To see the other types of publications on this topic, follow the link: Total freight.
Journal articles on the topic 'Total freight'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Total freight.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
BRZHEZOVSKIY, A. M. "On the rationing the parameters of asymmetric loading of all-purpose freight cars." Vestnik of the Railway Research Institute 78, no. 2 (June 5, 2019): 82–89. http://dx.doi.org/10.21780/2223-9731-2019-78-2-82-89.
Full textAbstract:
Due to the presence in the operating fleet of freight cars with a base of over 10 m, as well as the practical impossibility of symmetrically placing loads with a weight corresponding to the nominal carrying capacity on open rolling stock, adjustments to the existing asymmetrical loading standards are necessary. To this end, it is proposed to apply a comprehensive methodology for determining the allowable parameters of asymmetrical placement of freights, based on a combination of strength criteria of the bearing elements of cars, ensuring the normative level of dynamic qualities and stability of the loaded car. The article provides an example of determining the permissible parameters of the joint lateral and longitudinal displacement of the total center of gravity of the car (ЦТгр°), loaded to the nominal capacity. According to the results of the studies to determine the allowable values of longitudinal and lateral displacement ЦТгр° with unbalanced placement within the loading platform of the car, including the presence of a joint displacement, it was found that to improve the efficiency of using freight cars with an increased base, it is advisable to update the current offset standards of ЦТгр°. It is recommended to take the values of longitudinal displacement ЦТгр° for cars with a body base of 14.6 and 19.0 m respectively 1.46 and 2.11 m for freight with a total weight of 50 tons; 1.10 and 1.43 m for freight with a total weight of 60 tons; 0.22 and 0.28 m – for freight with a total weight of 67 tons. When placing freights with a total weight of over 67 tons with a height of center of gravity of 2.0–2.2 m on 4-axle freight cars with an axle load of 230.5 kN without limiting the permissible driving speeds, it is recommended to use a graphical method for determining the joint (longitudinal and transverse) displacement ЦТгр°. With an increase in the joint displacement parameters ЦТгр°, it will be necessary to limit the speed of the car in the curved sections of the track and to the lateral direction on the turnouts.
2
Hwang, Taesung. "Assignment of Freight Truck Shipment on the U.S. Highway Network." Sustainability 13, no. 11 (June 3, 2021): 6369. http://dx.doi.org/10.3390/su13116369.
Full textAbstract:
With the ever-increasing demand for freight movements, nationwide freight shipments between geographical regions by freight trucks need to be investigated since they comprise the largest share of total freight movements in the United States. To this end, the procedures for freight truck shipment demand network assignment on the entire U.S. highway network considering congestion effect are discussed, and the results are explained in detail, with visual illustrations. A fundamental traffic assignment model with a convex combinations algorithm is proposed to solve the nationwide freight truck shipment assignment problem under the user equilibrium principle. A link cost function is modified, considering the traffic volume that already exists on U.S. highways. A case study is conducted using big data including the entire U.S. highway network and freight shipment information in 2007. Total and average freight shipment costs for both truck and rail transportation for a specific origin–destination pair in the database are computed to compare the characteristics of these two major freight transportation modes in the United States. Application of the proposed model could be possible to address many other related problems, such as improvement of highway infrastructure, and reductions in traffic congestion and vehicle emissions.
3
Wang, Danzhu, Lingyun Zhou, Huimin Zhang, and Xiaokang Liang. "A Bi-Level Model for Green Freight Transportation Pricing Strategy Considering Enterprise Profit and Carbon Emissions." Sustainability 13, no. 12 (June 8, 2021): 6514. http://dx.doi.org/10.3390/su13126514.
Full textAbstract:
Due to the impact of COVID-19, enterprises need effective pricing strategies to improve profits and viability. In order to fill research gaps in the literature relating to market competition among different freight modes and to adjust the freight transportation structure by optimizing transportation prices, we propose a multi-objective bi-level programming pricing model that considers market competition and the carbon emissions of the freight system in China. First, an objective function in upper-level planning was used to improve logistics enterprise profits and reduce the total carbon emissions of the freight system. Then, a generalized cost function for the freight transportation mode was designed to quantify the market competition among different transportation modes, and a user equilibrium assignment model was established to obtain the results of cargo flow assignment in lower-level planning. To solve the model, a sensitivity analysis algorithm was designed, and a logistics network example was used to verify the effectiveness of the model. The experimental results show that reasonable freight price adjustment can effectively increase enterprise profits and reduce the total carbon emissions of the freight system. In this paper, we provide a new method for freight pricing research, considering the market competition of multiple transportation modes, and provide a new idea for adjusting the transportation structure through freight price optimization, which will play a positive role in promoting the development of green freight.
4
Supardi, Edi, and Noneng Nurjanah. "Analisis Preferensi Konsumen Terhadap Freight Forwarding Freight Forwarding Liability Insurance." Competitive 14, no. 2 (January 19, 2020): 45. http://dx.doi.org/10.36618/competitive.v14i2.618.
Full textAbstract:
Penelitian ini bertujuan untuk mengetahui preferensi konsumen terhadap produk Freight Forwarding Liability Insurance. Freight Forwarding Liability Insurance merupakan asuransi yang wajib dimiliki oleh setiap perusahaan freight forwarding terkait rights, duties and resposnsibilities yang dipersyaratkan oleh Conventions, Undang-undang dan peraturan yang berlaku yang bertujuan untuk menghindari kebangkrutan dan meminimalisir kerugian perusahaan freight forwarding dari tuntutan fihak ke tiga atas kelalaian yang timbul dari aktivitas jasa yang dilakukan oleh perusahaan freight forwarding.
Penelitian bertujuan untuk mengetahui tingkat kepentingan berdasarkan gambaran atau persepsi perusahaan freight forwarding anggota Asosiasi Logistik dan Freight Forwarding Indonesia (ALFI) terhadap Freight Forwarding Liability Insurance dengan menggunakan analisis conjoin. Penelitian ini ditargetkan untuk populasi anggota ALFI sebagai user atau konsumen atau pengguna jasa Freight Forwarding Liability Insurance dengan total data terkumpul sebanyak 54 responden. Hasil penelitian menunjukan faktor Price, Process dan Product merupakan tiga sub variabel penting bagi perusahaan logistic anggota ALFI dalam menentukan keputusan atas pembelian Freight Forwarding Liability Insurance, serta empat indikator penting yang harus diperhatikan dalam perancangan jaminan Produk Freight Forwarding Liability Insurance bagi perusahaan logistic anggota ALFI yaitu meningkatnya Harga jual Jasa perusahaan Freight Forwarding , Harga yang kompetitif, Pembayaran Klaim yang cepat dan mudah serta produk yang dapat dipercaya.
5
Zhang, Yaqin, Mingming Wang, Ruimin Wang, Zhipeng Li, and Nan Zhang. "A freight train dispatching approach for handling perturbations: a real case for the longest heavy-haul railway in China." Smart and Resilient Transport 2, no. 2 (November 30, 2020): 85–99. http://dx.doi.org/10.1108/srt-09-2020-0009.
Full textAbstract:
Purpose This paper aims to reschedule the freight train timetable in case of disturbance to restore the train services as soon as possible. Design/methodology/approach Hence, an integer linear programming model for the real-time freight heavy-haul railway traffic management is developed in case of large primary delays caused by the delayed cargos loading. The proposed model based on the alternative graph at the microscopic level depicts the freight train movements in detail. Multiple dispatching measures such as re-timing and re-ordering are taken into account. Moreover, two objective functions, namely, the total final delays and the consecutive delays, are minimized in the freight trains dispatching problem. Findings Finally, a real-world computational experiment based on the Haolebaoji-Ji’an freight heavy-haul railway is implemented. The results of all disrupted cases are obtained within 10 s. The results give insight into that the consecutive delays are more than the total final delays when the same disrupted situation and the consecutive or total final delays increase as the primary delays increase. Originality/value An integer linear programming model based on the alternative graph for the real-time freight heavy-haul railway traffic management is developed in case of large primary delays caused by the delayed cargos loading. The method can be developed as the computer-aided tool for freight train dispatchers.
6
Wang, Lu. "Significance analysis of influencing factors of highway freight transportation in China and multi-variable grey prediction for its development." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 1237–46. http://dx.doi.org/10.3233/jifs-210141.
Full textAbstract:
With the prosperity of national economy and the development of highway construction, highway freight transportation plays an increasingly important role in the market economy. Due to its great flexible characteristic, highway freight transportation has been the main mode of transportation in China. On the macro level, there are many factors affecting the development of highway freight transportation especially under the background of the new era. Based on the historical data of the development of highway freight transportation, grey entropy analysis method is applied to analyze the significance of influencing factors for the development of highway freight transportation whose key indicator is highway freight turnover. Then GM (1, N) model is established to predict the development trend of highway freight turnover and its significant influencing factors. Finally, main problems existing in highway freight transportation and development prospect were discussed and analyzed. The research results show that the three most significant factors affecting the development of road freight turnover in China are the total state revenue, GDP and average distance of highway freight. The established GM (1, N) model can conduct high precision prediction for the development of highway freight transportation. Opportunities and challenges of highway freight transportation industry coexist and its development prospect is promising. It is expected to provide beneficial references for the development strategy and decision-making of highway freight transportation in China.
