Hasil untuk "Shipment of goods. Delivery of goods"

Danh-Nguyen Nguyen, Thi-Thuy Mac, Hong-Hai Hoang

Background: In the context of digital transformation and sustainable development, it is increasingly important to understand the relationship between Supply Chain Collaboration (SCC) and Green Supply Chain Management (GSCM). This study aims to clarify the convergence between the two sectors that play a pivotal role in modern supply chain management. Objectives: The objective of the study is to analyse research trends on SCC-GSCM, identify prominent authors, countries, journals, as well as core research topics and trends. Method: The study used bibliographic analysis based on 1724 articles published in the Scopus database in the period 2000–2023. Results: The results show that the convergence between SCC and GSCM increased markedly, especially in the period 2019–2023 with a compound annual growth rate (CAGR) of 19.57%. Four main thematic clusters were identified: (1) strategic collaboration in sustainable supply chains; (2) application of GSCM in the industrial sector; (3) environmental collaboration and supply chain performance; (4) digital transformation and expansion of SCC-GSCM. Conclusion: Technology 4.0 is identified as the main driving factor for the SCC-GSCM convergence process, contributing to building a smart cooperation model and optimising sustainable efficiency. Contribution: The study provides a data platform that guides further research, and provides practical implications for leveraging technology to promote collaboration and improve sustainable supply chain performance.

Rosalie Lin, Aditi Maheshwari, Jung Wook Park et al.

Fabric has been a fundamental part of human life for thousands of years, providing comfort, protection, and aesthetic expression. While modern advancements have enhanced fabric's functionality, it remains static and unchangeable, failing to adapt to our evolving body shapes and preferences. This lack of adaptability can lead to unsustainable practices, as consumers often buy more items to meet their changing needs. In this paper, we propose ExoFabric, a re-moldable fabric system for customized soft goods applications. We created ExoFabric by embedding thermoplastic threads into fabric through computerized embroidery to allow for tunability between rigid plastic and conformable fabric. We defined a library of design primitives to enable geometric formability, stiffness, and stretchability by identifying suitable fabrics, threads, embroidery parameters, and machine limitations. To facilitate practical applications, we demonstrated practical methods for linking parameters to application requirements, showcasing form-fitting wearables, structural support, and shape-changeable furniture for repeatable or one-time customization.

Sedat Baştuğ, Ersin Fırat Akgül, Hercules Haralambides et al.

Junzhi Gong, Yuliang Li, Devdeep Ray et al.

The packet delivery fairness is critical in many applications in the cloud, such as exchange systems, consensus protocols, and online gaming applications. However, due to nonidentical and dynamic packet forwarding paths, as well as many in-network queuing delays, supporting packet delivery fairness is challenging in a shared compute environment. In this paper, we present Octopus, the first general fair packet delivery service to achieve packet arrival time variations smaller than tens of nanoseconds, with the existence of latency variations in the network. The key ideas of Octopus to support such good fairness come from repurposing hardware traffic shaping capabilities in modern NICs, and deploying agents at local SmartNICs to minimize latency variations from packet forwarding. Evaluation results show that Octopus has less than 40 ns unfairness for up to 99.97\% multicast packets.

Xing Liu, François-Xavier Briol

Goodness-of-fit testing is often criticized for its lack of practical relevance: since ``all models are wrong'', the null hypothesis that the data conform to our model is ultimately always rejected as the sample size grows. Despite this, probabilistic models are still used extensively, raising the more pertinent question of whether the model is \emph{good enough} for the task at hand. This question can be formalized as a robust goodness-of-fit testing problem by asking whether the data were generated from a distribution that is a mild perturbation of the model. In this paper, we show that existing kernel goodness-of-fit tests are not robust under common notions of robustness including both qualitative and quantitative robustness. We further show that robustification techniques using tilted kernels, while effective in the parameter estimation literature, are not sufficient to ensure both types of robustness in the testing setting. To address this, we propose the first robust kernel goodness-of-fit test, which resolves this open problem by using kernel Stein discrepancy (KSD) balls. This framework encompasses many well-known perturbation models, such as Huber's contamination and density-band models.

