Logistics Service Providers Research Articles

Các yếu tố tác động đến sự hài lòng của doanh nghiệp đối với cảng điện tử khu vực Đông Nam Bộ: Tích hợp các mô hình Hệ thống thông tin thành công và Chấp nhận công nghệ

Vietnamese seaports are strongly applying digital technology in business activities, attracting stakeholders in the transportation supply chain to participate, creating a competitive advantage in the international market; However, there is not much research on electronic ports (ePort). The article identifies factors affecting businesses' satisfaction with ePorts in the Southeast region through the integration of Information Systems Success and Technology Acceptance Models. The research model has been validated through PLS SEM testing results from 220 respondents who are ePort users including: shipping lines, domestic transport, logistics service providers, and import-export companies. The empirical results provide significant positive impacts between the factors system quality, service quality, information quality, perceived usefulness, perceived ease of use and satisfaction with ePort. The empirical evidence and discussion presented in the study will help ePorts’ manager improve and utilize the full potential of ePorts as a useful tool towards transparency and efficiency in the port clearance process of imported and exported cargoes.

A Modular IoT-Based Architecture for Logistics Service Performance Assessment and Real-Time Scheduling towards a Synchromodal Transport System

Logistics is significantly impacted by quality/quantity issues associated with data collection and data sharing restrictions. Nonetheless, public data from national entities and internet-of-things (IoT) solutions enable the development of integrated tools for performance analysis and real-time optimization of logistics networks. This study proposes a three-module data-driven system architecture that covers (a) logistics data collection tools, (b) logistics services performance evaluation, and (c) the transition to synchromodal systems. Module 1 integrates multisource data from national logistics platforms and embedded devices placed within intermodal containers. A multigraph representation of the problem is conceived. Environmental, economic, and operational data are generated and injected into a digital twin. Thus, key performance indicators (KPIs) are computed by simulation or direct transformation of the collected data. Module 2 uses Multi-directional Efficiency Analysis, an optimization algorithm that benchmarks multimodal transportation routes of containers using prior KPIs. Outputs are a technical performance index relevant to logistics clients and improvement measures for logistics service providers. A real case study application of the solution proposed for Module 2 is presented. Module 3 provides real-time scheduling and assignment models using CP-sat solvers, accommodating varying system dynamics and resource availability, minimizing makespan and operational costs.

Freshness-keeping effort vs. sustainability: an efficient approach for perishable supply chain system

Last few decades, unwanted climate change and global warming have forced us to think about the world environment. This paper investigates a perishable supply chain system consisting of one manufacturer, one third-party logistics service provider, and multiple retailers. The logistics provider and retailers use cooling technologies to maintain the product's freshness. Here, consumers' demand is evaluated from the utility function based on price, freshness, and sustainability level. The environmental impacts of the system are measured from the amount of energy consumption and carbon emission. Also, the supply chain members are taking their decisions in cooperation, non-cooperation, and coordination decision scenarios to maximise their profit and reduce total environmental impacts. We develop a general model and a particular model under different decision scenarios. The optimal sustainability level, price, and freshness-keeping-effort (FKE) are derived using the Stackelberg game theory. A numerical experiment as well as sensitivity analyses of various important parameters are conducted. It explores that (i) FKEs have more impact than the sustainability level for the consumption of perishable products. (ii) The retailer-leadership scenario is the most effective for reducing carbon emissions and energy consumption whereas the cooperative decision scenario is better for maintaining the freshness level.

Synchromodal transport re-planning: an agent-based simulation approach

In the rapidly evolving global marketplace, the logistics sector faces a multitude of challenges that demand implementation of more resilient solutions to respond to any future disturbance. Synchromodal transport, which is viewed as an extension of multimodal transport, is known as a key answer to this issue, as it provides more flexible and sustainable freight transport and also focuses on collaboration between different logistics players. We consider synchromodal transport as a collection of agents that not only have their own characteristics and behaviors, but also interact with each other, which impacts the entire system. In this paper, we study the system using an Agent-Based Modeling approach. The network represents the combination of long-haul and drayage transport, where pre-haulage and end-haulage are done only by truck, and the rest can be done by trucks, trains, or barges. A numerical experiment is conducted to evaluate cost savings and emissions reduction under different logistics service providers’ relation and re-routing scenarios. Our findings show that synchromodal scenarios are more economically and environmentally efficient, and that they lead to higher flexibility and reliability compared to business-as-usual scenarios. Additionally, our model verifies that the cost saving is considerable when logistics service providers collaborate with each other. The results of sensitivity analyses show consistent overall trends when comparing the different scenarios. Therefore, the conclusions drawn from the original experiment appear to be applicable, not only for that specific instance, but have broader relevance and applicability.

