The Characteristic Objects Method: A New Intelligent Decision Support Tool for Sustainable Manufacturing

This paper presents a new multi-criteria decision-making method, which is called the Characteristic Objects method, in the field of sustainable manufacturing. This approach is an alternative for AHP, TOPSIS, ELECTRE or PROMETHEE methods. The paper presents the possibility of using the COMET method for sustainable manufacturing. For this purpose, a brief review of the literature is shown. Then the COMET method is presented in detail. At the end of the paper, a simple problem is solved by using the COMET method.

[1]  S. Vinodh,et al.  PROMETHEE based sustainable concept selection , 2012 .

[2]  W. Sałabun Reduction in the Number of Comparisons Required to Create Matrix of Expert Judgment in the Comet Method , 2014 .

[3]  T. Ross Fuzzy Logic with Engineering Applications , 1994 .

[4]  Reinhard Madlener,et al.  Sustainable energy futures: Methodological challenges in combining scenarios and participatory multi-criteria analysis , 2009, Eur. J. Oper. Res..

[5]  Jaroslaw Jankowski Balanced Approach to the Design of Conversion Oriented Websites with Limited Negative Impact on the Users , 2013, ICCCI.

[6]  Karl R. Haapala,et al.  Integrating Sustainability Assessment into Manufacturing Decision Making , 2012 .

[7]  Wojciech Sałabun The use of fuzzy logic to evaluate the nonlinearity of human multi-criteria used in decision making , 2012 .

[8]  Lanndon A. Ocampo,et al.  A Proposed Framework in Developing Sustainable Manufacturing Initiatives Using Analytic Hierarchy Process (AHP) , 2015 .

[9]  Lanndon A. Ocampo,et al.  Structural Decisions of Sustainable Manufacturing Strategy with Fuzzy Analytic Network Process (FANP) , 2015, Int. J. Strateg. Decis. Sci..

[10]  Jaroslaw Jankowski,et al.  Increasing Website Conversions Using Content Repetitions with Different Levels of Persuasion , 2013, ACIIDS.

[11]  I. S. Jawahir,et al.  Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels , 2010 .

[12]  F. Chan,et al.  Global supplier development considering risk factors using fuzzy extended AHP-based approach , 2007 .

[13]  Andrzej Piegat,et al.  Fuzzy Modeling and Control , 2001 .

[14]  Andrzej Piegat,et al.  Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method , 2014, Appl. Comput. Intell. Soft Comput..

[15]  Wojciech Salabun,et al.  Application of the fuzzy multi-criteria decision-making method to identify nonlinear decision model , 2014 .

[16]  Selin Soner Kara,et al.  Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company , 2009, Expert Syst. Appl..

[17]  Jaroslaw Jankowski Modeling the Structure of Recommending Interfaces with Adjustable Influence on Users , 2013, ACIIDS.

[18]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[19]  Laura Riesgo,et al.  Multicriteria Analysis of Olive Farms Sustainability: An Application of TOPSIS Models , 2015 .

[20]  V. K. Mittal,et al.  Prioritizing Barriers to Green Manufacturing: Environmental, Social and Economic Perspectives , 2014 .

[21]  K. Govindan,et al.  A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach , 2013 .

[22]  Witold Pedrycz,et al.  Fuzzy Multicriteria Decision-Making: Models, Methods and Applications , 2010 .

[23]  Jennifer Blackhurst,et al.  A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective , 2012 .

[24]  D. Štreimikienė,et al.  Prioritizing sustainable electricity production technologies: MCDM approach , 2012 .

[25]  Govind Sharan Dangayach,et al.  Analytic Hierarchy Process (AHP) Model for Evaluating Sustainable Manufacturing Practices in Indian Electrical Panel Industries , 2015 .

[26]  Jarosław Wątróbski,et al.  Guideline for MCDA Method Selection in Production Management Area , 2016 .

[27]  Marie Sawadogo,et al.  Intermodal transportation within the green supply chain: An approach based on the ELECTRE method , 2009, 2009 International Conference on Computers & Industrial Engineering.

[28]  Jaroslaw Jankowski,et al.  Knowledge management in MCDA domain , 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

[29]  Wojciech Sałabun,et al.  Nonlinearity of human multi-criteria in decision-making , 2012 .

[30]  Wojciech Sałabun,et al.  The Characteristic Objects Method: A New Distance‐based Approach to Multicriteria Decision‐making Problems , 2015 .

[31]  Junbin Gao,et al.  A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization , 2014, Appl. Comput. Intell. Soft Comput..

[32]  Rameshwar Dubey,et al.  Supplier selection in blood bags manufacturing industry using TOPSIS model , 2015 .

[33]  Fausto Cavallaro,et al.  An Integrated Multi-Criteria System to Assess Sustainable Energy Options: An Application of the Promethee Method , 2005 .

[34]  Parmpreet Kaur,et al.  RM approach for ranking of generalized trapezoidal fuzzy numbers , 2010 .

[35]  Timothy J. Ross,et al.  Fuzzy Logic with Engineering Applications: Ross/Fuzzy Logic with Engineering Applications , 2010 .

[36]  Madan M. Gupta,et al.  Fuzzy mathematical models in engineering and management science , 1988 .

[37]  Ali H. Diabat,et al.  Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain , 2013 .

[38]  Kuan Yew Wong,et al.  Strategy selection for sustainable manufacturing with integrated AHP-VIKOR method under interval-valued fuzzy environment , 2016 .

[39]  I. S. Jawahir,et al.  Priority Evaluation of Product Metrics for Sustainable Manufacturing , 2011 .