Green Information and Communication Technologies Implementation in Textile Industry Using Multicriteria Method

Authors

  • J. A. Adebisi
    University of Namibia, Namibia
  • O. M. Babatunde
    Tshwane University of Technology, Pretoria, South Africa

Keywords:

Textile, TOPSIS, Multicriteria, Technology, Green ICT

Abstract

It has been recognized that green Information Communication Technology (ICT) is fast becoming popular in every sector. It’s fundamental relevance to textile industry requires urgent attention than ever. Over the years selections of technologies to drive the textile industry has been a debate. There is a need for an efficient technology selection method to realize this goal. Selection of green ICT alternatives is a multicriteria decision making problem which has been sparsely explored in open literature. This study presents green ICT adoption in the textile industry using a fuzzy-TOPSIS multi-criteria approach for the most preferred ICT alternative in a textile industry. Criteria for Green ICT selection were identified by administering interview with selected textile and ICT industry experts at the managerial cadre of organizations and academics. Criteria considered were Implementation Cost (IC), Operating and Maintenance Cost (OMC), Environmental Impact (EI), Improved System Performance and Use (ISPU), Supply Chain Management (SCM) and Employment Opportunities (EO). Results shows that the most preferred ICT alternative is power management with overall coefficient of 0.60 while the least preferred is software optimization with coefficient of 0.23. This work will allow clean industrial process in the textile industry and also promote sustainable cities and communities through responsible consumption and production as highlighted by sustainable development goals (SDG) 11 and 12.

Dimensions

G. Kokeza and S. Uros?evi?, “Strategic directions of the development of the textile and clothing industry in the Republic of Serbia”, Tekst. Ind. 66 (2018) 69.

S. Lu, P. Y. Mok, and X. Jin, “A new design concept: 3D to 2D textile pattern design for garments”, Comput. Des. 89 (2017) 35.

J. Ding, Z. Song, and W. Liu, “An empirical study on the spatial organization variation with the application of Information and Communication Technologies (lCTs): a case study of textile and apparel enterprises in China”, Geogr. Res. 28 (2009) 883.

R. B. A. Mouelhi, “Impact of the adoption of information and communication technologies on firm efficiency in the Tunisian manufacturing sector”, Econ. Model. 26 (2009) 961.

S. Luthra, S. K. Mangla, F. T. S. Chan, and V. G. Venkatesh, “Evaluating the drivers to information and communication technology for effective sustainability initiatives in supply chains”, Int. J. Inf. Technol. & Decis. Mak. 17 (2008) 311.

K. S. Dar, S. Asif, and A. Islam, “Power Management and Green Computing: An Operating System Prospective”, Can. Int. J. Soc. Sci. Educ. (2015) 165.

D. Karabasevic, P. Radanov, D. Stanujkic, G. Popovic, and B. Predic, “Going green: strategic evaluation of green ICT adoption in the textile industry by using bipolar fuzzy MULTIMOORA method”, Ind. Textila 72 (2021) 3.

V. Istrat and N. Lali?, “Association rules as a decision making model in the textile industry”, Fibres & Text. East. Eur., 2017.

A. Baccini and M. Cioni, “Is technological change really skill-biased? Evidence from the introduction of ICT on the Italian textile industry (1980–2000)”, New Technol. Work Employ. 25 (2010) 80 .

M. Tavana, A. Shaabani, S. Mansouri Mohammadabadi, and N. Varzgani, “An integrated fuzzy AHP-fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection”, Int. J. Syst. Sci. Oper. & Logist. 8 (2021) 238.

F. R. L. Junior, L. Osiro, and L. C. R. Carpinetti, “A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection”, Appl. Soft Comput. 21 (2014) 194.

S. A. Burney and S. M. Ali, “Fuzzy multi-criteria based decision support system for supplier selection in textile industry”, IJCSNS 19 (2019) 239.

E. Roszkowska, “Multi-criteria decision making models by applying the TOPSIS method to crisp and interval data”, Mult. Criteria Decis. Making/University Econ. Katowice 6 (2011) 200.

G. Kou, Y. Lu, Y. Peng, and Y. Shi, “Evaluation of classification algorithms using MCDM and rank correlation”, Int. J. Inf. Technol. & Decis. Mak. 11 (2012) 197.

R. S. Q. Lai, L.-L. Hsu, and J. C. H. Chen, “Green supply chain management systems: A case study in the textile industry”, Hum. Syst. Manag. 31 (2012) 111.

D. Karabasevic, G. Popovic, D. Stanujkic, M. Maksimovic, and C. Sava, “An approach for hotel type selection based on the single-valued intuitionistic fuzzy numbers”, Int. Rev 1 (2019) 7.

P. Funk and T. Vogel, “Endogenous skill bias”, J. Econ. Dyn. Control 28 (2004) 2155.

M. Sanders and B. Ter Weel, “Skill-biased technical change: theoretical concepts, empirical problems and a survey of the evidence”, 2000.

