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Logistic and Operation Management Research
Published by Research Synergy Foundation
ISSN : 28303334     EISSN : 28302680     DOI : https://doi.org/10.31098/lomr
Core Subject : Science,
Decision Sciences, Operations Research & Management
Logistic and Operation Management Research (LOMR) is an original journal established for researchers and scholarly-oriented practitioners in the fields of logistics, supply chain, and operation management. The editors and editorial board members sought to provide a professional and peer-reviewed journal providing an international forum for scientific advancement, intellectual exchange, and scholarly communications. The journal publishes quickly-refereed research articles and other scholarly contributions, including reviews and short notes, in an open-access format, making them free to readers around the world.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Strategi dan Menejemen
Articles 43 Documents
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Optimization of Work Posture at PT. XYZ: Analysis of the Rapid Entire Body Assessment (REBA) Method to Improve Health and Productivity Panjaitan, Nismah; Silitonga, Niken Kristin; Lubis, Juni Arta; Faris, Muhammad Zaky
Logistic and Operation Management Research (LOMR) Vol. 3 No. 2 (2024): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v3i2.2773

Abstract

The study at PT. Fenyen Agro Lestari identified poor work postures that affect worker health and productivity. Using the REBA method, the boiler department had the highest risk (score 11), followed by the maintenance (score 6) and Laboratory (score 4). Immediate ergonomic improvements are recommended to reduce musculoskeletal disorders (MSDs).  The purpose of this research is to analyze the impact of poor working posture on workers' musculoskeletal health in various departments of PT. Fenyen Agro Lestari, Indonesia and recommend ergonomic improvements to reduce the risk of MSDs. The methodology involves REBA for postural assessment, collecting musculoskeletal complaints via questionnaires, and analyzing data to recommend ergonomic improvements. The findings revealed that poor postures cause significant musculoskeletal disorders, especially in the Boiler department, highlighting the need for ergonomic improvements. This study is novel in that it applies the Rapid Entire Body Assessment (REBA) method to a specific context within PT. Fenyen Agro Lestari, provides tailored ergonomic recommendations for multiple departments and addresses gaps in existing research on posture-related musculoskeletal disorders in the industry. The study’s limitations include a focus on only three departments, potential observer bias, and reliance on subjective questionnaire data, which may not fully capture all musculoskeletal issues or account for variations in individual worker experiences.
Red-Green-Blue (RGB) Image Classification Using Deep Learning To Predict Sugarcane Crop Age Pawar, Swati. P.; Pawar, Prashant. M.; Deshmukh, Bhagyashri M.
Logistic and Operation Management Research (LOMR) Vol. 3 No. 2 (2024): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v3i2.2774

Abstract

Traditional sugarcane growth monitoring methods are time-consuming and error-prone. This study investigated the use of deep learning to automate and enhance the accuracy of sugarcane growth stage classification. The study develops deep learning-based system that leverages high-resolution drone imagery for precise sugarcane age classification, thereby enabling accurate identification of the growth stages. High-resolution drone images were captured at various stages of sugarcane growth and were stitched together to form a comprehensive dataset. Segmentation of isolated areas of interest for analysis. The ResNet-50 deep learning model, enhanced with an additional fully connected layer, was used to classify the growth stages. The model was trained on cropped image sections, and its performance was compared to other deep learning architectures, such as GoogLeNet and VGG, to evaluate its accuracy. The ResNet-50 model outperformed other architectures, achieving 91% accuracy in classifying growth stages, demonstrating its effectiveness in agricultural image analysis and its potential to advance precision agriculture. This study is the first to apply deep learning to sugarcane age classification using high-resolution drone imagery, and it sets a new benchmark for agricultural image analysis. The dataset containing drone images from specific sugarcane fields may limit the model’s generalizability to different regions and environmental conditions.
The Effect of Power Outages on Small- and Medium-sized Enterprises in South Africa Saah, Paul; Mbohwa, Charles
Logistic and Operation Management Research (LOMR) Vol. 3 No. 2 (2024): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v3i2.2775

