Evaluation of excavator technologies: application of data fusion based MULTIMOORA methods

Abstractexcavators are quite expensive vehicles. therefore, there may be huge losses for decision makers if a wrong decision is made during the purchasing process. A good evaluation of excavator alternatives both reduces costs and increases the benefits the excavator for the purchaser. The aim of this study is to prioritise excavator technologies to help decision makers during the purchasing process and to apply three different “data fusion methods” instead of the “theory of dominance” of the original MULTIMOORA method. the MULTIMOORA method is composed of three methods, namely: the ratio analysis as a part of MOORA, reference Point theory (the reference point approach as a part of MOORA) and the Full Multiplicative Form. it is used to prioritise excavator technologies in this study. the MULTIMOORA method combines three results obtained from these three methods using the theory of dominance. Dominance directed graph, rank position method and Borda count method as data fusion methods are also used to combi...

[1]  Edmundas Kazimieras Zavadskas,et al.  Lithuanian case study of masonry buildings from the Soviet period , 2012 .

[2]  Rabia Nuray-Turan,et al.  Automatic ranking of information retrieval systems using data fusion , 2006, Inf. Process. Manag..

[3]  Edmundas Kazimieras Zavadskas,et al.  Robustness in economic development studies : the case of Tanzania , 2011 .

[4]  Alican Kavas,et al.  Turkish industrial purchasing managers’ perceptions of foreign and national industrial suppliers , 1996 .

[5]  E. Zavadskas,et al.  Project management by multimoora as an instrument for transition economies , 2010 .

[6]  K. Dinnie.  Country-of-origin 1965-2004: a literature review , 2004 .

[7]  Xiao Lin,et al.  Performance analysis of hydraulic excavator powertrain hybridization , 2009 .

[8]  M. Shafiee,et al.  Modeling and analysis of effective ways for improving the reliability of second-hand products sold with warranty , 2010 .

[9]  Rabia Nuray.  Automatic performance evaluation of information retrieval systems using data fusion , 2003 .

[10]  Edmundas Kazimieras Zavadskas,et al.  Multimoora Optimization Used to Decide on a Bank Loan to Buy Property , 2011 .

[11]  T. Baležentis,et al.  A multi-criteria assessment of relative farming efficiency in the European Union Member States , 2011 .

[12]  M. Baker,et al.  Country of origin effects: a literature review , 1998 .

[13]  Romualdas Ginevičius,et al.  The economy of the Belgian regions tested with multimoora , 2010 .

[14]  Adil Baykasoglu,et al.  Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection , 2013, Expert Syst. Appl..

[15]  Bernd H. Schmitt,et al.  Brand experience: managerial applications of a new consumer-psychology concept , 2011 .

[16]  Edmundas Kazimieras Zavadskas,et al.  The construction sector in twenty European countries during the recession 2008–2009 – country ranking by MULTIMOORA , 2013 .

[17]  Edmundas Kazimieras Zavadskas,et al.  Ranking Heating Losses in a Building by Applying the MULTIMOORA , 2010 .

[18]  Tibet Cebesoy.  HYDRAULIC EXCAVATOR SELECTION USING IMPROVED QUALITY COMPARISON METHOD , 2011 .

[19]  R. Brodie,et al.  The influence of brand image and company reputation where manufacturers market to small firms: A customer value perspective , 2007 .

[20]  E. Zavadskas,et al.  Robustness of the multi‐objective MOORA method with a test for the facilities sector , 2009 .

[21]  Saeed Samiee,et al.  Customer Evaluation of Products in a Global Market , 1994 .

[22]  C. Kirmanli,et al.  An expert system for hydraulic excavator and truck selection in surface mining , 2009 .

[23]  Eunsang Yoon,et al.  The effects of information and company reputation on intentions to buy a business service , 1993 .

[24]  Susan M. Mudambi.  Branding Importance in Business-to-Business Markets: Three Buyer Clusters , 2002 .

[25]  Siba Sankar Mahapatra,et al.  Robot selection based on grey-MULTIMOORA approach , 2013, Grey Syst. Theory Appl..

[26]  Barbara Igel,et al.  The factors of making the first successful customer reference to leverage the business of start-up software company - multiple case study in Thai software industry , 2004 .

[27]  Birsen Karpak,et al.  A purchasing decision: Selecting a supplier for a construction company , 2006 .

[28]  Bernd H. Schmitt,et al.  Brand Experience: What is It? How is it Measured? Does it Affect Loyalty? , 2009 .

[29]  Willem K. Brauers,et al.  Project Management for a Country with Multiple Objectives , 2012 .