D. Acemoglu, “Cross-country inequality trends”, Econ. J. 113 (2003) F121.

L. Affatato and C. Carfagna, “Smart Textiles: a strategic perspective of textile industry”, in Advances in Science and Technology 80 (2013) 1.

G. R. Venkatakrishnan, R. Rengaraj, K. K. Sathish, R. K. Dinesh, and T. Nishanth, “Implementation of Modified Differential Evolution Algorithm for Hybrid Renewable Energy System”, J. Niger. Soc. Phys. Sci. 3 (2021) 209.

A. S. Maihulla and I. Yusuf, “Performance Analysis of Photovoltaic Systems Using (RAMD) Analysis”, J. Niger. Soc. Phys. Sci. 3 (2021) 172.

B. M. Dyavappa, “Energy distribution of an ion cloud in a quadrupole Penning Trap”, J. Niger. Soc. Phys. Sci. 2 (2020) 55.

S. S. Mohammed, “On fuzzy soft set-valued maps with application”, J. Niger. Soc. Phys. Sci. 2 (2020) 26.

A. B. Naeini, A. Mosayebi, and N. Mohajerani, “A hybrid model of competitive advantage based on Bourdieu capital theory and competitive intelligence using fuzzy Delphi and ism-gray Dematel (study of Iranian food industry)”, Int. Rev. 1 (2019) 21.

C. Zhang, C. Chen, D. Streimikiene, and T. Balezentis, “Intuitionistic fuzzy MULTI-MOORA approach for multi-criteria assessment of the energy storage technologies”, Appl. Soft Comput. 79 (2019) 410.

P. Pazowski, “Green computing: latest practices and technologies for ICT sustainability”, in Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society, Joint International Conference, Bari, Italy (2015) 1853.

D. Stanujkic, E. K. Zavadskas, D. Karabasevic, F. Smarandache, and Z. Turskis, The use of the pivot pairwise relative criteria importance assessment method for determining the weights of criteria. Infinite Study (2017).

G. Kou, Y. Peng, and G. Wang, “Evaluation of clustering algorithms for financial risk analysis using MCDM methods”, Inf. Sci. (Ny). 275 (2014) 1.

E. Kuruoglu, D. Guldal, V. Mevsim, and T. Gunvar, “Which family physician should I choose? The analytic hierarchy process approach for ranking of criteria in the selection of a family physician”, BMC Med. Inform. Decis. Mak. 15 (2015) 1.

C.-T. Chen, “Extensions of the TOPSIS for group decision-making under fuzzy environment”, Fuzzy sets Syst. 114 (2000) 1.

D. Yong, “Plant location selection based on fuzzy TOPSIS”, Int. J. Adv. Manuf. Technol. 28 (2006) 839.

T.-C. Chu and Y.-C. Lin, “A fuzzy TOPSIS method for robot selection”, Int. J. Adv. Manuf. Technol. 21 (2003) 284.

Y. A. Solangi, C. Longsheng, and S. A. A. Shah, “Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach”, Renew. Energy 173 (2021) 209.

P. K. Roy and K. Shaw, “Developing a multi-criteria sustainable credit score system using fuzzy BWM and fuzzy TOPSIS”, Environ. Dev. Sustain. (2021) 1.

N. A. Nabeeh, A. Abdel-Monem, and A. Abdelmouty, A hybrid approach of neutrosophic with multimoora in application of personnel selection. Infinite Study, (2019).

R. Mai, Y. Liu, Y. Li, P. Yue, G. Cao, and Z. He, “An Active-Rectifier-Based Maximum Efficiency Tracking Method Using an Additional Measurement Coil for Wireless Power Transfer”, IEEE Trans. Power Electron. (2018), doi: 10.1109/TPEL.2017.2665040.

C. O. O. and E. O. O. Owena, “THE NIGERIAN TEXTILE INDUSTRY: AN OVERVIEW.”, Niger. J. Polym. Sci. Technol. 11 (2016) 99.

S. Onyeiwu, “The modern textile industry in Nigeria: history, structural change, and recent developments”, Text. Hist. 28 (1997) 234.

C.-Y. Chen, C.-Y. Liu, C.-C. Kuo, and C.-F. Yang, “Web-based remote control of a building’s electrical power, green power generation and environmental system using a distributive microcontroller”, Micromachines 8 (2017) 241.

Published

2022-05-29

How to Cite

Green Information and Communication Technologies Implementation in Textile Industry Using Multicriteria Method. (2022). Journal of the Nigerian Society of Physical Sciences, 4(2), 165-173. https://doi.org/10.46481/jnsps.2022.518

Issue

Volume 4, Issue 2, May 2022

Section

Original Research
Copyright & Licensing

Copyright (c) 2022 Journal of the Nigerian Society of Physical Sciences

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Green Information and Communication Technologies Implementation in Textile Industry Using Multicriteria Method. (2022). Journal of the Nigerian Society of Physical Sciences, 4(2), 165-173. https://doi.org/10.46481/jnsps.2022.518

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