The Optimization of Transportation Costs in Logistics Enterprises during the Covid-19 Pandemic

2021 ◽  
Vol 1 (2) ◽  
pp. 62-71
Author(s):  
Thai Thanh Sang ◽  
Nguyen Minh Thu ◽  
Truong Hoang Khoi ◽  
Nguyen Thi Kim Huong ◽  
Le Thi Ngoc Lan ◽  
...  
Keyword(s):  
Travel Demand ◽  
Low Cost ◽  
Ho Chi Minh City ◽  
Decision Making Process ◽  
Transportation Industry ◽  
Efficient Operation ◽  
Total Cost ◽  
Logistics Enterprises ◽  
Complex Development ◽  
Transportation Plan

The Covid-19 pandemic has had a significant impact on every industry globally, especially the transportation industry being severely disrupted. With people's travel demand at an all-time low, maintaining the country's transportation infrastructure is crucial to ensure the movement of essential goods. However, the Vietnamese government’s decision to apply social distancing measures to limit and prevent the spread of the disease has generated extreme challenges in the freight transport industry, which have harmed the Vietnamese economy by restricting levels of business activity, causing the movement and distribution of essential commodities to be halted. Based on the practical needs of transportation enterprises, this study proposes a low-cost freight allocation strategy using mix-integer linear programming approaches to ensure an efficient operation for businesses in order to resume normal operations in the context of the Covid-19 epidemic's complex development. The research focuses on developing a mathematical model with an objective function that minimizes total cost and associated constraints. The findings of the study point to the development of a solution that solves businesses problems in determining the optimal transportation plan and assist in making decisions on allocating goods to suitable locations, ensuring the quantity of serving the needs of each district in Ho Chi Minh City, minimizing transportation time while still saving costs. Furthermore, the article aids a decision-making process for other transportation industries.

scholarly journals Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

Vibration ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 551-584
Author(s):  
Samir Mustapha ◽  
Ye Lu ◽  
Ching-Tai Ng ◽  
Pawel Malinowski
Keyword(s):  
Sensor Networks ◽  
Health Monitoring ◽  
Data Transmission ◽  
System Integration ◽  
Structural Integrity ◽  
Low Cost ◽  
Data Communication ◽  
Total Cost ◽  
Design And Optimization ◽  
Successful Case

The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide a robust and low-cost solution for monitoring the structural integrity of and the ability to predict the remaining life of structures. In this review, we aim at focusing on one of the important issues of SHM, the design, and implementation of sensor networks. Location and number of sensors, in any SHM system, are of high importance as they impact the system integration, system performance, and accuracy of assessment, as well as the total cost. Hence we are interested in shedding the light on the sensor networks as an essential component of SHM systems. The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission, and analytics. Finally, we presented some successful case studies including the challenges and limitations associated with the sensor networks.

scholarly journals On Transforming Unused Urban Spaces to Social Housing for Self-Employed People in Ho Chi Minh City: An Architectural Space Design Proposal

2021 ◽  
Vol 13 (21) ◽  
pp. 12175
Author(s):  
Le-Minh Ngo ◽  
Hai-Binh Nguyen ◽  
Thi-Phuong Uyen Nguyen ◽  
Thi-Minh Dieu Nguyen
Keyword(s):  
Low Income ◽  
Social Housing ◽  
Urban Areas ◽  
Low Cost ◽  
Legal Framework ◽  
Operating Conditions ◽  
Urban Spaces ◽  
Ho Chi Minh City ◽  
Residential Areas ◽  
Property Market

