Jurnal Optimasi Sistem Industri (JOSI) has published Vol. 24 No. 2 (2025), released on December 31, 2025. This issue includes 11 articles that address practical industrial and systems problems across operations, human factors, product design, sustainability, and digital adoption.

The articles examine facility layout decisions that account for safety distances and geometric constraints, inbound scheduling for resource-constrained warehouses, and EV route planning that considers charging stops and recharging time. The issue also includes research on human factors in railway maintenance, such as ergonomic risk assessment, what makes people wear hearing protectors, and how to use fNIRS to measure cognitive load. In product and design engineering, the issue includes a study on the design of luxury train seats that integrates emotional perception and local wisdom, as well as a systematic review on flexible FDM 3D-printed insoles for flatfoot treatment. Several papers connect sustainability and digital behavior to industrial outcomes, including consumer responses to greenwashing in single-use plastics, acceptance of food waste mobile applications, and a conceptual model of digitalization and sustainability indicators for SMI resilience. Authors in this issue come from Indonesia, Australia, Germany, Malaysia, the Netherlands, Brazil, Canada, and the United States.

In modern industrial operations, complexity is increasing as organizations manage multiple interconnected systems that must work together seamlessly. Traditional optimization approaches often focus on improving individual components, but in reality, industries operate as interdependent networks where changes in one system influence the performance of others. This is where System of Systems Engineering (SoSE) emerges as a transformative approach, enabling industries to optimize large-scale, interconnected systems holistically rather than in isolation.

In an increasingly data-driven world, industries face optimization problems that are too complex for traditional mathematical methods to address. Whether it is scheduling production, optimizing supply chains, or managing logistics, the complexity of these challenges requires advanced problem-solving techniques. Metaheuristic algorithms have emerged as a powerful solution, enabling industries to identify near-optimal answers to problems that are otherwise computationally intractable. These algorithms mimic natural or evolutionary processes to efficiently search for solutions, making them a cornerstone of industrial optimization.

Today we celebrate Indonesia’s 80 years of independence and the promise behind this year’s theme, Unity, Sovereignty, Prosperous People, Advanced Indonesia. At the Jurnal Optimasi Sistem Industri (JOSI), we translate that promise into practice. Unity is the coordination of people, data, and decisions. Sovereignty is supply chains designed for our archipelago so local industries can stand on their own. Prosperity is productivity that cuts waste while protecting the environment. Advancement is everyday choices made smarter by evidence.

In the fast-paced world of industrial systems, efficiency is the cornerstone of competitiveness. Companies are continually seeking ways to streamline operations, reduce waste, and enhance productivity. One of the most powerful tools enabling this transformation is simulation-based optimization, a technique that allows industries to test, refine, and implement strategies in a virtual environment before deploying them in real-world settings. This approach not only minimizes risk but also leads to data-driven, high-impact decision-making.

We are pleased to present Volume 24, Issue 1 of the Jurnal Optimasi Sistem Industri, officially published on June 30, 2025. This issue comprises a diverse and compelling selection of articles that reflect the journal’s commitment to advancing the science and practice of industrial systems optimization, particularly through interdisciplinary and data-driven approaches.

The rapid advancement of the Internet of Things (IoT) is revolutionizing industrial systems, bringing unprecedented levels of connectivity, automation, and efficiency. In an era driven by data, IoT-enabled technologies empower industries to monitor, analyze, and optimize operations in real time, significantly improving productivity and decision-making processes. As industrial ecosystems evolve, the integration of IoT into manufacturing, logistics, and infrastructure is becoming a defining factor in industrial optimization.

As industries seek to balance profitability with environmental responsibility, sustainable manufacturing practices have become an essential focus of industrial optimization. The growing urgency to reduce waste, conserve energy, and minimize carbon footprints is driving researchers and practitioners to develop innovative solutions that align with both economic and environmental objectives. In the coming years, sustainable manufacturing will play a pivotal role in shaping the future of industrial systems, offering a pathway to long-term resilience and competitiveness.

