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2021 | OriginalPaper | Buchkapitel

Identification of Factors for Lean and Agile Manufacturing Systems in Rolling Industry

verfasst von : Rahul Sindhwani, Rahul Dev Gupta, Punj Lata Singh, Vipin Kaushik, Sumit Sharma, Rakesh Kumar Phanden, Rajender Kumar

Erschienen in: Advances in Industrial and Production Engineering

Verlag: Springer Singapore

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Abstract

The rolling industries have significant contribution to produce the sheet metal-based components. To obtain better outcome and enhanced performance, the implementation of integrated lean and agile manufacturing concept is highly important for such industries. In the present paper, the issues related to the influence of applying of lean and agile system have been recognized at the initial stage. In addition, ordinary issues (factors) were also explored at the later stage. The paper will be helpful for the authors and managers in identifying as well as developing the basis of LM and AM simultaneously and their impact on rolling industries.

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Abdullah, F.M.: Lean Manufacturing Tools and Techniques in the Process Industry with a Focus on Steel, Diss. The University of Pittsburgh (2003)

Abdulmalek, F.A., Rajgopal, J.: Analyzing the benefits of lean manufacturing and value stream mapping via simulation: a process sector case study. Int. J. Prod. Econ. 107(1), 223–236 (2007)CrossRef

Abdulmalek, F.A., Rajgopal, J., Needy, K.L.: A classification scheme for the process industry to guide the implementation of lean. Eng. Manage. J. 18(2), 15–25 (2006)CrossRef

Ahmad, K.I., Shrivastav, R.L., Pervez, S., Khan, N.P.: Analysing quality and productivity improvement in steel rolling industry in central India. IOSR J. Mechan. Civil Eng. (IOSR-JMCE) 6–11 (2014)

Adeleye, E.O., Yusuf, Y.Y.: Towards agile manufacturing: models of competition and performance outcomes. Int. J. Agile Syst. Manage. 1(1), 93–110 (2006)CrossRef

Belekoukias, I., Garza-Reyes, J.A., Kumar, V.: The impact of lean methods and tools on the operational performance of manufacturing organizations. Int. J. Prod. Res. 52(18), 5346–5366 (2014)CrossRef

Bessant, J., Caffyn, S.: High-involvement innovation through continuous improvement. Int. J. Technol. Manage. 14(1), 7–28 (1997)CrossRef

Booth, R.: Agile manufacturing. Eng. Manage. J. 6(2), 105–112 (1996)

Bullinger, H.J.: Turbulent times require creative thinking: new European concepts in production management. Int. J. Prod. Econ. 60, 9–27 (1999)CrossRef

10.

Burgess, T.F.: Making the leap to agility: defining and achieving agile manufacturing through business process redesign and business network redesign. Int. J. Oper. Prod. Manage. 14(11), 23–34 (1994)CrossRef

11.

Chand, M., Raj, T., Shankar, R.: Weighted-ISM technique for analyzing the competitiveness of uncertainty and risk measures in the supply chain. Int. J. Logist. Syst. Manage. 21(2), 181–198 (2015)CrossRef

12.

Chand, M., Raj, T., Shankar, R.: Analysing the operational risks in the supply chain by using weighted interpretive structure modelling technique. Int. J. Serv. Oper. Manage. 18(4), 378–403 (2014)

13.

Cho, H., Jung, M., Kim, M.: Enabling technologies of agile manufacturing and its related activities in Korea. Comput. Ind. Eng. 30(3), 323–334 (1996)CrossRef

14.

Cleveland, J.N., Murphy, K.R., Williams, R.E.: Multiple uses of performance appraisal: prevalence and correlates. J. Appl. Psychol. 74(1), 130–135 (1989)CrossRef

15.

Crute, V., Ward, Y., Brown, S., Graves, A.: Implementing Lean in aerospace—challenging the assumptions and understanding the challenges. Technovation 23(12), 917–928 (2003)CrossRef

16.

Devor, R., Graves, R., Mills, J.J.: Agile manufacturing research: accomplishments and opportunities. IIE Trans. 29(10), 813–823 (1997)

17.

Dhandapani, V., Potter, A., Naim, M.: Applying lean thinking: a case study of an Indian steel plant. Int. J. Logist. Res. Appl. 7(3), 239–250 (2004)CrossRef

18.

Dutta, G., Kumar, R., Sindhwani, R., Singh, R.K.: Digital transformation priorities of India’s discrete manufacturing SMEs—a conceptual study in perspective of Industry 4.0. Compet. Rev. Int. Bus. J. (2020)

19.

Elkins, D.A., Huang, N., Alden, J.M.: Agile manufacturing systems in the automotive industry. Int. J. Prod. Econ. 91(3), 201–214 (2004)CrossRef

20.

