Logistics System Research Articles

Spatial Analysis of Informal Recyclable Station System for Integration to Formal Solid Waste Management System and Circular Economy–Proposing Integrated Methodology of GIS, Remote Sensing, and Statistical Learning

AbstractRecently, the transition to the circular economy has become environmentally and economically urgent for every single nation in the world. Closing the loops of material is one of the key ideas behind the foundation of a circular economy (CE). The informal recyclable stations (IRSs) within the solid waste management (SWM) system play an important role as the reversed logistic system, being in charge of collecting and trading recyclable solid waste. This study aimed to comprehend the spatial nature of the system of IRSs in Danang city, Hue city, and Hoi An city as representative sites for the whole of central Vietnam and the nation. The integration of geographic information system (GIS), remote sensing, and statistical learning was performed to clarify spatial characteristics and dynamics of the system of IRSs as well as combat status of limitations of available data in developing countries. Results denoted that the system of IRSs was distributed in close proximity to transportation systems and residential areas with low vegetation coverage. Coverage ratios of the system of IRSs did not strongly fluctuate in case the number of IRSs decreased by 80% regarding the 3500 m distance covered. Negative binomial regression proved to be the most congruent model for understanding the prevalence of IRSs in central Vietnam. Population and normalized difference vegetation index were statistically related to prevalence of IRS. While linear regression depicted balance between variance and bias, support vector machine would be applied if prioritized aim is model performance. The results of this study are a scientific base for the management of the IRS system and the integration of this system into a formal SWM system as well as the transition to a CE.

Predictive analysis of fuel oil consumption in vessels: interpretable modelling with emphasis on load conditions

ABSTRACT Fuel oil consumption (FOC) in vessels is influenced by various factors, with vessel load conditions being a critical determinant. This research aimed to develop an interpretable regression-based machine learning model, specifically an XGBoost Regressor, to predict FOC, and leveraged the analysis with Explainable Artificial Intelligence (XAI) techniques to enhance transparency and understanding of the factors affecting FOC in maritime operations. Hyperparameter tuning optimized model parameters, achieving a high R-squared (R2) value of 0.99. XAI methods clarified how operational (e.g., speed, load, draft) and environmental factors (e.g., wind, wave, current, sea state) contribute to FOC increases. As a result, operational factors, notably average draft, exerted a substantial influence, with an average draft of 18.425 m resulting in a significant increase in predicted FOC to 1,729.40 kg/h during the laden condition, compared to the base value of 1,496.82 kg/h. Additionally, environmental factors, particularly Relative Wind Angle, significantly impacted FOC prediction, with a Mean Absolute SHAP Value of 11.97 kg/h, notably higher than in ballast (2.59 kg/h) and empty (2.85 kg/h) conditions. These findings emphasize the importance of tailored fuel efficiency strategies, as operational and environmental factors may vary in their impact across different loading conditions. ‘This article is a revised and expanded version of a paper entitled “Predictive Analysis of Fuel Oil Consumption in Vessels: Interpretable Modeling with Emphasis on Load Conditions” presented at The 11th International Conference on Logistics and Maritime Systems (LOGMS 2023) on 6 September 2023 at the Busan Port International Exhibition & Convention Center (BPEX)’

Integrated logistics and election performance: a systematic literature review

ABSTRACT Elections are typically seen through the lens of political frameworks, overlooking the profound impact of logistics on election performance. Through a systematic literature review, this study explores the integral role of logistics in election performance. It highlights the links between logistics functionality performance and perceptions of electoral integrity. The findings reveal that as prerequisites, elections require specialised logistics systems integrated with inclusive I.T. and the human side to ensure dependability, increased visibility and security during the transportation and warehousing of sensitive electoral materials throughout election cycles. The findings identify distinct challenges faced by developed and developing countries, particularly concerning reverse logistics, warehousing, transport networks, distribution planning and technological infrastructure, suggesting the need for tailored logistics strategies based on national development status. Finally, the study emphasises the imperative involvement of logistics experts to ensure the effective integration of logistics functions within elections, oversight and the strategic development of an election logistics field.