Safety risk and operational efficiency on logistic service providers’ sustainable coal supply chain management

Safety risk and operational efficiency in sustainable coal supply was an issue in the coal distribution supply chain. An online survey evaluating safety hazards, operational effectiveness, logistic service providers, and sustainable supply chain management was completed by 89 consumers of coal logistic service providers. In contrast, this study aimed to evaluate the operational effectiveness and safety concerns of a sustainable coal supply chain managed by the logistic service providers on the Barito River. In addition to using path analysis, quantitative research methods were also applied to calculate and process the questionnaire data, producing a value that determined the weight of each vendor, criterion, and sub-criterion. It showed several positive and significant influences connected to the safety of sustainable supply chain management, the operational efficiency of logistic service providers, supply chain management, and security risks for the providers. Therefore, it was essential to unite the positive influences on the logistic flow to secure the coal supply chain activities on the Barito River. This research would have theoretical and practical applications, adding to the advancement of science through its applications. Such knowledge would affect the safety risk and operational efficiency of sustainable supply chain management through the logistic service providers on the Barito River, Central Kalimantan.

Extension of an agent-based simulation for the optimized allocation of freight requests to differently structured supply chains

The paper deals with the extension of the logistics simulation within an agent-based simulation framework to be able to consider the delivery across several supply chains. The logistics simulation is placed in the context of the underlying freight transportation simulation. The use of multiple possible logistics chains addresses a key limitation of previous studies. Logistics chains represent the various transportation options of a Logistic Service Provider (LSP) and are made up of resources such as depots, logistics hubs and carriers that the logistics service provider can commission. When implementing the new functionality, the existing flow of the simulation process must be considered. In particular, changes need to be made to the assignment of freight requests to logistics chains, the iterative optimization of this assignment and scheduling. Appropriate assignment methods and rescheduling strategies are developed and presented. These innovations reveal compatibility problems within the existing simulation framework. The functionality developed is presented in constructed scenarios, highlighting the advantages of using multiple logistics chains. In addition, the applicability is demonstrated in a comprehensive real scenario that includes the delivery of supermarkets.

Conceptual Model of Supply Chain Resilience on Logistics Service Providers (People, Profit, Product and Planet)

Conceptual Model of Supply Chain Resilience on Logistics Service Providers (People, Profit, Product and Planet)

Automation in logistics port and freight transport with blockchain technology

According to World Economic Forum the COVID-19 crisis exposed the vulnerabilities in global supply chains. One notable impact was in shipping rates, as transport ground to a halt and a worldwide backlog of containers built up in ports around the world. Another was a dramatic increase in the number of people shopping online as measures to safeguard public health meant that many were confined to their homes. Logistics service providers were forced to get creative and identify means of mitigating costs while maintaining the speed and quality of service.Within the commodity supply chain, there are many stakeholders, each with their own set of platforms and methods. Multiple versions of the same document can inundate end-users, especially if they need to enter one set of data in multiple places. These circumstances open up loopholes for fraudulent or malicious activity in the supply chain. Logistics suppliers are fragmenting their operations in response to this shift, spreading out their processes to minimize concentration risk and the disruption caused by events like geopolitical tension or a pandemic.Using a world production growth function the contribution of the Logistics Performance Index(LPI) components of 133 countries has been estimated for the period 2007-2018 through the econometric method of panel data with fixed effects.Blockchain Technology can guarantee transparency and quality, and automation where Smart Contracts can be written and often reused between different entities and a set of agreements that can automatically take effect after a period or condition is met.The content of the paper reflects the results of research conducted on the contribution of logistics port and freight transport with which we can solve inefficiencies in the ease of arranging international shipments at competitive prices with Blockchain to get Automation of whole supply chain with ports nodes.

The Effects of Supply Chain Disruptions on Logistics Service Providers: Evidence from Ghana during the COVID-19 pandemic

The Effects of Supply Chain Disruptions on Logistics Service Providers: Evidence from Ghana during the COVID-19 pandemic

Shared Logistics - A clash with reality: Results of a survey conducted on the Polish market of Logistics Service Providers

Shared logistics (SL) is an increasingly critical solution to the challenges of urban logistics, particularly in the context of limited resources, the energy crisis, and environmental concerns. This study investigates the adoption of shared logistics among logistics service providers in Poland. While SL is considered a promising strategy for addressing challenges such as resource scarcity and environmental concerns, only 27.4% of surveyed companies reported using it. Results suggest that small and micro-sized companies are more reluctant to adopt shared logistics, and education and awareness-raising efforts may be necessary to promote its adoption. The study provides valuable insights into the current and potential usage of SL in Poland as well as identifying barriers to its adoption and potential opportunities for promoting its use.

