Internal mechanisms framework of lean implementation using the visual management systems
DOI:
https://doi.org/10.15282/ijim.9.0.2021.5949Keywords:
Lean management, Visual management, Theoretical framework, Control theory, Design science researchAbstract
This paper proposes a theoretical framework of the internal mechanisms of a visual management system, which is one of the main schemes of lean management. The research method designs with Design Science Research which complements theory and practice. For theoretical side, the relevant tools are described using the graphical block diagram from control theory. For practical side, the implementation of the initial trial in this paper is also aimed at systematic design through the perspective of the proposed framework by collaborating with a chemical plant in proceeding with safety and effective operations. As the results, the control theory, which is one of the robust theories that strengthens the academic approach on visual management, is also used to develop the proposed framework. In the originality, this paper focuses on the internal mechanisms of the visual management system and implicates a representation of general system specifications and the possibility of diverse system development in an effort to better understand and improve such a system.
References
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Beynon-Davies, P., & Lederman, R. (2017). Making sense of visual management through affordance theory. Production Planning & Control, 28(2), 142-157.
Brady, D. A., Tzortzopoulos, P., Rooke, J., Formoso, C. T., & Tezel, A. (2018). Improving transparency in construction management: a visual planning and control model. Engineering, Construction and Architectural Management, 10(15), 1277-1297.
Cahyadi, A., Ruslan, W., & Sukwadi, R. (2020). Quality Shop Floor Management Based on Abnormality Management. International Journal of Applied Engineering Research, 15(6), 550-556.
Carbonara, N., & Pellegrino, R. (2017). How do supply chain risk management flexibility-driven strategies perform in mitigating supply disruption risks?. International Journal of Integrated Supply Management, 11(4), 354-379.
Carver, C. S., & Scheier, M. F. (1982). Control theory: A useful conceptual framework for personality–social, clinical, and health psychology. Psychological bulletin, 92(1), 111-135.
Chen, C. W. (2020). Internet of Video Things: Next-Generation IoT With Visual Sensors. IEEE Internet of Things Journal, 7(8), 6676-6685.
De Jong, T., & Ferguson-Hessler, M. G. (1996). Types and qualities of knowledge. Educational psychologist, 31(2), 105-113.
Del Vecchio, D., Dy, A. J., & Qian, Y. (2016). Control theory meets synthetic biology. Journal of The Royal Society Interface, 13(120), https://doi.org/10.1098/rsif.2016.0380.
Dolgui, A., Ivanov, D., & Sokolov, B. (2018). Ripple effect in the supply chain: an analysis and recent literature. International Journal of Production Research, 56(1-2), 414-430.
Dumitrascu, O., Dumitrascu, M., & Dobrotǎ, D. (2020). Performance Evaluation for a Sustainable Supply Chain Management System in the Automotive Industry Using Artificial Intelligence. Processes, 8(11), 1384, doi:10.3390/pr8111384.
Eaidgah, Y., Maki, A. A., Kurczewski, K., & Abdekhodaee, A. (2016). Visual management, performance management and continuous improvement. International Journal of Lean Six Sigma, 7(2), 187-210.
Edghill, J., & Towill, D. (1989). The use of system dynamics in manufacturing systems engineering. Transactions of the Institute of Measurement and Control, 11(4), 208-216.
Fitrianie, S., & Rothkrantz, L. J. (2007). A visual communication language for crisis management. Int. Journal of Intelligent Control and Systems (Special Issue of Distributed Intelligent Systems), 12(2), 208-216.
Fonseca, L. M. (2017). In search of six sigma in portuguese SMEs. International Journal of Industrial Engineering and Management, 8(2017), 31-38.
Flumerfelt, S., Calvo-Amodio, J., & Porter, J. D. (2017). Tapping the potential of sensemaking for performance management. Measuring Business Excellence, 21(3), 214-224.
Galsworth, G. D. (1997). Visual systems: harnessing the power of the visual workplace (p. 320). New York: American Management Association.
Greif, M. (1991). The visual factory: building participation through shared information. CRC Press.
Hohenstein, N. O., Feisel, E., Hartmann, E., & Giunipero, L. (2015). Research on the phenomenon of supply chain resilience. International Journal of Physical Distribution & Logistics Management, 45(1/2), 90-117.
Holmström, J., Ketokivi, M., & Hameri, A. P. (2009). Bridging practice and theory: A design science approach. Decision Sciences, 40(1), 65-87.
Hozak, K., & Olsen, E. O. (2015). Lean psychology and the theories of “Thinking, Fast and Slow”. International Journal of Lean Six Sigma, 6(3), 206-225.
