Logistics Operations Research Articles

Indonesia's National Defense Resilience during Covid-19: Key Lessons

The COVID-19 pandemic tested national defense systems worldwide, including Indonesia's. This research aims to evaluate the resilience of Indonesia's National Defense System amid the global health crisis, focusing on the effectiveness of the Indonesian National Armed Forces (TNI) in managing logistical challenges, key factors influencing interagency coordination, and the role of technological innovation. Utilizing a qualitative research method based on secondary data, the study analyzes reports, government documents, and academic literature to gather comprehensive insights. Findings reveal that the TNI effectively utilized its disaster response experience to establish robust logistical operations, despite facing supply chain disruptions and geographical challenges. Effective interagency coordination was facilitated by clear roles, communication channels, and collaborative efforts, although bureaucratic hurdles occasionally hindered efficiency. Technological innovations, including digital surveillance, data management, and secure communication platforms, significantly enhanced operational effectiveness and resilience. This research offers a novel perspective by integrating multiple facets of the defense response, highlighting the interplay between logistics, coordination, and technology. The insights gained can inform strategies to strengthen national defense capabilities in future crises.

Exploring the role of blockchain technology, warehouse automation, smart routing, and cloud computing in logistics performance

ABSTRACT Recently, there has been a heightened emphasis on employing smart technologies for evaluating logistics performance, and hence we have considered four key technologies, namely blockchain technology (BT), warehouse automation (WA), smart routing (SR), and cloud computing (CC), and measured their aggregate impacts on logistics performance. We have considered these four technologies as exogenous constructs, and the logistics performance factors as endogenous constructs. First, we generate 23 items or indicators under those technologies and measure their loadings to determine how strongly they are linked to each technology. Next, we determine how strongly technologies are linked to logistics performance factors. Finally, we test our theoretical model using partial least squares structured equation modeling (PLS-SEM). Our findings confirm that the constructs and indicators in our theoretical framework meet the criteria, supported by PLS-SEM results and fit indices. This study advances logistics theory by highlighting smart technology adoption in practice and supporting institutional theory.

A nomogram predicting intraoperative adverse events during minimally invasive radical nephrectomy and thrombectomy.

To define the incidence and independent predictive factors of intraoperative adverse events (IOAEs) after minimally invasive radical nephrectomy and thrombectomy (RNAT) and to determine the impact of intraoperative adverse events on oncological outcomes. A total of 294 patients underwent minimally invasive RNAT from January 2010 to December 2023 in our center were included. IOAEs are defined as any deviation from the normal surgical procedure during the operation course. Multivariate logistic regression analysis was performed to identify the independent predictive factors of IOAEs. The Kaplan-Meier curves was used to compare overall survival and cancer-specific survival between patients with IOAEs or not. Seventy-four IOAEs occurred in 57 of 294 patients (19.4%) and the most frequent IOAEs were conversion to open surgery (42/74, 56.7%), followed by excessive hemorrhage (20/74, 27.0%). In multivariate logistic analysis, side (OR 0.0929; 95%Cl 0.0367-0.2160; p < 0.001), operation approach (OR 0.1762; 95%Cl 0.06828-0.4109; p < 0.001), and Mayo grade (OR 6.321; 95%Cl 3.846-11.13; p < 0.001) were independent predictive predictors of IOAEs during minimally invasive RNAT. IOAEs (OR 2.713; 95%Cl 1.242-5.897; p = 0.012) was an independent risk factor of the occurrence of postoperative complications. Between the patients with IOAEs or not, neither overall survival (OS) nor cancer-specific survival (CSS) showed statistical differences. Patients with postoperative complications show shorter OS and CSS. We found that the independent predictive factors of minimally invasive RNATwere side, operation approach and Mayo grade, and it is a risk factor of the occurrence of postoperative complications. In addition, the occurrence of IOAEs had no effect on long-term oncological outcomes.

