Line haul transport cost and pavement damage characteristics of some Ontario trucks

1990 ◽  
Vol 17 (1) ◽  
pp. 28-35 ◽  
Author(s):  
B. G. Hutchinson ◽  
J. J. L. Mallett
Keyword(s):  
Operating Cost ◽  
Cost Savings ◽  
Transportation Cost ◽  
Theoretical Models ◽  
Transportation Costs ◽  
Transport Cost ◽  
Public And Private ◽  
Damage Costs ◽  
Pavement Damage ◽  
The Impact

The factors contributing to the line haul transportation costs of very large trucks operating on the Ontario highway system are calculated from fundamental tractive resistance equations and tractive effort characteristics for two "weigh-out" commodity types and representative haul routes. These calculated costs are compared with some observed costs and earlier analyses to check the validity of the models. The theoretical models are then used to assess the impact on operating costs of a variety of truck parameters which include truck type and tire pressures. The pavement damage created by the different truck types are estimated and the damage costs compared with the savings in line haul transportation costs. It is concluded that the pavement damage impacts of different truck types should be carefully compared with potential line haul transportation cost savings to ensure that allowable truck configurations are economically efficient with respect to both public and private costs. Key words: highway engineering, pavement damage, pavement cost, truck operating cost, vehicle weights.

scholarly journals The impact of lumper costs, empty miles, and shipment size on the profitability of motor carriers: A case study

2002 ◽  
Vol 13 (1) ◽  
pp. 1-7
Author(s):  
Hokey Min
Keyword(s):  
Cost Savings ◽  
Transportation Cost ◽  
Transportation Costs ◽  
Trucking Industry ◽  
Actual Case ◽  
Motor Carrier ◽  
Motor Carriers ◽  
The Impact ◽  
The U.S

The passage of landmark deregulatory reforms in the Motor Carrier of Act of 1980 has constantly pressured the U.S. trucking industry to reduce transportation costs. Thanks to such pressure, total logistics costs have declined from 16.5% in 1980 to 10.1% of gross domestic product (GDP) in 2000. In particular, transportation costs have fallen from 7.6% to 5.9% of GDP in 2000. Transportation cost savings definitely benefit shippers, while jeopardizing the viability of carriers. To help transportation carriers cope with enormous cost pressure, this paper examines the impact that “lumper” costs, empty miles, and shipment size have on the very competitive trucking industry. Through an actual case study of a firm based in the Southeast U.S., we illustrate how lumper costs, empty front-haul and backhaul, and shipping weight and pieces can adversely affect the trucking firm’s profitability.

scholarly journals The Impact of Transportation Costs on Spatial Competition of Grain Buyers: An Iowa Case Study

2010 ◽  
Author(s):  
Miguel A. Carriquiry ◽  
Bruce A. Babcock
Keyword(s):  
Mississippi River ◽  
Spatial Competition ◽  
Transportation Cost ◽  
Transportation Costs ◽  
Lower Price ◽  
Classic Model ◽  
The North ◽  
Scott County ◽  
The Impact

Hotelling's classic model of spatial competition is adapted to estimate the impacts on grain price of the closure of one of three grain buyers on the Mississippi River in the vicinity of Scott County, Iowa. The customers of the buyer who is closing (River Gulf Grain Company) in Davenport, Iowa, are assumed to deliver their grain to a buyer in either Buffalo, Iowa, to the south or to a buyer in Clinton, Iowa, to the north. Calibration of Hotelling's framework to this situation leads to an estimated decline in grain bids of 1.5¢ per bushel for the buyer located in Clinton and by 2.5¢ per bushel for the buyer located in Buffalo. These estimates are based on an incremental transportation cost of 0.15¢ per mile between the seller's farm and the buyer. This price decline would reduce gross receipts of the farmers who currently deliver to Davenport by approximately $264,000 per year. The effect of lower price bids on gross receipts of all area farmers would be approximately $750,000 per year. Transportation costs would increase by an estimated $75,000 for those farmers who would have to haul their grain farther because of the closure.

scholarly journals A Deep Learning-Based Fault Detection Model for Optimization of Shipping Operations and Enhancement of Maritime Safety

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5658
Author(s):  
Panayiotis Theodoropoulos ◽  
Christos C. Spandonidis ◽  
Fotis Giannopoulos ◽  
Spilios Fassois
Keyword(s):  
Condition Monitoring ◽  
Continuous Process ◽  
Operating Cost ◽  
Essential Element ◽  
Cost Savings ◽  
Process Improvements ◽  
Detection Model ◽  
Efficiency Increase ◽  
Marine Engineering ◽  
The Impact

