Integrated data envelopment-thermoexergetic optimization framework for multicomponent distillation system with multiexergetic response in the robust parameter design procedures

Adesina, Kehinde Adewale; Daneshvar, Sahand

doi:10.1080/15567036.2018.1477876

Cited by 7 publications

(5 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This classification is necessary to provide a panoramic view of the propensity of efficient DMUs. These results agree with those of previous studies [ 4 , 5 ].…”

Section: Limitations Results and Discussionsupporting

confidence: 94%

“…These peer units are allotted relative values between zero and one, denoting strict inefficiency and efficiency points for the DMUs, respectively. The range between 0 and 1 can be partitioned into weak efficient points (WEP) and strong efficient points (SEP) to determine the inset frontier dynamics [ 4 , 5 ]. The DEA specifies the amounts and areas to improve inefficient units by analysing each DMU's performance by converting inputs to outputs [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Weight-restricted approach on constant returns to scale DEA models: Efficiency of internet banking in Turkey

Kraidi,

Daneshvar,

Adesina

2024

Heliyon

Self Cite

View full text Add to dashboard Cite

“…This classification is necessary to provide a panoramic view of the propensity of efficient DMUs. These results agree with those of previous studies [ 4 , 5 ].…”

Section: Limitations Results and Discussionsupporting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Weight-restricted approach on constant returns to scale DEA models: Efficiency of internet banking in Turkey

Kraidi,

Daneshvar,

Adesina

2024

Heliyon

Self Cite

View full text Add to dashboard Cite

“…Mathematically, this means that the fraction of the weighted outputs average over the weighted inputs average should maximize such that this fraction for other DMUs remains in [0,1] interval. As applied in Daneshvar et al and Adesina and Daneshvar, if y ro is the r th output and x ij is the i th input for j th DMU, say DMU j j = 1,…, n , and u r and v i , consider the output and input weights for r = 1,…, s and i = 1,… m , respectively, the CCR input orientation model is as follows where o denotes DMU under evaluation:

\begin{matrix} lefttrue \\ \max \sum_{r = 1}^{s} u_{r} y_{italicro} \\ s . t \sum_{i = 1}^{m} v_{i} x_{italicio} = 1 \\ \sum_{r = 1}^{s} u_{r} y_{italicrj} - \sum_{i = 1}^{m} v_{i} x_{italicij} \leq 0 j = 1, \dots, n \\ u_{r} \geq 0 r = 1, \dots, s \\ v_{i} \geq 0 i = 1, \dots, m . \end{matrix}

…”

Section: Materials and Methodologymentioning

confidence: 99%

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Daneshvar

Yazdi

Adesina³

2020

Quality & Reliability Eng

Self Cite

View full text Add to dashboard Cite

Failure modes and effects analysis (FMEA) is a safety and reliability technique that is widely used to evaluate, design, and process a system against diverse possible ways through which the potential failure has a tendency to occur. In conventional FMEA, the risk evaluation is determined by risk priority number (RPN) obtained by multiplying of three risk factors—severity, occurrence, and detection. However, because of many shortages in conventional FMEA, the RPN scores have been widely criticized along issues bothering on ambiguity and vagueness, scoring, appraising, evaluating, and selecting corrective actions. In this paper, we propose a new integrated fuzzy smart FMEA framework where the combination of fuzzy set theory, analytical hierarchy process (AHP), and data envelopment analysis (DEA) is used, respectively, to handle uncertainty and to increase the reliability of the risk assessment. These are achieved by employing a heterogeneous group of experts and determining the efficiency of FMEA mode with adequate priority and corrective actions using RPN, time, and cost as indicators. A numerical example (aircraft landing system) is provided to exemplify the feasibility and effectiveness of the proposed model. The outputs of the proposed model compared with the conventional risk assessment technique results show its effectiveness, reliability, and propensity for real applications.

show abstract

“…However, all aforementioned studies still suffer from the lack of reliability in the experts' opinions elicitation procedure. The reason is that there is no benchmarking of their performance against external criteria . A clear understanding of the validity of experts' judgments and of how their validity influenced by methods of elicitation and aggregation is vital for proper safety practice.…”

Section: Introductionmentioning

confidence: 99%

“…The reason is that there is no benchmarking of their performance against external criteria. 20,21 A clear understanding of the validity of experts' judgments and of how their validity influenced by methods of elicitation and aggregation is vital for proper safety practice. It is simply means that a new approach is required to handle properly the uncertainty of experts' opinions as well as the validity of aggregation procedure.…”

Section: Introductionmentioning

confidence: 99%

Introducing a heuristic approach to enhance the reliability of system safety assessment

Yazdi

2019

Quality & Reliability Eng

View full text Add to dashboard Cite

Probabilistic risk assessment techniques are the important tools which can considerably improve the safety performance of the studied system and reduce the risk to an acceptable level. Typically, decision‐making process is an important part of risk assessment methods that accordingly bring the ambiguity inside. Decision makers as experts commonly express their subjective opinions about the occurrence of the root events in order to obtain the probability of the undesired event. Subsequently, the critical root events are identified, and possible intervention is performed to reduce the probability of the critical events. However, the serious point is the viability of the obtained probabilities and priority ranking of the critical events. In this study, a heuristic optimization model of linear mathematical programming using triangular intuitionistic fuzzy number (TrIFN) is proposed to obtain the feasible, optimum, and reliable results compared with available methods. The Spearman correlation is performed to examine the reliability and behavior of the proposed model. In order to show the effectiveness of the proposed approach, it is applied on a real case study. The application of the model confirms its robustness to prioritize critical root events over the conventional one.

show abstract

Integrated data envelopment-thermoexergetic optimization framework for multicomponent distillation system with multiexergetic response in the robust parameter design procedures

Cited by 7 publications

References 56 publications

Weight-restricted approach on constant returns to scale DEA models: Efficiency of internet banking in Turkey

Weight-restricted approach on constant returns to scale DEA models: Efficiency of internet banking in Turkey

Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system

Introducing a heuristic approach to enhance the reliability of system safety assessment

Contact Info

Product

Resources

About