Lean Manufacturing Implementation in the Sewing Industry

Obeidat, Mohammed Said; Al‐Aomar, Raid; Pei, Zhi

doi:10.1080/19488289.2014.890980

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…Generally, such actions are informed by a diagnostic phase, as demonstrated through the Guide, Muyldermans and van Wassenhove (2005) vignette, Colledani et al (2010) and Perona et al (2016). It can also be included within general diagnostic approaches, often linked to lean principles (Obeidat, al-Aomar and Pei 2014;Dinis-Carvalho et al 2015;Bertolini, Romagnoli and Zammori 2017). However, there are some papers where the diagnostic stage is not evident, particularly when creating 'new' supply chain structures (Nozick and Turnqvist 2001;Vanteddu, Chinnam and Gushikin 2011).…”

Section: Discussionmentioning

confidence: 99%

On the versatility of Little’s Law in operations management: a review and classification using vignettes

Potter

Towill

Gosling

2019

Production Planning & Control

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Despite Little's Law being considered as one of the 'laws' of operations management, evidence of its application in an empirical context is diverse and diffuse. Hence, this paper aims to identify, classify and consolidate published empirical applications of Little's Law in a systematic manner to better understand its versatility. This paper undertakes a systematic literature review of the databases of the five main publishers of operations management journals, plus snowball sampling for additional papers. A final sample of 128 empirical journal articles is identified and categorized. Tactical, medium-term decisions relating to capacity dynamics and operations re-engineering are the most popular categories. To give further insights into versatility, vignettes for each category are developed. The review and vignettes confirm Little's Law as a highly relevant paradigm to operations management decisions due to its empirical versatility across levels, sectors and time domains. The paper suggests four factors to underline the empirical versatility of Little's Law in operations management: applicability, utility, simplicity and visibility.

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Section: Discussionmentioning

confidence: 99%

On the versatility of Little’s Law in operations management: a review and classification using vignettes

Potter

Towill

Gosling

2019

Production Planning & Control

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“…Again, this does not contribute to the solution of the problem under study. Much of the research focuses on lean manufacturing implementation to reduce waste in manufacturing processes reported in [11], [16], [23], and [32]. In contrast, [2] and [12] compared lean manufacturing with the mechanisms proposed in traditional studies that were specific to each company.…”

Section: State Of the Artmentioning

confidence: 99%

“…The interpretation of these restrictions will aid in determining the problems with the greatest impact on production. For production processes, [16] points out that tasks are divided into 2 categories: value added (VA) and non-value added (NVA). This is based on factors that are considered essential to add value to the product or service.…”

Section: Development Model Proposalmentioning

confidence: 99%

Lean optimization model for managing the yield of pima cotton (gossipier Barba dense) in small- and medium-sized farms in the Peruvian coast areas

Rojas

Quispe

Raymundo

2018

IJET

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This study proposes a lean manufacturing-based optimization model to standardize “Pima cotton” crop yields in the Peruvian coast areas toward the north of Piura as the study area. The study also discusses how Pima cotton is grown in the Peruvian cost areas. This is represented in 2 stages: diagnosis and development of the cotton crop model. The diagnosis stage consists of 3 steps, and the development stage consists of 2 steps. The interrelation of each stage has been identified with the lean manufacturing principle for the improvement of crop yield. Results showed that to increase current crop yield in Piura to 172 bushels/ha as well as determine the quantities of resources and raw materials required considering a standardized crop production process. The limitations of the research depend on the climatic conditions in Peru. The main contribution of this research is to propose a model using which farmers may produce Pima cotton by utilizing the indicators proposed to increase the process control. In addition, the paper proposes a standardized crop production process that farmers must follow, supported by a mathematical model simulation.

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“…due to strong competition in the business [1]. To address these problems, in the present investigation, waste or failures are highlighted as a point of improvement within the production processes, since these are the main causes of alteration in any production line [2]. Situating ourselves in the textile sector of Peru, where 99.9% of garment manufacturing were identified as MSEs and the rest (0.1%) as large and medium-sized companies [3], there is clearly an improvement and innovation initiative for the application of the good practices of lean manufacturing, since Peru has a notable recognition for its textile quality, which would allow greater ease of access to the international market and with high competitiveness [4].…”

Section: Introductionmentioning

confidence: 99%

Production model based on Lean Manufacturing and TPM to increase efficiency in a company in the textile sector

Alcazar Zamora,

Collao Diaz,

Escalante Cier

2023

Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD 202

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The textile industry has been a participant in a global transformation, where the use of new technologies and tools achieve greater effectiveness within the organization. However, the management of these tools in the MSEs, who represent 99% of textile clothing in Peru are scarce, which reveals the various problems that affect the production efficiency of this sector, where the main problems are waste and production cycle times. That is why the purpose of this paper is to develop an improvement system through Lean Manufacturing tools, such as SMED and Standardized work, and a TPM program, under the PDCA methodology, which increases the productive efficiency of a Peruvian textile company. Likewise, the execution of the improvement proposal will be validated through the Arena simulator software; where positive results were obtained, with an increase in productive efficiency by 42% and a positive economic impact due a reduction of 73.81% for unproductivity and shrinkage. To contribute to scientific knowledge, this study could be used as a methodological basis for future research on the topic in question.

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Lean Manufacturing Implementation in the Sewing Industry

Cited by 9 publications

References 8 publications

On the versatility of Little’s Law in operations management: a review and classification using vignettes

On the versatility of Little’s Law in operations management: a review and classification using vignettes

Lean optimization model for managing the yield of pima cotton (gossipier Barba dense) in small- and medium-sized farms in the Peruvian coast areas

Production model based on Lean Manufacturing and TPM to increase efficiency in a company in the textile sector

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