Abstract Inland waterway transport (IWT) is generally considered to be an environmentally friendly alternative to road transport and might also bring cost benefits. Nevertheless, the modal share of IWT remains limited, which is partly due to the necessary pre- and post-haulage to transport goods to and from the port. This paper presents an innovative concept aimed at reducing these operational barriers for the transport of powdered building materials. We introduce a mobile loading unit that can directly pump the product from the loading location into the vessel over a limited distance, thereby ending the need for pre-haulage with trucks. Our results show that the modal shift, enabled by the mobile loading unit, can result in cost reductions up to 30% and $$\hbox {CO}_2$$ CO 2 emissions can be halved.
Shipment of goods. Delivery of goods, Transportation and communications
Smart cities need energy-efficient and low-emission transportation for people and goods. Most studies focus on sustainable urban-transportation systems for passengers. Freight transportation in cities has increased significantly during the COVID-19 pandemic, leading to greenhouse gases emissions and negative externalities, such as traffic congestion. The purpose of this paper is to identify through a systematic literature review which innovations (hardware and software) applied by logistics service providers (LSPs) in sustainable urban freight (SUF) are suitable to support the transition to energy-efficient smart cities. We propose to classify the existing innovations in last-mile delivery for SUF into categories: (1) urban freight consolidation and/or trans-shipment; (2) the Consumer as a Service Provider (CaaSP); (3) choice of transportation modes. We introduce the concept of CaaSP as an innovative solution in last-mile delivery (LMD), where customers take over some transport operations with the use of smart technologies, and thus reduce the energy demand. We consider the modes of transportation, such as: drones, autonomous delivery robots, autonomous vehicles, cargo bikes (including e-cargo bikes, e-tricycles), electric vehicles (mainly vans), and combined passenger-and-cargo transportation rapid-transit systems. From the analyzed dataset, we find that energy-efficiency in smart cities can be improved by the consolidation of parcels in micro-depots, parcel lockers, and mobile depots. We analyze smart technologies (the Internet of things, big data, artificial intelligence, and digital twins), which enable energy efficiency by reducing the energy demand (fuel) of SUF, due to better operational planning and infrastructure sharing by logistics service providers. We propose a new IEE matrix as an actionable tool for the classification of innovations applied by LSPs in SUF, according to the level of their interconnectivity and energy efficiency. Additionally, this paper contributes to the theory by exploring possible future research directions for SUF in energy-efficient smart cities.
Jonathan Agoo, Renz Joshua Lanuza, Jonathan Lee
et al.
Dispatching goods is becoming more difficult to manage in the field of logistics due to the high demand for order shipments. This is related to the increasing popularity of the use of e-commerce platforms by consumers, where products are required to be delivered rather than being bought in physical stores. Dispatch management is one of the critical components in a supply chain since it covers the coordination of tasks among stakeholders from the warehouse to the consumer’s doorstep. In this study, the authors propose a framework leveraging geographic information to sustain logistics operations, specifically in terms of managing last-mile delivery and return trip orders. This includes scheduling, communications, and the inventorying of the shipment status of goods. A mobile application built on this framework was integrated with a waypoint order optimization algorithm considering an entire route that traverses all the required pick-up and delivery points. It was pilot tested with an actual dispatch operation of a logistics company, yielding decreases of 92% and 43% in the average turnaround time and carbon footprint per completed service request, respectively, a decrease of 57% in operations cost, and an increase of 72% in profit. With the adoption of this framework, this study aims to contribute to the overall efficiency and sustainability of logistics operations in a wider geographic range.
