logistics cost
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2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Feng-Jie Xie ◽  
Ruo-Chen Feng ◽  
Xue-Yan Zhou

Taking logistics time, logistics cost, and carbon emissions as optimization objectives, air transportation is included in the cross-border logistics paths optimization of multimodal transportation. Considering the scale effect of transportation, a multiobjective optimization model of cross-border logistics paths including road, water, railway, and air is constructed. The problem of cross-border logistics paths along the “Belt and Road” regions for cities in inland is studied via the NSGA-II method. The research results show that Chengdu and Xi’an should bear a large number of cross-border air transportation and be constructed as the national airport-type logistics hub. The foreign destinations of cross-border air transportation are distributed in different regions, mainly in Eastern Europe and Eastern Central Europe. The optimization result shows that if there is a 1-fold increase in logistics cost, the logistics time can reduce by 1.37 folds after the cross-border air transportation joins in the model. Such a result has effectively guided the transition from cross-border water transportation to cross-border air transportation.


2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Raj Singh Malik ◽  
Manoj Kumar Srivastava ◽  
Imlak Shaikh

Oil industry in India has entered the competitive world, and each organization used probing strategies to reduce cost. India is a non-oil-producing country, and the scope for this lies in reducing supply chain cost in downstream logistics. This research provides an integrated model of key enablers for transporter’s performance in downstream logistics excellence of Indian oil sector to provide oil marketing companies’ a direction for design of future strategies to reduce downstream logistics cost. The sequential mixed-methods design is adopted. It identifies the enablers through literature review and interviews with transporters, working managers, and logistics experts (qualitative), and then, interpretive structural modeling (ISM) and MICMAC analysis (quantitative) are used to develop the diagraph and matrix to establish the contextual relationship and find their role and influence on each other. This readymade, unique, and unified model provides enablers for transporters’ performance in different individual categories, namely, dependent, independent, and autonomous enablers, and link them based on their driving power and dependence power along with their influencing behavior to enable transporters, working managers, and top management to focus on for reducing the logistics cost and shall add value for the ultimate customers. The academicians shall be benefited by appreciating practical aspects of this business.


2021 ◽  
Vol 7 (2) ◽  
pp. 155-168
Author(s):  
Andreas Djatmiko

Abstrak. Tujuan dari penulisan artikel ini adalah untuk memunculkan sebuah ide atau gagasan baru yang berupa sebuah metode dengan sebutan sistem paket murni. Metode ini metode muncul dengan latar belakang adanya beberapa persoalan yang terjadi pada penyelenggaraan  pemilu serentak tahun 2019 lalu, salah satu penyebab persoalan itu adalah banyaknya jumlah penggunaan 5 (lima) kertas suara yang dicoblos berdampak pada banyak hal. Melalui penggunaan metode penelitian lapangan yang diterapkan, harapanya akan diperoleh sebuah data yang valid dengan tujuan untuk suatu temuan, pembuktian, dan pengembangan pengetahuan sehingga ke depannya akan bisa dipergunakan dalam melakukan pemecahan serta sebagai salah satu solusi untuk menyelesaikan sebuah permasalahan di lapangan. Hasil yang berupa ide atau gagasan dengan nama sistem paket murni ini nantinya bisa menjadi sebuah masukkan dalam merancang suatu kebijakan terkait tata cara pelaksanaan pemilu serentak yang akan diselenggarakan diwaktu yang akan datang untuk meminimalisir resiko persoalan yang akan terjadi dan mewujudkan efisiensi biaya logistik penyelenggaraan pemilu serentak. Abstract. The purpose of writing this article is to bring up a new idea or idea in the form of a method called a pure package system. This method emerged against the background of several problems that occurred in the holding of the simultaneous general election in 2019, one of the causes of the problem was the large number of uses of the 5 (five) ballot papers that were punched which had an impact on many things. Through the use of applied field research methods, it is hoped that valid data will be obtained with the aim of finding, proving, and developing knowledge so that in the future it can be used in solving problems and as a solution to solve a problem in the field. The results in the form of ideas or ideas with the name of a pure package system can later become an input in designing a policy related to the procedures for holding simultaneous elections to be held in the future to minimize the risk of problems that will occur and realize logistics cost efficiency in holding simultaneous elections.