The ability to exploit data for obtaining useful and actionable information and for providing insights is an essential element for continuous process improvements. Recognizing the value of data as an asset, marine engineering puts data considerations at the core of system design. Used wisely, data can help the shipping sector to achieve operating cost savings and efficiency increase, higher safety, wellness of crew rates, and enhanced environmental protection and security of assets. The main goal of this study is to develop a methodology able to harmonize data collected from various sensors onboard and to implement a scalable and responsible artificial intelligence framework, to recognize patterns that indicate early signs of defective behavior in the operational state of the vessel. Specifically, the methodology examined in the present study is based on a 1D Convolutional Neural Network (CNN) being fed time series directly from the available dataset. For this endeavor, the dataset undergoes a preprocessing procedure. Aspiring to determine the effect of the parameters composing the networks and the values that ensure the best performance, a parametric inquiry is presented, determining the impact of the input period and the degree of degradation that our models identify adequately. The results provide an insightful picture of the applicability of 1D-CNN models in performing condition monitoring in ships, which is not thoroughly examined in the maritime sector for condition monitoring. The data modeling along with the development of the neural networks was undertaken with the Python programming language.

Towards a methodology for new technologies assessment in aircraft operating cost

2020 ◽  
pp. 095441002096467
Author(s):  
Valeria Vercella ◽  
Marco Fioriti ◽  
Nicole Viola
Keyword(s):  
New Technologies ◽  
Cost Model ◽  
Operating Cost ◽  
Cost Savings ◽  
Aircraft Design ◽  
Maintenance Costs ◽  
Direct Operating Cost ◽  
The Individual ◽  
Technological Improvements ◽  
The Impact

The need for a greener and competitive aircraft is leading to the use of new technologies. A thorough assessment of these technologies is mandatory from the initial phases of aircraft design to understand their feasibility and to select the most promising one both in terms of performances and in terms of costs. This paper proposes a methodology to assess the operating cost of innovative technologies for regional aircraft. In particular, two NASA studies have been adopted to determine the impact onto costs of MEA and AEA technologies and advanced ECS solutions for two innovative regional aircraft concepts developed during the European Clean Sky 2 research. The proposed methodology is able to assess the effect of on-board systems electrification level in terms of fuel and maintenance costs savings. The methodology, which allows to evaluate the effect of specific technological improvements onto costs, is applied exploiting the results provided by a reliable cost model and gives the opportunity to quantify operating cost savings for different regional aircraft. Applying the modified cost model to the reference aircraft under study, savings ranging from 1.6 to 3.1% of direct operating cost are estimated for MEA and AEA technologies. Greater savings are estimated for the individual cost items involved. More specifically, a reduction of fuel cost ranging from 6 to 14.5% is envisaged as a consequence of the lower SFC associated to innovative ECS technologies.

scholarly journals Investigating the Sustainable Impact of Seaport Infrastructure Provision on Maritime Component of Supply Chain

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3519
Author(s):  
Dariusz Bernacki ◽  
Christian Lis
Keyword(s):  
Economies Of Scale ◽  
Economic Effect ◽  
Operating Cost ◽  
Cost Savings ◽  
Economic Effects ◽  
Transport Cost ◽  
Maritime Transport ◽  
External Costs ◽  
Sea Transport ◽  
The Baltic

The aim of the research is to identify and quantify the direct economic effects resulting from the improved seaport nautical access and capacity expansion. This case study considers a regional port located in the Baltic sea and relates to port users, i.e., shipping operators and shippers. The effects were identified for maritime transport by comparing transport performance in two scenarios: with-the-investment and without-the-investment. Incremental calculus addresses freights (containers, dry bulk, and cereals) traded to and from the given port, changes in size of vessels, and the shipping route alternatives vis-a-vis adjacent ports in the range. Sustainable impact concerns generalized maritime transport cost, i.e., shipping operating costs and port-to-port transit time, as well as energy consumption and external costs of maritime shipping. To capture effects, daily and unit dry bulk, as well as container shipping cost, values of time, and marginal external costs were revealed in freight sea transport. As investigated, shipping operators and shippers will benefit from the reduction in ships’ operating (including ships’ fuel cost savings) and time cost, while the community will enjoy the reduction in externalities. However, the main economic effect is the reduction in shipping operating cost resulting from the increased vessel size (economies of scale).

