252 research outputs found
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OSH Management in Small and Medium Enterprises: A Bibliometric Review
Full text linkSustainable Small and medium-sized enterprises (SMEs) are crucial to economic growth but face significant challenges in occupational safety and health (OSH). SMEs often lack the resources, expertise, and institutional support needed to manage OSH effectively, leading to higher rates of workplace accidents. This study addresses the lack of thematic synthesis and trend forecasting by offering a structured overview of the field's intellectual landscape. Using bibliographic coupling and co-word analysis, we identified key research themes, emerging trends, and influential studies. Data were collected from the Web of Science (WoS) Core Collection (1990 to 2024) yielding 552 initial records. After screening, 393 journal articles were analysed, with a total of 6,408 citations (6,181 excluding self-citations), an average of 16.31 citations per item and an H-index of 39. Applying a 30-citation threshold, 54 highly cited papers were subjected to bibliographic coupling, revealing six thematic clusters. The analysis indicates four prominent clusters: (1) the role of human resources in OSH programs, (2) health certifications and safety management systems, (3) employee perceptions of OSH efforts, and (4) the development of OSH models tailored to SMEs. Consequently, our findings demonstrate that OSH research in SMEs is steadily evolving toward more integrated, systematic management approaches. These insights suggest that enhancing OSH outcomes requires targeted strategies including strengthening human resource roles, adopting formal safety frameworks, emphasizing risk assessment and staff training, and implementing standardized practices fit for the SME context
Enhanced Sustainability Assessment Framework for Plywood Manufacturing: A Multi-Method Approach Using Delphi Technique, BWM, and S-VSM
Full text linkSustainable manufacturing has emerged as a critical priority in addressing the complex environmental, social, and economic challenges of modern industry. This study focuses on the plywood sector, a significant contributor to manufacturing, which faces distinct sustainability issues such as high energy consumption, material inefficiencies, and hazardous working conditions. To address these challenges, the research introduces workload and noise level as critical indicators for assessing sustainability, broadening the scope of traditional evaluation methods. A multi-method framework was employed, integrating the Delphi technique to identify key sustainability indicators, the Best Worst Method (BWM) to assign weights to these indicators, and Sustainable Value Stream Mapping (S-VSM) paired with a Traffic Light System (TLS) to evaluate and visualize the Manufacturing Sustainability Score (MSS). Applied to a plywood manufacturing case study, the framework highlighted areas requiring improvement, particularly in worker well-being and operational safety, while demonstrating the industry's moderate overall efficiency. By offering actionable insights for improving resource use, operational processes, and employee conditions, this framework provides a practical tool for industry managers aiming to enhance sustainability. Furthermore, its adaptability makes it a valuable reference for other manufacturing sectors seeking to implement resource-efficient and sustainable practices. This research not only fills critical gaps in sustainability assessment but also contributes to advancing industry practices by emphasizing holistic and innovative approaches to manufacturing efficiency
Developing an Industry-Specific Lean 4.0 Readiness Assessment Tool: A Case for the Chemical Sector
Full text linkIn an era where digital transformation is increasingly imperative, many industries struggle to navigate the complexities of technological adoption and operational efficiency. Lean principles, which emphasize waste reduction and process optimization, provide a robust foundation for digital transformation, particularly in the chemical industry, where unique operational challenges exist. This research aims to develop an integrated Lean 4.0 readiness assessment tool to bridge the gap between leanness and Industry 4.0 readiness. The study begins with a literature review on existing lean and Industry 4.0 readiness measurement tools and integrates them to create a new framework, using the Indonesia Industry 4.0 Readiness Index (INDI 4.0) as a reference, tailored specifically to the chemical industry. Expert interviews are conducted to refine the assessment tool, ensuring alignment with real-world industry conditions and practical insights. A Delphi-based expert consensus method combined with a fuzzy approach for handling imprecision in indicator ratings is employed to validate the framework, resulting in five key dimensions and 86 indicators. By gathering expert input, the tool addresses the chemical industry’s specific challenges and simplifies readiness evaluation, helping companies assess their preparedness for digital transformation and identify areas for improvement. The resulting framework enables chemical companies to bridge readiness gaps and prioritize targeted enhancements. Furthermore, this tool has the potential to serve as a scalable model for other industries, fostering more efficient and strategic digital transformation aligned with Industry 4.0 objectives globally
A Solution Approach on Reducing Defects in Batik Tanah Liek Production Process of a Small and Medium-sized Enterprise
