An ANP-based approach for lean and green performance assessment

Farias, Luana Marques Souza; Santos, Luciano Costa; Gohr, Cláudia Fabiana; Rocha, Lenilson Olinto

doi:10.1016/j.resconrec.2018.12.004

Cited by 52 publications

(30 citation statements)

References 38 publications

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“…Other published research also affirms that to achieve operational improvement and environmental performance, Lean and Green complement each other (Farias et al, 2019) and that these two concepts have synergy (Jakhar, Rathore and Mangla, 2018). According to Rehman (2012), the unscientific management of waste material generated by commercial and industrial activities could lead to serious environmental concerns, therefore, immediate appropriate disposal arrangement is required.…”

Section: Waste Reductionmentioning

confidence: 89%

Impact of Lean, Agile and Green (LAG) on business competitiveness: An empirical study of fast moving consumer goods businesses

Udokporo

Anosike

Lim

et al. 2020

Resources, Conservation and Recycling

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The adoption/utilisation of Lean, Agile and Green (LAG) practices in both the manufacturing and service sector is rising. However, there yet remain a research gap to precisely evaluate the relationship between LAG practices and business competitiveness (e.g, achieving reduction in cost, lead time and environmental recyclable waste). This research aims to explore this relationship, specifically in fast-moving consumer goods (FMCG) businesses. The hypothesised relationships are tested with data collected from 96 FMCG companies. Structural Equation Modelling is applied to evaluate different channels of achieving business competitiveness through the adoption of Lean, Agile and Green. The findings suggest that competitive outcomes vary with the adoption of LAG practices in specific product life cycle stages. This implies that awareness of the product life cycle concept is essential. A combination of LAG practices for the sole purpose of reducing environmental waste is negatively related to environmental waste reduction. LAG practices are more efficiently adopted when the adopters are equipped with expert knowledge on the paradigms and their individual practices. This research has approached the attainment of competitiveness in the FMCG businesses by analysing management efforts that improve cost performance, lead time and environmental sustainability aspects of business operations. The research has also considered the product life cycle stages in analysing the impacts of management efforts. AbstractThe adoption/utilisation of Lean, Agile and Green (LAG) practices in both the manufacturing and service sector is rising. However, there yet remain a research gap to precisely evaluate the relationship between LAG practices and business competitiveness (e.g, achieving reduction in cost, lead time and environmental recyclable waste). This research aims to explore this relationship, specifically in fast-moving consumer goods (FMCG) businesses. The hypothesised relationships are tested with data collected from 96 FMCG companies. Structural Equation Modelling is applied to evaluate different channels of achieving business competitiveness through the adoption of Lean, Agile and Green. The findings suggest that competitive outcomes vary with the adoption of LAG practices in specific product life cycle stages. This implies that awareness of the product life cycle concept is essential. A combination of LAG practices for the sole purpose of reducing environmental waste is negatively related to environmental waste reduction. LAG practices are more efficiently adopted when the adopters are equipped with expert knowledge on the paradigms and their individual practices. This research has approached the attainment of competitiveness in the FMCG businesses by analysing management efforts that improve cost performance, lead time and environmental sustainability aspects of business operations. The research has also considered the product life cycle stages in analysing the impacts of management efforts.

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Section: Waste Reductionmentioning

confidence: 89%

Impact of Lean, Agile and Green (LAG) on business competitiveness: An empirical study of fast moving consumer goods businesses