[30]  Hu-Chen Liu,et al.  Application of interval 2-tuple linguistic MULTIMOORA method for health-care waste treatment technology evaluation and selection. , 2014, Waste management.

[31]  Askoldas Podviezko,et al.  Development of a Methodology of Evaluation of Financial Stability of Commercial Banks , 2014 .

[32]  L. Chernatony.  Creating Powerful Brands , 2010 .

[33]  Shankar Chakraborty,et al.  Applications of the MOORA method for decision making in manufacturing environment , 2011 .

[34]  W. Brauers,et al.  Robustness in regional development studies. The case of Lithuania , 2009 .

[35]  Christian Homburg,et al.  Customer satisfaction in industrial markets: dimensional and multiple role issues , 2001 .

[36]  Yan Jun,et al.  Study of Monitoring Parameters Selection Based on AHP for Hydraulic System of Excavator , 2011, 2011 Third International Conference on Measuring Technology and Mechatronics Automation.

[37]  Atul Kumar Sahu,et al.  Appraisal of CNC machine tool by integrated MULTI-MOORA-IVGN circumferences: An empirical study , 2014, Grey Syst. Theory Appl..

[38]  Tomas Baležentis,et al.  A Survey on Development and Applications of the Multi‐criteria Decision Making Method MULTIMOORA , 2014 .

[39]  S. Chakraborty,et al.  Application of multi-objective optimization on the basis of ratio analysis (MOORA) method for materials selection , 2012 .

[40]  D. Štreimikienė,et al.  Multi-objective ranking of climate change mitigation policies and measures in Lithuania , 2013 .

[41]  H. Akcakoca,et al.  Equipment selection for high selective excavation surface coal mining , 2007 .

[42]  Jelena Stankevičienė,et al.  Implementation of Multi-Objective Evaluation Method in Public Debt Risk Management , 2013 .

[43]  Bo Guo,et al.  Group judgment of relationship between product reliability and quality characteristics based on Bayesian theory and expert's experience , 2010, Expert Syst. Appl..

[44]  Emel Kizilkaya Aydogan,et al.  A Hybrid Moora-Fuzzy Algorithm For Special Education and Rehabilitation Center Selection , 2014 .

[45]  Edmundas Kazimieras Zavadskas,et al.  Robustness of MULTIMOORA: A Method for Multi-Objective Optimization , 2012, Informatica.

[46]  Edmundas Kazimieras Zavadskas,et al.  The MOORA method and its application to privatization in a transition economy , 2006 .

[47]  Risto T. Salminen,et al.  Success factors of a reference visit – a single case study , 2001 .

[48]  Simaan M. AbouRizk,et al.  Utilizing simulation derived quantitative formulas for accurate excavator hauler fleet selection , 2013, 2013 Winter Simulations Conference (WSC).

[49]  Lambert Schomaker,et al.  Variants of the Borda count method for combining ranked classifier hypotheses , 2000 .

[50]  Risto T. Salminen,et al.  Communicating customer references on industrial companies' Web sites , 2009 .

[51]  Tomas Baležentis,et al.  ASSESSING THE EFFICIENCY OF LITHUANIAN TRANSPORT SECTOR BY APPLYING THE METHODS OF MULTIMOORA AND DATA ENVELOPMENT ANALYSIS , 2011 .

[52]  Zenonas Turskis,et al.  MULTICRITERIA EVALUATION OF INNER CLIMATE BY USING MOORA METHOD , 2008 .

[53]  W. Brauers,et al.  Regional development in Lithuania considering multiple objectives by the MOORA method , 2010 .

[54]  E. Zavadskas,et al.  Multi‐objective contractor's ranking by applying the Moora method , 2008 .

[55]  D. Ruta,et al.  An Overview of Classifier Fusion Methods , 2000 .

[56]  T. Baležentis,et al.  Evaluating situation of Lithuania in the European Union: Structural indicators and MULTIMOORA method , 2010 .

[57]  Romualdas Ginevičius,et al.  How to invest in Belgian shares by MULTIMOORA optimization , 2013 .

[58]  Marvin Rausand,et al.  Product Reliability: Specification and Performance , 2008 .

[59]  Michael Galetakis,et al.  Development of an Expert System for the Prediction of the Performance of Bucket-Wheel Excavators Used for the Selective Mining of Multiple-layered Lignite Deposits , 2015 .

[60]  Edmundas Kazimieras Zavadskas,et al.  Multi‐objective decision‐making for road design , 2008 .

[61]  R. Stock.  Can Customer Satisfaction Decrease Price Sensitivity in Business-to-Business Markets? , 2005 .