7
Shirov, A. A., N. N. Sapova, E. S. Uzyakova, and R. M. Uzyakov. "Comprehensive Forecast of Demand for Inter-regional Rail Freight Transport." Economy of Region 17, no. 1 (March 2021): 1–15. http://dx.doi.org/10.17059/ekon.reg.2021-1-1.
Full textAbstract:
A forecasting system for calculating the demand for inter-regional rail freight transport is necessary for assessing the growth and development opportunities of transport infrastructure, connectivity of regions and spatial development. We examine the regional economy and interregional relations based on the existing system of rail freight transport. The statistics of the Federal State Statistics Service (Rosstat), international statistical agencies and the data of JSC Russian Railways served as raw data. The research methodology includes input-output methods and models, in particular, a static input-output model, as well as methods of correlation and regression analysis. We calculated projected rail freight traffic for two macroeconomic development scenarios. A better alternative (target scenario) of economic development, demonstrating an average annual economic growth rate of 102.2 % for the period 2015–2035, would lead to a 16.2 % increase in the rail freight traffic by 2035 compared to the baseline scenario. The second scenario is based on the hypothesis of economic stagnation at the level of 1%. Such an increase is achieved by domestic transport, in which the share of construction freight for approximately 30.9 % of total traffic by 2035, and export transport, where the share of energy freight is 44.1 % of the total. An increase in shipment in total rail freight transport will be provided by enterprises of the Central, Northwestern, Volga and Siberian Federal Districts. The proposed tools allow sub- stantiating the strategic development of the railway system, assessing the cooperation between the economy and rail transport. The results can be used for analytical and predictive support of the strategic development of the railway system in the Russian Federation. The future research will focus on expanding the set of factors for considering the regional characteristics of economic development, a more meaningful assessment of the connectivity of regions, not only in the system of rail freight transport.
8
Shen, Guoqiang, Xiaoyi Yan, Long Zhou, and Zhangye Wang. "Visualizing the USA’s Maritime Freight Flows Using DM, LP, and AON in GIS." ISPRS International Journal of Geo-Information 9, no. 5 (April 25, 2020): 286. http://dx.doi.org/10.3390/ijgi9050286.
Full textAbstract:
In this research, we developed a novel model framework consisting of data mining (DM), linear programming (LP), and an all-or-nothing (AON) flow assignment to estimate maritime freight flows between the United States and the rest of the world. We first built DM and LP models to select and combine various country-level data sources on import and export freight into a complete geographic information system (GIS)-based origin and destination (OD) database with targeted locations, networks, and attributes on ocean routes connecting foreign and U.S. maritime ports. Then, we performed freight assignments and estimated total or commodity-specific import and export freight flows. Additionally, we visualized major sea ports with various handling capacities and optimal maritime freight flows in 2D in GIS and in 3D in Google Earth with highlights for selected total and most imported or exported goods on maritime networks and for major trading partners, such as the U.S. and China. Finally, a visual validation of model results on optimal maritime routes with respect to real-time vessel density network links and routes was provided as well.
9
Liu, Lianhua, Aili Xie, and Hai Ping. "Research on Freight Development of Guangdong Province Based on Grey Theory Model." Mathematical Problems in Engineering 2021 (July 20, 2021): 1–14. http://dx.doi.org/10.1155/2021/5401499.
Full textAbstract:
Logistics and economic development complement each other. The comprehensive competitiveness of Guangdong provincial economy ranks first in China. Under the influence of COVID-19, the freight development of Guangdong Province has been affected, but there is still lack of quantitative research. It is significant to explore the trend of economic development through the freight development of Guangdong Province. Based on the grey theory model, this paper uses six freight indexes to research freight development of Guangdong Province. Under the assumption that COVID-19 did not happen, we predicted the development value of freight index of Guangdong Province from January to December in 2020 and studied the influence based on the comparison between the predicted value and actual value. The empirical study shows three impact characteristics: stage characteristics, structural characteristics, and entity transmission characteristics. COVID-19 has a negative impact on the development of total freight volume, highway freight volume, waterway freight volume, and air freight volume in Guangdong Province. The influence values were −23.001%, −29.344%, −11.296%, and −3.838%. But, the freight volumes of railway and pipeline were positively affected by 14.343% and 13.057%, respectively, due to their continuity and substitution to other transportation modes. To further explore the abate measures of COVID-19 impact on Guangdong’s freight development, the grey correlation model is introduced to study the correlation factors of freight development of Guangdong Province. Through the research of the related factors, this paper puts forward some measures to promote the freight development of Guangdong Province in the postepidemic era.
10
Yang, Fan, Xiaoying Tang, Yingxin Gan, Xindan Zhang, Jianchang Li, and Xin Han. "Forecast of Freight Volume in Xi’an Based on Gray GM (1, 1) Model and Markov Forecasting Model." Journal of Mathematics 2021 (January 18, 2021): 1–6. http://dx.doi.org/10.1155/2021/6686786.
Full textAbstract:
Due to the continuous improvement of productivity, the transportation demand of freight volume is also increasing. It is difficult to organize freight transportation efficiently when the freight volume is quite large. Therefore, predicting the total amount of goods transported is essential in order to ensure efficient and orderly transportation. Aiming at optimizing the forecast of freight volume, this paper predicts the freight volume in Xi’an based on the Gray GM (1, 1) model and Markov forecasting model. Firstly, the Gray GM (1, 1) model is established based on related freight volume data of Xi’an from 2000 to 2008. Then, the corresponding time sequence and expression of restore value of Xi’an freight volume can be attained by determining parameters, so as to obtain the gray forecast values of Xi’an’s freight volume from 2009 to 2013. In combination with the Markov chain process, the random sequence state is divided into three categories. By determining the state transition probability matrix, the probability value of the sequence in each state and the predicted median value corresponding to each state can be obtained. Finally, the revised predicted values of the freight volume based on the Gray–Markov forecasting model in Xi’an from 2009 to 2013 are calculated. It is proved in theory and practice that the Gray–Markov forecasting model has high accuracy and can provide relevant policy bases for the traffic management department of Xi’an.
11
Yang, Can, and Xuemei Li. "Research on Railway Freight Volume Prediction Based on Neural Network." E3S Web of Conferences 143 (2020): 01050. http://dx.doi.org/10.1051/e3sconf/202014301050.
Full textAbstract:
Railway freight volume is an important part of the total social freight volume and an important indicator of the national economy. Scientific prediction of railway freight volume can provide decision support for the formulation of China's railway policy and railway investment planning, and is of great significance for adjusting transportation structure and building an efficient transportation network. In order to improve the prediction accuracy, this paper constructs a combined prediction model based on GRA-GABP. The model uses grey correlation analysis to screen out the key influencing factors of railway freight volume, and optimizes the weight and threshold of BP neural network based on genetic algorithm to improve the prediction accuracy. This paper comprehensively considers the influencing factors of macroeconomics, market demand, logistics competition and railway supply. The historical data of railway freight transport from 1978 to 2018 is selected for case analysis. The results show that the prediction accuracy of the GRA-GA-BP based combination prediction model is significantly improved and can be used as an effective tool for railway freight volume forecasting.
12
Guo, Zhaoxia, Weiwei Le, Youkai Wu, and Wei Wang. "A Multi-Step Approach Framework for Freight Forecasting of River-Sea Direct Transport without Direct Historical Data." Sustainability 11, no. 15 (August 6, 2019): 4252. http://dx.doi.org/10.3390/su11154252.
Full textAbstract:
The freight forecasting of river-sea direct transport (RSDT) is crucial for the policy making of river-sea transportation facilities and the decision-making of relevant port and shipping companies. This paper develops a multi-step approach framework for freight volume forecasting of RSDT in the case that direct historical data are not available. First, we collect publicly available shipping data, including ship traffic flow, speed limit of each navigation channel, free-flow running time, channel length, channel capacity, etc. The origin–destination (O–D) matrix estimation method is then used to obtain the matrix of historical freight volumes among all O–D pairs based on these data. Next, the future total freight volumes among these O–D pairs are forecasted by using the gray prediction model, and the sharing rate of RSDT is estimated by using the logit model. The freight volume of RSDT is thus determined. The effectiveness of the proposed approach is validated by forecasting the RSDT freight volume on a shipping route of China.