The sustainable development of transport and logistics systems and projects is one factor for the successful development of states and an indicator of integration processes in certain regions, including Central Asia. This study is devoted to the analysis of some aspects of the diversification of the external transport and logistics infrastructure; namely, an assessment of the potential of the Trans-Caspian International Transport Route (TITR) from the perspective of the Republic of Kazakhstan. While the route is useful for trade in multiple sectors, this paper will focus on the shipment of petroleum products via the TITR. Despite the absence of restrictions on the transit of goods to Europe through Russia, there are serious challenges to increasing the delivery time. The development of transport and logistics infrastructure is also relevant for Kazakhstan in the context of its new foreign policy role in the international arena to strengthen interregional cooperation. This requires serious attention and research into potentially promising routes. One of these routes is the TITR. Its development can significantly strengthen the economic position of Kazakhstan and strengthen its diplomatic potential. Along with this, there are several challenges and difficulties that need to be analyzed and overcome.
Yuan-Shyi P. Chiu, Jian-hua Lian, Fan-Yun Pai
et al.
When making a batch production decision for a buyer-vendor coordination system, the management must simultaneously consider the operating expenses incurred in in-house manufacturing and inventory, finished goods’ shipping, and stock holding at the retailer end. Achieving the operational goals of desirable quality, minimal production disruption, and shortening fabrication time help minimize overall in-house operating costs and maximize customer satisfaction. This work builds an operating cost minimization model for buyer-vendor coordination batch system with scrap, breakdowns, overtime, multi-shipment, and an external source to assist the management in optimizing their production-delivery plan. Removing inevitable scrap items ensures product quality, and correction action on stochastic equipment breakdown prevents unacceptable production delays. Implementing partial overtime and adopting an external source expedites in-house manufacturing time. Model construction and cost analysis enable us to decide the operating expense function. Then, we verify the function’s convexity and decide our model’s best manufacturing runtime with the differential calculus and a proposed algorithm. Furthermore, the numerical demonstrations are used to exhibit our work’s applicability and show what kinds of crucial in-depth information can be disclosed and made accessible to the production planners for their decision-making.
The purpose of the Energy Supply Chain smart contract that is being given here is to enable an Ethereum blockchain-based transparent and safe supply chain management system for energy items. The contract uses a decentralized method to track the lifespan of energy goods from producer generation to consumer use. It was implemented in Solidity version 0.8.0. According to the contract, the products can be in one of the following states: “Created,” “Shipped,” “Received,” “In Use,” and “Completed.” To guarantee that certain tasks can only be carried out by approved parties, including the contract owner, product manufacturer, distributor, and customer, the agreement makes use of a series of modifiers. The contract permits the production, shipment, receipt, use, and completion of energy products through a sequence of actions and state transitions. The contract owner's production of energy products, the producer's delivery of goods to a distributor, and the confirmation of receipts are among the essential features. by the distributor, the customer starting to use the product, and the product's lifecycle coming to an end. By setting off these events, the product's route through the supply chain is transparently documented. Through the utilization of smart contracts and blockchain technology, the Energy Supply Chain contract improves transparency and confidence in the energy supply chain. It provides a decentralized approach to tracking and certify the origin of energy goods from production to consumption.
Abstract We present a new model for estimating the distribution of international freight transport over transport modes that is directly applicable to aggregated data, allows estimations and predictions also when some modes are infeasible on some routes, and requires few processing time and memory space. It builds on the assumption that demand for transport by a given mode is driven by trading firms’ and consumers’ preferences about saving transport costs and time. In contrast to conventional mode-choice models, it is linear and grounded on consumer demand theory. Applying the model to international freight transport as recorded in the latest upgrade of UN Comtrade reveals an average cost elasticity of transport demand of − 0.32 and an average time elasticity of − 0.18. In addition, we find significant independent mode-specific effects. Cost and time elasticities are highly dependent on the type of commodity transported. The cost elasticity ranges from zero to − 1.9 and the time elasticity from zero to − 3.3 across commodity groups defined at the four-digit level of the Harmonized System classification. These findings suggest that policy measures, exogenous shocks or other events that change the relative transport costs and transit times across modes can cause modal shifts—for some commodities more than for others—thereby mitigating the loss in welfare.