Fábio Botler, Luiz Moreira, João Pedro de Souza

Given graphs $G$ and $H$, we say that $G$ is $H$-$good$ if the Ramsey number $R(G,H)$ equals the trivial lower bound $(|G| - 1)(χ(H) - 1) + σ(H)$, where $χ(H)$ denotes the usual chromatic number of $H$, and $σ(H)$ denotes the minimum size of a color class in a $χ(H)$-coloring of $H$. Pokrovskiy and Sudakov [Ramsey goodness of paths. Journal of Combinatorial Theory, Series B, 122:384-390, 2017.] proved that $P_n$ is $H$-good whenever $n\geq 4|H|$. In this paper, given $\varepsilon>0$, we show that if $H$ satisfy a special unbalance condition, then $P_n$ is $H$-good whenever $n \geq (2 + \varepsilon)|H|$. More specifically, we show that if $m_1,\ldots, m_k$ are such that $\varepsilon\cdot m_i \geq 2m_{i-1}^2$ for $2\leq i\leq k$, and $n \geq (2 + \varepsilon)(m_1 + \cdots + m_k)$, then $P_n$ is $K_{m_1,\ldots,m_k}$-good.

Mehran Farzadmehr, Valentin Carlan, Thierry Vanelslander

Abstract Today, several research/initiatives exist in AI technology at the port operation. They mainly focus on solution development in a particular port and shipping industry domain. This scattered implementation leads to an unstructured overview of the port sector regarding AI innovation in use. Equally, this study aims to structure this overview for aligning stakeholders and AI providers toward implementation. In doing so, the first step would be collecting the port stakeholders' insight regarding AI implementation. This study develops a structured framework to collect the port stakeholders’ insight through both desk and empirical research. Besides, an online survey is built based on the framework and sent to a target group of port stakeholders to collect their insight. The survey results show that a huge effort is needed to establish a structure for data exchange to increase the quality of data. Additionally, by highlighting the importance of data from specific stakeholders, developers can effectively convey the value proposition to these stakeholders. They can emphasize how utilizing this vital data can result in operational enhancements, cost reductions, improved decision-making, and competitive advantages. As an implication, alignment between port stakeholders and AI providers enhances the maturity level of the market in AI solutions by fostering collaboration, addressing industry-specific challenges, tailoring solutions, and garnering support for implementation.

Edson Mesquita dos Santos, Sofia de Sá Lopez

Os portos são estruturas sensíveis às mudanças climáticas, estando seus ativos, operações e sistemas sujeitos a diversos riscos. O Porto de Santos, por sua vez, experiencia elevação do nível do mar, chuvas e ventos que acarretam prejuízos como a ampliação do processo de dragagem e maior tempo de atracação nos terminais. O objetivo desse trabalho é estabelecer medidas de adaptação para enfrentamento dos impactos das alterações do clima no complexo, a partir da descrição da maneira com que as variações climáticas ocorrem, do apontamento de como elas afetam o porto e da avaliação de riscos locais. Assim, o desenvolvimento de um plano de adaptação baseado no guia feito pela PIANC mostrou diminuição nas perdas financeiras devido a vulnerabilidade do complexo e maior segurança nas operações

Eric Ahlqvist, Jeroen Hekking, Michele Pernice et al.

We develop a theory of good moduli spaces for derived Artin stacks, which naturally generalizes the classical theory of good moduli spaces introduced by Alper. As such, many of the fundamental results and properties regarding good moduli spaces for classical Artin stacks carry over to the derived context. In fact, under natural assumptions, often satisfied in practice, we show that the derived theory essentially reduces to the classical theory. As applications, we establish derived versions of the étale slice theorem for good moduli spaces and the partial desingularization procedure of good moduli spaces.

Yanbo Zhang, Yaojun Chen

Given two graphs $G_1$ and $G_2$, the Ramsey number $r(G_1,G_2)$ refers to the smallest positive integer $N$ such that any graph $G$ with $N$ vertices contains $G_1$ as a subgraph, or the complement of $G$ contains $G_2$ as a subgraph. A connected graph $H$ is said to be $p$-good if $r(K_p,H)=(p-1)(|H|-1)+1$. A generalized fan, denoted as $K_1+nH$, is formed by the disjoint union of $n$ copies of $H$ along with an additional vertex that is connected to each vertex of $nH$. Recently Chung and Lin proved that $K_1+nH$ is $p$-good for $n\ge cp\ell/|H|$, where $c\approx 52.456$ and $\ell=r(K_{p},H)$. They also posed the question of improving the lower bound of $n$ further so that $K_1+nH$ remains $p$-good. In this paper, we present three different methods to improve the range of $n$. First, we apply the Andrásfai-Erdős-Sós theorem to reduce $c$ from $52.456$ to $3$. Second, we utilize the approach established by Chen and Zhang to achieve a further reduction of $c$ to $2$. Lastly, we employ a new method to bring $c$ down to $1$. In addition, when $K_1+nH$ forms a fan graph $F_n$, we can further obtain a slightly more refined bound of $n$.