Elmoselhy, S.A.: Hybrid lean–agile manufacturing system technical facet, in the automotive sector. J. Manuf. Syst. 32(4), 598–619 (2013)CrossRef

21.

Fahmi, S.M., Hollingworth, D.G.: Revisiting the roots of JIT and LEAN manufacturing. J. Supply Chain Oper. Manage. 10(2), 29 (2012)

22.

Fullerton, R.R., Kennedy, F.A., Widener, S.K.: Management accounting and control practices in a lean manufacturing environment. Acc. Organ. Soc. 38(1), 50–71 (2013)CrossRef

23.

Goldman, S.L., Nagel, R.N.: Management, technology and agility: the emergence of a new era in manufacturing. Int. J. Technol. Manage. 8(1–2), 18–38 (1993)

24.

Gould, P.: What is agility? Manuf. Eng. 76(1), 28–31 (1997)

25.

Gopalakrishnan, K., Yusuf, Y.Y., Musa, A., Abubakar, T., Ambursa, H.M.: Sustainable supply chain management: a case study of British Aerospace (BAe) Systems. Int. J. Prod. Econ. 140(1), 193–203 (2012)CrossRef

26.

Gunasekaran, A., Yusuf, Y.Y.: Agile manufacturing: a taxonomy of strategic and technological imperatives. Int. J. Prod. Res. 40(6), 1357–1385 (2002)CrossRef

27.

Gunasekaran, A., Tirtiroglu, E., Wolstencroft, V.: An investigation into the application of agile manufacturing in an aerospace company. Technovation 22(7), 405–415 (2002)CrossRef

28.

Gunasekaran, A.: Agile manufacturing: enablers and an implementation framework. Int. J. Prod. Res. 36(5), 1223–1247 (1998)MATHCrossRef

29.

Gunasekaran, A., Lai, K.H., Cheng, T.E.: Responsive supply chain: a competitive strategy in a networked economy. Omega 36(4), 549–564 (2008)CrossRef

30.

Gunasekaran, A.: Agile manufacturing: a framework for research and development. Int. J. Prod. Econ. 62(1), 87–105 (1999)CrossRef

31.

Helo, P.: Managing agility and productivity in the electronics industry. Ind. Manage. Data Syst. 104(7), 567–577 (2004)CrossRef

32.

Kano, M., Nakagawa, Y.: Data-based process monitoring, process control, and quality improvement: recent developments and applications in the steel industry. Comput. Chem. Eng. 32(1), 12–24 (2008)CrossRef

33.

Karim, A., Arif-Uz-Zaman, K.: A methodology for effective implementation of lean strategies and its performance evaluation in manufacturing organizations. Bus. Process Manage. J. 19(1), 169–196 (2013)CrossRef

34.

Kidd, P.T.: Agile Manufacturing: Forging New Frontier. Addison-Wesley Longman Publishing Co., Inc. (1995)

35.

Kumar, K., Dhillon, V.S., Singh, P.L., Sindhwani, R.: Modeling and Analysis for Barriers in Healthcare Services by ISM and MICMAC Analysis. In: Advances in Interdisciplinary Engineering, pp. 501–510 (2019)

36.

Leite, M., Braz, V.: Agile manufacturing practices for new product development: industrial case studies. J. Manuf. Technol. Manage. 27(4), 560–576 (2016)CrossRef

37.

Mahapatra, S.S., Mohanty, S.R.: Lean manufacturing in continuous process industry: an empirical study. J. Sci. Ind. Res. 66(1), 19–27 (2007)

38.

Mason-Jones, R., Naylor, B., Towill, D.R.: Engineering the agile supply chain. Int. J. Agile Manage. Syst. 2(1), 54–61 (2000)CrossRef

39.

McCarthy, I.: Manufacturing classification: lessons from organizational systematics and biological taxonomy. Integr. Manuf. Syst. 6(6), 37–48 (1995)CrossRef

40.

Meade, L.M., Sarkis, J.: Analyzing organizational project alternatives for agile manufacturing processes: an analytical network approach. Int. J. Prod. Res. 37(2), 241–261 (1999)MATHCrossRef

41.

Mittal, V.K., Sindhwani, R., Kapur, P.K.: Two-way assessment of barriers to lean-green manufacturing system: insights from India. Int. J. Syst. Assur. Eng. Manage. 7(4), 400–407 (2016)CrossRef

42.

Mittal V.K., Sindhwani R., Kalasariya V., Salroo F., Sangwan K.S., Singh P.L.: Adoption of integrated lean-green-agile strategies for modern manufacturing systems. Procedia CIRP 61(1), 463–468 (2017)

43.

Mittal, V.K., Sindhwani, R., Shekhar, H., Singh, P.L.: Fuzzy AHP model for challenges to thermal power plant establishment in India. Int. J. Oper. Res. 34(4), 562–581 (2019)CrossRef

44.