Design and Development of a Next-Gen Private Transportation & Logistics System for Efficient Urban Delivery Solutions

Design and Development of a Next-Gen Private Transportation & Logistics System for Efficient Urban Delivery Solutions

AVALIAÇÃO DA RESPONSABILIDADE COMPARTILHADA E DO PROCESSO DE LOGÍSTICA REVERSA EM UMA LOJA DE ASSISTÊNCIA TÉCNICA DE COMPUTADORES NO MUNICÍPIO DE ALTAMIRA – PA

Computers are electro-electronic devices widely used in today's society. Technological advancements result in these computerized devices becoming obsolete within a short period, prompting constant product replacement and, consequently, a growing issue of disposal. Inadequate disposal of Waste Electrical and Electronic Equipment (WEEE), including computers, laptops, and components, leads to negative impacts on the environment and human health. In this study, we assess the reverse logistics of computer and component waste in the municipality of Altamira-Pará, considering the shared responsibility among involved stakeholders, as established by the 2010 Law 12,305, which institutes the National Solid Waste Policy. The study adopts an exploratory and descriptive approach, collecting data through questionnaires and semi-structured interviews with users, IT technicians, and merchants. The results are derived from targeted questionnaires aimed at the primary audience: users/general public and IT technicians located in Altamira-PA. It becomes evident that these agents lack awareness of their involvement in computer reverse logistics. During semi-structured interviews with the manager of the technical assistance department and employees of an IT store, it is observed that there is a lack of incentives from the government to implement an adequate reverse logistics system for WEEEs. Sustainability indicators are employed to evaluate the WEEE management process of the studied store, confirming the influence of shared responsibility in waste management. Therefore, it is crucial to propose improvements in the reverse logistics system in the municipality.

Optimization of Material Flow and Product Allocation in Inter-Unit Operations: A Case Study of a Refrigerator Manufacturing Facility

Background: Logistics operations are integral to manufacturing systems, particularly in the transportation processes that occur not only between facilities and stakeholders but also between warehouses and workstations within a facility. The design of functional areas and allocating goods to appropriate zones within the warehouse management system (WMS) are critical activities that substantially influence the efficiency of manufacturing logistics operations. Methods: This study develops a mixed-integer programming (MIP) model to optimize material flow and product routing in manufacturing. The model identifies efficient pathways, assigns products to routes, and determines the required material-handling equipment. It is implemented in Python (3.11.5) using the Pyomo (6.7.3) package and the CBC solver (2.10.11), with sensitivity analysis performed on constraints and decision variables to evaluate robustness. Results: The findings indicate that Material Flow 3 and Material-Handling Equipment 1 represent the optimal configurations for managing the majority of goods within the manufacturing system. Conclusions: The proposed mathematical model supports the decision-making process by enabling adjustments to the proportions of functional areas within the manufacturing logistics system, ensuring operational efficiency and flexibility in response to changing demands. Furthermore, the study offers managerial insights and suggests directions for future research.

Monte-Carlo analysis model for evaluation of container terminal parameters

This paper considers using Monte-Carlo analysis method for evaluation some of the parameters of a container terminal. A high amount of scientific work on this topic is noted in domestic literature. International scientific literature concerning usage of Monte-Carlo method for simulating different parameters of container terminals is also analyzed. We note that foreign authors often use Monte-Carlo analysis as an auxiliary method, for example, for checking results of discrete-event simulation model of a complicated logistical system for adequacy, whereas domestic authors often use Monte-Carlo analysis as a method for direct evaluation of container or other cargo terminals parameters. This study proposes a variant of a model for evaluating the necessary container yard capacity, its area and berth utilization of a container terminal, using Monte-Carlo analysis method. We develop a model based on analytical formulas, where some initial parameters take form of probabilistic distributions, rather than determined values. Such parameters are expected cargo turnover, vessel handling equipment productivity and container dwell times. It should be noted that all these parameters can be preliminarily evaluated by port designers, investors or cargo terminal operators. We show an example of model calculations using Monte-Carlo analysis method and some values of initial parameters. Observed results are adequate for a model of such scope as it shows, for example, that most expected value of berth utilization becomes lower as the number of berths becomes larger.