Predictive algorithms for supply chain management: a comprehensive approach to forecasting delivery times and managing risk

The article delves into the challenges of delivery time management in today's business landscape. The authors underscore the need for precise delivery time forecasts, a key factor in maintaining a competitive edge and meeting customer expectations. They outline various methods for estimating the time of a selected commodity based on historical data, and stress the necessity of modern tools that can adapt to the intricate web of factors influencing delivery times and facilitate swift responses to changes. The following article presents an innovative delivery time forecasting application that integrates advanced predictive algorithms with historical data, current data, and external factors affecting the delivery process. The application was developed to provide more accurate delivery time forecasts and optimize logistics processes. Through advanced technologies, it can consider even the most complex scenarios and changes, allowing companies to plan and manage their logistics operations more effectively.

Investigating Rural Logistics and Transportation through the Lens of Quadruple Bottom Line Sustainability

Background: An alternative to unsustainable urban developments, rural living is on the rise, but it already has its challenges. To that end, rural logistics and transportation (RLT) calls for a comprehensive analysis of its context, especially in a climate-changed and socially turbulent world. Unlike urban logistics, there is limited focus on RLT in academic literature. However, rural areas’ lack of transportation and limited logistics operations negatively affect rural residents’ daily lives, especially socially disadvantaged groups such as older people, children, women, and low-income households. Methods: This study first identifies the key literature on RLT and sustainability using a systematic literature review. Then, it synthesizes from the extant literature the challenges in RLT and proposed solutions to understand how to improve accessibility and address some barriers to implementation, all through the perspective of quadruple bottom line (QBL) sustainability pillars. Results: The lack of opportunities presented to rural residents due to limited RLT leads to inequality between rural and urban populations, requiring academic attention. Moreover, despite the growing emphasis on sustainability in academic literature, there is a noticeable lack of attention to sustainability in RLT. Conclusions: This study leads policymakers toward a better understanding of rural communities’ complexities, directs practitioners to adopt the QBL perspective in decision-making, and aims to stipulate innovative RLT topics for further research for academicians.

Enhancing firm information competencies: Impacts on information sharing and logistics performance

This study redefines information power and informational justice as information competencies drawing upon information-related theories. Furthermore, it investigates their impact on information sharing and logistics performance within inter-firm relationships in the supply chain context. To analyze their correlations and causal relationships, a survey was conducted with employees working in departments associated with supply chain management (SCM) in South Korea. A total of 300 copies of the questionnaire were used in statistical analysis, and a structural equation model was used for hypothesis testing. The findings indicate that both information power and informational justice exert a significant positive influence on information sharing. Moreover, information sharing significantly enhances logistics performance, serving as an outcome variable. This study integrates concepts related to information into a single framework called information competencies, while also redefining the role of information sharing. Inputs for academic scalability and practical implications for supply chain participants are discussed.

Role and applications of advanced digital technologies in achieving sustainability in multimodal logistics operations: A systematic literature review

Integration of advanced digital technologies along with ensuring environmental sustainability in the logistics sector is becoming the need of the hour novel multimodal transportation concept. The rapid technological development in the era of industry 4.0 can not only create new opportunities in achieving highly efficient, intelligent, and smart logistics systems but also enable new business models for value addition, additionally, this novel system will also avoid environmental degradation and use of scarce natural resources that contribute to climate change. This paper summarizes the research trends of these technologies in multimodal logistics systems since 2005 through a systematic literature review. The results revealed a mixed picture of the situation, starting from emerging technologies like artificial intelligence, machine learning, and blockchain becoming key technological concepts for multimodal logistics systems to government policy hurdles and lack of impact breakthroughs in the industry. However, the results show that adaptation to these technologies improves the overall environmental, economic, and social sustainability of the system.

The impact of international logistics performance on import and export trade: an empirical case of the “Belt and Road” initiative countries

As an important foundation of cargo transportation, logistics plays a vital role in developing international trade. Based on the international logistics performance index (LPI) and the sample data of the “Belt and Road” initiative countries from 2011 to 2022, this paper uses the extended trade gravity model to explore the impact of the logistics performance of the “Belt and Road” initiative countries on China’s import and export trade. The empirical results show that the improvement of the logistics performance level of the countries along the “Belt and Road” Initiative has a certain role in promoting the growth of China’s trade volume to the country, and the improvement of LPI has a more significant positive impact on China’s import and export to large-scale countries along the route. Finally, according to the analysis of empirical results, this paper puts forward specific suggestions to promote the development of logistics performance and import and export trade, which provides some reference value for implementing the “Belt and Road” initiative and improving national logistics and trade level.

