Municipal solid waste transportation optimisation with vehicle routing approach: case study of Pontianak City, West Kalimantan

Kamal, Muhammad Arif; Youlla, Donna

doi:10.1088/1755-1315/131/1/012057

Cited by 3 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Software system is the core of the whole remote monitoring system, which is responsible for the data exchange, operation, storage, display and other processing functions, including monitoring center system, geographic information system and database (Kamal and Youlla, 2018). On the basis of the theory of logistics monitoring system construction, the system construction is carried out on the basis of analyzing the characteristics, objectives and composition of urban solid waste logistics system.…”

Section: Solid Wastementioning

confidence: 99%

Monitoring and Control System for Logistics Protection and Transportation of Urban Solid Waste based on Big Data

2020

Global NEST: The International Journal

View full text Add to dashboard Cite

<p>Aiming at the problems existing in the traditional monitoring system for logistics protection and transportation of solid waste, the optimization design of logistics protection and transportation monitoring system is realized by using big data analysis technology from two aspects of hardware and software. In terms of hardware, the basic structure of the system server, internal components and connection circuit are modified, and the on-board weighing device is installed on the logistics transport vehicle. On the basis of the completion of hardware system installation, the interface of the system is designed and the database is built. The monitoring function of the system is realized through linking communication links, locating vehicle transportation location, real-time monitoring of transportation process, automatic weighing and abnormal alarm of logistics protection, so as to complete the optimization design of the software system. The experimental results show that compared with the traditional system, the response speed of the designed monitoring system for logistics protection and transportation increases by 67.6%.</p>

show abstract

Section: Solid Wastementioning

confidence: 99%

Monitoring and Control System for Logistics Protection and Transportation of Urban Solid Waste based on Big Data

2020

Global NEST: The International Journal

View full text Add to dashboard Cite

show abstract

Prospects and challenges of ripple spreading algorithm for waste collection path optimization problem in Indonesia

Miftahadi

Ramadan

Rachman

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Nowadays, countering the complexity of waste collection path optimization problems (POP) are reliably solved through evolutionary computation (EC). However, a sustainable collection strategy requires a specific rule and outcome for a given route network. Most waste managers are concerned with expenditure, work hours, and ecological footprints, combined with model flexibility to mimic real-life execution for the specific study case. Contemporary stochastic and deterministic POP methods are every so often confronted with optimality and scalability. Beyond its predecessor, namely the A* and the Dijkstra algorithm, a fundamental nature-based deterministic algorithm called a Ripple-Spreading Algorithm (RSA) had performed a straightforward heuristic evaluation. This study investigates prospects and future challenges in developing the RSA simulation based on Indonesia’s waste management scope. Specific overseas theme literature was employed to explore the possible research setting.

show abstract

Universal Decision Support System for Selection of MSW Route Optimization Method

Omar

Gazder

Aljuboori

et al. 2022

International Journal of Computers

View full text Add to dashboard Cite

Municipal Solid Waste (MSW) collection utilizes the highest percentage of the MSW management budget. Additionally, choosing a vehicle route optimization method is complex, difficult and does not always yield the most practical approach. There is limited published information about a decision support system (DSS) that assists in selecting the appropriate route optimization algorithm. This study aims to design and develop a universal DSS framework that suggests effective route optimization method(s). The system consists of 21 optimization data items and four criteria that assess the available constraints and recommends the most suitable optimization method(s). The DSS prototype was validated by testing it on the available literature and observing if the suggested method by the system complies with that utilized by the researchers. It was found that the system was able to predict the method which is used in 73% of studies. Moreover, the system suggested an enhanced version of the methods used in 18% of studies. It could be concluded that the proposed framework can help to select the best algorithms in almost all existing scenarios that have been used during development. Therefore, it is recommended to use the framework for selecting the appropriate route optimization algorithm for MSW collection.

show abstract

Municipal solid waste transportation optimisation with vehicle routing approach: case study of Pontianak City, West Kalimantan

Cited by 3 publications

References 6 publications

Monitoring and Control System for Logistics Protection and Transportation of Urban Solid Waste based on Big Data

Monitoring and Control System for Logistics Protection and Transportation of Urban Solid Waste based on Big Data

Prospects and challenges of ripple spreading algorithm for waste collection path optimization problem in Indonesia

Universal Decision Support System for Selection of MSW Route Optimization Method

Contact Info

Product

Resources

About