Iqbal, S., Qureshi, S. A., Rizvi, T. H., Abbas, G., & Gulzar, M. M. (2010). Concept building through block diagram using matlab/simulink. IEEEP Journal, 66, 67, 30-34.
Isack, H. D., Mutingi, M., Kandjeke, H., Vashishth, A., & Chakraborty, A. (2018). Exploring the adoption of Lean principles in medical laboratory industry. International journal of lean six sigma, 9(1), 133-155.
Istanbulluoglu, D. (2017). Complaint handling on social media: The impact of multiple response times on consumer satisfaction. Computers in Human Behavior, 74, 72-82.
Ivanov, D., Dolgui, A., & Sokolov, B. (2012). Applicability of optimal control theory to adaptive supply chain planning and scheduling. Annual Reviews in control, 36(1), 73-84.
Jadhav, J. R., Mantha, S. S., & Rane, S. B. (2014). Exploring barriers in lean implementation. International Journal of Lean Six Sigma, 5(2), 122-148.
Koren, Y. (2010). The global manufacturing revolution: product-process-business integration and reconfigurable systems (Vol. 80). John Wiley & Sons.
Liker, J. (2004). The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer, McGraw-Hill Education.
Laoha, C., & Sukto, S. (2016). Opportunities for improvement in five groups of SMEs by a new lean assessment tool. Engineering and Applied Science Research, 43, 342-345.
Mestre, M., Stainer, A., Stainer, L., & Strom, B. (2000). Visual communications–the Japanese experience. Corporate Communications: An International Journal, 5(1), 34-41.
Murata, K., & Katayama, H. (2008). Study on taxonomy of visual management technology for Effective Technology Transfer. Journal of the Society of Plant Engineer Japan, 19(4), 8-13 (in Japanese).
Murata, K., & Katayama, H. (2010a). Development of Kaizen case-base for effective technology transfer–a case of visual management technology. International Journal of Production Research, 48(16), 4901-4917.
Murata, K., & Katayama, H. (2010b). A study on construction of a kaizen case-base and its utilisation: a case of visual management in fabrication and assembly shop-floors. International Journal of Production Research, 48(24), 7265-7287.
Murata, K., & Katayama, H. (2013). A study of the performance evaluation of the visual management case-base: development of an integrated model by quantification theory category III and AHP. International Journal of Production Research, 51(2), 380-394.
Murata, K., & Katayama, H. (2016). Performance evaluation of a visual management system for effective case transfer. International Journal of Production Research, 54(10), 2907-2921.
Ohno, T. (1988). Toyota production system: beyond large-scale production. CRC Press.
Oliva, S., & Lazzeretti, L. (2018). Measuring the economic resilience of natural disasters: An analysis of major earthquakes in Japan. City, culture and society, 15, 53-59.
Ortega, M., & Lin, L. (2004). Control theory applications to the production–inventory problem: a review. International Journal of Production Research, 42(11), 2303-2322.
Paro, P. E. P., & Gerolamo, M. C. (2017). Organizational culture for lean programs. Journal of Organizational Change Management, 30(4), 584-598.
Parry, G. C., & Turner, C. E. (2006). Application of lean visual process management tools. Production planning & control, 17(1), 77-86.
Pató, B. S. G. (2017). Formal options for job descriptions: theory meets practice. Journal of Management Development, 36(8), 1008-1028.
Rees, G., Russell, C., Frith, C. D., & Driver, J. (1999). Inattentional blindness versus inattentional amnesia for fixated but ignored words. Science, 286(5449), 2504-2507.
Sacks, R., Koskela, L., Dave, B. A., & Owen, R. (2010). Interaction of lean and building information modeling in construction. Journal of construction engineering and management, 136(9), 968-980.
Scupin, R. (1997). The KJ method: A technique for analyzing data derived from Japanese ethnology. Human organization, 56(2), 233-237.
Simon, H. A. (1952). On the application of servomechanism theory in the study of production control. Econometrica: Journal of the Econometric Society, 247-268.
Simons, D. J., & Levin, D. T. (1998). Failure to detect changes to people during a real-world interaction. Psychonomic Bulletin & Review, 5(4), 644-649.
Simons, D. J., & Chabris, C. F. (1999). Gorillas in our midst: Sustained inattentional blindness for dynamic events. perception, 28(9), 1059-1074.
Singh, S., & Kumar, K. (2020). A study of lean construction and visual management tools through cluster analysis. Ain Shams Engineering Journal, https://doi.org/10.1016/j.asej.2020.04.019.