Integrated packing and routing: A model and its solutions

This paper introduces the two-level vehicle routing and loading problem (2L-VRLP), an innovative model integrating the two-level bin packing and vehicle routing problems to address real-world logistics challenges that require simultaneous packing and transportation decisions. By capturing the essence of dual-level packing (boxes onto pallets, pallets onto vehicles) and optimising vehicle routing, the 2L-VRLP offers an integrated framework that outperforms traditional separated models, demonstrating superior solutions that align closely with practical logistics operations. We propose a set of heuristic algorithms tailored for the 2L-VRLP’s unique requirements and explore automated algorithm selection using an artificial neural network (ANN), marking a step towards incorporating machine learning in logistics optimisation. This work not only showcases the 2L-VRLP model’s potential to enhance logistics management but also sets the groundwork for future research and applications in this domain.

Enhancing Logistics Operations Quality for Improved Business Efficiency: A Structural Equation Modeling Approach in Manufacturing Enterprises in Northern Vietnam

The research aims to examine the relationship between the quality of logistics activities and business efficiency in manufacturing enterprises in the Northern region of Vietnam. The study selects five component factors of logistics activities including Internal Logistics, Inbound Logistics, Outbound Logistics, Support Logistics, and Logistics Costs to assess the impact of these factors on the Logistics Operation Quality and Business Effective. Primary data is collected from survey results, with 173 valid questionnaires. The study employs a Structural Equation Modeling (SEM) approach, processing data using SPSS 24 and AMOS 24 software. The research findings indicate that factors related to well-organized logistics activities all have a positive influence on the quality of logistics activities. Among these factors, the quality of Inbound Logistics has the greatest impact on the quality of logistics activities. Additionally, the quality of logistics activities positively affects the business efficiency of enterprises. Managerial implications and future research directions are also discussed.

Sistem Informasi Logistik PT. Atri Distribusindo Banda Aceh

The utilization of information technology at PT. Atri Distribusindo Banda Aceh is still limited, particularly in logistics management, which is conducted manually. This situation complicates administrative processes, leading to delays and a high risk of errors in inventory management. To address these issues, this study develops a computerized logistics information system using the prototyping method, PHP, and MySQL. The prototyping approach allows for iterative feedback during system development, ensuring the system meets operational needs more effectively. The system is designed to enhance data accuracy and improve workflow efficiency in logistics operations. Based on observations and analysis, the logistics information system is expected to provide accurate and timely information, ultimately supporting better decision-making within PT. Atri Distribusindo Banda Aceh.

Supply Chain System Optimization Model for Logistics Enterprises in the Internet of Things Era Based on Improved ECC Algorithm

In this article, a new method to optimize the supply chain system (SCS) of logistics companies in the era of Internet of Things (IoT) using an improved elliptic curve cryptography (ECC) algorithm was put forward.The focus of this research was to address the challenges faced by logistics organizations in adapting to the complexity of modern supply chains and meeting the growing demands of customers. The research aimed to improve the efficiency, security and reliability of supply chain management systems by utilizing advances in ECC algorithms.By conducting comprehensive performance tests of the proposed system, including interface testing, joggle testing, and system response time analysis, the study demonstrated the superiority of the system over traditional systems. The research findings indicated that the system based on the improved ECC algorithm outperformed traditional systems in terms of interface effectiveness, usability, and system response time. The improved ECC algorithm enhanced the security of the encryption process, making it more resistant to unauthorized access, and improved the system’s overall data processing load capacity. Additionally, the system demonstrated superior performance in managing logistics data and information, facilitating better decision-making and efficiency in logistics operations. Overall, this research contributes to the advancement of supply chain management in the IoT era by providing a practical and efficient solution for logistics enterprises to optimize their supply chain systems. The innovative application of the improved ECC algorithm offers a secure, reliable, and efficient approach to managing logistics operations, addressing the challenges posed by the complexities of modern supply chains.

