Decision making for effective assembly machined parts selection using fuzzy AHP and fuzzy logic

Saivaew, Noppachai; Butdee, Suthep

doi:10.1016/j.matpr.2020.02.491

Cited by 14 publications

(7 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, the process model is applied as the same data source of process simulation, which improves the reliability of marine diesel engine manufacturing. Saivaew and Butdee [7] proposed AHP and Fuzzy Logic for making a decision of assembly process and selecting optimal plans for each stage of assembly. Yang et al [8] proposed a digital twin reference model for intelligent assembly process design, and proposed an application framework for DT-based smart assembly with three layers.…”

Section: Related Previous Workmentioning

confidence: 99%

An Intelligent Decision-making System for Complex Products Assembly Process Planning

Zhang

Wang

Cheng

et al. 2021

Preprint

View full text Add to dashboard Cite

Current assembly process planning of complex products depends largely on the experience of technical personnel, which results in low design efficiency, low intelligence, and difficult to extract the assembly knowledge. To address these problems, this paper proposes an intelligent decision-making system for complex products assembly process planning through a comprehensively improved BP neural network with considering the assembly unit variability. Firstly, the characteristics, variations and similarities of assembly process for complex products are analyzed. A hierarchical model of product assembly process is established, which decomposes assembly process decision-making for overall structure into several units. A training set of each assembly unit is built considering the effect of assembly unit variability, based on which, an assembly process structure tree can be constructed quickly by connecting the nodes in the assembly process hierarchy model and the assembly process decision results. Secondly, to improve the efficiency and accuracy of decision-making, an ant lion optimizer (ALO)-BP neural network is proposed for complex products assembly process planning, which can optimize the selection of initial weights, thresholds, learning rate and feedback process of BP neural network automatically. Finally, with the case study of assembly process of the marine diesel engines, the proposed approach is compared with other algorithm models. The comparison results demonstrated that the proposed intelligent decision-making system is more precise than the other models.

show abstract

Section: Related Previous Workmentioning

confidence: 99%

An Intelligent Decision-making System for Complex Products Assembly Process Planning

Zhang

Wang

Cheng

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Ikram et al [9] have applied AHP and G-TOPSIS for prioritizing and overcoming barriers to integrated management system (IMS). Saivaew and Butdee [10] have proposed AHP and Fuzzy Logic for Assembly parts for making a decision and selecting optimal plans for each stage of assembly. Wolnowska and Konicki [11] have applied the AHP method for the analysis of oversize cargo transport through the city.…”

Section: Solution Approachmentioning

confidence: 99%

COVID-19: A decision-making approach for prioritization of preventive activities

Singh

Avikal

2020

International Journal of Healthcare Management

View full text Add to dashboard Cite

The inception, of COVID-19, has turned into pandemic and as a consequence infected cases and human deaths are increasing continuously day by day all around the globe. COVID-19 virus spreads directly from people to people. A lot, of remedial activities, identified by the WHO and other authorities have been suggested to the people to perform as presented in this work. Some of these activities have been selected for the study and a survey has been performed between the medical representatives and scientists for evaluating the impact of these activities on COVID-19 and with the help of impact, activities have been prioritized. An analytic hierarchy process-based approach has been used for evaluating the same and the activities have been ranked/prioritized in chronological order to their impact.

show abstract

“…The analytic hierarchy process (AHP) was introduced in 1980 [ 2 ] to help resolve decision-making issues and prioritize decision alternatives. It has been widely used in decision-making systems in different fields since then to help solve various problems [ 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. Recently, researchers used AHP in healthcare and medical sectors to support decision-making.…”

Section: Introductionmentioning

confidence: 99%

A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

Abdelwahab

Issa

2021

Vaccines

View full text Add to dashboard Cite

Selecting a vaccine for fighting a pandemic is one of the serious issues in healthcare. Novel decision models for vaccine selection need to be developed. In this study, a novel vaccine selection decision-making model (VSDMM) was proposed and developed, based on the analytic hierarchy process (AHP) technique, which assesses many alternatives (vaccines) using multi-criteria to support decision making. To feed data to the VSDMM, six coronavirus disease-19 (COVID-19) vaccines were selected in a case study to highlight the applicability of the proposed model. Each vaccine was compared to the others with respect to six criteria and all criteria were compared to calculate the relative weights. The proposed criteria include (1) vaccine availability; (2) vaccine formula; (3) vaccine efficacy; (4) vaccine-related side effects; (5) cost savings, and (6) host-related factors. Using the selected criteria, experts responded to questions and currently available COVID-19 vaccines were ranked according to their weight in the model. A sensitivity analysis was introduced to assess the model robustness and the impacts of changing criteria weights on the results. The VSDMM is flexible in terms of its ability to accept more vaccine alternatives and/or more criteria. It could also be applied to other current or future pandemics/epidemics in the world. In conclusion, this is the first report to propose a VSDMM for selecting the most suitable vaccines in pandemic/epidemic situations or any other situations in which vaccine selection and usage may be deemed necessary.

show abstract

Decision making for effective assembly machined parts selection using fuzzy AHP and fuzzy logic

Cited by 14 publications

References 19 publications

An Intelligent Decision-making System for Complex Products Assembly Process Planning

An Intelligent Decision-making System for Complex Products Assembly Process Planning

COVID-19: A decision-making approach for prioritization of preventive activities

A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

Contact Info

Product

Resources

About