scholarly journals PENENTUAN RUTE DISTRIBUSI PALLET MESH MENGGUNAKAN METODE SAVING MATRIX (STUDI KASUS : PT. MMM)

2021 ◽  
Vol 5 (1) ◽  
pp. 01-09
Author(s):  
Fery Darus Nasution (Universitas Singaperbangsa) ◽  
Ade Momon S (Universitas Singaperbangsa) ◽  
Risma Fitriani (Universitas Singaperbangsa)
Keyword(s):  
Matrix Method ◽  
Nearest Neighbor ◽  
Cost Savings ◽  
Transportation Cost ◽  
Product Distribution ◽  
Initial Distribution ◽  
Transportation Costs ◽  
Initial Cost ◽  
Efficient Route ◽  
Cost Of Transportation

AbstractDistribution of products from the company's warehouse PT. MMM to consumers so far the company only uses estimates of consumers which will be passed in one shipment only by looking at the number of requests without considering the shipping routes and distance from the warehouse to the location of the consumer. This study aims to determine an effective shipping route using the saving matrix and nearest neighbor methods then find out distance savings and transportation cost savings. Comparison of the product distribution routes of PT. MMM after using the saving matrix method and the nearest neighbor method results in an effective and efficient route where the initial distribution route is 40 routes into 7 routes for 7 days of product distribution to consumers. The saving matrix method is applied. shows a reduction in the distance of the original shipment of 1,673.6 Km to 810.7 Km, thus obtained a savings of a distance of 862.9 Km. As well as a significant reduction in transportation costs where the initial cost of transportation of Rp. 4,478,448.- dropped to Rp. 3,675,951.-, so the company can save on transportation costs by Rp. 802,497.-.AbstrakRute pendistribusian produk dari gudang perusahaan PT. MMM  ke para konsumen  selama ini perusahaan hanya menggunakan perkiraan konsumen mana yang akan dilalui dalam satu kali pengiriman, yaitu hanya dengan melihat jumlah permintaan tanpa mempertimbangkan rute pengiriman dan jarak tempuh dari gudang ke lokasi konsumen. Penelitian ini bertujuan untuk menentukan rute pengiriman yang efektif menggunakan metode saving matrix dan nearest neighbor, kemudian mengetahui penghematan jarak serta penghematan biaya transportasi. Perbandingan rute distribusi produk PT. MMM dengan menggunakan metode saving matrix dan metode nearest neighbor menghasilkan rute yang efektif dan efisien dimana rute awal distribusi sebanyak 40 rute menjadi 7 rute untuk 7 hari pendistribusian produk ke konsumen. Dengan diterapkannya metode saving matrix menunjukan penurunan jarak tempuh pengiriman yang semula 1.673,6 Km menjadi 810,7 Km, dengan demikian didapatkan penghematan jarak sebesar 862,9 Km. Serta menurunkan biaya transportasi yang signifikan dimana biaya awal transportasi sebesar Rp. 4.478.448.- turun menjadi Rp. 3.675.951.-, sehingga perusahaan dapat menghemat biaya transportasi sebesar Rp. 802.497

Development of a Congestion Management System Methodology for the Indiana State Highway Network

2002 ◽  
Vol 1781 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Kasem Choocharukul ◽  
Kumares C. Sinha ◽  
John L. Nagle
Keyword(s):  
Operating Cost ◽  
Cost Savings ◽  
Congestion Management ◽  
Incident Management ◽  
Signal Coordination ◽  
State Highway ◽  
Planning Project ◽  
Highway Network ◽  
Travel Time Savings ◽  
The Impact

A methodology for developing congestion management–related projects for the Indiana state highway network is described. The methodology is based on a sketch planning analysis technique that can be used with limited input data. The software package provides estimates of costs and other effects of potential congestion mitigation projects to undertake in a given year, which can be used by planners and programmers in long-range planning. Project types include road widening, high-occupancy-vehicle facilities, ramp metering, incident management, and arterial traffic signal coordination. The impact is assessed in travel time savings, vehicle operating cost savings, crash cost savings, and emission reductions. An example application of the methodology is given for the 7.81-mi segment of I-65 between Interchanges 116 and 123 in the Indianapolis area.

