A decision support tool for intelligent manufacturing systems via an elevator kinematic optimisation based method

Luangpaiboon, Pongchanun; Aungkulanon, Pasura; Montemanni, Roberto

doi:10.1016/j.eswa.2022.117576

Cited by 3 publications

(3 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, the creation of a hybrid computing system can help in a number of future scenarios. Preliminary research using the large neighborhood search algorithm suggests that developing new hybrid algorithms to improve BSF results is a viable strategy 56 .…”

Section: Numerical Resultsmentioning

confidence: 99%

Location management for the supply of PD fluid via large neighborhood search based virus optimization algorithm

Atthirawong

Luangpaiboon

2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

The facility location problem is extended by a new two-stage zero-one programming system (2S-ZOPS). It is a type of design optimization issue that exists in logistics implementations such as supply chain planning in healthcare or agriculture. Along with concerns regarding PD delivery time manner for connecting logistics centers and customers, recent studies have considered the zero-one location design model. This research discussed a route selection model for the 2S-ZOPS that did not exist in the published studies by taking into account the level of risk associated with physical appearance. The mathematical models were developed in response to a PD supply chain design that occurred in Thailand’s National Health Insurance Program. By combining the virus optimization algorithm (VOA) with a large neighborhood search (LNS), we created a hybrid metaheuristic method for solving the 2S-ZOPS. Experiments with real-world data demonstrated that the hybrid algorithm was efficient in terms of time consumption and solution quality, saving approximately 6% on total costs. The presented practice benefits not only the healthcare industry but also various other businesses.

show abstract

Section: Numerical Resultsmentioning

confidence: 99%

Location management for the supply of PD fluid via large neighborhood search based virus optimization algorithm

Atthirawong

Luangpaiboon

2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…The information obtained during processing aids in the executives' hasty decision-making (Figure 1). Decision making systems comprise sub-components of data management, mathematical model management, and user interaction management [54]. Data management subcomponents include databases, database management systems, verifiability, data indexes, data extraction, and information obtained from various sources, either directly from government agencies or from the private sector.…”

Section: Decision Making Systems (Dms)mentioning

confidence: 99%

“…Data management subcomponents include databases, database management systems, verifiability, data indexes, data extraction, and information obtained from various sources, either directly from government agencies or from the private sector. In order to retrieve or validate information Decision making systems comprise sub-components of data management, mathematical model management, and user interaction management [54]. Data management sub-components include databases, database management systems, verifiability, data indexes, data extraction, and information obtained from various sources, either directly from government agencies or from the private sector.…”

Section: Decision Making Systems (Dms)mentioning

confidence: 99%

Fuzzy Analytical Hierarchy Process for Strategic Decision Making in Electric Vehicle Adoption

2023

Self Cite

View full text Add to dashboard Cite

In response to the requirement to address the global climate crisis in urban areas caused by the logistics sector, an increasing number of governments around the world have begun aggressive strategic actions to encourage manufacturers and consumers to adopt electric vehicle (EV) technology. One of the most beneficial aspects of driving an EV is that it reduces pollution while also reducing the use of fossil fuels, as well as improving public health by improving local air quality. Nevertheless, the level of EV adoption differs significantly across markets and geographies. EV adoption barriers slow the overall rate of electric mobility. This study ranks a list of obstacles and sub-hindrances to the adoption of electric vehicles in Thailand using the Fuzzy Analytical Hierarchy Process (FAHP), a Multi-Criteria Decision Making (MCDM) technique. The results showed that infrastructure policy barrier (A), which had the highest weight of 0.6058, was the biggest barrier to EV adoption, followed by technological barrier (B) with a weight of 0.2657, and then by market barrier with a weight of 0.1285. Insufficient charging infrastructure network (A3), lack of proper government support/incentives and collaboration (A1), insufficient electric power supply (A2), high capital cost (C3), and EV charging time (B3) were key sub-barriers to EV adoption in Thailand. Decision Making Systems (DMS) have additionally been created to assist executives in making decisions about the aforementioned barriers. The DMS is based on the concept of computer-aided decision making in that it allows for direct user interaction, analysis, and the ability to change circumstances and the decision-making process based on the executives’ own experience and abilities. Thus, the findings of this study aid in the formulation of market strategies for relevant stakeholders and shed light on potential policy responses.

show abstract

Hybridization of Statistical Learning with Elevator Kinematic Optimization Algorithm: A Case Study of an Industrial Estate on Estimating Solid Waste

Luangpaiboon,

Visuwan

2024

2024 9th International Conference on Machine Learning Technologies (ICMLT)

View full text Add to dashboard Cite

A decision support tool for intelligent manufacturing systems via an elevator kinematic optimisation based method

Cited by 3 publications

References 41 publications

Location management for the supply of PD fluid via large neighborhood search based virus optimization algorithm

Location management for the supply of PD fluid via large neighborhood search based virus optimization algorithm

Fuzzy Analytical Hierarchy Process for Strategic Decision Making in Electric Vehicle Adoption

Hybridization of Statistical Learning with Elevator Kinematic Optimization Algorithm: A Case Study of an Industrial Estate on Estimating Solid Waste

Contact Info

Product

Resources

About