Planning the customer service process of a logistics company based on implementing green technologies

The peculiarities of planning environmentally oriented customer service for a logistics company based on implementing "green" technologies are discussed in the article. It has been researched that planning is an integral part of the successful management of any company, especially in the logistics sector, where customer satisfaction and operational efficiency are key factors. Under modern conditions, to respond to customer requests, logistics companies must take into account the impact of their activities on the environment and implement appropriate methods to minimize the negative impact on the environment, and accordingly, the process of planning customer service in a logistics company should include an environmental component. Given this, the importance of integrating environmental factors and business processes at each stage of planning to ensure sustainable development of a logistics company based on forming a cyclic approach to planning environmentally oriented customer service is substantiated. The method of iterative planning that allows a logistics company not only to improve the quality of customer service but also to integrate environmental practices into its activities, which meets the modern requirements of sustainable development and social responsibility of business has been established. The developed model of environmentally-oriented planning of customer service combines business processes of logistics service and "green" technologies, transforms the operational efficiency of a logistics company in the context of sustainable development, substantiates the integration of environmentally sustainable solutions at all stages of the logistics chain - from initial planning to the final delivery of goods to consumers. To support the proposed model, the implementation of Power-to-X technology is recommended, which allows the conversion of excess renewable energy into energy specifically for logistics and transportation purposes. The implementation of this measure enables the logistics company to reduce emissions and increase energy efficiency, to form a comprehensive approach to the development and integration of environmentally friendly technologies in the company's logistics operations to increase efficiency and competitiveness. It is emphasized that the proposed model demonstrates a comprehensive approach to building a highly efficient and at the same time environmentally sustainable logistics system of the company by integrating innovative "green" technologies.

Outsourcing Supply Logistics for Health Commodities in Africa

Abstract: Outsourcing of health-commodity supplies to third-party logistics providers is one of the ways of reducing costs and/or improving service levels in the public sector. This paper evaluates three forms of outsourcing: full outsourcing of inventory management, partial outsourcing of specific activities, and contingent partial outsourcing of specific logistics activities. It notes that, in Africa, contracting-out supply logistics has mostly taken the form of partial outsourcing of transportation only or storage and transportation of specific health commodities to all or selected geographical regions. Partial outsourcing offers limited benefits since it cannot provide adequate pressures on public-sector logistics to be efficient or maintain uninterrupted supplies in times of catastrophes. Improvements in logistics performance achieved through partial outsourcing should not mask the need for more expansive arrangements that support not only partial outsourcing but also full outsourcing in situations of inefficiency and in times of supply-disruption catastrophe.

A PURPOSE CONCEPTUAL FRAMEWORK TO EXAMINE THE CORRELATON OF LOGISTICS SERVICE QUALITY, LOGISTICS PERFORMANCE &amp; COMPETITIVE ADVANTAGE OF LOGISTICS SERVICE PROVIDERS IN THAILAND

The logistics service offers a crucial role in the process of developing into the worldwide market. Several nations must enhance their logistics service operations to achieve strong performance and attain a competitive edge in the market. Logistics service quality is a crucial element in Thailand's logistics operations. It is a major feature in developing a new conceptual model for logistics service performance, which is essential for achieving competitiveness in the logistics sector. The aim of this study is to investigate the relationship between the framework of logistics service quality, logistics performance and competitive advantage of logistics service provider (LSPs) firms in Thailand. This study utilizes primary data and applies a quantitative methodology, involving the collecting and analysis of research data using a strategy that emphasizes quantification. The sample will be LSPs companies in Thailand. The future data in this study will be analyzed using the statistical software packages SPSS and Smart PLS. Partial least squares structural equation modelling (PLS-SEM) is a statistical method employed for data analysis, with the primary goal of enhancing the research model. Thus, the study presents a conceptual framework that suggests that enhancing service quality can improve the logistics performance and competitive advantage of the logistics service provider business in Thailand.