Assessment of the Impact of the Transport and Logistics System on Resource Efficiency, Key Regional Economic Indicators and Economic Sustainability

The objective of the study is to determine the degree of dependence between the regional transport and logistics system and the main regional economic indicators and their impact on resource-saving and the level of economic sustainability.The research methods are based on the use of a comparative analysis of approaches used to determine the characteristics of transport and logistics systems, retrospective, correlation and regression, morphological, abstract logical, theoretical and empirical, and structural analysis.The study has resulted in the analysis of approaches to defining and assessing transport and logistics system from the position of the spatial location of transport and logistics infrastructure facilities in the context of their impact on spatial organisation of productive forces; a retrospective, comparative and correlation and regression analysis of indicators characterising the regional transport and logistics system, economic indicators of GRP and retail turnover; evaluation of the analytical dependence of the region’s economic indicators on the state of the regional transport and logistics system; rationale of the dependence of the level of economic sustainability and resource-saving on the development of the transport and logistics infrastructure.The results of the study may be used to determine the level of influence of the transport and logistics system on regional economic indicators of various industries, which are indicators of their economic sustainability within the framework of the adopted regional strategy for planning the spatial distribution of transport and logistics infrastructure facilities.

Application Status and Development Trend of Intelligent Storage Based on Digital Twin Technology

In recent years, with the economic development and scientific and technological progress, industrial automation technology in the production process is more and more widely used, especially the development of computer technology makes it become an important part of industrial production automation. In this context, the concept of "intelligent warehousing" has also been put forward. Intelligent warehousing is a process that integrates all kinds of intelligent equipment into the logistics system by using modern information and communication technology, to realize supply chain management and improve the efficiency of the logistics system. It mainly includes logistics system software, network equipment, sensors, control software, and intelligent hardware.

Fuzzy permutation time irreversibility for nonequilibrium analysis of complex system

Permutation time irreversibility is an important method to quantify the nonequilibrium characteristics; however, ordinal pattern is a coarse-graining alternative and cannot accurately represent detailed structural information. In this paper, a fuzzy permutation time irreversibility (fpTIR) is proposed by measuring the difference among vector elements based on a negative exponential function. Amplitude permutation of vector is constructed and its membership degree is calculated, then the probability distribution difference of the forward and backward sequences is measured for fpTIR. As a comparison, Shannon entropy is calculated as the average amount of information in the fuzzy permutation probability distribution, i.e., fuzzy permutation entropy (fPEn), to measure the complexity of the system. According to the surrogate theory, mode series are generated by logistic, Henon, and first-order autoregressive systems to verify the fpTIR, which is then applied to analyze heart rates of congestive heart failure, healthy elderly and healthy young subjects from PhysioNet database. Results suggest that fpTIR effectively measures the nonequilibrium characteristic of system and improves the accuracy of heart rate analysis. Since fpTIR and fPEn are different in analyzing probability distributions, they have discrepancies in chaotic series and even opposite results in the heart rate signals, where the results of fpTIR are consistent with theory of complexity loss in aging and disease. In conclusion, fpTIR not only accurately characterizes the structure of sequences and enhances the effect of the nonequilibrium analysis of complex systems, but also provides a new perspective and theoretical basis for exploring complex systems from the perspectives of nonequilibrium dynamics and entropy complexity.

Integrating Logistics and Information Systems in Urban Waste Management: The Road to a Sustainable Smart City

Abstract The integration of logistics and information systems in urban waste management is a key step towards building sustainable smart cities. In the context of increasing urbanisation and environmental challenges, cities are forced to look for more efficient solutions for waste management. This paper explores how the interconnection of logistics and modern information technology can optimize waste collection, sorting and recycling processes, reduce operational costs and minimize negative environmental impacts. Using smart sensors, monitoring systems and analytical tools, it is possible to improve the planning of waste collection routes and predict the needs of different areas. The result is greater efficiency in urban waste management, leading to reduced landfill waste production and better use of recyclable materials. This article also highlights the need for coordinated cooperation between the public and private sectors, as well as the importance of a legislative framework that promotes technological innovation and environmental sustainability. Integrating these solutions into the infrastructure of modern cities contributes to their transition towards sustainable and smart urban ecosystems.