13
Güler, Hakan. "AN EMPIRICAL MODELLING FRAMEWORK FOR FORECASTING FREIGHT TRANSPORTATION." TRANSPORT 29, no. 2 (May 30, 2014): 185–94. http://dx.doi.org/10.3846/16484142.2014.930927.
Full textAbstract:
This paper presents a framework which includes empirical modelling methods to estimate freight transportation between defined zones. In this method, observed origin and destination matrices for each type of freight are constituted based on the link counts and the roadside truck survey data. The gravity method is selected to estimate origin and destination matrices by using observed link flows, gross domestic product by provinces and interzonal distances. Advanced statistical techniques and regression analyses are used to estimate the coefficients of the gravity method. The final freight transportation matrix is calibrated with the link flows data by using iterative techniques. The developed method was applied to find the origin and destination matrix of the total freight transportation in Turkey and successful results were obtained.
14
Seetharaman, Anusha, Kazuya Kawamura, and Saurav Dev Bhatta. "Economic Benefits of Freight Policy Relating to Trucking Industry: Evaluation of Regional Transportation Plan Freight Policy for a Six-County Region, Chicago, Illinois." Transportation Research Record: Journal of the Transportation Research Board 1833, no. 1 (January 2003): 17–23. http://dx.doi.org/10.3141/1833-03.
Full textAbstract:
The economic impact of freight transportation has been the focus of policy debate for many years. Attempts have been made to measure the benefits of freight policy. However, the overall economic impact, as reflected in increased output from efficiency improvements or generated employment, has not been evaluated effectively in long-range planning. This study attempts to quantify the economic benefits of freight policy relative to recommendations in the 2020 Regional Transportation Plan (RTP) for a six-county region of Chicago, Illinois. RTP projections for fuel consumption savings and shorter delays (and thus lower labor costs) were translated into output changes for the motor freight industry and, subsequently, demand changes. Using rather conservative assumptions, annual savings of $270 million were calculated as the total direct economic impact of RTP policy and project implementation on the regional motor freight and warehousing industry. Increases in output and demand for the motor freight industry were fed into an input–output model. The model found that direct, indirect, and induced impacts on the regional economy exceeded $675 million and generated nearly 7,000 jobs annually. In particular, both wholesale and retail markets were expected to increase output by almost $30 million because of freight movement efficiency improvements.
15
Vanek, Francis M., and Edward K. Morlok. "Freight Energy Use Disaggregated by Commodity: Comparisons and Discussion." Transportation Research Record: Journal of the Transportation Research Board 1641, no. 1 (January 1998): 3–8. http://dx.doi.org/10.3141/1641-01.
Full textAbstract:
The analysis of energy consumption in freight transportation is almost always approached by disaggregating overall energy consumption by mode, which then provides a basis for understanding trends and underlying factors that influence them and for developing conservation policies. Another important approach is to disaggregate by commodity, because it is commodity flows that generate the modal vehicle flows and hence the modal energy consumption in transportation. Thus changes in energy use by commodity are important factors in understanding trends in energy consumption and may provide a basis for energy conservation policies centered on industries using transportation. Total freight energy consumption is estimated for a range of commodity groups using an activitybased approach to energy consumption, where total freight activity is decomposed into components by mode and by commodity group, and then each component is multiplied by an intensity estimate to calculate total energy use for that commodity group. Two important findings are discussed: ( a) commodity groups with high energy growth between 1972 and 1993 had a combination of substantial ton-mile growth and modal shift to truck, and ( b) commodity groups of finished products with a high average value per ton in general have a much higher average freight energy intensity than raw materials with a low average value per ton.
16
Solihat, Ani, Mimin Nurjanah, Rani Rahmayani, Andry Trijumansyah, and Iis Iskandar. "The Role of Brand Trust in Achiving Competitive Advantage (Case Study: PT Pos Indonesia Bandung)." Relevance: Journal of Management and Business 3, no. 1 (July 1, 2020): 90–103. http://dx.doi.org/10.22515/relevance.v3i1.2231.
Full textAbstract:
The purpose of this study is to determine the role of brand trust in achieving the competitive advantage of PT Pos Indonesia Bandung freight forwarding services. The method in this study uses quantitative methods. This research uses the Stastical Pakage for the Social Sciences (SPSS) program which aims to measure the effect of brand trust on the competitive advantage of PT Pos Indonesia Bandung freight forwarding services. The sampling technique of this study used purposive sampling and the determination of samples was calculated using the Rao Purba formula with a total sample of 96 people. The respondents of this study were users of freight forwarding services, especially PT Pos Indonesia and other freight forwarding services (TIKI, JNE, JT, etc.). The design of this study uses descriptive and verification to assess the picture and influence between variables. The results of this study indicate that brand trust has a positive and significant effect on the competitive advantage of PT Pos Indonesia Bandung freight forwarding services.
17
Pompigna, Andrea, and Raffaele Mauro. "A structural decomposition analysis for traffic demand assessment on a freight transport corridor." Archives of Transport 56, no. 4 (December 30, 2020): 19–31. http://dx.doi.org/10.5604/01.3001.0014.5512.
Full textAbstract:
This paper deals with a Structural Decomposition (SDA) applied to the analysis of the freight traffic demand in an Input Output (IO) modelling context. After reviewing the basic definitions of IO models and some methodological refer-ences for their application in the freight transport field, the paper proposes the application of the SDA in the perspec-tive of a freight corridor. This application takes place downstream of an IO model that directly relates the quantities of goods transported along the corridor with the functioning of the reference economic system. Considering the evolution of tons annually transported in a certain time interval, the SDA model allows to isolate the specific effects related to: intensity of freight traffic typical of the corridor; technological structure of the production sectors; characteristics of the final demand in relation to its overall level, sectoral structure and allocation between components. The SDA model is applied to a case study considering the total volumes of goods annually in transit at the Brenner pass between 2000 and 2014. The evaluation of the polar forms of the multiplicative decomposition and their geometric mean allow to quantify the effects of each factor on the variation of the tonnage in terms of indexed value, absolute variation and percentage contribution compared to the base year (2000). The relative influences on freight traffic at the Brenner pass are therefore highlighted, both in terms of total volumes transited and impacts attributable to each of the decomposi-tion factors introduced, with particular evidence also in the event of periods of economic and financial crisis. The SDA specified in the paper and the related case study provide useful elements for studying the traffic demand of goods through a freight corridor, helping in outlining the effects of the different driving forces related to the economic system and affecting freight transport demand trends.
18
Cheng, Yaorong. "THE METHOD TO SELECT THE TRANSPORT PATH BASED ON THE MULTIMODAL COST." TRANSPORT 27, no. 2 (June 26, 2012): 143–48. http://dx.doi.org/10.3846/16484142.2012.691898.
Full textAbstract:
To begin with, the current paper introduces the meaning of freight multimodal transport in order to select the best transport path in multimodal network. Secondly, the forming mechanism of freight multimodal transport cost has been illustrated. In addition to that the construction and the character of the freight multimodal cost have been analyzed carefully, and the mathematics model is set up so that to figure out the total cost of multimodal. Finally, a case of multimodal is given out and analyzed. The results indicate that the model and way to select the best multimodal path in the multimodal network are reasonable and effective.
19
He, Wei Ming, Yan Hai Hu, and Li Li Guo. "Model and Algorithm of JIT Purchase Based on Actual Freight Rate." Applied Mechanics and Materials 37-38 (November 2010): 675–78. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.675.
Full textAbstract:
Based on single vendor and single buyer, vendor supplies buyer with a product, and the vendor split order into many equal shipments to delivery. Aimed at minimizing the total cost of vendor and buyer, JIT purchase model based on actual freight rate was proposed. Actual freight rate is transformed into alternating ranges of a constant charge per kilogram followed by a constant fixed charge. For the actual freight rate, by calculating the solutions for all weight ranges and comparing them, the optimal solution was derived. Numerical results show that the algorithm can obtain the optimal solution, and the model is verified.
20
Özsomer, Aysegül, Michel Mitri, and S. Tamer Cavusgil. "Selecting International Freight Forwarders: An Expert Systems Application." International Journal of Physical Distribution & Logistics Management 23, no. 3 (March 1, 1993): 11–21. http://dx.doi.org/10.1108/09600039310039142.
Full textAbstract:
The recent changes in the international forwarding environment have witnessed the emergence of “new forms” of forwarders incorporating a broad spectrum of services under one roof. Such total logistics companies are becoming a critical third party in obtaining a competitive advantage in foreign markets. Hence, the evaluation and selection of an international freight forwarder is no longer a simple operational decision but a strategic one. Presents and explains an expert systems tool to assist decision makers in selecting the freight forwarder which fits their needs best. The system, called FREIGHT, brings together international marketing, logistics and artificial intelligence knowledge.
