Lean manufacturing a vital tool to enhance productivity in manufacturing

Palange, Atul; Dhatrak, Pankaj

doi:10.1016/j.matpr.2020.12.193

Cited by 102 publications

(68 citation statements)

References 36 publications

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“…One of the most important is lean manufacturing (LM), which consists of tools that help to identify and eliminate operations that do not add value to the product, service, or process. However, as Alfieri, et al [3] Mathematics 2021, 9, 971 2 of 15 mentioned, the concept is still unclear after decades of application. Nevertheless, there is consensus that LM is focused on Wastes elimination, inventories, and space reduction, generating robust production systems, and providing agility and flexibility.…”

Section: Introductionmentioning

confidence: 99%

“…LM tools are classified according to their focus on the production process; some are focused on the production system's operational stability, others have focused on the flow of materials and on quality [3]. Together, all are focused on obtaining a more significant reduction of waste and guaranteeing product quality at a lower cost, having a customer focus with small production batches, and providing high safety and morale in workers [4].…”

Section: Introductionmentioning

confidence: 99%

“…For example, Melton [5] in 2005 had already considered what lean thinking offered to industries, while Rajenthirakumar and Shankar [6] analyzed the benefits that LM tools provide to a company that manufactures durable products. Recently, Islam [4] examined whether the manufacturer or suppliers obtained more benefits by applying LM to each other, while Palange and Dhatrak [3] concluded that LM was vital to achieving the productivity rates of the companies. However, Hao, et al [7] stated that it is often challenging to award to LM or some of its tools the benefits obtained since several are implemented simultaneously in the production lines.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Quality Lean Manufacturing Tools on Commercial Benefits Gained by Mexican Maquiladoras

et al. 2021

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Companies implement lean manufacturing (LM) tools in their production processes to reduce waste; however, it is difficult to quantify the effect on benefits gained after their implementation. This article proposes a structural equations model (SEM) that relates three LM tools associated with quality as total quality management (TQM), waste, and right first time (RFT) as independent variables associated with commercial benefits gained as a dependent variable. Those four variables were related by six hypotheses that were validated with information from 169 responses to a survey applied to the Mexican maquiladora industry. Partial least squared was used to validate the hypotheses as direct effects. The sum of indirect and total effects was also estimated, and a sensitivity analysis was developed for relationships between variables. Findings indicate that TQM directly affects waste reduction, drives doing RFT, and directly and indirectly affects the commercial benefits gained.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of Quality Lean Manufacturing Tools on Commercial Benefits Gained by Mexican Maquiladoras

et al. 2021

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“…Regarding methods for design review and optimization, in some competitive industries, continuous improvement methods are widely applied, such as Lean, Kaizen or Six-Sigma [ 29 , 30 ], also combined with Fuzzy Logic and VIKOR procedures [ 11 , 31 ], but in this case, the main focus is on manufacturing process optimization in the serial production phase. For design optimization, mono-criteria improvement methodologies can be applied, such as “Design for Manufacturing” [ 32 ] or “Design to Cost” [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

“…As an example, even if applying some existing plastic design methods [ 13 , 14 , 29 , 30 ] to the single-use plastic cup, as seen in Figure 1 b, the result could be a cup with an OK result in FEM simulations, rheology, and molding feasibility, as well as a lean production process. However, designers and manufacturers need a wider view of their design, considering other aspects, such as product lifetime or end-of-life waste volume, making it possible to detect that this disposable cup is a short-life, and non-sustainable solution.…”

Section: Introductionmentioning

confidence: 99%

Development of a Multi-Criteria Design Optimization Methodology for Automotive Plastics Parts

Romero

Lite

Liraut³

2021

Polymers

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The plastic industry is undergoing drastic changes, due to the customer sustainability perception of plastics, and the eruption of new processes (such 3D printing) and materials (such as renewably sourced resins). To enable a fast transition to high-quality, sustainable plastic applications, a specific methodology could be a key competitive advantage. This novel methodology is focused on improving the objectivity and efficiency of plastic production and the design review process. It is applicable to discrete optimization events in any product lifecycle milestone, from concept design to serial production stages. The methodology includes a natural way to capture plastic-related knowledge and trends, oriented towards building a dynamic “interaction matrix”, with a list of potential optimizations and their positive or negative impacts in a comprehensive set of multi-criteria evaluations. With an innovative approach, the matrix allows the possibility to incorporate a business strategy, which could be different at every lifecycle stage. The business strategy is translated from the common “verbal” definition into a quantitative set of “Target and Restrictions”, making it possible to detect and prioritize the best potential design optimization changes according to the strategy. This methodology helps to model and compare design alternatives, verify impacts in every evaluation criteria, and make robust and objective information-based decisions. The application of the methodology in real cases of plastic material design optimization in the automotive industry has provided remarkable results, accelerating the detection of improvement methods aligned with the strategy and maximizing the improvement in product competitiveness and sustainability. In comparison with the simultaneous application of existing mono-criteria optimization methodologies (such as “Design to Cost” or “Eco Design”) and subjective expert-based reviews, the novel methodology has a reduced workload and risks, confirming its potential for future application and further development in other polymer-based products, such as consumer goods or packaging.

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Advocating Lean Practices and Strategies in Decision‐Making for Reinforcing Industrial and Manufacturing Designs

Nishad,

Sahu,

Sahu

2024

Industrial and Manufacturing Designs

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Lean manufacturing a vital tool to enhance productivity in manufacturing

Cited by 102 publications

References 36 publications

Effect of Quality Lean Manufacturing Tools on Commercial Benefits Gained by Mexican Maquiladoras

Effect of Quality Lean Manufacturing Tools on Commercial Benefits Gained by Mexican Maquiladoras

Development of a Multi-Criteria Design Optimization Methodology for Automotive Plastics Parts

Advocating Lean Practices and Strategies in Decision‐Making for Reinforcing Industrial and Manufacturing Designs

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