Mittal, V.K., Sindhwani, R., Singh, P.L., Kalsariya, V., Salroo, F.: Evaluating significance of green manufacturing enablers using MOORA method for indian manufacturing sector. In: Singh, S., Raj, P., Tambe, S. (Eds.) Proceedings of the International Conference on Modern Research in Aerospace Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. pp. 303–314 (2018)

45.

Naylor, J.B., Naim, M.M., Berry, D.: Leagility: integrating the lean and agile manufacturing paradigms in the total supply chain. Int. J. Prod. Econ. 62(1–2), 107–118 (1999)CrossRef

46.

Nordin, N., Deros, B.M., Wahab, D.A.: A survey on lean manufacturing implementation in Malaysian automotive industry. Int. J. Innov. Manage. Technol. 1(4), 374 (2010)

47.

Phanden, R.K., Sindhwani, R., Kalsariya, V., Salroo, F.: Selection of material for electric arc spraying by using hierarchical Entropy- TOPSIS approach. Int. J. Prod. Qual. Manage. 26(3), 276–289 (2019)

48.

Potdar, P.K., Routroy, S.: Performance analysis of agile manufacturing: a case study on Indian auto component manufacturer. Measur. Bus. Excellence 21(2) (2017)

49.

Power, D.: Supply chain management integration and implementation: a literature review. Suppl. Chain Manage. Int. J. 10(4), 252–263 (2005)CrossRef

50.

Phanden, R.K., Jain, A.: Assessing the impact of changing available multiple process plans of a job type on mean tardiness in job shop scheduling. Int. J. Adv. Manuf. Technol. 80(9–12), 1521–1545 (2015)

51.

Phanden, R.K.: Multi agents approach for job shop scheduling problem using genetic algorithm and variable neighborhood search method. In: Proceedings of the 20th world multi-conference on systemics, cybernetics, and informatics (2016)

52.

Phanden, R.K., Demir, H.I., Gupta, R.D.: Application of genetic algorithm and variable neighborhood search to solve the facility layout planning problem in job shop production system. In: 2018 7th International Conference on Industrial Technology and Management (ICITM). IEEE (2018a)

53.

Phanden, R.K., Saharan, L.K., Erkoyuncu, J.A.: Simulation based cuckoo search optimization algorithm for flexible job shop scheduling problem. In: Proceedings of the International Conference on Intelligent Science and Technology (2018b)

54.

Phanden, R.K. Ferreira, J.C.E.: Biogeographical and variable neighborhood search algorithm for optimization of flexible job shop scheduling. In: Advances in Industrial and Production Engineering. Springer, Singapore, pp. 489–503 (2019a)

55.

Phanden, R.K., Palková, Z., Sindhwani, R.: A framework for flexible job shop scheduling problem using simulation-based cuckoo search optimization. In: Advances in Industrial and Production Engineering. Springer, Singapore, pp. 247–262 (2019b)

56.

Sanchez, L.M., Nagi, R.: A review of agile manufacturing systems. Int. J. Prod. Res. 39(16), 3561–3600 (2001)MATHCrossRef

57.

Shah, R., Ward, P.T.: Lean manufacturing: context, practice bundles, and performance. J. Oper. Manage. 21(2), 129–149 (2003)CrossRef

58.

Sharifi, H., Zhang, Z.: Agile manufacturing in practice-application of a methodology. Int. J. Oper. Prod. Manage. 21(5/6), 772–794 (2001)CrossRef

59.

Sindhwani, R., Malhotra, V.: Overview and drivers of agile manufacturing system: a review. Int. J. Market. Technol. 3(12), 144–154 (2013)

60.

Sindhwani, R., Malhotra, V.: Lean and agile manufacturing system barriers. Int. J. Adv. Res. Innov. 3(1), 110–112 (2015)

61.

Sindhwani, R., Malhotra, V.: Barriers evaluation for agile manufacturing system with fuzzy performance importance index approach. Int. J. Agile Syst. Manage. 9(5), 292–301 (2016a)CrossRef

62.

Sindhwani, R., Malhotra, V.: Modelling the attributes affecting design and implementation of agile manufacturing system. Int. J. Process Manage. Benchmarking 6(2), 216–234 (2016b)CrossRef

63.

Sindhwani, R., Mittal, V.K., Singh, P.L., Kalsariya, V., Tewari, A.: A hybrid approach for selection of most sustainable cooking fuel (MSCF) in Indian context. Int. J. Knowl. Manage. Tourism Hosp. 1(2), 226–240 (2017)CrossRef

64.

Sindhwani, R., Malhotra, V.: A framework to enhance agile manufacturing system: a total interpretive structural modelling (TISM) approach. Benchmarking: Int. J. 24(2), 467–487 (2017a)

65.

