call reviewer

Dear Dr.  at 

I hope that this email finds you well.

I am Supriyadi. the editor-in-chief of Jurnal Sistem dan Manajemen Industri (Journal System and Management of Industries), a journal on Industrial Engineering published by Universitas Serang Raya (Indonesia).

We currently have an article entitled Discrete-event simulation of truck–excavator systems in surface mining using a finite-source closed-loop queuing model. Considering your expertise in Discrete-event simulation issues, I would like to invite you to serve as the Reviewer in our journal to review the article.

Abstract
Surface mining operation, categorized as a finite-source closed-loop queuing model, is often modelled using an optimization-based approach. Under the optimization approach, the system is typically assumed deterministic in terms of activities’ time and homogeneous in terms of fleet configuration. To address the gaps, this paper contributes by providing a case study on utilizing discrete-event simulation (DES) to analyze a finite-source closed-loop queuing model in a surface mining operation. The mining operation operates under a first-come, first-served (FCFS) discipline and loops through four phases: loading, hauling, dumping, and returning. The DES was developed using Python’s SimPy library. The case study focuses on a coal overburden removal that is currently experiencing a 19.17% shortfall in production and a match factor (MF) of 0.74. Under the current configuration, MF < 1 indicates an under-trucked system where the excavator frequently idles while awaiting truck returns. The validated model was used to evaluate the performance of three scenarios: (1) the as-is scenario with four trucks and one excavator, (2) variations of truck quantity, and (3) a route improvement scenario to reduce travel time. Simulation results indicate that adding five trucks yielded the highest productivity (533.86 BCM/hour), utilization (92.48%), and MF (0.91), while the route optimization scenario achieved nearly comparable performance (513.94 BCM/hour, 88.86% utilization, MF = 0.88) with lower resource input. Although the current case study involves a homogeneous fleet with a single excavator, this study also tests the DES model under heterogeneous fleet configurations and a multi-server setup involving two excavators. These findings highlight that DES is capable of modeling a queuing system under a finite-source closed-loop, both under homogeneous and heterogeneous fleet configurations.

We apologize for interrupting your time.

Sincerely,
Supriyadi
Managing Editor
Jurnal Sistem dan Manajemen Industri (Journal System and Management of Industries)
http://e-jurnal.lppmunsera.org/index.php/JSMI