Udokporo

Anosike

Lim

et al. 2020

Resources, Conservation and Recycling

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“…The multi-criteria attribute (MCAM) and multi-criteria objective (MCOM) methods have also been known for an extensive usage in the assessment of the environmental performance, which is mainly driven by their practical feasibility that has been proven useful in decreasing the risk of losing relevant information (Chowdhury and Paul, 2020). For instance, analytic hierarchy process (AHP) method (Ak and Braida, 2015; Pipatprapa et al , 2018; Haddach and Benfssahi, 2019), Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method (Ostad-Ahmad-Ghorabi et al , 2013; Bilbao-Terol et al , 2014; Jayasooriya et al , 2018) and analytic network process (ANP) method (Farias et al , 2019). Some authors have applied either hybrid methods combining two or more methods to address the limitations coming with these methods to reach the final decision, for instance, the AHP-TOPSIS method (Azimifard et al , 2018), LCA-TOPSIS (Vidal and Sánchez-Pantoja, 2019), TOPSIS-VIKOR named TOPKOR (Aghajani Mir et al , 2016 ; Sedady and Beheshtinia, 2019), or introduced the fuzzy concept to deal with uncertainty problem in the decision-making process, for instance, fuzzy AHP-TOPSIS (Anand and Vinodh, 2018) and fuzzy ANP (Chan and Wang, 2013).…”

Section: Theoretical Background and Related Workmentioning

confidence: 99%

Proposal of a hybrid decision-making model for the alignment of the environmental performance

Boulagouas

Chaib

Djebabra

2020

MEQ

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PurposeDecoupling of pressures ranging from regulatory compliance and stakeholders expectations to business competitiveness and sustainability, companies need to align their environmental strategies with a broader consideration of these influences. This paper aims at developing a dynamic alignment model to enhance the environmental performance that considers the influential pressures based on a multi-criteria decision-making process.Design/methodology/approachAuthors have proposed a dynamic model for the alignment of the environmental performance based on a hybrid multi-criteria decision-making approach combining the analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This model considers contemporary strategic dynamism of the environmental performance and provides a methodology to assist companies prioritizing the environmental aspects based on the influential pressures and deciding on the enhancement pathways.FindingsThe proposed model based on a hybrid multi-criteria decision-making process allows prioritizing the environmental aspects considering the allocated weights to the alignment-triggered pressures and draw the way to develop different pathways to improve the alignment.Practical implicationsThe proposed dynamic alignment model presents an instrument for the continuous alignment of the environmental performance and an effective management of changes and contributes to minimize gaps and divergences.Originality/valueIn this paper, the environmental performance has been approached through the contemporary strategic dynamism with the deployment of the multi-criteria decision-making techniques to yield an alignment framework for the environmental decision that combines the internal and external approaches for an effective and sustainable improvement of the environmental performance.

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“…Currently, various research have applied ANP in many objectives, e.g., Chou (2018) applied ANP to find out the influencing factors of shipping registration in maritime industry; Quezada et al (2018) employed ANP and DEMATEL to identify causal relationships in strategy maps; and Farias et al (2019) used ANP to evaluate the impacts of lean and green practices on organisational performance and prioritise improvements in system. Hu et al (2019) employed ANP to construct the maintenance network for agricultural machinery clusters working in cross-regional operations in China.…”

Section: Anp Theoretical Frameworkmentioning

confidence: 99%

A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry

Sumrit

2020

IJMDM

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Technological innovation capabilities (TICs) are currently one of the essential factors to enhance the competitiveness of enterprises. The measurement of TICs is a complicated decision making process and quite difficult to perform because its assessment involves multi-attribute criteria and the subjective judgements of experts. To solve these problems, this study provides a TICs evaluating model by employing a hybrid multi-criteria decision making (MCDM) technique. This method is an integration of four approaches, consisting of: 1) fuzzy Delphi; 2) fuzzy DEMATEL; 3) analytical network process; 4) technique for order preference by similarity to an ideal solution (TOPSIS). The final results showed the measurement criteria, the interrelationship and the relative important weights among criteria and the ranking of TICs of firms. An empirical study is also illustrated in Thai automotive parts firms as a case study. Furthermore, this study could assist industrial managers to efficiently evaluate TICs and its direction of improvement.

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An ANP-based approach for lean and green performance assessment

Cited by 52 publications

References 38 publications

Impact of Lean, Agile and Green (LAG) on business competitiveness: An empirical study of fast moving consumer goods businesses

Impact of Lean, Agile and Green (LAG) on business competitiveness: An empirical study of fast moving consumer goods businesses

Proposal of a hybrid decision-making model for the alignment of the environmental performance

A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry

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