Sisson, J., & Elshennawy, A. (2015). Achieving success with Lean: An analysis of key factors in Lean transformation at Toyota and beyond. International Journal of Lean six sigma, 6(3), 263-280.
Spear, S., & Bowen, H. K. (1999). Decoding the DNA of the Toyota production system. Harvard business review, 77, 96-108.
Steenkamp, L. P., Hagedorn-Hansen, D., & Oosthuizen, G. A. (2017). Visual management system to manage manufacturing resources. Procedia Manufacturing, 8, 455-462.
Stefik, M., & Stefik, B. (2004). Breakthrough: stories and strategies of radical innovation. MIT press.
Spiegler, V. L., & Naim, M. M. (2017). Investigating sustained oscillations in nonlinear production and inventory control models. European Journal of Operational Research, 261(2), 572-583.
Subramanian, K., Rawlings, J. B., Maravelias, C. T., Flores-Cerrillo, J., & Megan, L. (2013). Integration of control theory and scheduling methods for supply chain management. Computers & Chemical Engineering, 51, 4-20.
Sugawara, S., Suzuki, G., Nagashima, Y., Matsuura, M., Tanigawa, H., & Moriuchi, M. (1994). InterSpace: Networked virtual world for visual communication. IEICE transactions on information and systems, 77(12), 1344-1349.
Tervo, K., Palmroth, L., & Koivo, H. (2009). Skill evaluation of human operators in partly automated mobile working machines. IEEE Transactions on automation science and engineering, 7(1), 133-142.
Tezel, A., Koskela, L., & Tzortzopoulos, P. (2016). Visual management in production management: a literature synthesis. Journal of manufacturing technology management, 27(6), 766-799.
Tezel, A., & Aziz, Z. (2017a). Visual management in highways construction and maintenance in England. Engineering, Construction and Architectural Management, 24(3), 486-513.
Tezel, B. A., & Aziz, Z. (2017b). From conventional to IT based visual management: a conceptual discussion for lean construction. Journal of information technology in construction, 22, 220-246.
Tezel, A., Koskela, L., & Aziz, Z. (2018). Lean thinking in the highways construction sector: motivation, implementation and barriers. Production Planning & Control, 29(3), 247-269.
Tjell, J., & Bosch-Sijtsema, P. M. (2015). Visual management in mid-sized construction design projects. Procedia Economics and Finance, 21, 193-200.
Valente, C., Brandalise, F., Pivatto, M., & Formoso, C. (2017). Guidelines for Devising and Assessing Visual Management Systems in Construction Sites. In LC3 2017 Volume II–Proceedings of the 25th Annual Conference of the International Group for Lean Construction (IGLC) (pp. 703-710). Heraklion, Greece.
Verbano, C., Crema, M., & Nicosia, F. (2017). Visual management system to improve care planning and controlling: the case of intensive care unit. Production Planning & Control, 28(15), 1212-1222.
Verner, L., Oleynikov, D., Holtmann, S., Haider, H., & Zhukov, L. (2003). Measurements of the level of surgical expertise using flight path analysis from da Vinci robotic surgical system, Stud Health Technol Inform, 94, 373-378.
Vinod, M., Devadasan, S. R., Sunil, D. T., Thilak, V. M. M., & Murugesh, R. (2017). POYSS: a model for integrating Poka-Yoke technique with Six Sigma concept. International Journal of Productivity and Quality Management, 22(2), 223-242.
Wang, Z., Liao, M., Hagihara, R., & Maekawa, Z. (2015). Comparison between Expert and Beginner on Calligraphy Letter's Characteristic. Procedia Manufacturing, 3, 495-502.
Wu, Z., Liu, G. P., & Chen, D. (2020). Advertising strategies and coordination for supply chain based on consignment platform with delayed effect. Systems Science & Control Engineering, 8(1), 162-174.
Womack, J. P., & Jones, T. D. (2003). Lean Thinking: Banish Waste and Create Wealth in your Corporation, Free Press, New York, NY.
Zia, A., Sharma, Y., Bettadapura, V., Sarin, E. L., & Essa, I. (2018). Video and accelerometer-based motion analysis for automated surgical skills assessment. International journal of computer assisted radiology and surgery, 13(3), 443-455.
Zhou, B. (2016). Lean principles, practices, and impacts: a study on small and medium-sized enterprises (SMEs). Annals of Operations Research, 241(1-2), 457-474.