Sindhwani, R., Malhotra, V.: Modelling and analysis of agile manufacturing system by ISM and MICMAC analysis. Int. J. Syst. Assur. Eng. Manage. 8(2), 253–263 (2017)CrossRef

66.

Sindhwani, R., Malhotra, V.: An integrated approach for implementation of agile manufacturing system in an indian manufacturing industry. Benchmarking: Int. J. 25(4), 1106–1120 (2018)

67.

Sindhwani, R., Mittal, V.K., Singh, P.L., Kalsariya, V., Salroo, F.: Modelling and analysis of energy efficiency drivers by Fuzzy ISM and Fuzzy MICMAC approach. Int. J. Prod. Qual. Manage. 25(2), 225–244 (2018)

68.

Sindhwani, R., Mittal, V.K., Singh, P.L., Aggarwal, A., Gautam, A.: Modelling and analysis of barriers affecting the implementation of lean green agile manufacturing system (LGAMS). Benchmarking: Int. J. 26(2), 498–529 (2019a)

69.

Sindhwani, R., Singh, P.L., Chopra, R., Sharma, K., Basu, A., Prajapati, D.K., Malhotra, V.: Agility evaluation in the rolling industry: a case study. in advances in industrial and production engineering. In: Lecture Notes in Mechanical Engineering, pp. 753–770 (2019b)

70.

Sindhwani, R., Singh, P.L., Prajapati, D.K., Iqbal, A., Phanden, R.K., Malhotra, V.: Agile system in health care: literature review. In: Advances in Industrial and Production Engineering, Lecture Notes in Mechanical Engineering, pp. 643–652 (2019c)

71.

Sindhwani, R., Singh, P.L., Iqbal, A., Prajapati, D.K., Mittal, V.K.: Modeling and analysis of factors influencing agility in healthcare organizations: an ISM approach. In: Advances in Industrial and Production Engineering, Lecture Notes in Mechanical Engineering, pp. 683–696 (2019d)

72.

Sindhwani, R., Singh, P.L., Kaushik, V., Sharma, S., Phanden, R.K.: Analysis of barriers to lean–green manufacturing system (LGMS): a multi-criteria decision-making approach. In: Advances in Intelligent Manufacturing, pp. 181–188. Springer, Singapore (2020a)

73.

Sindhwani, R., Singh, P.L., Kaushik, V., Sharma, S., Phanden, R.K., Prajapati, D.K.: Ranking of factors for integrated lean, green and agile manufacturing for indian manufacturing SMEs. In: Advances in Intelligent Manufacturing (pp. 203–219). Springer, Singapore (2020b)

74.

Singh, B., Garg, S.K., Sharma, S.K., Grewal, C.: Lean implementation and its benefits to production industry. Int. J. Lean Six Sigma 1(2), 157–168 (2010)CrossRef

75.

Singh, P.L., Sindhwani, R., Dua, N.K., Jamwal, A., Aggarwal, A., Iqbal, A., Gautam, N.: Evaluation of common barriers to the combined lean-green-agile manufacturing system by two-way assessment method. In: Advances in Industrial and Production Engineering, Lecture Notes in Mechanical Engineering, pp. 653–672 (2019)

76.

Thanki, S.J., Thakkar, J.: Status of lean manufacturing practices in Indian industries and government initiatives: a pilot study. J. Manuf. Technol. Manage. 25(5), 655–675 (2014)CrossRef

77.

Vazquez-Bustelo, D., Avella, L., Fernández, E.: Agility drivers, enablers and outcomes: an empirical test of an integrated agile manufacturing model. Int. J. Oper. Prod. Manage. 27(12), 1303–1332 (2007)CrossRef

78.

Vinodh, S., Devadasan, S.R., Vimal, K.E.K., Kumar, D.: Design of agile supply chain assessment model and its case study in an Indian automotive components manufacturing organization. J. Manuf. Syst. 32(4), 620–631 (2013)CrossRef

79.

Womack, J.P., Jones, D.T.: Lean thinking: banish waste and create wealth in your corporation. Simon and Schuster (2010)

80.

Yusuf, Y.Y., Sarhadi, M., Gunasekaran, A.: Agile manufacturing: the drivers, concepts, and attributes. Int. J. Prod. Econ. 62(1), 33–43 (1999)CrossRef

Titel: Identification of Factors for Lean and Agile Manufacturing Systems in Rolling Industry
verfasst von: Rahul Sindhwani
Rahul Dev Gupta
Punj Lata Singh
Vipin Kaushik
Sumit Sharma
Rakesh Kumar Phanden
Rajender Kumar
Verlag: Springer Singapore
Buch: Advances in Industrial and Production Engineering
Print ISBN: 978-981-334-319-1

Electronic ISBN: 978-981-334-320-7

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-33-4320-7_33

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