Abstract

The frequent power outages in South Africa have had a detrimental impact on the nation’s economy overall and on small and medium-sized enterprises in particular. The goal of this study is to determine how load shedding affects small- and medium-sized enterprises (SMEs) in South Africa. The research design pinpoints practical ways to reduce the negative effects of power outages on these companies. This study adopts a quantitative research approach. Fifty SME owners and managers from the Mahikeng local municipality were selected to represent the entire country using a descriptive single cross-sectional design and a non-probability convenience sample technique. The Statistical Package for the Social Sciences (SPSS), Version 27.0, was used to evaluate the collected data. The findings of the study indicate that load shedding has caused significant operational problems for South African small enterprises since 2008. As a result, to maintain output, many companies have had to make adaptations, including establishing backup power solutions and moving to manual labor. SMEs continue to face significant challenges because of the high cost of backup systems, the increase in criminal activity during blackouts, and the requirement for open and positive customer relations, despite efforts to mitigate these consequences. The present study underscores the criticality of SMEs’ investments in crime prevention strategies and dependable backup power systems in Mafikeng and throughout South Africa to mitigate the adverse impacts of ongoing load shedding on commercial operations and economic stability. It is underlined that maintaining client confidence and ensuring continued business performance despite these challenges requires effective customer relationship management.
Tool Wear Monitoring in Hard Turning Using Sensor Fusion: An analytical approach Kene, Amarjit; Tamboli, Dipti; Patel, Rajni; Ronge, Pooja
Logistic and Operation Management Research (LOMR) Vol. 3 No. 2 (2024): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v3i2.2799

Abstract

At present, the life expectancy of tool has become a vital aspect in the manufacturing industries, especially where materials with high hardness have more importance. Nowadays hard steel has been widely used for manufacturing of commercial parts in military aircrafts, car systems and hydraulic tools, etc. Manufacturing industries, mainly concentrates on mass production of the products with precision and accuracy. In such cases the continuous machining may weaken the tool causing tool wear which ultimately affects the quality with production rate. To avoid such an unwanted scenario, different tool wear prediction techniques have been introduced which uses cutting force signals or average chip-tool interface temperature or surface roughness signals, etc. According to the literature, different techniques are available for the pre-judgment of the tool wear that shows variation in the accuracy of prediction. Sensor fusion technique can be employed to overcome this problem by combining data from different sensors intelligently to improve the process. Sensor fusion uses this combined data to correct deficiencies of individual sensors and predict the tool wear accurately which compensate for the sudden breakage of the tool in real life applications. In this paper, a new approach of tool wear prediction has been introduced to correlate different available sensor by using sensor fusion technique. Also, a mathematical approach has been derived for the sensor fusion purpose. The experimentation has been carried out using coated carbide inserts on 55 HRC hardened steel.
Assessing the Status and Challenges of Sole Proprietor Garment Businesses: Insights for Operational Enhancement Estebal, Ma. Elena C.; Natividad, Merlina B.
Logistic and Operation Management Research (LOMR) Vol. 3 No. 2 (2024): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v3i2.2801

Abstract

A sole proprietorship is without a doubt, the simplest form of business organization. Garment business on the other hand is considered as one of the most popular ventures among women entrepreneurs in the Philippines. This study aimed to determine the status, issues and concerns of sole garment business in Taguig City to serve as basis for a proposal towards enhanced operations. It also attempted to determine the issues and concerns encountered in women entrepreneurs and their employees in the course of running the business. The descriptive method of research was used and it involved twelve (12) proprietors and fifty (50) employees as respondents. The data were analyzed and interpreted using the frequency, percentage, weighted mean and t-test. Results revealed that the respondents strongly agree on objective of the sole garment business, personnel, capital investments, operations requirements, wages and benefits, and supply of raw materials as vital factors for enhanced operations of sole garment business. The null hypothesis that there is no significant difference between the perceptions of the proprietors and employees on the status of sole garment business was accepted when it came to personnel, capital investments, operations requirements and wages and benefits. However, such null hypothesis was rejected when it came to objectives, raw materials supply, and equipment. As to issues and concerns encountered in sole garment business, the need for technologically advanced equipment came first, management style was ranked second, keeping up with fast fashion trend came in third while supply of raw materials was ranked fourth and inadequacy of business capitals came in the fifth rank.
Advancing Sugarcane Farm Management Through NDVI-Based Color Mapping and Drone Imaging Pawar, Meenakshi. M.; Pawar, Mukund. M.; Pawar, Pranav M.; Deshmukh, Bhagyashri M.
Logistic and Operation Management Research (LOMR) Vol. 3 No. 2 (2024): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v3i2.2824