2021 ◽  
Vol 22 (6) ◽  
pp. 1577-1592
Author(s):  
Mohan Saini ◽  
Denisa Hrušecká

This research papers aims to evaluate the impact of two major institutional indexes logistics performance index (LPI) and ease of doing business (EODB) along with logistics cost (LC) on the economic development (Gross domestic product – GDP per capita). The variables selected for the research study provides the comprehensive impact and forms the core of the economy for any country. Top seven economies of the world (China, France, Germany, India, Japan, United Kingdom and USA) along with Czech Republic, Singapore and Slovenia have been selected for this analysis. Mid-sized Economies of Czech Republic, Singapore, Slovenia have been selected for the regional balance of Asia and Europe and for cooperative results. A preliminary analysis of Pearson correlation analysis and detailed fuzzy qualitative comparative analysis have been opted for the study. The results illustrate that LPI is the core component for displaying the positive results on economic development. LC and EODB have displayed mixed results and will be studied in future research for identifying their impact on economic development. Future research will incorporate indexes such as global competitive index, innovation index for the evaluation of the combined impact on economic development.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wanli Gao

Cross-border e-commerce logistics cost prediction algorithm does not consider logistics distribution scheduling, and logistics information interchange is not enough, which leads to confusion of logistics cost parameters and large deviation. Therefore, an intelligent prediction algorithm of cross-border e-commerce logistics cost based on cloud computing is designed. Introduce cloud computing platforms, optimize the scheduling of cross-border e-commerce logistics distribution tasks, and select the targets for the scheduling of cross-border e-commerce logistics distribution tasks from the aspects such as the shortest waiting time required by customers, the degree of resource load balance, and the costs consumed in completing cross-border e-commerce logistics distribution tasks, and design logistics scheduling process. On this basis, the logistics distribution data are classified, the association rules between the data are mined, and the monitoring of abnormal values in the cost forecasting process is completed. In order to eliminate the interference caused by the difference of different cost management interval, the function value is calculated by weighted Euclidean distance. Design feedback forecast mechanism to realize intelligent forecast algorithm of cross-border e-commerce logistics cost. Experimental results show that the proposed algorithm has better accuracy of cross-border e-commerce logistics cost prediction and higher completion rate of logistics tasks.


Author(s):  
Michael G. Kay ◽  
Kenan Karagul ◽  
Yusuf Şahin ◽  
Gurhan Gunduz

Whenever there is sufficient demand, companies generally prefer the full truckload (TL) option for long-distance transport, resulting in large and less frequent shipment operations that can be costly if inventory carrying costs are high. Less than truckload (LTL) is another option for transport when carrying costs are high and/or there is insufficient demand. Shipment consolidation provides another option that combines many of the benefits of both TL and LTL. Shipment consolidation is a cost-effective transport solution that combines different size shipments into a single truckload. Combining many loads as a single load brings together economies of scale and potential savings. Traditional routing techniques that minimize distance are not suitable for shipments that have different origins and destinations because it can be beneficial to travel further to minimize overall transport and inventory cost, or what is termed total logistics cost (TLC). Effective consolidation of multi-stop routes to minimize TLC requires routing procedures that are more computationally intensive to find beneficial combinations of loads into consolidated shipments. In this study, we have developed a saving-based procedure to determine consolidated route sequences that minimize the TLC of shipments. Twenty-one data sets were produced using real city coordinates and population densities in North Carolina to demonstrate the effectiveness of the procedure. The solutions of the proposed method are compared with the solutions of the traditional Clarke and Wright (C-W) algorithm. Although the traditional C-W algorithm provides very fast solution times, the proposed method has produced much better solution values.


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