Coordinating principal-agent and incentive strategy of cold chain logistics service in fresh food supply chain.

With the increasing production and circulation of fresh food, society's requirements for product quality have also increased. Currently, upstream and downstream enterprises in the fresh food supply chain tend to delegate the cold chain transportation of fresh food to third-party cold chain logistics (CCL) service providers who offer more professional integrated preservation services. This study adopts coordination theory to research the delegation, coordination, and incentive strategies between a Fresh Food Producer, Distributor, and CCL Service Provider. The aim is to promote the efforts of the CCL Service Provider in improving freshness and achieving the overall optimal interests of the fresh food supply chain. First, the basic models of the Fresh Food Producer and Distributor individually entrusting the CCL Service Provider are established under different information conditions. Second, a collaborative delegation agency model between the Fresh Food Producer and Distributor is established on top of the basic models. Finally, through the optimal decision solutions under different information conditions and numerical calculations of preservation benefit levels, the following conclusions are drawn: (1) The more transparent and open the information environment, the more it can encourage the CCL Service Provider to improve the quality of their preservation services, allowing the Fresh Food Producer and Distributor to obtain more significant preservation benefits. However, when information is completely transparent, the incentive mechanisms formulated by the Fresh Food Producer and Distributor become ineffective. (2) Collaborative cooperation strategies can encourage the CCL Service Provider to enhance their preservation efforts while strengthening the effectiveness of relevant incentive strategies for the Fresh Food Producer and Distributor.

ДЕЯТЕЛЬНОСТЬ ЛОГИСТИЧЕСКОГО ПРОВАЙДЕРА ПО ОПТИМИЗАЦИИ МАТЕРИАЛЬНЫХ ПОТОКОВ ПРЕДПРИЯТИЯ

The article is devoted to the problems of the logistics provider’s activity as a participant in the enterprise supply chain, which optimizes the aggregate of material flows of the enterprise due to the effective management of the client’s logistics activity. The development of industry 4.0 technologies inspires the introduction of information and communication technologies in the activities of logistics service providers. Digitalization of logistics activities is especially relevant for logistics providers, which, in modern conditions, should form a logistics ecosystem that includes a set of participants from various supply chains. A logistics provider actively uses information and communication technologies in the process of managing the material flows of an enterprise. In particular, these are blockchain technologies, artificial intelligence, the Internet of Things, and cloud technology solutions.

Decision-making and sub-coordination in a newsvendor model with a third party logistics service provider

Decision-making and sub-coordination in a newsvendor model with a third party logistics service provider

Performance Evaluation and Explainability of Last-Mile Delivery

The demand for last-mile delivery (LMD) services worldwide increased following online sales growth, so better methods to assess efficiency issues are paramount. This work explores a data-driven approach to evaluate LMD services and inform logistics service providers about possible improvement directions. It uses multi-directional efficiency analysis to benchmark LMD services based on process variables, such as delivery time and service cost. Then, by fitting machine learning models and using explainability algorithms with new metrics, characterizes factors that influence LMD performance. Early discussions with experts show that the approach produces understandable and integrable results that generate valuable insights, e.g., regarding the impact of each variable on service quality informing the direction for further improvement action.

Logistics service governance in the digital economy: The dynamics of price war strategies in a developing country

In the context of the burgeoning digital economy, logistics service providers find themselves at a pivotal crossroads, particularly within developing countries where the market dynamics are rapidly evolving (Chin et al., 2023; Richey et al., 2023). This study delves into the price war phenomenon within the parcel service industry of Thailand and scrutinizes the implications of this competitive strategy. Using a quantitative research approach, this study collected data through an online questionnaire from a convenience sample of 405 participants in Thailand. The data underwent extensive analysis, employing both descriptive statistics to outline basic characteristics and multivariate analysis of variance (MANOVA). The study’s results highlighted the considerable influence of multiple factors — gender, age, education, socioeconomic status, income, residential location, logistics capabilities, and access to information — on the formulation and implementation of price war strategies within the market. These insights have the potential to provide valuable guidance to business proprietors, policymakers, and a spectrum of stakeholders. By implementing the recommendations and lessons gleaned from this research, these stakeholders can collectively contribute to the growth of a vibrant and efficient parcel delivery ecosystem, subsequently enhancing overall business competitiveness and elevating service quality for consumers in the continually evolving global marketplace.

