Lean Manufacturing Model for the Reduction of Production Times and Reduction of the Returns of Defective Items in Textile Industry

Andrade, Yanira; Cardenas, Leslie; Viacava, Gino; Raymundo, Carlos; Domı́nguez, Francisco

doi:10.1007/978-3-030-20444-0_39

Cited by 30 publications

(12 citation statements)

References 10 publications

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“…However, we argue that lean manufacturing principles are primarily grounded on the philosophy of maximizing productivity by minimizing the ordeal of industrial waste ( Botti et al., 2017 ; Cortez et al., 2020 ; Maia et al., 2019 ; Thomas et al., 2018 ). Furthermore, we assert that although industrial waste can be minimized by implementing the lean manufacturing principles ( Andrade et al., 2020 ; Chauhan, 2016 ; Manfredsson, 2016 ; Shrafat and Ismail, 2019 ). Yet, the essence of organizational concern towards environment protection is much noteworthy in CPP ( Aranda-Usón et al., 2020 ; Cesar da Silva et al., 2021 ; de Oliveira et al., 2019 ; Ramos et al., 2021 ; Scarazzato et al., 2017 ) which makes former significantly less industrious in terms of our environmental safeguard measures ( Botti et al., 2017 ; Cong and Shi, 2019 ; Psomas and Antony, 2019 ; Salam and Farooq, 2020 ).…”

Section: Introductionmentioning

confidence: 89%

Cleaner production practices at company level enhance the desire of employees to have a significant positive impact on society through work

Farooq

Salam

2021

Journal of Cleaner Production

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Implementation of cleaner production practices (CPP), service quality (SQ) and corporate social responsibility (CSR) is often studied at organizational level. A number of studies on trio have reported it’s significant impact on overall organizational performance and profitability across the globe. However, not much is studied about the individual level micro influence of these constructs on employee engagement (EE), organizational pride (OP), organizational identification (OI) and “desire to have a significant impact through work” (DSIW). Therefore, this study presents a comprehensive framework for assessing the impact of the implementation of CPP, SQ and CSR on EE, OP, OI and DSIW. Data collected from 320 non-managerial staff members employed at a garments manufacturing company in Pakistan was analyzed using partial least square (PLS) approach. Findings revealed that the implementation of CPP, SQ and CSR plays an important role in shaping EE, OP, OI and DSIW in the garments manufacturing industry. Further, it is found that the implementation of CPP has a non-significant impact on SQ. Additionally, results of the importance-performance map analysis (IPMA) have also confirmed that the implementation of CPP at company level has shown a highest importance and performance amongst all the latent constructs proposed as predictors of DSIW in the garments manufacturing industry. These findings are a step forward and unique contribution of this study in the domain of CPP, SQ, CSR, EE, OP, OI and DSIW.

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Section: Introductionmentioning

confidence: 89%

Cleaner production practices at company level enhance the desire of employees to have a significant positive impact on society through work

Farooq

Salam

2021

Journal of Cleaner Production

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“…Fuente: Basado en (Andrade et al, 2019;Asmae et al, 2019;Dave & Sohani, 2019;Hernandez et al, 2018;Zhu et al, 2016).…”

Section: Cuadro 1 Matriz Comparativa De Metodologíasunclassified

Modelo de Producción en la Industria Acuícola Peruana

Quiroz-Flores¹,

Rios-Del-Castillo²,

Guia-Espinoza³

2022

RVG

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Esta investigación busca validar un modelo de producción para mejorar los procesos productivos del cultivo de trucha arco iris del sector acuícola de la región sur del Perú. El planteamiento del modelo de producción se determinó a través de la combinación de las metodologías como Lean Manufacturing y Business Process Management para facilitar el control de procesos, la gestión de los inventarios y la planificación de la producción. Estas metodologías se integraron a partir de la revisión de la literatura y el diagnóstico realizado a través de la recopilación de información primaria de los productores aledaños dentro del departamento de Junín, en el centro del Perú. Los resultados dan cuenta del éxito del modelo a través de su implementación en las piscigranjas de los acuicultores de Junín y una simulación en el software ARENA versión 14.0, de este modo se obtuvieron resultados óptimos que muestran una mejora significativa de la productividad. Los resultados obtenidos luego de la implementación y la simulación muestran un incremento del 71,87% en la productividad con respecto al estado inicial, además se logra reducir en 16.67% el tiempo del ciclo de producción. Se concluye que el modelo de producción propuesto es exitoso y compatible para mejorar los procesos de producción en el sector acuícola.

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“…Given this situation, it is extremely necessary and essential to adapt a Lean production management model to the organizational culture, as well as to apply tools such as "Value Stream Mapping" and the "5's" methodology as the basis of the organizational culture of continuous improvement. In addition, textile companies must rely on standardization and repeatability during their production processes [12]- [15].…”

Section: State Of Artmentioning

confidence: 99%

“…On the other hand, the level of production that was reached during the year 2020 had a contraction of 25.7% due to the coronavirus pandemic. This information allows us to know that the textile sector today is going through multiple operational problems, which does not allow an optimal development of production, so that in this way the level of competitiveness existing in the market is achieved [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

Production Model to Increase the Rate of Order Fulfillment through the Implementation of Lean and MRP Tools in Dyeing in the Textile Sector

2022

Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications

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The textile sector is one of the industries with the greatest relevance and development of the Peruvian economy, however, currently customers are characterized by being increasingly demanding, which forces organizations to be more flexible to change, these changes have a great impact on small and mediumsized companies as it causes problems of non-fulfillment of orders making service levels very low. It should also be noted that it is these companies that are unaware of the importance of using continuous improvement tools, as well as those that provide little or no training to their staff as a strategy to mitigate the problem. Consequently, a literature review was carried out in order to compile production models of the textile sector to solve the problem of non-fulfillment of orders. The proposed model includes Lean Manufacturing tools, as well as the use of MRP. The present design is focused on the implementation of models executed in other companies without the need for a very large investment, or the use of the most advanced technology of today.

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Lean Manufacturing Model for the Reduction of Production Times and Reduction of the Returns of Defective Items in Textile Industry

Cited by 30 publications

References 10 publications

Cleaner production practices at company level enhance the desire of employees to have a significant positive impact on society through work

Cleaner production practices at company level enhance the desire of employees to have a significant positive impact on society through work

Modelo de Producción en la Industria Acuícola Peruana

Production Model to Increase the Rate of Order Fulfillment through the Implementation of Lean and MRP Tools in Dyeing in the Textile Sector

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