Zsidisin, G. A., Melnyk, S. A., & Ragatz, G. L. (2005). An institutional theory perspective of business continuity planning for purchasing and supply management. International journal of production research, 43(16), 3401-3420.
Barenji, R. V., Barenji, A. V., & Hashemipour, M. (2014). A multi-agent RFID-enabled distributed control system for a flexible manufacturing shop. The International Journal of Advanced Manufacturing Technology, 71(9-12), 1773-1791.
Bell, E., & Davison, J. (2013). Visual management studies: Empirical and theoretical approaches. International Journal of Management Reviews, 15(2), 167-184.
Beynon-Davies, P., & Lederman, R. (2017). Making sense of visual management through affordance theory. Production Planning & Control, 28(2), 142-157.
Brady, D. A., Tzortzopoulos, P., Rooke, J., Formoso, C. T., & Tezel, A. (2018). Improving transparency in construction management: a visual planning and control model. Engineering, Construction and Architectural Management, 10(15), 1277-1297.
Cahyadi, A., Ruslan, W., & Sukwadi, R. (2020). Quality Shop Floor Management Based on Abnormality Management. International Journal of Applied Engineering Research, 15(6), 550-556.
Carbonara, N., & Pellegrino, R. (2017). How do supply chain risk management flexibility-driven strategies perform in mitigating supply disruption risks?. International Journal of Integrated Supply Management, 11(4), 354-379.
Carver, C. S., & Scheier, M. F. (1982). Control theory: A useful conceptual framework for personality–social, clinical, and health psychology. Psychological bulletin, 92(1), 111-135.
Chen, C. W. (2020). Internet of Video Things: Next-Generation IoT With Visual Sensors. IEEE Internet of Things Journal, 7(8), 6676-6685.
De Jong, T., & Ferguson-Hessler, M. G. (1996). Types and qualities of knowledge. Educational psychologist, 31(2), 105-113.
Del Vecchio, D., Dy, A. J., & Qian, Y. (2016). Control theory meets synthetic biology. Journal of The Royal Society Interface, 13(120), https://doi.org/10.1098/rsif.2016.0380.
Dolgui, A., Ivanov, D., & Sokolov, B. (2018). Ripple effect in the supply chain: an analysis and recent literature. International Journal of Production Research, 56(1-2), 414-430.
Dumitrascu, O., Dumitrascu, M., & Dobrotǎ, D. (2020). Performance Evaluation for a Sustainable Supply Chain Management System in the Automotive Industry Using Artificial Intelligence. Processes, 8(11), 1384, doi:10.3390/pr8111384.
Eaidgah, Y., Maki, A. A., Kurczewski, K., & Abdekhodaee, A. (2016). Visual management, performance management and continuous improvement. International Journal of Lean Six Sigma, 7(2), 187-210.
Edghill, J., & Towill, D. (1989). The use of system dynamics in manufacturing systems engineering. Transactions of the Institute of Measurement and Control, 11(4), 208-216.
Fitrianie, S., & Rothkrantz, L. J. (2007). A visual communication language for crisis management. Int. Journal of Intelligent Control and Systems (Special Issue of Distributed Intelligent Systems), 12(2), 208-216.
Fonseca, L. M. (2017). In search of six sigma in portuguese SMEs. International Journal of Industrial Engineering and Management, 8(2017), 31-38.
Flumerfelt, S., Calvo-Amodio, J., & Porter, J. D. (2017). Tapping the potential of sensemaking for performance management. Measuring Business Excellence, 21(3), 214-224.
Galsworth, G. D. (1997). Visual systems: harnessing the power of the visual workplace (p. 320). New York: American Management Association.
Greif, M. (1991). The visual factory: building participation through shared information. CRC Press.
Hohenstein, N. O., Feisel, E., Hartmann, E., & Giunipero, L. (2015). Research on the phenomenon of supply chain resilience. International Journal of Physical Distribution & Logistics Management, 45(1/2), 90-117.
Holmström, J., Ketokivi, M., & Hameri, A. P. (2009). Bridging practice and theory: A design science approach. Decision Sciences, 40(1), 65-87.
Hozak, K., & Olsen, E. O. (2015). Lean psychology and the theories of “Thinking, Fast and Slow”. International Journal of Lean Six Sigma, 6(3), 206-225.
Iqbal, S., Qureshi, S. A., Rizvi, T. H., Abbas, G., & Gulzar, M. M. (2010). Concept building through block diagram using matlab/simulink. IEEEP Journal, 66, 67, 30-34.
Isack, H. D., Mutingi, M., Kandjeke, H., Vashishth, A., & Chakraborty, A. (2018). Exploring the adoption of Lean principles in medical laboratory industry. International journal of lean six sigma, 9(1), 133-155.