As with many metropolitan areas, social housing (SH) provision, which can improve living standards and social welfare, is crucial for urban socio-economic development strategies in Ho Chi Minh City (HCMC). However, there have been issues relating to promoting social housing in the Vietnamese context resulting from the property market and the design. The former is a failure to attract investors. The latter relates to lacking housing models for the mid- and low-income communities. Currently, many low-income families who have low access to the general job market in HCMC have to make a living by running their own business at home. This situation leads to low-income housing establishments in some residential areas. Thus, the planning approach in social housing needs to solve both the demand for low-cost housing and promoting self-employed activities. In this paper, mixed methods, including observation, questionnaires, interviews, data aggregation, and comparison, were conducted with supporting legal conditions and corresponding operating conditions to propose appropriate designs for the SH for self-employed people in HCMC. First, observing and analyzing urban spaces helped identify the unused urban areas that solve the investment issue. Then, after studying the development of social housing in different contexts via the questionnaire and in-depth interviews, self-employed households’ basic information and their business needs in using SH spaces were identified in some districts. Then, based on the legal framework and practical projects, optimal space designs were formed.

An EOQ model with stepwise ordering cost and the finite planning horizon under carbon cap-and-trade regulations

2021 ◽  
Vol 10 (3) ◽  
pp. 337-350
Author(s):  
Tzu-Chia Chen ◽  
Shu-Yan Yu
Keyword(s):  
Low Cost ◽  
Planning Horizon ◽  
Finite Horizon ◽  
Optimal Order ◽  
Fixed Cost ◽  
Cap And Trade ◽  
Total Cost ◽  
Eoq Model ◽  
Finite Planning Horizon ◽  
Ordering Quantity

In this study, under the carbon cap-and-trade mechanism, the ordering cost presents a stepwise function for ordering quantity, and the optimal economic ordering quantity model aims to explore the manufacturer's total cost minimization in the finite planning horizon, in combination with the actual situation that the product will produce carbon emissions during transportation and storage. The economic order quantity (EOQ) model with stepwise ordering cost is applicable to the decision environment in which goods are utilized by sea, by rail or by air (e.g., the order cost is charged in addition to the basic fixed cost, the importer of raw materials will pay an additional freight related to delivery, such as the rent for the use of container numbers.). A heuristic algorithm is also proposed to analyze the relevant properties of the optimal solution of the model and to solve the optimal order times and quantities of the manufacturer under the constraint of carbon policy.We further compared the optimal order times with the case without carbon constraint and the order times corresponding to the manufacturer's realization of the minimum carbon emission, and obtained the conditions for the manufacturer to achieve low cost and low emission under the carbon policy.Finally, the theoretical results of the model are verified by numerical examples,and the influence of relevant parameters on the inventory strategy of manufacturers is discussed. The results show that under the carbon cap-and-trade policy, there is an optimal ordering strategy that minimizes the total cost of the manufacturer in the finite horizon. When the demand of the manufacturer is under finite horizon and the carbon policy is equal to the specific multiplier of orders, the manufacturer can achieve a win-win result of low cost and low emissions.

Research and Application of Efficient Operation Technology

2014 ◽  
Vol 1030-1032 ◽  
pp. 1760-1763
Author(s):  
Yan Xia Li ◽  
Zheng Long Shao ◽  
Nai Jia Liu ◽  
Yu Peng
Keyword(s):  
Performance Evaluation ◽  
High Efficiency ◽  
Low Cost ◽  
End Users ◽  
Application Performance ◽  
Efficient Operation ◽  
High Satisfaction ◽  
Virtualization Technology ◽  
Efficient Integration

With the development of information, the number of applications is growing. The questions of cost, support, risk and safety also arise. In order to realize low cost and high efficiency, we have studied the efficient operation technologies, including application isolation technology, virtualization technology, performance evaluation technology, etc. Using these technologies, we have realized efficient integration of operation resources, comprehensive optimization of application performance, and high satisfaction of end users.

