Int J Performability Eng ›› 2021, Vol. 17 ›› Issue (9): 804-814.doi: 10.23940/ijpe.21.09.p7.804814
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D. Sobyaa,*, S. Nallusamyb, Partha Sarathi Chakrabortyc
|  Gupta, S. and Jain, S.K.A literature review of lean manufacturing.
 Jani, S.Y. and Desai, T.N.Review of lean manufacturing practices-critical success factors and performance measures for SMEs.
 Sharma B.K., Shukla M., andDubey G.Implementation of lean manufacturing in foundry industry-An overview.
 Garza-Reyes, J.A., Kumar, V., Chaikittisilp, S., and Tan, K.H. The effect of lean methods and tools on the environmental performance of manufacturing organisations.
 Morales Méndez, J. and Rodriguez, R. Total productive maintenance (TPM) as a tool for improving productivity: a case study of application in the bottleneck of an auto-parts machining line.
 Nallusamy S., Kumar V., Yadav V., Prasad U.K., andSuman S.K.Implementation of total productive maintenance to enhance the overall equipment effectiveness in medium scale industries.
 Modi, D.B. and Thakkar, H.Lean thinking: reduction of waste, lead time, cost through lean manufacturing tools and technique.
 Kaushik, Chaudhari. and Sanjay, C. Shah, A Literature Review on Lead Time Reduction using the Value Stream Mapping,
 Oberhausen, C. and Plapper, P.Value stream management in the “lean manufacturing laboratory”.
 Balakannan K., Nallusamy S., Chakraborty P.S., andMajumdar G.Performance evaluation of supply chain and logistics management system using balanced score card for efficiency enhancement in Indian automotive industries.
 Rajenthirakumar D., Caxton R.J., Sivagurunathan S., andBalasuadhakar A.Value stream mapping and work standardization as tools for lean manufacturing implementation: A case study of an Indian manufacturing industry.
 Dighe, S.B. and Kakirde, A.Lean manufacturing implementation using value stream mapping: A case study of pumps manufacturing company.
 Suganthini Rekha, R., Periyasamy, P., and Nallusamy, S. An optimized model for reduction of cycle time using value stream mapping in a small scale industry. In
 Pandit S.V., Kadam S.J., Kharat A., andNayakawade C.U.Productivity improvement by application of line balancing.
 Amardeep, Rangaswamy, T.M., and Gautham. Line Balancing of Single Model Assembly Line.
 Nallusamy, S. and Saravanan, V.Optimization of process flow in an assembly line of manufacturing unit through lean tools execution. In
 Vinodh S., Gautham S.G., andRamiya R, A. Implementing lean sigma framework in an Indian automotive valves manufacturing organisation: a case study.
 Nallusamy S.Execution of lean and industrial techniques for productivity enhancement in a manufacturing industry.
 Nallusamy S.Productivity enhancement in a small scale manufacturing unit through proposed line balancing and cellular layout.
 Pereira, J. and Álvarez-Miranda, E. An exact approach for the robust assembly line balancing problem.
 Mathur A., Mittal M.L., andDangayach G.S.Improving productivity in Indian SMEs.
 Belić D., Kunica Z., Opetuk T., andĐukić G.Optimization of the plant layout in the production of the special transformers-case study.
 Dhawan A., Kasdekar D.K., andAgrawal S.Layout design and evaluation using computer relative allocation of facilities technique. In
|||Kiran Chaudhari, Nilesh P. Salunke, Vijay R. Diware. A Comprehensive Review on Performance Improvement of Diesel and Biodiesel fueled CI Engines using Additives [J]. Int J Performability Eng, 2021, 17(9): 815-824.|
|||Tyler D. Ridder and Ram M. Narayanan. Radar Detection Performability under Graceful Degradation [J]. Int J Performability Eng, 2021, 17(8): 666-675.|
|||D. Laddha Manjushree, T. Lokare Varsha, W. Kiwelekar Arvind, and D. Netak Laxman. Performance Analysis of the Impact of Technical Skills on Employability [J]. Int J Performability Eng, 2021, 17(4): 371-378.|
|||Tyler D. Ridder and Ram M. Narayanan. Operational Reliability Metric to Characterize Radar Detection Performability [J]. Int J Performability Eng, 2021, 17(4): 354-363.|
|||S. Nallusamy. Performance Measurement on Inventory Management and Logistics Through Various Forecasting Techniques [J]. Int J Performability Eng, 2021, 17(2): 216-228.|
|||Chuan Zhao, Yan Song, Min Zuo, and Hongji Yang. Performance Analysis for Green Food in Dual-Channel Supply Chain Considering Fairness Concern [J]. Int J Performability Eng, 2021, 17(1): 155-166.|
|||Jon Tømmerås Selvik, Ian Stanley, and Eirik Bjorheim Abrahamsen. SMART Criteria for Quality Assessment of Key Performance Indicators Used in the Oil and Gas Industry [J]. Int J Performability Eng, 2020, 16(7): 999-1007.|
|||Chen Li,casper Schou, and Yuqing Qi. A Performance Analysis Platform for Performance Evaluation of Smart Production Lines [J]. Int J Performability Eng, 2020, 16(6): 834-845.|
|||Yong Cui, Haoran Chen, and Liang Zhu. Improved Post-Copy Live Migration with Memory Page Prefetching [J]. Int J Performability Eng, 2020, 16(5): 728-737.|
|||Jin Tao, Hao Gang. Lithium-ion Battery Performance Degradation Recognition Method based on SOC Estimation [J]. Int J Performability Eng, 2020, 16(2): 307-313.|
|||Yong Cui, Liang Zhu, Zengyu Cai, and Ying Hu. An Adaptive Traffic-Aware Migration Algorithm Selection Framework in Live Migration of Multiple Virtual Machines [J]. Int J Performability Eng, 2020, 16(2): 314-324.|
|||Ahmed Bounit, Elhassan Irhirane, Badr Dakkak, Abdelatif Rajji, and Abaida Abdellah. Evaluation Model of the Production System Effectiveness [J]. Int J Performability Eng, 2019, 15(8): 2031-2039.|
|||Yu Sheng, Weirong Liu, Yating Li, Ping Zhong, and Guihua Duan. A Comparison of Mobile Vehicles for Data Collection and Wireless Charging [J]. Int J Performability Eng, 2019, 15(8): 2249-2257.|
|||Narendra Kumar, P. C. Tewari, and Anish Sachdeva. Performance Modeling and Analysis of Refrigeration System of a Milk Processing Plant using Petri Nets [J]. Int J Performability Eng, 2019, 15(7): 1751-1759.|
|||Sixin Tang. Combining Stochastic Grammar and Semi-Supervised Learning Techniques to Extract RNA Structures with Pseudoknots [J]. Int J Performability Eng, 2019, 15(7): 1939-1946.|