I. P., Hardiningtyas, D., Sudiarno, A., Larasati, A., & Nugroho, W. S. (2024). Identifying the influence of land logistic driver cognitive energy impact on supply chain performance through agent-based simulation. Eastern-European Journal of Enterprise Technologies, 2(3 (128), 6–13. https://doi.org/10.15587/1729-4061.2024.302286

Issue

Vol. 2 No. 3 (128) (2024): Control processes

Section

Control processes

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Copyright (c) 2024 Ishardita Pambudi Tama, Dewi Hardiningtyas, Adithya Sudiarno, Aisyah Larasati, Willy Satrio Nugroho

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