Research on the Construction of Provincial Rural Postal and Delivery Logistics Systems from the Perspective of Policy Instruments

Research on the Construction of Provincial Rural Postal and Delivery Logistics Systems from the Perspective of Policy Instruments

Guidelines for logistics system and supply chain management for environment in industrial busines

Guidelines for logistics system and supply chain management for environment in industrial busines

Analysis of a methodology for simulating a port logistics system to evaluate rail capacity in bulk ports

Analysis of a methodology for simulating a port logistics system to evaluate rail capacity in bulk ports

The role of public and private partnership to develop green logistics systems. A case of SMEs in Ho Chi Minh City

The role of public and private partnership to develop green logistics systems. A case of SMEs in Ho Chi Minh City

The Impact of the Expansion of Cross-border E-commerce on the Structural Changes in the Global Logistics System

The Impact of the Expansion of Cross-border E-commerce on the Structural Changes in the Global Logistics System

Interaction between Information Logistics Flows in the Industrial System and the External E-Logistics Chain

In this report we look at the one of the most important and rapid evolving business aspects such as the E-Logistics and its interaction with the Information Flows, used in the industrial systems. The goal is to define the correct structure, the right place for the interaction, as well as the basics of building complete logistics system and its interaction with the information flows in the frame of the organization.

DIGITALIZATION OF ECONOMIC AND LOGISTICS SYSTEMS: CREATION AND IMPLEMENTATION OF A CLUSTER HUB

The study includes an analysis of the theoretical aspects of digitization, definition of the concept of the cluster hubs, as well as consideration of the possibilities of their implementation to increase competitiveness and optimization of logistics processes. The article analyzes the modern interpretation of definitions common in the economic scientific environment: digitization, a systematic approach to the study and implementation of digitization advantages in practical activities, digitization of economic and logistics systems as separate categories and their interconnection in one structural component, the logistics hub; the introduction into the economic use of the term «cluster hub» for the logistics complex is substantiated and the option of its creation for Ukraine is proposed, taking into account the current military situation in the country and the post-war revival of its economy. The impact of the modern military and related crisis in the economy of Ukraine on business entities as a consequence of russia’s military aggression is substantiated, which requires the search for new ways of exiting the country’s economy from the current situation. It was determined that the development of the post-war economy of Ukraine cannot occur as a change of the individual subjects, but only in a holistic system of such development, where economic and logistical connections can be managed only in its (system) composition. The system is regulated by modern IT technologies, business process models, information communications, etc. It was determined that the movement of large volumes of goods in the modern wartime, and in the near future in the postwar period, is not possible by conventional means. The previously regulated logistic ways of movement do not correspond to the situation, therefore the use of the latest tools, methods, methods of digitization and IT technologies are important ways of solving the issues. The directions of the digitalization system solution to the problem of delivery, movement of goods, in particular, the creation of a logistics hub (including a cluster hub) that will contribute to the combination of elements of the economic and logistics system are identified: the creation of such a hub on the basis of the airport near the city of Vinnytsia.

Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster

Optimization of a two-stage emergency logistics system considering public psychological risk perception under earthquake disaster

An Analysis on Enhancing Last Mile Delivery Efficiency in the Field of E-Commerce Logistics at Gati Allcargo In Madnayakanahalli Bangalore

The rapid growth of e-commerce has led to an increased demand for efficient logistics systems, with particular emphasis on enhancing last-mile delivery (LMD) efficiency. Last-mile delivery is the final leg of the supply chain, where goods are delivered from a distribution center to the end consumer. This phase is crucial in ensuring timely deliveries, cost-effectiveness, and overall customer satisfaction. Gati All Cargo, a leading logistics player in India, operates in a highly competitive market, especially in urban areas like Madnayakanahalli, Bangalore. This study investigates the challenges faced by Gati All Cargo in last-mile delivery and explores potential strategies to enhance delivery efficiency. The Analysis that I have used in the report is Chi square statistics test where by using the Primary data of the project like current efficiency of last mile delivery at the branch where its Efficient, very Efficient neutral in efficient and we have found that it rejects the Chi Square Statistics. challenges faced in last mile delivery for this also the same I have done Chi Square Statistics and it Rejects. Keywords: Last-mile delivery, e-commerce logistics, efficiency, route optimization.