Browsing by Author "Banaitiene, Nerija"

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    A composite index to measure sustainability of supply chain management in construction companies
    (2024-08-16) Cataldo, Ieva; Banaitiene, Nerija; Banaitis, Audrius
    Companies in the construction sector are increasingly aware of the importance and challenges of sustainability. In recent years, construction companies have introduced some sustainability initiatives and have embraced the concept of sustainability indicators. However, measuring a company’s performance on a wide range of sustainability indicators is challenging. Integration of supply chain sustainability indicators is required. This article presents a methodology for easily consolidating existing supply chain indicators into a single analysis that requires minimal resources. First, the list of 38 sustainability indicators of the supply chain was defined and divided into 7 sustainability groups. The experts were then asked to rank the sustainability groups and the supply chain sustainability indicators within each group according to their importance using the rank sum weighting method. The survey questionnaire was distributed to the respondents via paper or email to 24 academics and top/middle managers of construction companies. Global normalized weights were employed to determine the final indicator rankings. For normalization, target values were suggested for each indicator. Finally, a composite sustainability index for a construction company’s supply chain was developed. The developed composite sustainability index provides a global view of sustainable supply chain management in construction companies, allowing supply chain indicators to be related to their objectives. The developed composite index can be used by supply chain managers in construction companies to assess their organization’s contribution to supply chain sustainability.
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    A composite index to measure sustainability of supply chain management in construction companies
    (Technická Univerzita v Liberci, ) Cataldo, Ieva; Banaitiene, Nerija; Banaitis, Audrius; Ekonomická fakulta
    Companies in the construction sector are increasingly aware of the importance and challenges of sustainability. In recent years, construction companies have introduced some sustainability initiatives and have embraced the concept of sustainability indicators. However, measuring a company’s performance on a wide range of sustainability indicators is challenging. Integration of supply chain sustainability indicators is required. This article presents a methodology for easily consolidating existing supply chain indicators into a single analysis that requires minimal resources. First, the list of 38 sustainability indicators of the supply chain was defined and divided into 7 sustainability groups. The experts were then asked to rank the sustainability groups and the supply chain sustainability indicators within each group according to their importance using the rank sum weighting method. The survey questionnaire was distributed to the respondents via paper or email to 24 academics and top/middle managers of construction companies. Global normalized weights were employed to determine the final indicator rankings. For normalization, target values were suggested for each indicator. Finally, a composite sustainability index for a construction company’s supply chain was developed. The developed composite sustainability index provides a global view of sustainable supply chain management in construction companies, allowing supply chain indicators to be related to their objectives. The developed composite index can be used by supply chain managers in construction companies to assess their organization’s contribution to supply chain sustainability.
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    A NOVEL SORTING METHOD TOPSIS-SORT: AN APPLICATION FOR TEHRAN ENVIRONMENTAL QUALITY EVALUATION
    (Technická Univerzita v Liberci, ) Faraji Sabokbar, Hassanali; Hosseini, Ali; Banaitis, Audrius; Banaitiene, Nerija; Ekonomická fakulta
    Many real-life problems are multi-objective by nature that requires evaluation of more than one criterion, therefore MCDM has become an important issue. In recent years, many MCDM methods have been developed; the existing approaches have been improved and extended. Multi criteria decision analysis has been regarded as a suitable set of methods to perform sustainability evaluations. Among numerous MCDM methods developed to solve real-life decision problems, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily in diverse application areas. In this paper, a novel sorting method (TOPSIS-Sort) based on the classic TOPSIS method is presented. In the TOPSIS-Sort approach an outranking relation is used for sorting purposes. The proposed approach uses characteristic profi les for defi ning the classes and outranking relation as the preference model. Application of the proposed approach is demonstrated by classifying 22 districts of Tehran into fi ve classes (but none of the districts fi ts into Classes 4 and 5), representing areas with different levels of environmental quality. An analysis and assessment of the environmental conditions in Tehran helps to identify the districts with the poor environmental quality. Priority should be given to these areas to maintain and improve the quality of environment. The results obtained by the TOPSIS-Sort give credence to its success, because the results of sorting confi rm our and specialists’ evaluation of the districts. This research provides appropriate results with respect to the development of sorting models in the form of outranking relations. The model, proposed by this study, is applicable to the other outranking methods such as ELECTRE, PROMETHEE, etc.