Abstract

Precision agriculture has emerged as a key strategy for boosting crop productivity and optimizing resource use. This study leverages advanced imaging and machine learning to enhance the management of sugarcane farms. Using drones, high-resolution RGB images of sugarcane fields are captured and transformed into multispectral images through a Generative Adversarial Network (GAN), revealing critical spectral data for plant health assessment. The Normalized Difference Vegetation Index (NDVI) is derived from these multispectral images and serves as a vital measure of vegetation health. This NDVI data, combined with farmer-reported yield information, creates a comprehensive dataset linking NDVI values to actual crop yields. To predict sugarcane yield from NDVI values, we trained a feedforward neural network on this integrated dataset. The proposed method not only enhances prediction accuracy but also provides valuable insights into the connection between NDVI metrics and crop performance. The model was validated using individual field images, enabling precise yield predictions for different field sections. This study highlights the effectiveness of integrating drone imagery, machine learning, and remote sensing in precision agriculture. The combination of NDVI data with yield information provides a robust tool for optimizing sugarcane production, improving farm management decisions, and advancing agricultural sustainability.
Correlation Between Assembling to Order and Customer Satisfaction in the South African Automobile Supply Chain Industry Feussi, Polycarpe; Mbohwa, Charles
Logistic and Operation Management Research (LOMR) Vol. 4 No. 1 (2025): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v4i1.2988

Abstract

Supply chain postponement research has mainly focused on inventory management and lead time. The South African car industry is vital for the economy, driving job creation and economic development, thus addressing social issues such as inequality, unemployment, and crime. It is essential to meet client needs and proactively plan for sector growth, as this will create new job opportunities, drive economic progress, and improve the overall quality of life. This study investigates the relationship between assembly and order (ATO) and customer satisfaction in the South African automobile supply chain. Through the administration of a cross-sectional survey incorporating closed-ended questions, we obtained quantitative data from a sample of 375 individuals working at automobile dealerships. This data was then analyzed to evaluate the hypothesis that the ATO strategy can enhance customer satisfaction. Embracing this research is not just beneficial; it is a necessary step toward elevating service quality and fostering industry advancement. The findings revealed that customer input through the process could potentially improve customer satisfaction by improving five service quality variables, namely the tangibles: responsiveness, empathy, assurance, and reliability. Key stakeholders in this supply chain segment must prioritize enhancing customer relationship management and gaining deeper insights into end customers. Using the customer decoupling point with assembly-to-order (ATO) processes, along with targeted marketing and thorough market research, can achieve this goal. Focusing on customer satisfaction fosters loyalty, leading to more efficient marketing and superior relationship tactics, ultimately boosting the South African automobile industry’s market share and positively impacting job preservation and creation.
Redesigning Work: A Student-Learning Initiative for Safer and Smarter Ergonomic Carts Avila, Sharmaine M; Arago, Ryan F; Dellova, Rovena I; Fonollera, Eldrick M; Lare, Marry Sol L
Logistic and Operation Management Research (LOMR) Vol. 4 No. 1 (2025): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v4i1.3042

