AHP method application in selection of appropriate material handling equipment in selected industrial enterprise

Horňáková, Natália; Babeľová, Zdenka Gyurák; Paulíková, Alena; Cagáňová, Dagmar; Babčanová, Dagmar

doi:10.1007/s11276-019-02050-2

Cited by 31 publications

(18 citation statements)

References 8 publications

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“…Nasrollahi et al [47] solved a robot selection problem using the fuzzy best-worst method and PROMETHEE for criteria weight evaluation and ranking of the alternatives, respectively. Hornakova et al [48] confirmed that mobile robots are the best equipment for material handling in an industrial setting. Rashid et al [49] integrated the generalized interval-valued trapezoidal fuzzy bestworst method with extended TOPSIS and extended VIKOR for the selection of the optimal industrial robot, while concluding that extended TOPSIS is more stable than extended VIKOR after testing the reliability and stability of both methods through sensitivity analysis.…”

Section: Literature Reviewmentioning

confidence: 97%

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

et al. 2021

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Traditional Multi-Criteria Decision Making (MCDM) methods have now become outdated; therefore, most researchers are focusing on more robust hybrid MCDM models that combine two or more MCDM techniques to address decision-making problems. The authors attempted to create two novel hybrid MCDM systems in this paper by integrating Additive Ratio ASsessment (ARAS) with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Complex PRoportional ASsessment (COPRAS). To demonstrate the ability and effectiveness of these two hybrid models i.e., TOPSIS-ARAS and COPRAS-ARAS were applied to solve a real-time robot selection problem with 12 alternative robots and five selection criteria, while evaluating the parametric importance using the CRiteria Importance Through Inter criteria Correlation (CRITIC) objective weighting estimation tool. The rankings of the robot alternatives gained from these two hybrid models were also compared to the obtained results from eight other solo MCDM tools. Although the rankings by the applied methods slightly differ from each other, the final outcomes from all of the adopted techniques are consistent enough to suggest that robot 12 is the best choice followed by robot 11, and robot 4 is the worst one among these 12 alternatives. Spearman Correlation Coefficient (SCC) also reveals that the proposed rankings derived from various methods have a strong ranking relationship with one another. Finally, sensitivity analysis was performed to investigate the effects of weight variation and to validate the robustness of the implemented MCDM approaches.

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Section: Literature Reviewmentioning

confidence: 97%

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

et al. 2021

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“…‘Expert Choice’ software was used to conduct the data synthesis and evaluate the judgments. The software is used for pair-wise comparisons and is used by researchers across several domains (Erdogan et al 2017 ; Gupta and Vijayvargy 2021 ; Horňáková et al 2021 ). Table 2 displays the selected 28 experts who participated, with their designation and organization mentioned, respectively.…”

Section: The Analytical Hierarchy Process (Ahp) Modelmentioning

confidence: 99%

Modelling a community resilience index for urban flood-prone areas of Kerala, India (CRIF)

Ali

George

2022

Nat Hazards

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Communities are ever-evolving, cities are constantly expanding, and the threat of natural hazards has escalated like never before. Cities can develop and prosper only if their society is resilient to external shocks. Measuring community resilience over time is crucial with the influence of technology and change in community lifestyles. With the frequent onset of floods in Kerala in recent years, the community must be well-prepared for future calamities. Thus, this paper develops a community resilience index for Kerala’s urban flood-prone areas (CRIF) through a rigorous bottom-up approach. The criteria for the index were developed using multi-criteria decision analysis that covered a fuzzy Delphi study, an empirical study using multi-variate probit regression, and an AHP analysis. The fuzzy Delphi study selected seven criteria: ‘social’, ‘economical’, ‘governance/political’, ‘health’, ‘communication/coordination, ‘education’, and ‘infrastructure’ from 65 experts . The empirical study helped apprehend the public’s viewpoints under each criterion. Finally, the AHP analysis helped assign appropriate weights to the criteria which 28 experts designated. The index is also designed according to the Sendai Framework for Disaster Risk Reduction (2015–2030). Further, the CRIF Index is put into action through a case study of the Kochi Municipal Corporation area, and the results are also validated using the Spearman’s rank correlation coefficient method. Results from validation returned a value of 0.7209 for the perceived CRIF method and 0.5798 for the external validation method, which corresponds to a ‘high’ and ‘moderate’ correlation, respectively. Supplementary Information The online version contains supplementary material available at 10.1007/s11069-022-05299-7.

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“…Using a modular approach in design and production becomes relevant due to the mass introduction of Industry 4.0 in production and various spheres of human life. The future output vision includes modular and efficient production systems and characterizes the scenarios in which products control their production process [6,7].…”

Section: Literature Reviewmentioning

confidence: 99%

Classification of Separation Equipment by Design and Technological Features

Иванов¹,

Pavlenko²,

Cagáňová³

et al. 2018

EAI Endorsed Transactions on Energy Web

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Production range increasing causes many obstacles to ensure the work of the chemical industry. Production must respond quickly to the slightest change and must be customer-oriented. Due to this, there is a general trend towards increasing production flexibility by introducing modular systems. Thus, there is a need to classify existing solutions to develop flexible systems based on them. The article contains the analysis of chemical industry development tendencies, a methodology of research of modular separation devices, and their classification by design and technological features. The study result is a design and technological classification with a code that can optimize various separation devices. As a result of experimental research, preliminary and acceptance tests of experimental samples, the main hydrodynamic and separation characteristics of modular separation devices and combined multifunctional separators are determined: hydraulic resistance 0.15-2.00 kPa for units and 15-30 kPa for devices; effective capture of particles from the size of 5 μm; efficiency of separate stages of modular separation devices is about 70-90 %; efficiency of combined multifunctional separators is approximately 99.5-99.9 %. The offered multipurpose separators equipped with dynamically regulated modular separation devices do not concede to world analogs by the main technical characteristics of combined multistage separators worldwide.

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AHP method application in selection of appropriate material handling equipment in selected industrial enterprise

Cited by 31 publications

References 8 publications

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

Modelling a community resilience index for urban flood-prone areas of Kerala, India (CRIF)

Classification of Separation Equipment by Design and Technological Features

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