Shipment of goods. Delivery of goods, Transportation and communications
Abstract Regional integration in Africa is deepening, and the existing regional groupings are making frantic efforts to remove barriers to trade. One way in which trade among countries can be promoted is through the establishment of free trade areas with member-states. However, regulatory quality that supports international trade in most African countries is exceptionally low. This study investigates the effect of the Common Market for Eastern and Southern Africa (COMESA) free trade area (FTA) on the bilateral export efficiency of member-states over the period 1997–2021. The results obtained using a stochastic frontier specification of the gravity model and panel data of 16 exporting COMESA member-states show a positive effect of the COMESA free trade area on export efficiency. In addition, the study finds regulatory quality to have a positive impact on export efficiency. Controlling for regulatory quality, the results also show that the FTA stimulates export efficiency. Hence, non-FTA COMESA members ought to contemplate joining the FTA in order to expand their respective exports with other member-states to their maximum potential.
Shipment of goods. Delivery of goods, Transportation and communications
Demand forecasting and inventory optimization are the core issues of e-commerce supply chain management, which are crucial for ensuring timely delivery of goods, reducing inventory costs, and improving inventory turnover efficiency. This paper is based on Python's merge function to merge table data and transcode text data. Then, by drawing a q-q diagram and K-S test to determine the distribution of the data columns, it was found that the shipment volume data follows a normal distribution. Adopting 3σ The principle is to determine outliers and manually determine that the two data with larger values in the edge values are considered outliers. Replace the above outliers with missing values and use Newton interpolation for linear filling to obtain the standard dataset after data preprocessing. We establish a prediction model based on attention mechanism for prediction, and ultimately obtain more accurate prediction results.
Fadillatunnisa Fadillatunnisa, Muhammad Lathief Ilhamy Nasution, Juliana Nasution
IntroductionAs the economic landscape in Indonesia continues to evolve, there is a growing demand for shipping services. Nevertheless, from an Islamic perspective, research regarding insurance protection for shipped goods remains limited.ObjectivesThis research aims to examine consumer protection in enhancing expedition services for the shipment of goods at J&T Express Medan, focusing on the forms of protection against delays, damages, and losses during delivery due to negligence in the shipment process, which results in losses for consumers.MethodThe research methodology employed is qualitative research with a descriptive approach. This study utilized both primary and secondary data.ResultsIn the context of J&T Express's regular services, the service provider includes protections such as insurance and wooden packaging if deemed necessary by consumers to prevent damages and resultant losses during the shipment of goods. To ensure the safety of shipped items, J&T always offers insurance options for every item dispatched, especially for high-value items. Additionally, J&T Express provides packing services to guarantee the security and safety of the transported goods.ImplicationsThis research provided insights for sellers on whether they should opt for insurance protection or not based on the nature, fragility, and value of the items being shipped.Originality/NoveltyThis study contributes to insurance protection in the context of shipments from an Islamic perspective in Indonesia.
Supply chain management (SCM) refers to the coordination and oversight of all activities involved in the production, procurement, transformation, and delivery of goods or services from the point of origin to the point of consumption. It encompasses the planning, execution, and control of various processes involved in the flow of materials, information, and finances across the entire supply chain. In this paper, the authors have done a detailed analysis of the pharmaceutical dataset and predicted useful metrics that can be used in the shipping industry. This paper aims to demonstrate the application of machine learning models on the prediction of shipping mode. The model is trained on various features of the pharmaceutical supply chain dataset such as unit price, first-line designation, and delivery dates. Data cleaning and feature engineering were done and multiple models were trained. Out of the models tested, XGboost was found to give the best results for the prediction of weight, shipment modes and delivery date. Key Words: Supply chain management, Machine Learning models, Shipping Industry, XG Boost
Sasha Fahrunisha, Lailia Awalushaumi, Z. Awanis
et al.