Transportation Cost, Fuel Subsidies, and Commodity Prices

2020 ◽  
Vol 19 (S1) ◽  
pp. s88-s97
Author(s):  
Habtamu Fuje
Keyword(s):  
Price Dispersion ◽  
Commodity Prices ◽  
Transportation Cost ◽  
Transportation Costs ◽  
High Price ◽  
Fuel Subsidies ◽  
National Capital ◽  
Huge Impact ◽  
The Impact ◽  
Subsidy Reform

AbstractDespite being at the forefront of the global policy agenda, fuel subsidy reform is understudied and its impact on trade is not particularly well understood. This type of reform could have a huge impact on market performance by increasing transportation costs. I present a case study from Ethiopia, which removed its fuel subsidies and increased the price of diesel price by 39% overnight on 4 October 2008. What is the impact of such an increase in diesel price on transportation costs and hence grain prices in developing countries such as Ethiopia? I use spatial difference-in-difference (sDID) on distance from major markets to assess the effects of removing the fuel subsidy on grain price dispersion. The sDID leverages distance from the national capital to investigate the impact of fuel subsidy reform on markets located at different distances from consumer centers. The results indicate that remote markets experienced high price dispersion compared to markets near the capital.

Benchmarking freight rates and procuring cost-attractive transportation services

2017 ◽  
Vol 28 (1) ◽  
pp. 194-205 ◽  
Author(s):  
Seong-Jong Joo ◽  
Hokey Min ◽  
Carlo Smith
Keyword(s):  
Statistical Significance ◽  
Transportation Cost ◽  
Freight Rate ◽  
Least Square ◽  
Transportation Costs ◽  
Content Type ◽  
Negotiation Strategies ◽  
Freight Rates ◽  
Carrier Selection ◽  
The Impact

Purpose The purpose of this paper is to help shippers determine a negotiation yardstick for transportation price and formulate wise transportation outsourcing strategies by examining the presence of freight rate differentials for shippers and identifying their main causes. This paper also develops a framework for benchmarking freight rates based on the actual data. Design/methodology/approach This paper proposes an additive dummy regression model to determine a statistical significance in shipping charges between different shippers. Unlike the traditional least square analysis, the proposed model is designed to avoid a biased assessment of the impact of an explanatory variable. Findings Through a series of empirical data analysis and hypothesis tests, the authors discovered that the fixed portion (minimum base charge) of shipping charges differed depending on the shipper’ individual contract, while the variable portion (fuel or accessorial charge) of shipping charges remained the same regardless of the shipper’s individual contract. As such, shippers who are unaware of flexible but unpredictable transportation pricing practices and unprepared for freight rate negotiation can suffer from higher shipping costs as compared to their peers. Thus, the authors conclude that the success of transportation outsourcing, carrier selection, and freight rate negotiation strategies tends to rest on the shipper’s ability to understand transportation cost structures and then determine the benchmark freight rate considered “fair” and “reasonable” for a given service. Originality/value This paper is one of the first to examine shipping cost differentials between different shippers and determine what causes such differentials. In doing so, this paper attempted to assess the potential impact of freight rate negotiation and carrier selection strategies on shippers’ transportation costs in current deregulatory environments where shippers were given a greater freedom to negotiate freight rates with carriers and an increased opportunity to save their transportation costs.

scholarly journals Os Portos do Arco Norte e a cadeia de exportação de carne bovina congelada: gargalos e ganhos econômicos

2020 ◽  
Vol 13 (1) ◽  
pp. 90
Author(s):  
Bruna Scotton ◽  
Nathan Gomes da Silva ◽  
Fernando Vinícius da Rocha ◽  
José Vicente Caixeta Filho
Keyword(s):  
Comparative Analysis ◽  
Consumer Demand ◽  
Cost Savings ◽  
Transportation Cost ◽  
Transportation Costs ◽  
Road Transportation ◽  
High Quality ◽  
Mato Grosso ◽  
Maritime Shipping ◽  
Export Flows

Consumer demand for consistently high quality meats has exposed a series of problems in the Brazilian frozen beef agro-industrial logistics chain arising from a lack of adequate infrastructure to cope with export flows. Based on interviews with the sector’s agents and on a comparative analysis of transportation costs, this paper aims to identify and evaluate infrastructure bottlenecks that affect the Brazilian frozen beef logistics chain and the economic gains that could be achieved by directing more frozen beef exports through the country’s Northern Arc ports. Among the results obtained from analyzes of frozen beef export flows from the state of Mato Grosso, the Brazilian state with the greatest number of plants that process beef for export, the use of Northern Arc ports can bring road transportation cost savings of up to 43% for some localities. It was also found that the lack of maritime shipping capacity, whether from restricted port capacity or infrequent ship departures, is one of the main logistical problems impeding the flow of frozen beef from ports inBrazil’s north.

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