Research on information collaboration strategy of fresh agricultural products supply chain under carbon cap-and-trade

The information coordination of fresh agricultural products supply chain is conducive to improving the overall efficiency and competitiveness of the supply chain, and reducing carbon emissions. Under the carbon cap-and-trade policy, this paper constructed an evolutionary game model of supply chain information collaboration involving a fresh agricultural products supplier, a cold chain logistics service provider and a fresh agricultural products retailer, explored the selection of information collaboration strategies of each subject, and simulated it with system dynamics. The results show that: The stability strategy of the game system is related to the initial willingness of each subject. When any two parties participate in information collaboration, the other party will also choose to participate in collaboration. In addition, the choice of information collaboration strategy of the subject is also related to the collaborative planning ability, collaborative strategy formulation ability, consumers’ preference, the initial cost of each subject, revenue sharing and cost sharing mechanism, government subsidies, government regulation and carbon cap-and-trade policy. It is worth noting that the collaborative planning capability is more conducive to promoting the subject to choose information collaborative strategy than the collaborative strategy formulation capability; the carbon trading price has a greater impact on the subject’s participation in collaboration, while the total amount of carbon quota has no impact on the choice of the subject’s information collaboration strategy. Furthermore, based on the research results, the corresponding management suggestions are put forward from the two aspects of the government and the participants.

Comparative analysis of novel fuzzy multi-criteria decision-making methods for selecting fourth-party logistics service providers: a case study in the plastic resin industry

Comparative analysis of novel fuzzy multi-criteria decision-making methods for selecting fourth-party logistics service providers: a case study in the plastic resin industry

The Process of Cultural Alignment Within a Multicultural Context: The Case of ERP System Deployment across Europe and Africa

Culture plays a vital role in the acceptance and effective utilization of information technologies. As a value-laden artefact, information technology (IT), such an Enterprise Resource Planning (ERP) system, is likely to introduce a counterculture in conflict with the implementing organization. Yet, how cultural alignment between IT and the implementing organization develops over time in a multicultural context is unknown. This research presents a dynamic process of cultural alignment, outlining the steps and events that lead to the alignment of cultural issues between an ERP system and the adopting organization at national, sectoral, organizational and group levels. Drawing on a longitudinal case study of a logistics service provider’s ERP system deployment across France, Italy, Morocco and Tunisia, this study shows that cultural alignment involves four key steps – requirement analysis, ERP selection, cultural misfit resolution and user testing – that are strongly influenced by technical, operational and organizational constraints. Our findings contribute to the understanding of the dynamic and intricate nature of the cultural alignment process, involving both the organization and technology.

Comparative Analysis of Novel Fuzzy Multi-Criteria Decision Making Methods for Selecting Forth-Party Logistics Service Providers: A Case Study in Plastic Resin Industry.

Comparative Analysis of Novel Fuzzy Multi-Criteria Decision Making Methods for Selecting Forth-Party Logistics Service Providers: A Case Study in Plastic Resin Industry.

중국 온라인 쇼핑 반품물류의 서비스품질이 소비자 만족도, 신뢰도 및 재사용의도에 미치는 영향에 관한 연구

This study focuses on analyzing the impact of reverse logistics service quality in China’s online shopping on consumer satisfaction, trust, and intention to reuse the service. A survey was conducted on 284 participants in China who have experience using online shopping reverse logistics services. Data was analyzed using SPSS and AMOS. The research results indicated that factors such as personnel quality, information quality, order quality, and timeliness had a significant positive impact on consumer satisfaction and trust. Additionally, consumer satisfaction and trust were found to have a significant positive influence on the reuse intention. Specifically, information quality had the greatest impact, followed by order quality, personnel quality, and timeliness. In conclusion, the quality of reverse logistics services in online shopping plays an important role in affecting consumer satisfaction, trust, and intention to reuse the service. These insights are expected to assist logistics service providers in improving their service quality, thereby enhancing their market competitiveness. Moreover, although timeliness had a relatively smaller impact, its importance cannot be ignored, suggesting that future research is needed on consumers’ ‘time sensitivity’ with respect to reverse logistics