E-commerce growth so rapidly in Indonesia and giving great opportunity for logistics service in order to give easiness for customer to make deliveries. Pos Indonesia (Persero) is an Indonesian state-owned companies engaged in delivery of goods and letter. In sending a goods, its important to choose the right goods that will be lifted into the freight transportation. The more optimal load of goods, the more income will be gotten. To find an optimal selection of solution, it can be modeled as Integer Knapsack problem by optimizing the maximum capacity of knapsack. The purpose of the research is to get an optimal solution by selecting a right goods based from weight using Depth-First Branch and Bound in freight transportation of Pos Office Mataram. Total weight from 23-31 august 2022 is 11,563.3 kg and get Rp. 16,259,430.00 income can be delivered in 11 days using Depth-First Branch and Bound better than an actual shipment that need 12 days to distributed all of goods. Therefore, the accumulate of weight using Depth-First Branch and Bound more effective and it can be used as an alternative solution to get an optimal selection of goods in freight transportation.
Supply chain management (SCM) is the management of operations that are involved in the procurement of raw materials, its processing into finished goods, and distribution to the end consumer. In order to maximize profits in the supply chain, more customers should be explored from the rural areas but there is difficulty in reaching the customers due to road network accessibility for heavy loaded trucks. Our objective seeks to find out the optimum quantity and optimal cost required by the supplier and customer to maximize the supply chain profit. We applied a quantity-based mathematical model with renewal theory and shipment consolidation to obtain the profit function in the supply chain system. Then, we presented a solution to the model to determine the optimal solution in the supply chain. Our results show that the demand rate and the supply chain’s profit are higher, especially for the more retailers demand. Therefore, involving small vehicles for delivery of products to customers into areas where road network accessibility is difficult for heavy trucks is advantageous for the supply chain.
Ridwan Izza Aditya, Aryanto Nur, Finar Al Khori
et al.
This study analyzes the impact of information systems on J&T Express delivery services, with a focus on service quality and customer satisfaction. The survey involving 95 respondents showed that key elements such as reliability, responsiveness, assurance, and empathy have a significant influence on customer satisfaction and loyalty. J&T Express is known for its timely delivery and quick response, supported by an information system that allows real-time tracking of shipment status, so that customers feel more comfortable and informed. Competitive prices for domestic shipping are also one of the main factors attracting customers, although there are some complaints about the high cost of international shipping. Transparency in pricing has also increased customer trust in J&T Express services. In addition, the flexibility of services such as the option of picking up goods from home or office and 24-hour operating hours provides greater convenience, especially for customers with busy schedules. However, several obstacles, such as internet network instability and delivery delays, are still challenges that need to be addressed immediately so as not to negatively affect customer satisfaction and loyalty. The results of this study emphasize the importance of continuous improvement in service quality as well as information systems to maintain J&T Express's competitiveness in the highly competitive delivery services industry.
Nguyet Nguyen, Thi Hoang Ha Tran, Thi Thuy Duong Luu
et al.
The growth of last-mile delivery in developing countries is featuring the important contribution of crowdshippers. Therefore, exploring the factors affecting the intentions to stay in jobs of the crowdshippers is of great significance to maintain and sustainably develop the last-mile delivery service. Based on the Social Exchange Theory, we hypothesize that benefits (economic benefits, professional reputation, and job autonomy) and costs (risks and stress at work) have an effect on crowdshippers’ intentions to continue participating in last-mile delivery service in Vietnam. We also look for differences in motivations to stay in job between full-time and part-time workers. Survey data from 428 crowdshippers were analyzed using SmartPLS. The research findings indicate that economic benefits and work autonomy (benefits) have positive influences on intention to continue participating in crowd logistics, while risks and job stress (cost) have negative effects on the intention of crowsdhippers to continue their work. In addition, research findings also uncover that differences in motivation (perception of benefits and costs) to stay in job between full-time and part-time workers also affect their intentions. Although reputation did not show a significant impact on the crowdshippers’ intentions to continue participating in crowd logistics, it was discovered that reputation has a positive effect on full-time crowdshippers’ intentions to continue working. Based on the findings of this study, we recommend that businesses increase benefits and reduce costs in job to sustain and increase the continued participation in last-mile delivery.
Assunta Di Vaio, Anum Zaffar, Daniel Balsalobre-Lorente
et al.