21
Smadi, Ayman, and T. H. Maze. "Statewide Truck Transportation Planning: Methodology and Case Study." Transportation Research Record: Journal of the Transportation Research Board 1522, no. 1 (January 1996): 55–63. http://dx.doi.org/10.1177/0361198196152200107.
Full textAbstract:
An alternate approach for truck transportation planning at the state level is presented using a case study application in the State of Iowa. The method was based on some freight modeling concepts and available freight data sets. However, the model takes advantage of two concepts: unconstrained highway capacities and the decomposition of commodities, resulting in manageable data and modeling requirements. Identification of significant economic sectors, selection of appropriate productivity measures, estimation of truck freight volumes for each sector individually, and estimation of routing of truck traffic on major highway routes are major elements of the planning method. The case study used two industrial sectors—food and kindred products, and machinery products—which accounted for the largest portion of state employment in nonservice sectors and the largest truck traffic generated in the state. A simplistic transportation network was used to demonstrate the modeling procedure. The analysis uses county-level employment and population to estimate zonal freight tonnage. The truck share of generated freight was estimated as the total freight generated less the freight tonnage shipped by rail. A gravity model was used to distribute the truck tonnage among origin-destination pairs, using travel time as the impedance on highway links. Estimated truck flows were converted to vehicle trips on least time highway routes using typical vehicle equivalent weights.
22
Zhang, Xu, and Hans-Joachim Schramm. "Assessing the market niche of Eurasian rail freight in the belt and road era." International Journal of Logistics Management 31, no. 4 (June 16, 2020): 729–51. http://dx.doi.org/10.1108/ijlm-12-2019-0351.
Full textAbstract:
PurposeThis paper presents an overview of the recent development of Eurasian rail freight in the Belt and Road era and further evaluates its service quality in terms of transit times and transport costs compared to other transport modes in containerised supply chains between Europe and China.Design/methodology/approachA trade-off model of transit time and transport costs based on quantitative data from primary and secondary sources is developed to demonstrate the market niche for Eurasian rail freight vis-a-vis the more established modes of transport of sea, air and sea/air. In a scenario analysis, further cargo attributes influencing modal choice are employed to show for which cargo type Eurasian rail freight service is favourable from a shipper's point of view.FindingsAt present, Eurasian rail freight is about 80% less expensive than air freight with only half of the transit time of conventional sea freight. Our scenario analysis further suggests that for shipping time-sensitive goods with lower cargo value ranging from $US1.23/kg to $US10.89/kg as well as goods with lower time sensitivity and higher value in a range of $US2.46/kg to $US21.78/kg, total logistics costs of Eurasian rail freight service rail is cheaper than all other modes of transport.Practical implicationsAs an emerging competitive solution, Eurasian rail freight demonstrates to be an option beneficial in terms of transport cost, transit time, reliability and service availability, which offers a cost-efficient option enabling shippers to build up agile and more sustainable supply chains between China and Europe.Originality/valueOur study firstly provides a comprehensive assessment of present Eurasian rail freight including a thorough comparison with alternative modes of transport from a shipper's point of view.
23
Ezquerro, Sara, Juan P. Romero, Jose L. Moura, Juan Benavente, and Ángel Ibeas. "Minimizing the Impact of Large Freight Vehicles in the City: A Multicriteria Vision for Route Planning and Type of Vehicles." Journal of Advanced Transportation 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/1732091.
Full textAbstract:
The impact of freight transport in cities is significant, and as such correct planning and management thereof help reduce their enormous negative impact. Above all, the special large vehicles have a greater impact than the remainder of freight vehicles, so a special attention should be paid to them. The vehicles which supply or pick up large amounts of goods at specific points throughout the city are an example of this type of vehicles. The aim of this paper is to minimize the cost of this freight transport type from a social, economic, and environmental viewpoint. To this effect, an optimization model has been proposed based on bilevel mathematical programming which minimizes the total system costs. City network model data are obtained on the lower level such as vehicle flow and travelling times, which are then used on the upper level to calculate total system costs. The model has been applied to a real case in Santander (Spain), whose final result shows the size and typology of the fleet of vehicles necessary to have the least impact on the city. The greater the vehicles size is (i.e., using fewer trucks), the less the cost of the freight transport is.
24
Chen, Yikai, Kai Wang, Yu Zhang, Renjia Luo, Shujun Yu, Qin Shi, and Wenting Hu. "INVESTIGATING FACTORS AFFECTING ROAD FREIGHT OVERLOADING THROUGH THE INTEGRATED USE OF BLR AND CART: A CASE STUDY IN CHINA." Transport 35, no. 3 (May 22, 2020): 236–46. http://dx.doi.org/10.3846/transport.2020.12635.
Full textAbstract:
Overloading of road freight vehicles accelerates road damage, creates unfair competition in the transport market, and increases safety risk. There is a dearth of research on the mining of data of highway Freight Weight (FW), and this paper therefore aims to discover factors affecting road freight overloading based on highway FW data, with a view of developing strategies to mitigate such occurrences. A comprehensive sampling survey of road freight transportation was conducted in Anhui Province (China). Vehicle Characteristics (VC), Operation Mode (OM), and transportation information from a total of 3248 trucks were collected. In order to take advantage of the strengths associated with both statistical modelling techniques and non-parametric methods, a Classification And Regression Tree (CART) technique was integrated with Binary Logistic Regression (BLR) to reveal the factors affecting road freight overloading. The classification efficacy test shows that the BLR–CART method outperformed the BLR method in term of accuracy. It is also revealed that the factors affecting overloading of freight vehicles are the Type of Transportation (ToT), Rated Load (RL), OM, FW during the investigation period, interaction between RL and FW, and interaction among RL, FW, and Average Haul Distance (AHD). Road transport authorities should pay greater attention to these factors in order to improve efficiency and effectiveness of overloading inspection.
25
Vanichchinchai, Assadej, and Songwut Apirakkhit. "An identification of warehouse location in Thailand." Asia Pacific Journal of Marketing and Logistics 30, no. 3 (June 11, 2018): 749–58. http://dx.doi.org/10.1108/apjml-10-2017-0229.
Full textAbstract:
Purpose The purpose of this research is to identify a province in Thailand where total transportation cost for shipping grocery goods from this province to customers in all other provinces is the lowest. Design/methodology/approach Transportation distances among provinces, freight rate and the number of population in each province were gathered. Total transportation cost was computed by taking distance, tapering freight rate and population including that in original province into account. Findings Based on pre-set assumptions, it reveals that Saraburi province has the lowest total transportation cost. Research limitations/implications This research emphasizes only transportation cost. For future research, other monetary and non-monetary factors such as land, labor, investment incentive, local government regulation should be considered together. Practical implications This is an industry-based research especially for retail and fast-moving consumer goods businesses. Originality/value This practitioner paper is one of the first to identify population, freight rate and distance-based warehouse location which can be determined as a location for Thailand’s logistics hub, particularly for retail or fast-moving consumer goods business in Thailand.
26
COMI, Antonio, Berta BUTTARAZZI, Massimiliano SCHIRALDI, Rosy INNARELLA, Martina VARISCO, and Paolo TRAINI. "An advanced planner for urban freight delivering." Archives of Transport 4, no. 48 (December 31, 2018): 27–40. http://dx.doi.org/10.5604/01.3001.0012.8363.
Full textAbstract:
The paper aims at introducing an advanced delivery tour planner to support operators in urban delivery operations through a combined approach which chooses delivery bays and delivery time windows while optimizing the delivery routes. After a literature review on tools for the management and the control of the delivery system implemented for optimizing the usage of on-street delivery bays, a prototypical tour delivery planner is described. The tool allows transport and logistics operators to book the delivery bays and to have real-time suggestions on the delivery tour to follow, through the minimization of the total delivery time. Currently, at development phase, the tool has been tested in a target zone, considering the road network and time/city delivering constraints and real-time data about vehicles location, traffic and delivery bay availability. The tool identifies the possible tours based on the delivery preferences, ranks the possible solutions according to the total route time based on information on the road network (i.e. travel time forecasts), performs a further optimization to reduce the total travel times and presents the user the best alternative along with the indications of which delivery bay to use in each delivery stop. The developed prototype is composed by two main parts: a web application that manages communication between the database and the road network simulation, and, an Android mobile App that supports transport and logistic operators in managing their delivering, pre trip and en route, showing and updating routing based on real-time information.
27
Velickovic, Marko, Djurdjica Stojanovic, and Valentina Basaric. "The assessment of pollutants emissions within sustainable urban freight transport development: The case of Novi Sad." Thermal Science 18, no. 1 (2014): 307–21. http://dx.doi.org/10.2298/tsci120808037v.