Evaluation of a Low-Cost Program of Road System Traffic Safety Reviews for County Highways

2003 ◽  
Vol 1819 (1) ◽  
pp. 231-236 ◽  
Author(s):  
Stephen H. Ford ◽  
Eugene C. Calvert
Keyword(s):  
Traffic Safety ◽  
Low Cost ◽  
Department Of Transportation ◽  
Rural County ◽  
California Department ◽  
Total Cost ◽  
The Road ◽  
Mendocino County ◽  
Accident Data ◽  
Road System

Mendocino County is a large rural county in northern California with more than 1,000 centerline miles of county-maintained roads. The terrain is mountainous, with a few small inland valleys. During the 1990s, the Mendocino County Department of Transportation developed a program of road system traffic safety reviews to improve signing and markings on the arterials and collectors in the system. The effectiveness of the program was measured by comparing accident data for the reviewed roads with data for roads not included in, or influenced by, the reviews. To control for different groups of factors, two sets of control roads were selected—county-maintained roads not reviewed and state highways within the county. Over two consecutive 3-year review cycles, the number of accidents on the reviewed roads fell by 42.1%, while on the county-maintained roads not reviewed they increased by 26.5%, and on the state highways they fell by 3.3%. The total cost to conduct the reviews and implement the recommended changes was $ 79,300. The accident histories of the control roads were used to define the limits of the range of probable benefits. On the basis of average accident costs provided by the California Department of Transportation, calculated savings ranged from $ 12.58 million to $23.73 million, yielding a costs-to-benefits ratio between 1:159 and 1:299. The county is expanding the road system traffic safety review program to cover its entire maintained road system.

A novel optimisation model in the collaborative supply chain with production time capacity consideration

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Ridwan Andi Purnomo ◽  
Adhe Rizky Anugerah ◽  
Salvia Fatma Aulia ◽  
Abdullah ‘Azzam
Keyword(s):  
Supply Chain ◽  
Low Cost ◽  
Transportation Cost ◽  
Production Costs ◽  
Furniture Industry ◽  
Production Time ◽  
Content Type ◽  
Total Cost ◽  
Penalty Cost ◽  
Optimisation Model

Purpose This study aims to propose an optimal procurement model of the collaborative supply chain in the furniture industry. The final output is the total cost minimisation to produce a furniture product that covers material cost, processing cost, transportation cost and holding cost. Therefore, if companies can give the best value to customers at a low cost, then competitive advantages can be achieved. Design/methodology/approach A genetic algorithm (GA) as a metaheuristic approach was used to solve problems in this research. The optimisation was initiated by developing a mathematical model to formulate the objective function. Findings Based on the case study, the proposed GA model was able to reduce the total cost of production. The cost was reduced by 73.09% compared to the existing system. Besides, the production time of the proposed model is within the capacity of both companies; hence, no penalty cost is imposed. Practical implications The proposed GA model has been implemented and tested to minimise production costs in the Indonesian furniture industry. Originality/value To the best of author knowledge, there is no research has proposed an optimisation model that incorporates production cost, transportation cost and production time capacity together in the collaborative supply chain. This research is the first to collaborate these factors using GA in the furniture industry.

scholarly journals Optimization Model of Pure Electric Vehicle Battery-Swapping Dispatch Based on Transportation Problems

2020 ◽  
Vol 185 ◽  
pp. 01026
Author(s):  
Shengdong Zu ◽  
Lijiang Sun
Keyword(s):  
Electric Vehicle ◽  
Optimization Model ◽  
Decision Making Process ◽  
Multi Objective Optimization ◽  
Factors Affecting ◽  
Total Cost ◽  
Transportation Problems ◽  
Charging Station ◽  
Electric Vehicle Battery ◽  
The Cost

The optimization object of pure electric vehicle battery-swapping service dispatch is making the total cost to be minimum under the condition of meeting the battery-swapping demand. The battery-swapping service requires each charging station to scientifically transport the supplementary batteries of the electricity exchange station. It is a multi-objective optimization decision-making process. With the object of minimizing the total cost of one-time transportation, applying the transportation problems theory, an optimization model of the battery-swapping service between the charging station and the exchange station was established, and a typical example was analyzed. The results show that the battery-swapping service transportation line is one of the main factors affecting the cost of pure electric vehicle battery-swapping service dispatch.

