Open Access Open Access  Restricted Access Subscription or Fee Access

Using AHP in Belt Conveyor Selection Problem

Nikhil Singh Chauhan

Abstract


 

Belt conveyor plays a dominating role in screening creaser. The performance of belt conveyor is primary issue for screening creaser. There are various criteria which affect the performance of belt conveyor. Selection of belt conveyor is a Multi-criteria Decision Making (MCDM) problem. In that respect there are many methods available for selection of belt conveyor; however this paper targets to explore the applicability of AHP to solve belt conveyor selection problem. In the analytic hierarchy process (AHP), a decision maker first gives linguistic pairwise comparisons, then obtains numerical pairwise comparisons by selecting certain numerical scale to quantify them, and finally derives a priority vector from the numerical pairwise comparisons.


Full Text:

PDF

References


Miriam Andrejiova, Zuzana Kimakova, Daniela Marasova. Using AHP Method at the Determination of the Optimal Selection Criteria of Conveyor Belts. International Journal of Engineering, TomeX1. 2013. ISSN1584-2665.

W. Molnar, M. Varga, P. Braun, et al. Correlation of Rubber Based Conveyor Belt Properties and Abrasive Wear Rates under 2- and 3-Body Condition. Elsevier Wear. 2014; 320: 1–6p.

Mehrjierdi Y.Z. Strategic System Selection with Linguistic Preferences and Grey Information Using MCDM. Appl Soft Comput. 2014; 18: 323–337p.

Deng Y., Chan Felix T.S., Wu Y., et al. A New Linguistic MCDM Method Based on Multiple-Criteria Data Fusion. Expert Syst Appl. 2011; 38(6): 6985–6993p.

Ludovic-Alexandre Vidal, Evren Sahin, Nicolas Martelli. Applying AHP to Select Drugs to be Produced by Anticipation in a Chemotherapy Compounding Unit. Elsevier Expert Sys Appl. 2010; 37(2): 1528–1534p.

Chen Lijuana, Chang Shinanb. An Approach of AHP for Human Factors Analysis in the Aircraft Icing Accident. Elsevier, Procedia Engineering. 2011; 17: 63–69p.

Saaty T.L. How to Make a Decision: The Analytic Hierarchy Process. European J. of Operational Res. 1990; 48: 9–26p.

Saaty T. L. Priority Setting in Complex Problems. IEEE Trans. Eng. Manage. (EM). 1983; 30(3): 140–155p.

Saaty T.L. The Analytic Hierarchy Process. McGraw Hill, New York; 1980.

Saaty T. L. Fundamentals of Decision Making and Priority Theory with AHP. RWS Publications, Pittsburg. 2000.

Pedyez W., Song M. A Granulation of Linguistic Information in AHP Decision-Making Problems. Inform. Fusion. 2014; 17: 93–101p.

Ishizaka A., Nguyen N.H. Calibrated Fuzzy AHP for Current Bank Account Selection. Expert Syst. Appl. 2013; 40(9): 3776–3783p.

Amiri M.P. Project Selection for Oil-Field Developed by Using the AHP and Fuzzy TOPSIS Method. Expert Syst. Appl. 2010; 37(9): 6218–6224p.

Bruno G., Esposito E., Genovese A., et al. AHP-Based Approaches for Supplier Evolution, Problem and Perspectives. J. Purch. Supply Manag. 2012; 18(3): 159–172p.

Goh H.H., Kok B.C., Yeo H.T., et al. Combination of TOPSIS and AHP in Load Shedding Scheme for Large Pulp Mill Electrical System. Int J Electric Power Energy Sys. 2013; 47: 198–204p.

Katarzyna Nosal, Katarzyna Solecka, Application of AHP Method for Multi-Criteria Evaluation of Variants of the Integration of Urban Public Transport. Transportation Research Procedia. 2014; 269–278p.




DOI: https://doi.org/10.3759/ttea.v2i1.2800

Refbacks

  • There are currently no refbacks.