Full textAbstract:
Assessment of pollutant emissions is a prerequisite for planning and development of sustainable urban transport systems. Majority of extant studies on sustainable urban transport is focused on pollution caused by urban passenger transport, with marked paucity of literature on the impact of urban freight transport. To partly bridge this gap, the paper objective is the impact assessment of selected regulative measures, i.e. fleet renewal on freight transport emissions. We used the case of Novi Sad to estimate the potential impact of selected restrictive measures on the external freight transport air pollution. To the best of our knowledge, this is one of the first studies on impact of urban freight transport on the air pollution in the cities in the Balkan region. Several research findings are of interest. Firstly, the analysis of particular gas emissions reveals expected overall positive effects of the fleet renewal in most of cases. Still, the total amount of same emissions hardly increase, so this particular measure is not enough to reach the ambitious EU strategy goals concerned with sustainable urban freight transport. Further, some negative impacts of restrictive measures on gas emissions were also recorded and discussed. The observed complex impact of restrictive measures on urban freight air pollution indicates that urban freight transport planning and modeling requires a comprehensive database, clear goals and higher priority of environmental criterion in traffic planning. Our results and recommendations may be useful for scholars, urban transport planners, policy makers and practitioners.
28
Shardeo, Vipulesh, Anchal Patil, and Jitender Madaan. "Critical Success Factors for Blockchain Technology Adoption in Freight Transportation Using Fuzzy ANP–Modified TISM Approach." International Journal of Information Technology & Decision Making 19, no. 06 (October 9, 2020): 1549–80. http://dx.doi.org/10.1142/s0219622020500376.
Full textAbstract:
The dynamic and uncertain demand forces organizations to provide flexible services in order to fulfill customer demands. Freight transportation, being the key component of the businesses, requires adoption of efficient Information and Communication Technologies which can induce transparent and flexible services. Blockchain Technology (BT) is an emerging technology which has great potential to cater solutions to freight transportation issues. This study identifies different critical success factors of BT adoption in freight transportation. An integrated Fuzzy Analytic Network Process (FANP) is applied to prioritize identified success factors. Further, modified Total Interpretive Structural Modeling (mTISM) is used to represent the interrelationship among different sub-factors. The findings of the study revealed Development Aspects, Customer Services and Technological Aspects as well as Data Transparency, Reliability and Organizational Culture as the most significant factors and sub-factors, respectively. The proposed model will guide freight transport managers to formulate their strategies regarding BT adoption.
29
Sayarshad, Hamid R., Vahid Mahmoodian, and Nebojša Bojović. "Dynamic Inventory Routing and Pricing Problem with a Mixed Fleet of Electric and Conventional Urban Freight Vehicles." Sustainability 13, no. 12 (June 12, 2021): 6703. http://dx.doi.org/10.3390/su13126703.
Full textAbstract:
Urban freight transport is essential for supporting our society regarding providing the daily needs of consumers and local businesses. In addition, it allows for the movement of goods, is distributed within urban environments, provides thousands of jobs, and supports economic growth. However, a number of issues are associated with urban freight transport, including environmental impacts, road congestion, and land use of freight facilities that conflicts with residential land use. Electric freight vehicles create zero emissions and provide a sustainable delivery system in comparison with conventional freight vehicles. In this study, a novel dynamic inventory routing and pricing problem under a mixed fleet of electric and conventional vehicles was formulated to minimize the total travel and charging costs. The proposed model is capable of deciding on replenishment times and amounts and vehicle routes. We aimed to determine the maximum social welfare (SW) capable of providing an optimal trade-off between the supplier cost and customer delay that uses a mixed fleet of vehicles. Our computational study was conducted on real data generated from a delivery dataset in Tehran. Under the proposed policy with a fleet of only electric vehicles, the SW increased by 3% while the average customer delay reduced by 15% compared with a fleet of conventional vehicles. The results show that the number of served customers and customer delay would be affected by transitioning conventional urban freight vehicles to electric vehicles. Therefore, the proposed delivery system has a significant impact on energy savings and emissions.
30
Steingass, Christof B., Jennifer Dickreuter, Sabine Kuebler, Ralf M. Schweiggert, and Reinhold Carle. "Influence of fruit logistics on fresh-cut pineapple (Ananas comosus [L.] Merr.) volatiles assessed by HS-SPME–GC–MS analysis." European Food Research and Technology 247, no. 7 (March 31, 2021): 1617–30. http://dx.doi.org/10.1007/s00217-021-03718-w.
Full textAbstract:
AbstractGreen-ripe pineapples are shipped overseas by sea freight, while those picked at full maturity need to be transported by airfreight over the same large distance. In this study, fresh-cut pineapple cubes were assessed two, five, and eight days after processing from green-ripe pineapples after mimicked sea freigh (SF) and fully ripe air-freighted (AF) pineapples. The sea-freighted samples displayed elevated titratable acidity (TA), thus resulting in smaller ratios of total soluble solids and TA compared to the AF pineapples. Differences in the carotenoid levels of the two fresh-cut categories were found to be insignificant. By contrast, hierarchical cluster analysis (HCA) and principal component analysis (PCA) calculated on the basis of the volatiles analysed by headspace solid-phase microextraction–gas chromatography–mass spectrometry (HS-SPME–GC–MS) permitted to distinguish all six individual sample types and to segregate them into two major clusters (SF and AF). The effect of storage on the volatiles was further evaluated by partial least squares (PLS) regression. Substantial chemical markers to differentiate the individual samples and to describe the effect of storage were deduced from the PCA and PLS regression, respectively. In general, fresh-cut products obtained from fully ripe AF fruit displayed higher concentrations of volatiles, in particular, increased concentrations of diverse methyl esters. With progressing storage duration, the concentrations of ethanol and diverse ethyl esters increased. Moreover, products from AF pineapples displayed lower microbial counts compared to those from SF fruit.
31
Karner, Thomas, Sylvia Scharl, and Brigitte Weninger. "Estimation of the Domestic Transport Performance from the Consolidated European Road Freight Transport Data." Austrian Journal of Statistics 43, no. 1 (April 15, 2014): 49–62. http://dx.doi.org/10.17713/ajs.v43i1.8.
Full textAbstract:
Transport statistics provide information about transport volume and performance on defined territories (e.g. for the European Union as a whole or for the individual member states) and are therefore necessary for political, economic and ecological decisions. Complying with the current European legal basis[1] the surveys for the modes of transport rail, aviation and inland waterways are performed according to the territoriality principle and hence the data on total transport volume is collected in each member state. Alone the road freight transport survey is based on the nationality principle, which means that only freight vehicles registered in the respective member state take part in the national surveys. Thus the single member states have no information about the total transport volume and performance on their own territory derived from road freight vehicles registered in other member states. In contrast the member states have information about the transport volume and performance provided by their freight vehicles in the other European countries. This situation implies a significant limitation of the usability of the results of the national road freight surveys as well as the usefulness of the modal split of the single modes of transport based solely on the national surveys.[1] Regulation (EC) No 91/2003 of the European Parliament and of the Council of 16 December 2002 on rail statistics, OJ No L14, 21.2.2003 p 1 - 15; Regulation (EC) No 437/2003 of the European Parliament and of the Council of 27 February 2003 on statistical returns in respect of the carriage of passengers, freight and mail by air; OJ No L 66, 11.3.2003 p 1 – 8; Regulation (EC) No 1365/2006 of the European Parliament and of the Council of 6 September 2006 on statistics of goods transport by inland waterways and repealing Council Directive 80/1119/EEC, OJ L No 264; 25.9.2006 p 1 – 11; Regulation (EU) No 70/2012 of the European Parliament and the Council of 18 January 2012 on statistical returns in respect of the carriage of goods by road (recast), OJ No L 32, 3.2.2012 p 1-18
32
Muoki, Raphael Kiluu, and Makori Moronge. "Influence of Logistics Optimization on Performance of Freight Forwarding Companies in Kenya." International Journal of Supply Chain and Logistics 5, no. 1 (March 15, 2021): 46–66. http://dx.doi.org/10.47941/ijscl.534.
Full textAbstract:
Purpose: The purpose of the study is to investigate the influence of logistics optimization on performance of freight forwarding companies in Kenya.
Methodology: Descriptive research design was adopted. The study preferred this method because it allows an in-depth study of the subject. Data was collected from deputy heads and heads of procurement in 45 freight forwarding companies in Kenya, who are registered members of KIFWA according to its 2019 directory. Questionnaires were used to collect data. The questionnaires were tested for validity and reliability using 10% of the total sample respondents. Data was analyzed through descriptive statistical methods such as means, standard deviation, frequencies and percentage. Inferential analyses were used in relation to correlation analysis and regression analysis to test the relationship between the four explanatory variables and the explained variable. Multiple regression models were used to show the relationship between the predicted variable and the predictor variables.