The integration of dynamic value stream mapping and cost time profile method for optimizing offshore drilling logistic base operations

The research aims to analyze the integration of Dynamic Value Stream Mapping (DVMM) and Cost Time Profile (CT-profile) method for optimizing offshore drilling logistic base operations. The novelty of the research is the implementation of DVMM and CT-profile that implemented in monitoring system INTACTS (Integrated Dynamic value stream mapping and Cost time profile for shore base operation) which is directly connected to shore base material movement recording system. Each successful lift performed in JIT mode will be recorded and its characteristics studied so that it can be applied to other material lifting operations. This research uses data on the lifting operation on July - December 2020. The new method is applied in a logistic system for drilling activity. The research shows that DVSM is suitable to be applied for logistics in off shore base problems since the job and situation are very dynamics.

Revolutionizing logistics: The impact of autonomous vehicles on supply chain efficiency

This review paper assesses the impact of autonomous vehicles (AVs) on enhancing the efficiency of supply chains, aiming to synthesize existing research and identify future research directions. Through a comprehensive analysis of literature spanning technological, economic, and regulatory perspectives, this paper maps the current landscape of AV integration in logistics. The review finds that AVs offer substantial improvements in supply chain efficiency through continuous operation and reduced human error, leading to decreased costs and improved delivery timelines. It details the potential for up to 30% enhancement in logistical operations with AV adoption. Critical barriers such as technological challenges, regulatory concerns, and cybersecurity risks are also discussed. Conclusively, the paper argues that while AVs present a promising avenue for revolutionizing supply chain management, their widespread adoption depends on overcoming existing barriers. It calls for targeted research into robust AV systems, supportive policy frameworks, and stakeholder engagement strategies to fully realize their benefits.

Exploring the Modification Effect of Corporate Governance on the Relationship Between Good Governance and Logistics Performance

Exploring the Modification Effect of Corporate Governance on the Relationship Between Good Governance and Logistics Performance

A Multi-Sensing IoT System for MiC Module Monitoring during Logistics and Operation Phases.

Modular integrated construction (MiC) is now widely adopted by industry and governments. However, its fragile and delicate logistics are still a concern for impeding project performance. MiC logistic operations involve rigorous multimode transportation, loading-unloading, and stacking during storage. Such processes may induce latent and intrinsic damage to the module. This damage causes safety hazards during assembly and deteriorates the module's structural health during the building use phase. Also, additional inspection and repairs before assembly cause uncertainties and can delay the whole supply chain. Therefore, continuous monitoring of the module's structural response during MiC logistics and the building use phase is vital. An IoT-based multi-sensing system is developed, integrating an accelerometer, gyroscope, and strain sensors to measure the module's structural response. The compact, portable, wireless sensing devices are designed to be easily installed on modules during the logistics and building use phases. The system is tested and calibrated to ensure its accuracy and efficiency. Then, a detailed field experiment is demonstrated to assess the damage, safety, and structural health during MiC logistic operations. The demonstrated damage assessment methods highlight the application for decision-makers to identify the module's structural condition before it arrives on site and proactively avoid any supply chain disruption. The developed sensing system is directly helpful for the industry in monitoring MiC logistics and module structural health during the use phase. The system enables the researchers to investigate and improve logistic strategies and module design by accessing detailed insights into the dynamics of MiC logistic operations.

Carrusel Colaborativo: Grupo Nutresa

By the year 2005, the meat business sector formed by “Rica Rondo S.A.”, “Industria Nacional de Alimentos S.A.”, “Suizo S.A.”,” Zenú S.A.”, and “Almacenes La 14 S.A.” started a new strategic alliance aiming to increase their supply chain efficiency, a strategy they named “Collaborative Carousel”. Their main goal was to improve delivery times, reception and assortment of of brands such as: “Zenú”, “Rica Rondo”, and “Suizo” in the ten “Alma - cenes La 14 S.A.” stores, looking forward to ensure the best service for the final consumer. The result of this experience helped generate a collective knowledged, which allowed everyone to identify improvement opportunities in their logistics operations. This article presents a success story based on the application of the principle of collaboration in last mile processes. The methodology used corresponds to the narrative case method, presents the business evolution of several businesses, accounts for the success of the collaborative carousel type articulation process (step by step), which links resources, actors, interests, culture, and results.