Kgosietsile F. Monnagaaratwe, Kenneth Mathu

Background: The adoption of supply chain management (SCM) strategy in the last four decades has transformed enterprises, prompting them to take a more customer-centric approach in their operations. Addressing the customer’s needs through coordinated SC networks is a competitive advantage for enterprises. The purpose of this study was to explore SCM as a competitive advantage for small and medium-sized enterprises (SMEs), specifically grocery stores in Mahikeng, South Africa. Research objectives: The investigation sought to explore the role of supply chain collaboration in enhancing constant flow of products for business continuity and cost-saving for SMEs from third-party logistics (3PL) transport optimisation, and it was discovered that the practice of reverse logistics by SMEs recovered value and reduced waste. Research methodology: A qualitative research method with descriptive design and a nonprobability sampling strategy was followed to conduct the study. The recorded interviews were transcribed, translated, coded and analysed via thematic data analysis to determine the outcome of the study. Results: The study established that SCM improved cost-effectiveness through cost-saving on shared (3PL) transportation between SMEs and improved efficiency through enhanced supplier–customer relationships by maintaining continuous flow of products and services. The optimisation of transportation, continuous flow of products and services and recovery of value through reverse logistics reduced waste and increased efficiency, which enhanced competitiveness and sustainability of the retailers. Conclusion: It is apparent that enterprises that streamlined operations through SCM also reduced waste, thereby enhancing competitiveness and sustainability. The findings indicated that owners and managers will understand the benefits of adopting SCM strategies.

Siyasanga Bangani, Osden Jokonya

Background: Digital transformation has significantly reinvented the systems and operations in the supply chain and logistics industries, enabling organisations within the industry to be able to deliver higher value to customers at a lower cost. Some of the technologies that have taken up the industry by the storm include contactless technologies such as radio frequency identification, near-field communication, mobile wallets, smart cards, touchless check-in and robots. Adoption of these technologies has grown exponentially since the coronavirus disease 2019 (COVID-19) outbreak, as organisations were forced to transform business operations from physical to digital. Objective: The study objective was to explore factors affecting the adoption of contactless technologies in the supply chain and logistics industry. The study has adopted the technological, organisational and environmental (TOE) framework to explore the technological, organisational and environmental factors affecting the adoption of contactless technologies in the industry. Method: The study adopted the quantitative content analysis research design and systematic literature review method to explore factors affecting contactless technologies adoption in the supply chain and logistics industry. Furthermore, a literature matrix was developed and used as an instrument to explore the TOE factors affecting the adoption. After the collection of data, findings were presented and analysed. Conclusion: The results suggest that technical (cost, value and security), organisational (change and management) and environmental factors (customer demand) affect contactless technologies adoption in the supply chain and logistics industry. The study contributes to the body of knowledge of factors affecting the adoption of contactless technologies in the supply chain and logistics.

Laura Casabella, Marco D'Anna

The class of good semigroups is a class of subsemigroups of $N^h$, that includes the value semigroups of rings associated to curve singularities and their blowups, and allows to study combinatorically the properties of these rings. In this paper we give a characterization of almost symmetric good subsemigroups of $N^h$, extending known results in numerical semigroup theory and in one-dimensional ring theory, and we apply these results to obtain new results on almost Gorenstein one-dimensional analytically unramified rings.