In the dynamic world of academic publishing, every step forward tells a story of collective dedication, peer collaboration, and quiet perseverance. For Jurnal Optimasi Sistem Industri (JOSI), that journey has reached an encouraging milestone: its inclusion in the Q3 quartile of Industrial and Manufacturing Engineering in the SCImago Journal & Country Rank (SJR).

Industrial automation and robotics are driving a new era of efficiency, precision, and adaptability in manufacturing and operations. As industries strive to optimize processes, reduce operational costs, and enhance productivity, advanced automation technologies and robotics are becoming indispensable. These innovations are not only transforming how industries function but also redefining the role of human workers in the production environment.

The integration of artificial intelligence (AI) and machine learning (ML) into industrial systems is rapidly reshaping the way industries operate, optimize, and innovate. As industries grow more complex and data-driven, the ability to harness AI and ML technologies offers unprecedented efficiency, precision, and adaptability. In the pursuit of optimization, these technologies are no longer just experimental tools but have become essential drivers of transformation.

In the rapidly evolving landscape of industrial systems, innovation continues to shape the future of optimization. Over the next five years, groundbreaking advancements will redefine efficiency, sustainability, and intelligence in industrial operations. As researchers push the boundaries of knowledge, the Jurnal Optimasi Sistem Industri (JOSI) remains at the forefront, providing a platform for cutting-edge studies that drive meaningful impact.

This blog series explores the pivotal trends poised to revolutionize industrial systems optimization and invites researchers to contribute their insights to JOSI.

We are pleased to announce that Volume 23, Issue 2 of the Jurnal Optimasi Sistem Industri (JOSI) is now available on our website. We appreciate your patience during our recent server issues, which delayed this publication by a month. Our technical team worked diligently to resolve the problem by migrating to a new server, and we are delighted to have overcome the challenges to bring you this latest edition!

Jurnal Optimasi Sistem Industri, a Scopus-indexed diamond open-access journal, has become a trusted platform for researchers in the field of industrial systems optimization. Published by the Faculty of Engineering at Andalas University, this journal is committed to providing free access to high-quality research. By adopting a diamond open-access model, the journal eliminates financial barriers for both authors and readers, ensuring that knowledge remains accessible and equitable.

At Jurnal Optimasi Sistem Industri (JOSI), we are committed to advancing research that explores the intersection of technology, ethics, and sustainability. GPT exemplifies the kind of innovation that aligns with our focus on soft systems optimization, interdisciplinary approaches, and contributions to global goals. We see immense value in studies that not only highlight the technical capabilities of GPT but also examine its societal impact, ethical dimensions, and role in fostering sustainable industrial practices.

The United Nations' Sustainable Development Goals (SDGs) provide a global framework for addressing critical challenges such as economic growth, innovation, and sustainability. Industrial engineering plays a pivotal role in achieving these goals, particularly by optimizing systems, improving operational efficiency, and fostering innovation. Generative Pre-trained Transformers (GPT), as a cutting-edge artificial intelligence (AI) technology, are uniquely positioned to support industries in making meaningful progress toward these objectives.

In this blog post, we explore how GPT applications align with specific SDGs that resonate with the focus and mission of Jurnal Optimasi Sistem Industri (JOSI).

In today’s rapidly evolving technological landscape, the ability to bridge diverse fields of study is crucial for tackling the multifaceted challenges faced by industries. Generative Pre-trained Transformers (GPT), a breakthrough in artificial intelligence, exemplify this interdisciplinary potential. By seamlessly connecting industrial engineering, computer science, and other disciplines, GPT is driving innovation in areas where collaboration and integration are essential.

In this blog post, we will explore how GPT-based systems enable interdisciplinary applications, with a focus on their impact in human-computer interaction (HCI) and knowledge management. These applications align with Jurnal Optimasi Sistem Industri’s (JOSI) mission to foster interdisciplinary research and promote system optimization.