Full text linkSmall and medium enterprises (SMEs) often struggle with implementing effective quality management practices, especially in traditional industries like batik production. These challenges include ensuring consistent product quality to differentiate from competitors and attract customers. This study focuses on addressing quality control issues in small-scale Batik Tanah Liek production, where significant defects persist. The research aims to assess existing practices, identify defect causes, and propose solutions to enhance product quality and reduce rejection rates. These efforts contribute to improving production efficiency and supporting the sustainability of this traditional craft. The study employs a systematic approach combining quality management methodologies, including data collection, problem identification, brainstorming, the Failure Mode and Effects Analysis (FMEA) approach, and actionable recommendations. Data was gathered through a questionnaire to capture perspectives on defects and quality control issues in batik production. Key quality challenges identified include faded batik, torn fabric, and incorrect motifs. Analysis revealed that the primary cause of incorrect motifs is the malfunctioning canting tool, which hinders proper wax application. Additionally, defects in dyeing and boiling processes contribute to fabric fading and tearing, exacerbating quality issues. The findings underscore the need for systematic solutions, such as creating clear work instructions, designing Standard Operating Procedures (SOPs) for process consistency, and implementing preventive maintenance schedules for equipment. By addressing these issues, the study provides practical interventions to improve production quality. These measures not only enhance the economic viability of SMEs but also play a crucial role in preserving the cultural heritage of Batik Tanah Liek. The implications of this research highlight the potential for broader adoption of quality management practices in traditional industries to ensure their sustainability in competitive markets
Optimizing the Supply Chain for Recycling Electric Vehicle NMC Batteries
Full text linkThe rapid growth of electric vehicle production has led to increased waste batteries that can no longer be used. This increase causes environmental and economic challenges. Lithium-ion battery waste harms the environment as it contains toxic and flammable chemicals. New raw materials need to be procured economically due to the need for more infrastructure and a circular economy. Therefore, the solution to overcome the impact of the accumulation of lithium battery waste is to recycle the battery. Recycling end-of-life batteries is necessary to mitigate material supply risks, reduce demand for new materials, and mitigate harmful environmental and health impacts. This study aims to provide a conceptual model for the supply chain network design of electric vehicles' Nickel Manganese Cobalt (NMC) battery recycling process. We developed a mathematical model to determine the allocation of multi-product recycling products from multi-suppliers and other related entities such as manufacturers and landfills over multiple periods. The analysis method utilizes techno-economic investment feasibility analysis and load distance method. The problem in the recycling process supply chain network is formulated in a Mixed Integer Linear Programming (MILP) model. The MILP optimization results show that the proposed model produces a globally optimal solution for allocating NMC batteries. The application of this study is to provide a solution to the treatment of waste batteries from electric vehicle end-users in Java Island, Indonesia. In addition, it can develop economic opportunities in the waste battery recycling business in the electric vehicle industry. It is building a contribution to a sustainable electric vehicle battery management system by reducing the dependence on demand for new materials from mining and analyzing the sustainability of the NMC electric vehicle battery recycling process
Time Window Characteristics in a Heuristic Algorithm for a Full-Truck Vehicle Routing Heuristic Algorithm in An Intermodal Context
Full text linkIntermodal container terminals handle both the pickup and delivery of containers to and from customers, with these transport activities and terminal handling comprising a significant portion of intermodal transport costs. Efficient operations are therefore essential, particularly when time window constraints limit routing flexibility. This study presents a metaheuristic incorporating time windows to plan container pickups and deliveries. The proposed algorithm operates in three phases: initial solution construction using an insertion heuristic, improvement via local search, and further refinement through a deterministic annealing metaheuristic. The presence of time windows makes the planning more difficult, as the transport company has less flexibility in constructing the transport routes and, as a result, the distance travelled and/or the cost is increased. To assess how time window characteristics affect algorithm performance andcost, the study introduces two temporal descriptors—concentration (the clustering of time windows during the day) and specialization (the dominance of short or long-time windows in specific periods). The results of the experimental runs of the algorithm are statistically analysed to identify under which conditions of concentration and specialization an effect on the cost can be identified. Experimental results reveal that increased concentration leads to a rise in both the number of routes (up to 35%) and total cost (around 2%). While concentration results in more routes, these routes remain relatively cost-efficient. Furthermore, a lack of specialization in concentrated time windows amplifies both the number of routes and the total cost. Finally, the length of time windows influences these effects, with shorter time windows having a reduced impact on concentration and specialization outcomes compared to longer ones
Towards Safer Workplace: A Survey-Based Study on Developing a Safety Climate Model for the Indonesian Paper Industry
Full text linkA reliable safety climate model is essential for evaluating safety behavior and predicting risks such as accidents or injuries, yet no research has specifically addressed the safety climate in the paper industry, either globally or in Indonesia. Recognized as high-risk due to its reliance on large machinery and hazardous chemicals, the paper industry has been understudied in this context. This research addresses the gap by developing a safety climate model tailored to the Indonesian paper industry, following a rigorous methodology that included a literature review, model design, validation processes, and Goodness-of-Fit testing. The study identified nine dimensions and 36 initial indicators, with strong content validity confirmed through Aiken’s V index, and refined through a survey of 313 employees—including managers, supervisors, and operators—at a paper factory in West Java, Indonesia. Confirmatory factor analysis (CFA) led to the final model, comprising nine dimensions and 32 validated indicators, achieving excellent fit across key criteria. These dimensions include management commitment, safety environment, safety communication, safety involvement, safety rules and procedures, safety training, safety competence, work pressure, and local wisdom. The validated model offers valuable insights into safety practices, providing a practical framework for improving safety performance in the Indonesian paper industry. By fostering a proactive safety culture and addressing sector-specific risks, this model has the potential to significantly reduce workplace accidents and improve overall safety performance, marking an important advancement in industry-specific safety research