Results and conclusion: The independent variables reported R value of 0.846 indicating that there is perfect relationship between dependent variable and independent variables. R square value of 0.716 which means that 71.6% of the corresponding variation in performance of the freight forwarding companies can be explained or predicted by (logistics information system, freight management, distributor base rationalization and transport planning) which indicated that the model fitted the study data. The findings of the study indicated that logistics information system, freight management, distributor base rationalization and transport planning have a positive relationship with performance of freight forwarding companies in Kenya.
Unique contribution to theory, policy and practice: the study recommended that freight forwarding companies should embrace logistics optimization so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.
33
Patwary, A. Latif, T. Edward Yu, Burton C. English, David W. Hughes, and Seong-Hoon Cho. "Estimating the Rebound Effect of the U.S. Road Freight Transport." Transportation Research Record: Journal of the Transportation Research Board 2675, no. 6 (February 4, 2021): 165–74. http://dx.doi.org/10.1177/0361198121991494.
Full textAbstract:
The United States (U.S.) road freight sector has continued to grow over recent decades. Growth in road freight could result in more fuel consumption and hence increased greenhouse gas emissions. Policymakers have attempted to manage the growth of energy usage through improved fuel economy based on technological advances. However, such improvements may not lead to anticipated goals because of the rebound effect, where improvements in energy efficiency trigger more travel and energy consumption that offsets energy savings. Thus, this study aims to determine the potential rebound effect from improved energy efficiency in the U.S. road freight sector. Eight fuel cost models are applied and asymmetric price response is incorporated in estimating the U.S. road freight sector’s rebound effect from 1980 to 2016. In addition, a recently developed data envelopment analysis is applied to determine the annual rebound effect in the road freight sector. The results suggest that, after accounting for the asymmetric price response, the average rebound effect of the U.S. road freight sector ranges from 6.9% to 8.8%, a level considerably less than that found for several industrialized countries and emerging economies. However, a considerable increase in the rebound effect has been seen in more recent years. The findings suggest that overlooking the rebound effect in environmental policies could impede the goal of reducing total energy consumption and accompanying emissions. Policymakers should incorporate the rebound effect from efficiency enhancement in policy development and utilize some potential programs to reduce the adverse influence of rebound effect in related policies.
34
Yang, Hualong, and Yuwei Xing. "Containerships Sailing Speed and Fleet Deployment Optimization under a Time-Based Differentiated Freight Rate Strategy." Journal of Advanced Transportation 2020 (August 17, 2020): 1–16. http://dx.doi.org/10.1155/2020/4103275.
Full textAbstract:
This paper investigates the problem of containership sailing speed and fleet deployment optimization in an intercontinental liner shipping network. Under the consideration of the time value of container cargo, three kinds of impact of sailing speed changes on long legs of each liner route are analysed, and a time-based freight rate strategy is proposed. Then, the optimization problem is formulated as a mixed-integer nonlinear programming. Its goal is to maximize the total profits of a container liner shipping. To find the optimal solution to the model and improve the efficiency of model solution, a discretization algorithm is proposed. Numerical results verify the applicability of the proposed model and the efficiency of the algorithm. In addition, the time-based freight rate strategy is able to achieve more profit compared to a fixed freight rate strategy.
35
Ratna Sari, Arrifah, and Ahmad Rusdiansyah. "Feasibility model for freight train insertion in one way – train schedule." MATEC Web of Conferences 204 (2018): 02011. http://dx.doi.org/10.1051/matecconf/201820402011.
Full textAbstract:
In 2014, 94% distribution in Indonesia used by truck mode. But in recent years, the train mode begun to be used as a distribution transport mode of replacement trucks. For shipments with a distance of 500-1500 km, rail mode is more suitable due to cheaper transportation costs and faster delivery times. But in Indonesia railway infrastructure is only used 56% of total capacity. Therefore the current logistical challenge is how to optimize the use of railways. This research tries to develop mathematical model for determining freight trains that avoid the ovetaking. The model developed is a train slot model that inserts a freight train between fixed trains. Because there is a lot of input schedules, it requires a long computation time. Therefore, this research also develops decision support tools using Visual Basic Application in Microsoft Excel. The result showed that minimum headway effect on the determination of additional freight trains and the optimum minimum headway is 6 minutes. With 6 minutes of minimum headway, the additional freight train are 15 trains. This additional train increase the carrying capacity of 900 TEUs / day. When compared with the initial condition, it means the addition of transport capacity is 21,43%
36
ZHANG, JUN, JIAFU TANG, and RICHARD Y. K. FUNG. "A SCATTER SEARCH FOR MULTI-DEPOT VEHICLE ROUTING PROBLEM WITH WEIGHT-RELATED COST." Asia-Pacific Journal of Operational Research 28, no. 03 (June 2011): 323–48. http://dx.doi.org/10.1142/s0217595911003260.
Full textAbstract:
The multi-depot vehicle routing problem (MDVRP) is a variant of the classical vehicle routing problem (VRP). Most research on MDVRP and its extensions often do not consider the effect of the freight's weight on the total cost. In this paper, the multi-depot vehicle routing problem with weight-related cost (MDVRPWRC) is introduced. MDVRPWRC considers the cost incurred by the weight of freight to determine the vehicle routine with the objective of minimizing the total cost. A scatter search (SS) for the MDVRPWRC is proposed. The sweep algorithm and the optimal splitting procedure are used to construct the initial trial solutions. An iterative descending algorithm and an arc choosing method are adopted in the SS to improve and combine the solutions, respectively. Computational experiments on a range of test datasets show that the MDVRPWRC can reduce the total cost more efficiently compared with the general MDVRP. Moreover, the proposed SS can solve the MDVRPWRC effectively.
37
Yang, Woosuk, Taesu Cheong, and Sang Hwa Song. "A Multiperiod Vehicle Lease Planning for Urban Freight Consolidation Network." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/921482.
Full textAbstract:
This paper considers a multiperiod vehicle lease planning problem for urban freight consolidation centers (UFCCs) in the urban freight transport network where short-term-leased and long-term-leased vehicles are hired together. The objective is to allocate the two kinds of leased vehicles optimally for direct transportation services from the associated origin node to the associated UFCC or from the associated UFCC to the associated destinations so as to satisfy a given set of period-to-period freight demands over a given planning horizon at total minimum vehicle allocation cost subject to demand-dependent transportation time restriction. The problem is formulated as an integer programming model and proven to be NP-hard in a strong sense. Thus, a Lagrangian heuristic is proposed to find a good solution efficiently. Numerical experiments show that the proposed algorithm finds good lower and upper bounds within reasonable time.
38
Prozzi, Jolanda, Kellie Spurgeon, and Robert Harrison. "Secret Lives of Containers: Evidence from Texas." Transportation Research Record: Journal of the Transportation Research Board 1833, no. 1 (January 2003): 3–10. http://dx.doi.org/10.3141/1833-01.
Full textAbstract:
In 2000, the Texas Department of Transportation contracted with the Center for Transportation Research (CTR) at the University of Texas, Austin, to analyze containerized freight movements in Texas. Although aggregate data are available on the container sector and global movements, including data on container manufacturing, steamship companies, container routes, vessel capacities, and costs and supply chains, little information is available on container movements in the United States. To shippers and those directly involved in the container sector, some data on container movements in the United States—including route choice—are available. However, for those involved in freight planning at the state level, such information remains somewhat of a mystery. To fill this void, the CTR research team sought the assistance of various transportation stakeholders involved in containerized freight movements in an effort to characterize and gain a better understanding of this important and growing component of the freight sector. A total of 31 telephone interviews were conducted, involving 3 major ocean carriers, 12 trucking companies, 8 freight forwarders, 7 container leasing companies, and 1 railroad representative. Questions addressed container ownership, liability at different stages of a movement, benefits of different types of leases, container tracking (state of practice), transfer costs, security risks, and the outcome of a container at the end of its useful life. This study provides planners and those outside the industry with information on this dynamic sector and likely future changes.
39
Li, Jing, Yue Fang Yang, and Huan Liu. "Path Optimization of Container Multimodal Transportation Based on Improved Genetic Algorithm." Applied Mechanics and Materials 433-435 (October 2013): 657–61. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.657.
Full textAbstract:
This paper mainly studies on the optimization and algorithm of multimodal transport path. The algorithm considered the transportation time, freight, the different transport ways, and the possibility of occurrence of facelift premise between each node. All of this determined the best path and the mixture of intermodal transport, which minimize the total freight fee. Take the complexity of multimodal optimization into account, this paper optimized the genetic algorithm to transport scheme. The certain population of crossover and mutation rules in application will continue to evolve by coding each path, finally achieve the solution of concrete steps.
40
Simangunsong, Johannes E., Ade Sjafruddin, Harun Al-Rasyid S. Lubis, and Russ Bona Frazila. "Selection of ports, tariffs, service frequency, and ship size for a SSS Route in Java Island." MATEC Web of Conferences 270 (2019): 03015. http://dx.doi.org/10.1051/matecconf/201927003015.