M. N. Prokofiev, M. Tokhirov

International transport corridors play a leading role in shaping an integrated global transport services market.In this context, the objective of the paper was to study the current state of North–South international transport corridor (hereinafter referred to as ITC), which connects India, Iran, the Gulf countries through the countries of the Caucasus and Central Asia with Russia and the countries of Europe. A brief review of scientific publications on the subject under consideration allows to draw a general conclusion from opinions of various authors: it is necessary not only to develop the transport corridor infrastructure, but also to solve organizational, regulatory and tariff issues. The main advantage of North–South ITC is that most of the route passes by land and the route itself is shorter than the sea route, providing thus significant acceleration of cargo delivery.As a result of development of the railway network in the Caspian region and Central Asia, today there are several options for the ITC route. The western route to Iran through Azerbaijan was examined in more detail. It is expected that the missing railway section Astara–Rasht will be completed in the nearest future. Test shipments of goods from India to Russia (and vice versa) have already been carried out via western route. The characteristics of the route options by transportation distance, delivery time and cost of cargo transportation are given. Today, cost of transportation along the western branch of ITC significantly exceeds cost of sea transportation through the Suez Canal. This and other factors, reducing the efficiency and competitiveness of transportation via ITC, it is proposed to first organize container transportation on ITC section between Russia, Azerbaijan, and Iran. Such transportations might be especially in demand for food products (including perishable goods) in direction from south to north. To this end, it is proposed to organize a scheduled container train service along Astara–Moscow–St. Petersburg route using new Freight Express 2.0 transportation technology.

Fahad AlRukaibi, Sharaf AlKheder, Nourah AlMashan

In any country, seaports present the window to the world, especially for the state of Kuwait, where the origin and development of this country was explicitly related to the existence of seaports. The strategic location of Kuwait has significantly helped the country to rely heavily on maritime trade for its economy. The main commercial port in Kuwait is Shuwaikh port, which currently faces many problems. These problems include traffic congestion on the internal roads and roads surrounding the port causing delays in the arrival of trucks loaded with goods as well as delays in the return of empty containers to the port. Additionally, container storage at Shuwaikh port is insufficient causing a significant reduction in the ship traffic over the last few years. This work aimed to establish a logistics city that supports the port of Shuwaikh and improves its performance. The logistics city also organizes the flow of trucks and provides an integrated environment to support many surrounding companies. This will increase port efficiency, trade mobility, storage capacity, competitiveness, reduce traffic congestion on the public streets by constructing special roads for trucks, reducing handling time and developing an international logistics center. Keywords: Port, Management, Logistics, Traffic, Kuwait

Bongani E. Mushanyuri, Bethuel S. Ngcamu

Background: Supply chain management (SCM) implementation in selected drought-stricken areas in Zimbabwe has been negatively influenced by the marginalisation of indigenous leaders and an intolerant political system. Objectives: This study examines the influence of culture and leadership attitudes, as well as the political, economic and legal framework, on the effectiveness of the humanitarian supply chain (HSC) during droughts in Zimbabwe. The effect of culture, leadership attitudes, and the political, economic and legal framework on HSC effectiveness in Zimbabwe has not been explored by researchers. Method: The study adopted a quantitative exploratory research design utilising the case study approach. The study sample consisted of 130 respondents comprising government and non-governmental organisation (NGO) officials whose primary responsibilities are drought disaster operations. Results: The study results revealed that the culture, leadership attitudes and political state did not positively influence the effectiveness of the HSC in Zimbabwe. In addition, the economic state and legal framework positively influenced the effectiveness of the HSC on drought management. Accordingly, the empirical results found that the existing legal framework positively influenced the effectiveness of the HSC. Furthermore, an association between educational background and work experience had an impact on the reduction of transport and warehouse costs, which are critical components of a humanitarian relief supply chain. Conclusion: This study is expected to significantly contribute to the crafting of effective HSC and intervention strategies. The study also adds to the body of knowledge in HSC and disaster management as there is a shortage of empirical data in this field of study.

Ada Chan, Bobae Johnson, Mengzhen Liu et al.

We develop the theory of pretty good fractional revival in quantum walks on graphs using their Laplacian matrices as the Hamiltonian. We classify the paths and the double stars that have Laplacian pretty good fractional revival.

Yuzhou Liu, Georg Novotny, Nikita Smirnov et al.

In the context of Intelligent Transportation Systems and the delivery of goods, new technology approaches need to be developed in order to cope with certain challenges that last mile delivery entails, such as navigation in an urban environment. Autonomous delivery robots can help overcome these challenges. We propose a method for performing mixed reality (MR) simulation with ROS-based robots using Unity, which synchronizes the real and virtual environment, and simultaneously uses the sensor information of the real robots to locate themselves and project them into the virtual environment, so that they can use their virtual doppelganger to perceive the virtual world. Using this method, real and virtual robots can perceive each other and the environment in which the other party is located, thereby enabling the exchange of information between virtual and real objects. Through this approach a more realistic and reliable simulation can be obtained. Results of the demonstrated use-cases verified the feasibility and efficiency as well as the stability of implementing MR using Unity for ROS-based robots.