Abstract
Quality of medical devices is an important criterion when it comes to addressing health of a human being. Medical devices are manufactured with great effort to reduce risk. However, Micro, Small, Medium Enterprises (MSME)s in manufacturing are unable to afford high-end technology and complex quality control methods. A Smart Incoming Inspection system was developed to address the quality challenges faced by a local micro-enterprise for medical device manufacturing. The system was deployed in the manufacturing location, and inspection of incoming raw materials was carried out. Comparison of the final inspection data with and without the use of the smart incoming inspection system exhibited significant improvement in quality control when the system was used. Using the Define-Measure-Analyse-Improve-Control (DMAIC) method of six sigma, the impact of introducing the system to the production line was analysed, indicating improved First Pass Yield (FPY) of 1.88% and over threefold reduction in rejection rate.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Juran JM, Godfrey AB (eds) (1999) Juran’s quality handbook, 5th edn. McGraw Hill
Kang CW, Ramzan MB, Sarkar B, Imran M (2018) Effect of inspection performance in smart manufacturing system based on human quality control system. Int J Adv Manuf Technol 94(9):4351–4364
Quality Glossary. American Society for Quality (ASQ). (Accessed 02 Jan 2020)
ISO 2859-1:1999, Sampling procedures for inspection by attributes — Part 1: Sampling schemes indexed by acceptance quality limit (AQL) for lot-by-lot inspection; 3.1.1
Besterfield DH (2004)Â Quality control. Pearson Education, India
Kosmopoulos D, Varvarigou T (2001) Automated inspection of gaps on the automobile production line through stereo vision and specular reflection. Comput Ind 46(1):49–63
Cheng K, Bateman RJ (2008) e-Manufacturing: characteristics, applications and potentials. Prog Nat Sci 18(11):1
Recommendations of the Task Force on the Medical Devices Sector in India, Department of Pharmaceuticals, GOI, 2015 (Accessed 08 Mar 2020)
Atul KSP, GH S, Pradipta B, Manish A, Amaresh C (2019) Designing an affordable system for early defect detection using image processing. Adv Transdiscip Eng 121–128
Brewer A, Sloan N, Landers TL (1999) Intelligent tracking in manufacturing. J Intell Manuf 10(3):245–250
Gijo EV, Scaria J (2010) Reducing rejection and rework by application of Six Sigma methodology in manufacturing process. Int J Six Sigma Compet Adv 6(1/2):77
Malek J, Desai D (2015) International journal for quality research. Int J Quality Res 9(4):577–604
Gholap PC, Desai TN (2012) Reduction of rework the Six Sigma way: case study of an Indian small scale industry. Int J Six Sigma Compet Adv 7(1):92–116
Yousaf F, Butt SI, Ahmad R, Six sigma implementation to reduce rejection rate of Pump Casings at local Manufacturing Company
Foidl H, Felderer M (2015) Research challenges of industry 4.0 for quality management. In: International conference on enterprise resource planning systems, pp 121–137. Springer, Cham
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kannaraya, P.S., Shreya, G.H., Arora, M., Chakrabarti, A. (2023). Impact of Smart Incoming Inspection System on the Production, in a Medical Device Manufacturing MSME. In: Chakrabarti, A., Suwas, S., Arora, M. (eds) Industry 4.0 and Advanced Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-0561-2_15
Download citation
DOI: https://doi.org/10.1007/978-981-19-0561-2_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0560-5
Online ISBN: 978-981-19-0561-2
eBook Packages: EngineeringEngineering (R0)