Full textAbstract:
Short Sea Shipping (SSS) is one of modes to reduce the dominance of trucking mode of freight transportation in Indonesia. It concerns to multimodal freight transportation network system through sea mode transportation line. As a maritime nation, it is possible to develop SSS lines in Indonesia. The development of the SSS lines is expected to improve the continuity of goods which supporting the efficiency and effectiveness of the national logistics system. It develops integrated connectivity in local, inter-island and national scale. The objective of this study is to obtain optimum SSS route with objective function to maximize the difference of total transportation cost by designing SSS operating system model. Several factors are considered in SSS operating system model as policy measures, such as transit ports selection, tariffs, services, and ship sizes. This SSS model is approached by Incremental Assignment method. SSS operating system model will be applied to the freight mobility in Java.
41
Foytik, Peter, and R. Michael Robinson. "Integrating Truck Emissions Cost in Traffic Assignment." Transportation Research Record: Journal of the Transportation Research Board 2503, no. 1 (January 2015): 119–27. http://dx.doi.org/10.3141/2503-13.
Full textAbstract:
The adverse impacts of greenhouse gasses (GHG) and the imperative for reducing the existing rate of GHG production are well established. In the United States, the largest source of GHG emissions from human activities is from burning fossil fuels, primarily for the generation of electricity and transportation. The transportation sector accounts for 28% of all U.S. GHG production. Heavy-duty vehicles, such as large freight trucks, account for nearly one-fifth of the U.S. total, and this fraction is expected to grow rapidly. Consequently, many efforts are being used to reduce the total emissions of freight trucks. Most efforts emphasize one of four areas: engineering improvements to improve fuel economy or reduce emissions, shifts to other transport modes, improved logistics to reduce the movement of partially full or empty containers, and reduced travel costs for individual trucks. A few studies have assessed modifications to route choice considerations as a means of improving the fuel economy of individual vehicles and show potential gains. In this study, the potential gains of emissions-based route choice were assessed by integrating the U.S. Environmental Protection Agency motor vehicle emission simulator with a macroscopic regional traffic demand model. For this integration, route choices included a simplified emissions calculation within the repeated model iteration runs of an algorithm of the Frank–Wolfe type. The analyses suggested that reductions of freight truck emissions were possible and showed an example in which the total system's truck emissions were reduced by up to 0.61% (88.8 tons).
42
Patrascu, Alexandru Ionut, Anton Hadar, and Stefan Dan Pastrama. "Structural Analysis of a Freight Wagon with Composite Walls." Materiale Plastice 57, no. 2 (July 1, 2019): 140–51. http://dx.doi.org/10.37358/mp.20.2.5360.
Full textAbstract:
The paper presents a numerical study regarding the mechanical response of the body of a freight wagon to the usual loads encountered during service. The main goal of the present research is to investigate the possibility to replace the steel walls of the wagon with walls made of laminated composites. In this way, the total mass of the wagon can be decreased, leaving room for supplementary load of goods. Finite element analyses of the wagon with steel walls is presented first, in order to show that most of the load is taken by the structure of the wagon, while the stresses in the walls are low. Further, composite plates with different thickness are studied to find the minimum value of thickness for which the displacements have values below a certain range. These thicknesses are further considered in the finite element analyses of the entire wagon with composite walls to investigate if the new walls significantly change the stresses in the vehicle structure. It was concluded that the replacement does not alter the stress state in the structure, and, consequently, it is a good solution for diminution of the total mass of the vehicle.
43
Sianipar, Arbie. "Analisis Distribusi Beban pada Kendaraan Angkutan Barang Sesuai dengan Konfigurasi Axle." Warta Penelitian Perhubungan 32, no. 1 (June 30, 2020): 11–20. http://dx.doi.org/10.25104/warlit.v32i1.1270.
Full textAbstract:
AbstrakSalah satu penyebab terjadinya penurunan umur rencana konstruksi jalan adalah muatan berlebih (overload) pada kendaraan angkutan barang. Overload adalah kondisi berat total kendaraan lebih besar daripada jumlah berat yang diizinkan. Besaran berat angkutan barang yang diizinkan oleh pemerintah sesuai dengan surat edaran Direktur Jenderal Perhubungan Darat Nomor SE.02/AJ.208/DRJD/2008. Tujuan penelitian ini ialah menganalisis distribusi beban pada kendaraan angkutan barang dengan beberapa jenis konfigurasi axle (sumbu) dan memberikan rekomendasi teknis kepada pihak terkait dalam rangka pengendalian muatan berlebih pada kendaraan angkutan barang. Berdasarkan wawancara dengan Kasatpel UPPKB Losarang dan pengamatan langsung kendaraan yang kelebihan muatan, serta hasil pencatatan pelanggaran di UPPKB Losarang pada November 2018, analisis dengan penghitungan Vehicle Damage Factor (VDF) menghasilkan angka di atas toleransi, 3,89. Namun, setelah penambahan sumbu dengan roda ganda angka VDF pada beberapa kendaraan berkurang menjadi 3,89. Hal ini mengindikasikan bahwa penambahan sumbu (multiaxle) mampu mengurangi tingkat kerusakan jalan walaupun terdapat batas maksimum yang ditetapkan Agen Tunggal Pemegang Merek (APTM). Selain dapat mengurangi tingkat kerusakan jalan, batasan tersebut juga dapat menjamin keselamatan perjalanan.Kata kunci: Distribusi beban, angkutan barang, UPPKB Losarang. AbstractAnalysis of Load Distribution in Freight Vehicles According to Axle Configurations: A reason for the decline in the age of road construction plans is the overloading of freight vehicles. Overload is a condition where the total weight of a vehicle is greater than the amount of weight allowed. The legally accepted weight of freight vehicles is according to the circular letter issued by the General Directorate of Land Transportation No. SE.02/AJ.208/DRJD/2008. This study was designed to analyze the load distribution in freight vehicles with several types of axle configurations and to provide technical recommendations to related parties in the context of overloading control. Based on an interview with UPPKB Losarang Kasatpel and direct observation of overloaded vehicles—whose results were consistent with the violation listing obtained from UPPKB Losarang in November 2018, the calculated Vehicle Damage Factor (VDF) exceeded the upper threshold, i.e., 3.89. However, after adding the axis with double wheels, the VDF of some of the vehicles observed decreased to 3.89. This result indicates that the addition of axis (multi-axle) up to the maximum limit set by the Sole Trademark Holder Agent (APTM) can reduce the level of damage that freight vehicles cause to the road and, at the same time, ensure travel safety.Keywords: Load distribution, freight transportation, UPPKB Losarang.
44
Zhao, Ce, Lixing Yang, and Shukai Li. "Allocating Freight Empty Cars in Railway Networks with Dynamic Demands." Discrete Dynamics in Nature and Society 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/349341.
Full textAbstract:
This paper investigates the freight empty cars allocation problem in railway networks with dynamic demands, in which the storage cost, unit transportation cost, and demand in each stage are taken into consideration. Under the constraints of capacity and demand, a stage-based optimization model for allocating freight empty cars in railway networks is formulated. The objective of this model is to minimize the total cost incurred by transferring and storing empty cars in different stages. Moreover, a genetic algorithm is designed to obtain the optimal empty cars distribution strategies in railway networks. Finally, numerical experiments are given to show the effectiveness of the proposed model and algorithm.
45
Piscitelli, Prisco, Barbara Valenzano, Emanuele Rizzo, Giuseppe Maggiotto, Matteo Rivezzi, Felice Esposito Corcione, and Alessandro Miani. "Air Pollution and Estimated Health Costs Related to Road Transportations of Goods in Italy: A First Healthcare Burden Assessment." International Journal of Environmental Research and Public Health 16, no. 16 (August 12, 2019): 2876. http://dx.doi.org/10.3390/ijerph16162876.
Full textAbstract:
Background: The Italian Society of Environmental Medicine has performed a preliminary assessment of the health impact attributable to road freight traffic in Italy. Methods: We estimated fine particulate matter (PM10, PM2.5) and nitrogen oxides (NOx) generated by road transportation of goods in Italy considering the number of trucks, the emission factors and the average annual distance covered in the year 2016. Simulations on data concerning Years of Life Lost (YLL) attributable to PM2.5 (593,700) and nitrogen oxides NO2 (200,700) provided by the European Environmental Agency (EEA) were used as a proxy of healthcare burden. We set three different healthcare burden scenarios, varying from 1/5 to 1/10 of the proportion of the overall particulate matter attributable to road freight traffic in Italy (about 7% on a total of 2262 tons/year). Results: Road freight traffic in Italy produced about 189 tons of PM10, 147 tons of PM2.5 and 4125 tons of NOx in year 2016, resulting in annual healthcare costs varying from 400 million up to 1.2 billion EUR per year. Conclusion: Road freight traffic has a relevant impact on air pollution and healthcare costs, especially if considered over a 10-year period. Any solution able to significantly reduce the road transportation of goods could decrease avoidable mortality due to air pollution and related costs.
