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Shakir Azim
Department of Industrial Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan

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Journal article
Published: 20 March 2021 in Sustainability
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Quick response manufacturing (QRM) is a relatively new concept that enfolds all the preceding approaches, namely, just in time (JIT), flexible manufacturing, agile manufacturing, and lean production. QRM is compatible with existing materials requirement planning (MRP) systems and can be implemented efficiently. The ideas from QRM have been highly influential in custom-made engineer-to-order and make-to-order (ETO/MTO) high-mix and low-volume production environments. This study investigates the effectiveness of the POLCA (paired cell overlapping loops of cards) integrated QRM framework for reducing lead time. The POLCA integrated QRM approach was implemented in a precise product manufacturing industry. The industry was facing high penalties due to improper planning and uncontrolled lead times. The implementation of QRM with the POLCA framework indicated optimized production scheduling and significant improvement in lead time and work in process (WIP). After implementing the new manufacturing strategy, the performance parameters showed significant improvement in terms of reducing the percentage loss of profit.

ACS Style

Wanzhu Wang; Qazi Khalid; Muhammad Abas; Hao Li; Shakir Azim; Abdur Babar; Waqas Saleem; Razaullah Khan. Implementation of POLCA Integrated QRM Framework for Optimized Production Performance—A Case Study. Sustainability 2021, 13, 3452 .

AMA Style

Wanzhu Wang, Qazi Khalid, Muhammad Abas, Hao Li, Shakir Azim, Abdur Babar, Waqas Saleem, Razaullah Khan. Implementation of POLCA Integrated QRM Framework for Optimized Production Performance—A Case Study. Sustainability. 2021; 13 (6):3452.

Chicago/Turabian Style

Wanzhu Wang; Qazi Khalid; Muhammad Abas; Hao Li; Shakir Azim; Abdur Babar; Waqas Saleem; Razaullah Khan. 2021. "Implementation of POLCA Integrated QRM Framework for Optimized Production Performance—A Case Study." Sustainability 13, no. 6: 3452.

Journal article
Published: 29 September 2020 in Metals
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Design and manufacturing are the key steps in the sustainable manufacturing of any product to be produced. Within the perspective of injection molds production, increased competitiveness and repeated changes in the design require a complete optimized manufacturing process. Local and minor improvements in the milling process do not generally lead to an optimized manufacturing process. The goal of the new geometry and parametric analysis of the mould is to reduce the quality issues in mild steel grade 60. In this explicit research, the surface roughness (smoothness) of indigenously produced injection moulds in the local market in Pakistan is investigated. The CNC milling machine (five-axis) is used for the manufacturing of an injection mould, and the Taguchi method of the design of the experiment is applied for parameters optimization. Hence, the overall process is assisted in balancing the milling machine parameters to trim down the surface roughness issue in mild steel moulds and increase their sustainability. The spindle speed (rpm), the depth of cut (mm), and the feed rate (mm/rev) are considered as input variables for process optimization, and the experiments are performed on mild steel grade 60. It is deduced that the combination of a spindle speed of 800 rpm, feed rate of 10 mm/rev and depth of cut of 0.5 mm is the best case in case of minimum surface roughness, which leads to sustainable products. It is also deduced from ANOVA, that the spindle speed is a factor that affects the surface roughness of mild steel products, while the feed rate turns out to be insignificant.

ACS Style

Shakir Azim; Sahar Noor; Qazi Salman Khalid; Aqib Mashood Khan; Danil Yurievich Pimenov; Imran Ahmad; Abdur Rehman Babar; Catalin I. Pruncu. Sustainable Manufacturing and Parametric Analysis of Mild Steel Grade 60 by Deploying CNC Milling Machine and Taguchi Method. Metals 2020, 10, 1303 .

AMA Style

Shakir Azim, Sahar Noor, Qazi Salman Khalid, Aqib Mashood Khan, Danil Yurievich Pimenov, Imran Ahmad, Abdur Rehman Babar, Catalin I. Pruncu. Sustainable Manufacturing and Parametric Analysis of Mild Steel Grade 60 by Deploying CNC Milling Machine and Taguchi Method. Metals. 2020; 10 (10):1303.

Chicago/Turabian Style

Shakir Azim; Sahar Noor; Qazi Salman Khalid; Aqib Mashood Khan; Danil Yurievich Pimenov; Imran Ahmad; Abdur Rehman Babar; Catalin I. Pruncu. 2020. "Sustainable Manufacturing and Parametric Analysis of Mild Steel Grade 60 by Deploying CNC Milling Machine and Taguchi Method." Metals 10, no. 10: 1303.