Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 156 - 171
Published: Jan. 1, 2024
Language: Английский
Computers in Industry, Journal Year: 2025, Volume and Issue: 166, P. 104234 - 104234
Published: Jan. 5, 2025
Language: Английский
Citations
1
Waste Management, Journal Year: 2025, Volume and Issue: 194, P. 36 - 44
Published: Jan. 7, 2025
We explore the application of machine learning (ML) techniques to forecast door-to-door waste collection, addressing challenges in municipal solid (MSW) management. ML models offer a promising solution optimize collection operations, especially amid growing urban populations and evolving generation rates. Leveraging comprehensive data from northeastern Italian municipality, including various types, our study investigates algorithms' efficacy predicting household requirements. examine two key tasks: daily exposure likelihood forecasting fulfilled pickups over monthly weekly periods. Both tasks are developed at user level, behavior based on features that describe user. split its temporal distribution evaluated by future period, using earlier periods train models. This addresses novel challenging scenario, as, best knowledge, no prior work has specifically focused management techniques. Results highlight models' potential enhancing efficiency, aiding route planning, resource allocation, environmental sustainability areas. Additionally, findings underscore importance tailoring strategies categories pickup frequencies for optimal performance.
Language: Английский
Citations
0
OR Spectrum, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 8, 2025
Language: Английский
Citations
0
Springer optimization and its applications, Journal Year: 2025, Volume and Issue: unknown, P. 203 - 257
Published: Jan. 1, 2025
Language: Английский
Citations
0
Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2723 - 2723
Published: March 19, 2025
In the sustainability concept, one of most important areas is sustainable waste management, a system that significantly impacts both economic and social well-being. The aim this paper to create unique model can contribute better more promising management in local governments order increase level sustainability. scientific contribution novelty research reflected developing Fuzzy M-FullEX (Modified Fuller’s triangle approach extended) method for defining fuzzy weight coefficients criteria its integration with ROV (range value) ranking multifunctional machines. developed study encompasses 10 seven alternative solutions, including two aforementioned MCDM (multi-criteria decision-making) methods Bonferroni operator averaging expert assessments. results M-FullEX-Fuzzy based on preferences three experts define best machine efficient which Venieri. rankings are as follows: M1 > M3 M2 M4 M5 M6 M7. obtained were confirmed through extensive analysis (sensitivity, comparative analysis, correlation coefficients, different matrix size) discussion.
Language: Английский
Citations
0
Administrative Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 144 - 144
Published: April 16, 2025
Innovation in public sector management is essential for improving service delivery and strengthening citizen trust. However, highly populated municipalities with budgetary constraints, such as Ecatepec de Morelos, administrative opacity inefficiencies the provision of services pose significant structural challenges. This study examines relationship between citizens’ perceptions resource quality municipal services, a particular focus on transparency accountability. Through perception surveys, statistical analysis, documentary review, research identifies operational barriers affecting basic potable water, sanitation, lighting. The findings reveal high levels dissatisfaction distrust local institutions, highlighting urgent need to implement innovative strategies optimize allocation enhance governance. contributes ongoing discussion modernization by emphasizing participatory decision-making mechanisms, strengthened transparency, adoption best practices management.
Language: Английский
Citations
0
Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111136 - 111136
Published: April 1, 2025
Language: Английский
Citations
0
Supply Chain Analytics, Journal Year: 2025, Volume and Issue: unknown, P. 100126 - 100126
Published: April 1, 2025
Language: Английский
Citations
0
European Journal of Operational Research, Journal Year: 2025, Volume and Issue: unknown
Published: May 1, 2025
Language: Английский
Citations
0
Networks, Journal Year: 2025, Volume and Issue: unknown
Published: May 5, 2025
ABSTRACT The global demand for sustainable waste management has spurred initiatives to improve the efficiency of urban collection, discussing advantages and disadvantages different systems. We analyze a new combined collection problem that uses two systems simultaneously: point‐to‐point system, in which is collected using trucks, an automated where from inlets transported through network pipes. resulting two‐stage decision problem: At first stage, each point, it must be decided whether served by truck or pneumatic system. second Capacitated Vehicle Routing Problem (CVRP) solved points truck, cost‐minimal tree determined assigned Both stages respective problems are interdependent, making optimization whole system difficult task. develop holistic solution approach based on set‐partitioning formulation utilizing route variables. Because large number variables, we solve heuristically column‐generation‐based matheuristic. subproblems elementary shortest‐path with capacity constraints variant node‐weighted Steiner problem. Our empirically evaluated datasets, extended well‐known CVRP benchmark real‐world data Vienna. results indicate proposed matheuristic can provide high‐quality solutions realistic instances
Language: Английский
Citations
0