Analysis of competitiveness level in an industrial company using a continuous improvement-based approach

Aouag, Hichem; Kobi, Abdessamad; Athmane, Mechenene

doi:10.1504/ijssca.2015.074958

Cited by 3 publications

(2 citation statements)

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“…In addition, the results of the global weights of sustainable factors are presented in Figure 3: Among the sustainable factors, Quality level (f6) was the most significant factor with the highest weight (0.188). This justified as quality is one of the important keys to achieve success Framework for sustainable manufacturing in business (Aouag et al, 2015). Improve the technical expertise (f14) held the second position with the weight value of 0.0185.…”

Section: Framework For Sustainable Manufacturingmentioning

confidence: 99%

“…The optimization of raw materials consumption can be included in the improvement project scope (Erdil et al, 2018). Consumer satisfaction (f11) held the twelfths rank with the weight value of 0.0188; according to Aouag et al (2015), customer satisfaction is considered as an important goal of an organization to enhance the sustainability of the manufacturing process. Energy consumption (f3) take the Thirteenth position with the weight value (0.016).…”

Section: Framework For Sustainable Manufacturingmentioning

confidence: 99%

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Benchmarking framework for sustainable manufacturing based MCDM techniques

Aouag

Mohyeddine

Abdessamed

2021

BIJ

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PurposeThe purpose of this paper is to develop a model for sustainable manufacturing by adopting a combined approach using AHP, fuzzy TOPSIS and fuzzy EDAS methods. The proposed model aims to identify and prioritize the sustainable factors and technical requirements that help in improving the sustainability of manufacturing processes.Design/methodology/approachThe proposed approach integrates both AHP, Fuzzy EDAS and Fuzzy TOPSIS. AHP method is used to generate the weights of the sustainable factors. Fuzzy EDAS and Fuzzy TOPSIS are applied to rank and determine the application priority of a set of improvement approaches. The ranks carried out from each MCDM approach is assessed by computing the spearman's correlation coefficient.FindingsThe results reveal the proposed model is efficient in sustainable factors and the technical requirements prioritizing. In addition, the results carried out from this study indicate the high efficiency of AHP, Fuzzy EDAS and Fuzzy TOPSIS in decision making. Besides, the results indicate that the model provides a useable methodology for managers' staff to select the desirable sustainable factors and technical requirements for sustainable manufacturing.Research limitations/implicationsThe main limitation of this paper is that the proposed approach investigates an average number of factors and technical requirements.Originality/valueThis paper investigates an integrated MCDM approach for sustainable factors and technical requirements prioritization. In addition, the presented work pointed out that AHP, Fuzzy EDAS and Fuzzy TOPSIS approach can manipulate several conflict attributes in a sustainable manufacturing context.

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Section: Framework For Sustainable Manufacturingmentioning

confidence: 99%

Section: Framework For Sustainable Manufacturingmentioning

confidence: 99%