Abstract This study investigates existing literature on decarbonization technology responsibility for sustainable business models in the shipping industry. Specifically, it considers the relationship between responsible innovation from green technology adoption in decarbonization management practices and gender equality to precisely target how decarbonization technology relates to gender mainstreaming, a key element of Sustainable Development Goal 5 in the UN 2030 Agenda. From the institutional theory perspective, this study conducted a systematic review of 114 articles published in the ISI Web of Science and Scopus databases from 1990 to 2022. The results highlight that green technology adoption can support low-carbon practices and gender equality in the shipping industry by contributing to decarbonization technology responsibility, sustainable business models, and responsible innovation. Ultimately, this study suggests that shipping management should provide training and workshops for women on technology adoption in decarbonization operational processes to support gender quality and technological development. It also presents a new conceptual framework and research propositions on significant issues that are currently neglected. The proposed framework may be treated as a decarbonization technology responsibility guideline in shipping management that can reshape the organizational culture to promote gender equality.
Shipment of goods. Delivery of goods, Transportation and communications
This study analyzed community resiliency by evaluating access to essential delivery services before and during the COVID-19 pandemic. Data were collected from October 2020 to September 2021 in a stated-preference survey about delivery services in Southwest Virginia. A significantly larger proportion of respondents without vehicle access relied on third-party restaurant app delivery use than those with a vehicle. Compared to more urban areas, respondents who lived in rural locations were three times more unsatisfied with delivery services due to a lack of accessibility to stores and delivery options.
Port managing bodies (PMBs) need to respond to increased societal pressures for improving environmental performance. For many PMBs, a modal shift (MS) from road to rail and barge transport (where available) represents a strategic priority. Yet, in practice, few PMBs have set clear MS targets or have been able to achieve their MS objectives at the level of the port cluster. In this context, the extant port management literature has not yet provided actionable and generally applicable conceptual guidance for PMBs towards achieving ambitious MS goals. In this paper, we develop such guidance by following a contract theory approach to the effectiveness of MS strategies implemented by PMBs. We argue that a PMB, in its role of port cluster manager, can facilitate a MS through strategically deploying governance mechanisms based on sound economic theory. Here, an arsenal of incentives and penalties can be used to push port users (PUs) towards achieving MS targets. Building upon insight from contract theory, we also assess the importance of information management as a prerequisite for a successful MS strategy. We formulate strategic directions for PMBs and identify a future research agenda that should allow improved understanding of how MS goals can be achieved in real world settings.
Abstract Globalization and complex supply chain networks have been affecting Logistics Services Providers’ (LSPs) service delivery and service expectations. Logistics Service Quality (LSQ) is becoming a more important aspect for LSPs and logistics service customers. In recent years, there has been an increase in the studies on service quality in logistics. Researchers have been trying to identify aspects of LSQ and its dimensions in order to create a measurement model that could be used in overall logistics services. However, there is still neither a unified nor agreed LSQ measurement model in the literature and researchers have been debating continuously on the proposed models. This paper targets to investigate and suggest LSQ measurement dimensions obtained from previous studies by analyzing the findings within a systematic approach and improving the findings with semi-structured interviews. In this study, systematic literature analysis has been conducted to research papers published in selected academic databases with specific keyword and keyword cluster searches to identify the related articles published within a specified period. Papers have been selected in accordance with the predefined criteria. As a result, a total of 59 articles have been determined for the search criteria and the findings obtained were analyzed. Most frequently used research trends and methods on service quality in logistics have been identified. In addition, the most frequently used LSQ dimensions and factors have been reviewed. Moreover, the most frequently used service quality approaches and measurement models have been analyzed. The results received from systematic literature review have been composed and dimensions have been identified. Semi-structured interviews with LSPs and customers of LSPs in Germany-based companies have been conducted to strengthen the findings gained from systematic literature review. 5 LSQ dimensions and 24 factors have been formed with the help of semi-structured interviews. This paper represents the basis for further research for empirical studies and can be used as a guideline for quality management practices in logistics applications and transport.
Shipment of goods. Delivery of goods, Transportation and communications