Reliability: Journal of Industrial Statistics: Announcements
type: channel
description: Reliability: Journal of Industrial Statistics is an open-access journal published by Arcstics Publisher, focusing on innovative developments in the field of statistics. The journal publishes two issues annually, with editions released in June and December. Since its establishment in 2026, Reliability has become a platform for original research articles that offer significant contributions to statistics, covering theoretical advancements, methodological innovations, and relevant data analytics applications. The journal is registered with e-ISSN xxxx-xxxx, and each published article is assigned a unique Digital Object Identifier (DOI) for easy access and citation. Managed using the Open Journal Systems (OJS), Reliability is available online at https://journals.arcstics.id/reliability/. For more information on the journal's scope and focus, please visit our focus and scope page here. Journal Information Title : Reliability: Journal of Industrial Statistics <img src="[binary]" /> Initials : Reliability Publications : 2 issues per year (May, November) DOI : prefix 10.30598 by crossref Acreditation : xxxx-xxxx Print ISSN : xxxx-xxxx Online ISSN : 3110-1674 Editor-in-chief : Muhammad Zulfadhli [Sinta ID : -] [Scopus] Citation Analysis : Scopus|Dimensions|Google Scholar Publisher : Arcstics Publisher in collaboration with xxxxx [Link SK] Indexing : google schoolar and view more OAI : https://journals.arcstics.id/reliability/ Reliability: Journal of Industrial Statistics, As a double-blind peer-reviewed journal, Reliability publishes one volume per year, consisting of two regular issues released in June and December. We accept manuscript submissions from authors worldwide. All articles must be written in English or Indonesian, must be original (not previously published), and must not be under review at another journal. To ensure academic integrity, all manuscripts will be checked for plagiarism using Turnitin software. Manuscripts with a similarity index exceeding 20% will b…
language: en
items: Announcements

Announcements
type: item
creator: Reliability: Journal of Industrial Statistics
date: %2025-%07-%22