Transit Travel Demand Analysis Method Based on APTS Multi-Source Data

2013 ◽  
Vol 361-363 ◽  
pp. 2122-2126
Author(s):  
Jun Chen ◽  
Xiao Hua Li ◽  
Lan Ma
Keyword(s):  
Public Transportation ◽  
Large Scale ◽  
Travel Demand ◽  
Low Cost ◽  
Transportation Systems ◽  
Demand Analysis ◽  
Sample Survey ◽  
Analysis Method ◽  
Source Data ◽  
Bus Stops

Traditional transit travel information is acquired by Trip Sample Survey which has some disadvantages including high cost and short data lifecycle. This paper researched transit travel demand analysis method using Advanced Public Transportation Systems (APTS) data. The study collected APTS data of Nanning City in China and established APTS multi-source data analysis platform applying data warehouse technology. Based on key problems research, the paper presented the analysis procedure and content. Then, this study proposed the core algorithms of the method which are determinations of boarding bus stops, alighting bus stops and transfer bus stops of smart card passengers. Finally, these algorithms programs are experimented using large scale practical APTS data. The results show that this analysis method is low cost, operability and high accuracy.

Quantifying Access Management on Arterial Roadways

2018 ◽  
Vol 2672 (17) ◽  
pp. 129-139
Author(s):  
Lacy S. Brown ◽  
Karen K. Dixon ◽  
H. Gene Hawkins
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Decision Making Process ◽  
Transportation Industry ◽  
Access Management ◽  
Subjective Assessments ◽  
Delay Increase ◽  
Management Project ◽  
Land Use Development ◽  
And Performance

Research suggests that successfully implemented access management programs can reduce delay, increase capacity, and improve safety performance on single roadway segments and across larger roadway networks. However, quantifying how access management, as a single entity, might affect a transportation system is difficult because countless combinations of strategies can be implemented. Consequently, large-scale access management decisions are often based on subjective assessments and the engineering judgment of practitioners and decision makers. There is a need for a standard, objective, and quantifiable approach to evaluating the impacts and performance of large-scale access management applications. This paper presents a quantitative method for evaluating an access management project on factors including operations; safety; impacts to adjacent land uses; and bicycle, pedestrian, and transit facilities. The result is an access management rating (AMR), a numerical value that allows for straightforward comparisons between corridors or between design alternatives on the same corridor. The proposed methodology eliminates the subjective component of the decision-making process while maintaining enough flexibility to be tailored to a specific agency’s needs and priorities. By improving the consistency of access management evaluations, the decision-making process will be streamlined, funding will be allocated to projects with the greatest needs and opportunities for improvement, and the entire transportation industry will benefit from improved safety, operations, and land use development.

scholarly journals Design and Development of Non-Linearly Controlled Class-D Audio Amplifier

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 77
Author(s):  
Sridhar Joshi ◽  
Ravi Tripathi ◽  
Manoj Badoni ◽  
Rajeev Kumar ◽  
Pawan Khetrapal
Keyword(s):  
Sliding Mode ◽  
Low Cost ◽  
Peak Load ◽  
Harmonic Distortion ◽  
Resistive Load ◽  
Audio Frequency ◽  
Efficient Operation ◽  
Audio Amplifier ◽  
Viable Solution ◽  
Power Stage

A systematic and simple approach to develop a 20 W audio frequency range switch mode amplifier is presented in this paper. A non-linear sliding mode (SM) technique-based low cost analog controller enables the realized amplifier to deliver highly linear and efficient operation throughout the audio frequency spectrum. The theoretical aspects and practical limitations in the design and realization of subsystems, such as the signal conditioning stage, power stage and sliding mode controller, are considered, while the viable solution is also stated and justified. The hardware realization scheme is also elaborated, based on which the laboratory prototype is fabricated. Hardware results with a 4 Ω resistive load are given on which the performance of the amplifier is evaluated. The total harmonic distortion (THD) below 1% and 73% efficiency at peak load make the amplifier well suited for high quality audio application.

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