Abstract

Ergonomic carts improve safety, reduce strain, and enhance efficiency, but their real-world impact remains unseen. This service-learning initiative, driven by students, aims to assess the impact of ergonomic carts on comfort, usability, and musculoskeletal disorders, providing insights to refine user-centered designs and improve operational outcomes. An exploratory sequential mixed-methods approach using purposive sampling was employed to gather data from 14 qualified beneficiaries.  The study evaluated key aspects such as productivity, carts’ durability, and ergonomic benefits, and how these features influence the overall user experience. Data were analyzed using weighted mean and standard deviation while maintaining ethical standards. Most respondents were women, aged 41-60, highlighting the cart's relevance for age-related impairments. Daily use indicated ergonomic benefits, improved productivity, time management, and comfort, with high durability and adaptability scores. The cart reduced musculoskeletal pain, improved posture, and decreased fatigue. Participants also noted cost savings, reduced waste, and improved community organization. The study’s scope was limited to specific demographic groups, suggesting the need for broader future research. This study highlights the importance of ergonomic interventions in workplace tools and advocates for user-centered designs that enhance well-being and productivity. To address Sustainable Development Goals 1, 3, 8, and 12, this study promotes inclusive economic growth, healthier work environments, and sustainable practices.
Food Stall Operations Practices in a Province-Based Food Park in the Philippines Briones, Jesus P; De Mesa, Fides C; Gamalando, Mildred D; Seco, Eric G; Verano, Joanna Paula E
Logistic and Operation Management Research (LOMR) Vol. 4 No. 1 (2025): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v4i1.3063

Abstract

Food parks have been on the rise for several years, offering small business owners an opportunity to cater to consumers’ diverse food preferences. This study assessed food stall operations practices in a province-based food park in the Philippines. Using a quantitative-descriptive research design, the study examined the operational practices and challenges of 76 food stall businesses located in the subject food park. A self-structured questionnaire in Google Forms was distributed online to the respondents via a group chat set up by the food park operator. Data analysis included frequency distribution, percentage, weighted mean, and multiple regression. Findings revealed that food stall operators effectively practiced strategies in operation management and revenue generation, customer engagement and regulatory compliance, while financial planning and sustainability, and competitive market positioning were areas that needed improvement. Moreover, respondents experienced moderate operational challenges, highlighting the need for effective strategies to address such challenges. Additionally, a strong correlation between location and mobility and operational challenges in terms of regulatory compliance was revealed, underscoring the importance of strategic location in reducing operational barriers for the survival of food stall businesses. However, other food stall operations practices were not significantly related to operational challenges. In light of these findings, the study proposed strategies to boost profitability, operational efficiency, and resilience in food stall businesses, emphasizing the importance of strategic planning and best practices for the success and development of the food park industry.
The Effect of Epoxy Resin on the Compressive Strength of Short Laminated Bamboo Columns Darwis, Zulmahdi; Basuki, Achmad; Bhayusukma, Muhammad Yani; Kristiawan, S A; Abdurahman, Javil Egi Pratama; Ilhami, Muhammad Adha
Logistic and Operation Management Research (LOMR) Vol. 4 No. 1 (2025): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v4i1.3179

Abstract

The ongoing depletion of global timber resources has increasingly directed attention toward bamboo as a viable and sustainable structural alternative. This study investigated the influence of epoxy resin coatings on the compressive performance of short laminated bamboo columns. Three treatment conditions were evaluated: untreated (control), epoxy resin-coated, and externally reinforced with steel plates. The test specimens, manufactured using Dendrocalamus asper, were subjected to axial compression by SNI 03-3959:1995. Before testing, the physical and mechanical properties of both bamboo and steel reinforcement materials were characterized. Experimental results indicated that epoxy coating enhanced the average compressive strength by 2.54%, whereas steel plate reinforcement yielded a more substantial increase of 9.94% relative to the control group. One-way ANOVA analysis confirmed that only the steel-reinforced group demonstrated a statistically significant improvement in compressive capacity (p < 0.05). The observed failure modes revealed that the untreated and epoxy-coated specimens were prone to surface cracking and adhesive delamination, whereas the steel-reinforced columns exhibited a more localized damage with reduced deformation. It was concluded that although epoxy resin provided a modest enhancement, applying steel reinforcement significantly improved the axial load-bearing capacity of laminated bamboo columns. These findings underscore the structural potential of hybrid bamboo composites for sustainable construction applications.

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