Yazar "Kalsi, Nirmal Singh" seçeneğine göre listele

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    Effectiveness improvement in manufacturing industry; trilogy study and open innovation dynamics
    (Multidisciplinary Digital Publishing Institute (MDPI), 2021) Tayal, Ashwani; Kalsi, Nirmal Singh; Gupta, Munish Kumar; Pimenov, Danil Yurievich; Sarikaya, Murat; Pruncu, Catalin I.
    The purpose of this investigation is to compute overall equipment effectiveness (OEE) in the small-scale industry. The novel approach is introduced to detect bottlenecks by which OEE can be improved. This study attempts to help small-medium enterprises in analyzing performance in a better way. The automotive industry was chosen for conducting the research. The present study is comprised of three phases. In the first phase, OEE was computed and compared with world-class manufacturing. The second phase included three-level of Pareto analysis followed by making fishbone diagram to mitigate the losses. The third phase conducted improved OEE in the industry. There are seven major losses present in the industry that adversely affect the effectiveness of machine in any industry. This approach can reduce these losses and improve the quality, asset utilization (AU), OEE, total effective equipment performance (TEEP) and productivity of the machine. The study exposes that Pareto analysis uncovers all the losses and works on the principle of 80/20 rule. The major losses were thoroughly explored with the help of the fishbone diagram and solutions were implemented at the shop floor. As a result, availability, performance, quality, OEE, AU, and TEPP show improvements by 4.6%, 8.06%, 6.66%, 16.23%, 4.16%, and 14.58%, respectively. The approach offers a good opportunity for both researchers and small-medium enterprises around the world to analyze the indicators of production losses, performance, and productivity in the manufacturing industry. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
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    Öğe
    Reliability and economic analysis in sustainable machining of Monel 400 alloy
    (Sage Publications Ltd, 2021) Tayal, Ashwani; Kalsi, Nirmal Singh; Gupta, Munish Kumar; Garcia-Collado, A.; Sarikaya, Murat
    Engineering field nurtures a variety of superalloys and its wide applications due to the inherent properties of such material. The prime concern of working engineers is to explore reliability, quality, economy, and machinability analysis of these superalloys. In this work, sustainable machining of Monel 400superalloy using PVD multilayer coated carbide tool under dry turning was studied. Surface roughness (Ra, Rz, and Rq), power (P) and cutting force (Fc) were addressed as responses. The subsequent effect of cutting speed, feed and depth of cut on the responses was explored through response surface methodology (RSM), statistical analysis of variance (ANOVA) and multiple regression analysis. Details of tool wear was observed via scanning electron microscope (SEM) to know the cutting behavior at interface. Further, the reliability and economic analysis were performed to substantiate the feasibility of cutting insert. The investigation reveals that surface roughness was affected by feed and cutting speed. The increase in cutting speed uncovers lower cutting forces with improved surface finish during dry turning which further reduces the power requirement. The economic analysis shows unit production time and unit production cost based on a single insert PVD coated carbide tool under optimum value condition. The reliability analysis exposes the meantime to repair (MTTR) (5 min), mean time between failure (MTBF) (28 min), availability (84.8%), failure rate (0.03), and reliability (80.5%) for the production system.