46
Fischer, Michael J., and Elena K. Constantine. "Innovative Approaches to Regional Freight Transportation Planning: Case Study of Monterey Bay Region." Transportation Research Record: Journal of the Transportation Research Board 1522, no. 1 (January 1996): 27–37. http://dx.doi.org/10.1177/0361198196152200104.
Full textAbstract:
How a California metropolitan planning organization (MPO) overcame data limitations and developed innovative solutions to regional agricultural freight transportation problems is described. Data from government agencies and trade groups on annual fruit and vegetable production, fish landings, and wine production were combined with survey data on truck volumes and loading practices to develop novel approaches for estimating truck and rail trips. Similar methods were used to project future freight volumes by using key population, income, and agricultural productivity indexes to project agricultural production volumes and employment forecasts in the processed food industries and thereby forecast freight volumes in their industries. To identify problems and deficiencies in the system, new performance indicators such as number of internal truck trips per outbound line-haul trip, wait time per pickup, comparisons of hourly inbound and outbound line-haul truck trip distributions, and truck trips as a percent of total traffic volume on roadways with poor level of service were used. It was concluded that poor logistics planning, lack of coordinated information and communications about load availability, poor load consolidation practices, and inadequate truck parking and driver waiting facilities were among the biggest problems facing the region. A proposed freight logistics center, which may be developed as a public-private partnership, is now under consideration. The methods and programs developed in this study may have applications in other small to medium-sized MPOs.
47
Nurhayati, Yati, and Yunitha Ardiani Nur. "Peran Jasa Ground Handling Terhadap Pelayanan Perusahaan Air Freight di Bali dalam Menghadapi Kompetisi Global." WARTA ARDHIA 42, no. 1 (September 23, 2017): 43. http://dx.doi.org/10.25104/wa.v42i1.291.43-56.
Full textAbstract:
Salah satu kunci keberhasilan dari sebuah perusahaan pengiriman barang terletak pada kegiatan handling barang yang efektif dan efisien. Untuk dapat berkompetisi dengan baik dengan acuan waktu pelayanan yang efisien, perusahaan jasa airfreight memerlukan kerjasama dengan perusahaan jasa ground handling (PT Jasa Angkasa Semesta dan PT Gapura Angkasa) agar dapat memenuhi kebutuhan pelanggan. Di sinilah letak peran penting perusahaan jasa ground handling terhadap bisnis air cargo. Sesuai dengan konsep aliran logistik secara terpadu maka selayaknya tidak ada sekat (boundary) atau pisahan antara perusahaan jasa ground handling dan airfreight dalam operasionalnya. Keduanya bersama-sama dengan maskapai penerbangan merupakan satu kesatuan untuk tujuan yang sama mengirim cargo pelanggan tepat waktu. Strategi apa yang akan digunakan perusahaan jasa airfreight bergantung kepada perhitungan IFAS dan EFAS untuk mencari titik absis dan ordinat yang menunjukkan posisi strategis perusahaan airfreight saat ini. Sebagai alat analisis kualitatif, analisis SWOT (Strength, Weaknesses, Opportunities, dan Threat) memadai untuk mengetahui posisi strategis perusahaan airfreight dan mengatur langkah strategi apa yang akan digunakan. Kerjasama antara airfreight dan ground handling ini diharapkan akan menghasilkan jasa pelayanan air cargo dengan total waktu proses yang relatif cepat.
[The Role of Ground Handling Services to The Air Freight Services in Bali in The Face of Global Competition] One of the successful key of freight forwarder companies lies in their handling operations that executed effectively and efficiently. Most of the companies that can stay competitive in this transportation services business are those which operated with relatively short time in unloading and loading the cargo. In order to make their companies well competed with reference to efficient services time, air freight services companies need to cooperate with ground handling services companies (PT Jasa Angkasa Semesta and PT Gapura Angkasa) so that customer needs can be fulfilled. And that is the important role of ground handling services in the air freight business. In accordance with the integrated logistic flow concept, there should be no operational boundaries between ground handling services companies and air freight services companies. Both of them, together with the airlines, are an entity with the same purpose: to handle the customer cargo right in time. The strategy that will be used by air freight services companies rely on IFAS and EFAS calculation in order to find the correct abscissa and ordinate that indicate the strategic position of the companies at the moment. SWOT (Strengths, Weaknesses, Opportunities, and Threats) used as the tool of qualitative analysis not only for indicating the strategic position of the air freight services companies but also for managing the strategic measures that will be taken. The awareness of strengths, weaknesses, opportunities, and threats of the air freight services companies can be used as the benefit in the cooperation with the other services companies, especially ground handling and airlines. The role of ground handling in improving the strengths and using the opportunities while reducing weaknesses and threats is crucial for air freight operations. Thus, cooperation between air freight and ground handling is expected in providing quick processing-cargo services.
48
Chou, Chien-Chang. "An Empirical Study on Port Choice Behaviors of Shippers in a Multiple-Port Region." Marine Technology Society Journal 43, no. 3 (August 1, 2009): 71–77. http://dx.doi.org/10.4031/mtsj.43.3.7.
Full textAbstract:
AbstractIn the international trade cargo logistics system, the port choice of the shipper is seen to depend not only on transportation costs, but also on the value of the cargoes being shipped. In many previous studies, researchers have assumed that the ultimate aim of shippers when making port choices was to minimize inland freight costs. They then used that assumption to develop mathematical programming models for port choices. In practice, however, when making decisions about port choices, shippers always focus on total logistics costs. In other words, shippers not only aim to minimize the inland freight costs but also consider the frequency of ship callings. Thus, in this paper, a mathematical programming model for port choice of shippers, which not only considers inland freight costs but also takes into account the frequency of ship callings, is proposed and tested using a Taiwanese port case. The results show that the model proposed in this paper can be used to explain the actual port choice behaviors of Taiwanese shippers accurately.
49
Pålsson, Henrik, and Ola Johansson. "Reducing transportation emissions." Benchmarking: An International Journal 23, no. 3 (April 4, 2016): 674–703. http://dx.doi.org/10.1108/bij-03-2014-0025.
Full textAbstract:
Purpose – The purpose of this paper is to examine the intention of companies to reduce transportation emissions by 2020 and the barriers and the discriminating factors that affect the reduction. Design/methodology/approach – A literature review identified potential logistical and technical actions and their barriers, and discriminating factors for reducing transportation emissions. A survey of freight transport-intensive industries in Sweden examined the effects of, intention for implementation of and barriers to 12 actions to reduce CO2 emissions from freight transportation. In total, 172 logistics managers responded, representing a response rate of 40.3 per cent. Findings – Logistics service providers (LSPs) and freight owners are likely to reduce a considerable amount of CO2 emissions from freight transportation by 2020 using a combination of actions. The lowest level of confidence was for reducing CO2 emissions by changing logistics structures, while there was greater confidence by means of operational changes. The actions have few barriers, but there is often a combination of barriers to overcome. Three discriminating factors influence the intention of a firm to reduce transportation emissions: perceived potential, company size and LSP/freight owner. The industrial sector of a freight owner has minor influence. Companies that are particularly likely to reduce emissions are LSPs, large companies, and those that perceive a large reduction potential. Research limitations/implications – Logistical and technical barriers appear to hinder companies from implementing actions, while organisational barriers and external prerequisites do not. Barriers cannot be used to predict companies’ intentions to reduce transportation emissions. The authors examined the impact of three discriminating factors on reduction of transportation emissions. The research is based on perceptions of well-informed managers and on companies in Sweden. Practical implications – The findings can be used by managers to identify firms for benchmarking initiatives and emissions-reducing strategies. Originality/value – The study provides insights into intended CO2 reductions in transportation by 2020. It presents new knowledge regarding barriers and discriminating factors for implementing actions to reduce transportation emissions.
50
Silva, Kaique, Renato da Silva Lima, Roberta Alves, Wilfredo F. Yushimito, and José Holguín-Veras. "Freight and Service Parking Needs in Historical Centers: A Case Study in São João Del Rei, Brazil." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 11 (September 5, 2020): 352–66. http://dx.doi.org/10.1177/0361198120943888.
Full textAbstract:
The objective of this study is to analyze the demand for loading and unloading parking spaces in the center of São João Del Rei, a historical city in the State of Minas Gerais, Brazil, through freight trip generation models. To generate the models, the number of employees is used as an independent variable. Results show that the historical center receives an average of 710 freight trips per day, which would require at least 43 spaces for loading and unloading. As the center has only eight such spaces available, representing 18% of total demand, this study proposes new locations and suggests transportation demand management measures that could be used in conjunction with the allocation of new parking spots.