Industrial systems are rarely straightforward. They often involve complex, ill-structured problems influenced by human factors, organizational culture, and decision-making dynamics. These types of challenges, often addressed through soft systems methodologies, require innovative approaches to bridge gaps between technology, people, and processes. Generative Pre-trained Transformers (GPT), with their advanced natural language understanding capabilities, have emerged as a promising tool for optimizing soft systems in industrial engineering.

In this post, we explore how GPT can support soft systems methodologies by enhancing decision-making and facilitating effective communication among stakeholders.

Dear readers, the development of artificial intelligence has advanced to the point of daily application, impacting everyone from researchers to the general public. In line with this progress, Jurnal Optimasi Sistem Industri will explore how artificial intelligence, with a particular focus on Generative Pre-trained Transformers (GPT), aligns with the journal's focus and scope. We will publish a series of concise and accessible articles on this topic to ensure ease of reading and understanding.

We begin with this post: Exploring the Relevance of GPT in Industrial Engineering

Enjoy!

Dear valued visitors, readers, authors, and reviewers,

We are excited to share that Jurnal Optimasi Sistem Industri is now live on a new server! After encountering some challenges over the past few months, we are genuinely delighted to be able to serve you once again.

However, there is an important update. For security reasons, we were unable to transfer your old usernames and passwords to the new server. We sincerely apologize for any inconvenience this may cause and kindly ask for your understanding, as this step was taken to ensure the best for all of us.

We humbly request that you register your account again on the new server. Once again, we deeply regret any inconvenience this might bring, but we are confident this measure will lead to a better and more secure experience for the future.

Additionally, while we have already moved some articles to the new server, the migration process is still ongoing. We kindly ask for your patience as we work diligently to complete this task and ensure all documents are accessible on the new platform.

We greatly appreciate your understanding and apologize for any disruption caused. Thank you for your continued support and cooperation.

In recent years, sustainability has become a central concern for industries worldwide. The drive toward eco-friendly practices, reducing environmental impact, and adopting long-term environmental responsibility has led to the rethinking of industrial systems. While much attention is given to the technical innovations that reduce waste and improve efficiency, the role of soft systems—such as leadership, team collaboration, and decision-making—is equally important in promoting sustainability. Soft systems provide the human-driven elements that guide an organization’s sustainability efforts, ensuring that eco-friendly practices are not only implemented but sustained over time. This post explores how optimizing soft systems can play a key role in fostering sustainable industrial operations.

In the evolving landscape of industrial systems, the role of technology has become increasingly vital, not only in enhancing the efficiency of hard systems but also in optimizing soft systems. Soft systems, which encompass human-centered aspects such as decision-making, leadership, and communication, are crucial to the overall performance of industrial operations. As industries adopt more sophisticated technologies like artificial intelligence (AI), automation, and communication platforms, the potential to improve the effectiveness of these human-centered systems becomes immense. In this post, we’ll explore how technology can be leveraged to optimize soft systems, enhancing decision-making, communication, and leadership in industrial environments.

In the previous post, we explored how optimizing soft systems can enhance decision-making and collaboration in industrial settings. Now, we’ll take a closer look at how soft systems can contribute to creating a culture of continuous improvement and how strong leadership plays a crucial role in sustaining optimized soft systems. Both factors are essential for driving long-term success in industrial environments.

For the next post in the series, we will explore the concept of industrial systems, with a particular focus on soft systems. Soft systems are an integral part of modern industrial processes, particularly in complex environments where human factors, organizational structures, and non-quantifiable elements play significant roles in decision-making and optimization.

This post is part of the series that will explore the optimisation concept, tailored for authors and researchers interested in submitting to Jurnal Optimasi Sistem Industri (JOSI). We will break down essential optimization techniques and terminologies, providing insights that can guide your research and manuscript preparation, helping you align with the scope and standards of JOSI.