Systematic Review of Kansei Engineering Method Developments in the Design Field
Full text linkKansei engineering is a critical method for designing products that meet functionality, usability, and pleasurability, essential elements for business success. Despite its significance, there is limited understanding of how this method has evolved in recent years. This study aims to analyze the development of Kansei Engineering research from 2018 to 2022 using the Scopus database. The research methodology involved stages of identification, screening, filtering, and inclusion, resulting in 41 articles for detailed analysis out of an initial 215. The results indicate that 85% of Kansei Engineering research focuses on tangible products, with 83% categorized as type 1 studies, and 56% not integrating other methods. Additionally, 88% of the studies use only Kansei words, and 41% visualize design results as 3D images, with 95% not considering unique aspects. is dominance of tangible product design and the lack of integration with other methods suggest a need for diversification in research approaches. Furthermore, the high reliance on Kansei words and 3D visualizations points to a potential area for innovation and expansion in research techniques. This review highlights a significant research gap in Kansei Engineering studies, emphasizing the need for more diversified approaches. By identifying these gaps, the study provides a clear direction for future research, recommending that Kansei Engineering should explore beyond the predominant trends and consider integrating with other methods and unique aspects. This can enhance the method's application in industrial engineering and lead to more comprehensive and innovative product designs. Future research should aim to fill these gaps, ensuring that Kansei Engineering continues to evolve and contribute effectively to the field of product design and development
Enhancing Operations for Sustainability in Indonesian SMEs through Climate Change Awareness and Business Orientation
Full text linkThis study aims to identify the level of climate change awareness among small-medium scale entrepreneurs (SMEs) and to investigate its impact on future business orientation, with individual self-perception acting as a mediating variable. Addressing a significant gap in the literature, this research explores the reciprocal influence between SMEs and climate change—an area previously underexplored. Conducted in West Sumatra, Indonesia, this study employs a quantitative causal analysis approach using Structural Equation Modelling-Partial Least Squares (SEM-PLS) for robust analysis. The findings indicate that while awareness and self-perception of climate change among SMEs are low, they significantly influence potential changes in business orientation. The study reveals that although many SMEs possess a high level of educational attainment, this does not necessarily translate into heightened awareness or self-perception regarding climate change. This disconnect underscores the critical role of tailored educational initiatives and support systems to bridge the gap between knowledge and action. Additionally, the study finds that SMEs often prioritize immediate financial stability over long-term environmental sustainability, driven by the necessity to meet daily operational demands. These results underscore the urgent need for pre-emptive government policies to guide SMEs toward sustainable practices. Effective interventions should include financial incentives, technical assistance, and educational programs designed to enhance climate change awareness and capabilities among SMEs. Furthermore, this study contributes to the field of industrial engineering by identifying opportunities to optimize SME operations. By integrating environmental sustainability into business strategies, SMEs can enhance their resilience and competitiveness while contributing to broader environmental goals. This research advances the understanding of the dynamic interplay between SMEs and climate change, providing a foundation for future studies aimed at promoting sustainable industrial practices
Authorship Correction: Application of the Total Productive Maintenance to Increase the Overall Value of Equipment Effectiveness on Ventilator
Full text linkA ventilator machine is a medical device that plays an important role in handling Covid-19 cases during a pandemic. Covid 19 patients are arriving at a referral hospital in Jakarta, meaning that the hospital must prepare its medical equipment, including a ventilator machine. The ventilator machine experienced problems because the efficiency of the machine decreased so many patients waited in the ICU room. Machine effectiveness has an average value of 62.26% so it has an impact on disrupting patient services at home. The purpose of this research is to look for factors that cause the lack of effective value of ventilator machines and find effective solutions to increase the effectiveness of ventilator machines so that they can serve Covid-19 patients during a pandemic. This research method combines Focus Group Discussion in determining 5W+1H and implementing the pillars of Total Productive Maintenance to improve the Overall Effectiveness of Equipment on Ventilator machines. This study found a breakdown factor of 54.10%, idle and minor loss of 41.20%, and others of 4.70%. The effect of overall improvement has been able to increase the average effectiveness value by 85.00% from Sep 2021-Feb 2022, so this is supported by the hospital's program in terms of increasing the effectiveness of machines in patient care