Istanbulluoglu, D. (2017). Complaint handling on social media: The impact of multiple response times on consumer satisfaction. Computers in Human Behavior, 74, 72-82.
Ivanov, D., Dolgui, A., & Sokolov, B. (2012). Applicability of optimal control theory to adaptive supply chain planning and scheduling. Annual Reviews in control, 36(1), 73-84.
Jadhav, J. R., Mantha, S. S., & Rane, S. B. (2014). Exploring barriers in lean implementation. International Journal of Lean Six Sigma, 5(2), 122-148.
Koren, Y. (2010). The global manufacturing revolution: product-process-business integration and reconfigurable systems (Vol. 80). John Wiley & Sons.
Liker, J. (2004). The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer, McGraw-Hill Education.
Laoha, C., & Sukto, S. (2016). Opportunities for improvement in five groups of SMEs by a new lean assessment tool. Engineering and Applied Science Research, 43, 342-345.
Mestre, M., Stainer, A., Stainer, L., & Strom, B. (2000). Visual communications–the Japanese experience. Corporate Communications: An International Journal, 5(1), 34-41.
Murata, K., & Katayama, H. (2008). Study on taxonomy of visual management technology for Effective Technology Transfer. Journal of the Society of Plant Engineer Japan, 19(4), 8-13 (in Japanese).
Murata, K., & Katayama, H. (2010a). Development of Kaizen case-base for effective technology transfer–a case of visual management technology. International Journal of Production Research, 48(16), 4901-4917.
Murata, K., & Katayama, H. (2010b). A study on construction of a kaizen case-base and its utilisation: a case of visual management in fabrication and assembly shop-floors. International Journal of Production Research, 48(24), 7265-7287.
Murata, K., & Katayama, H. (2013). A study of the performance evaluation of the visual management case-base: development of an integrated model by quantification theory category III and AHP. International Journal of Production Research, 51(2), 380-394.
Murata, K., & Katayama, H. (2016). Performance evaluation of a visual management system for effective case transfer. International Journal of Production Research, 54(10), 2907-2921.
Ohno, T. (1988). Toyota production system: beyond large-scale production. CRC Press.
Oliva, S., & Lazzeretti, L. (2018). Measuring the economic resilience of natural disasters: An analysis of major earthquakes in Japan. City, culture and society, 15, 53-59.
Ortega, M., & Lin, L. (2004). Control theory applications to the production–inventory problem: a review. International Journal of Production Research, 42(11), 2303-2322.
Paro, P. E. P., & Gerolamo, M. C. (2017). Organizational culture for lean programs. Journal of Organizational Change Management, 30(4), 584-598.
Parry, G. C., & Turner, C. E. (2006). Application of lean visual process management tools. Production planning & control, 17(1), 77-86.
Pató, B. S. G. (2017). Formal options for job descriptions: theory meets practice. Journal of Management Development, 36(8), 1008-1028.
Rees, G., Russell, C., Frith, C. D., & Driver, J. (1999). Inattentional blindness versus inattentional amnesia for fixated but ignored words. Science, 286(5449), 2504-2507.
Sacks, R., Koskela, L., Dave, B. A., & Owen, R. (2010). Interaction of lean and building information modeling in construction. Journal of construction engineering and management, 136(9), 968-980.
Scupin, R. (1997). The KJ method: A technique for analyzing data derived from Japanese ethnology. Human organization, 56(2), 233-237.
Simon, H. A. (1952). On the application of servomechanism theory in the study of production control. Econometrica: Journal of the Econometric Society, 247-268.
Simons, D. J., & Levin, D. T. (1998). Failure to detect changes to people during a real-world interaction. Psychonomic Bulletin & Review, 5(4), 644-649.
Simons, D. J., & Chabris, C. F. (1999). Gorillas in our midst: Sustained inattentional blindness for dynamic events. perception, 28(9), 1059-1074.
Singh, S., & Kumar, K. (2020). A study of lean construction and visual management tools through cluster analysis. Ain Shams Engineering Journal, https://doi.org/10.1016/j.asej.2020.04.019.
Sisson, J., & Elshennawy, A. (2015). Achieving success with Lean: An analysis of key factors in Lean transformation at Toyota and beyond. International Journal of Lean six sigma, 6(3), 263-280.
Spear, S., & Bowen, H. K. (1999). Decoding the DNA of the Toyota production system. Harvard business review, 77, 96-108.
Steenkamp, L. P., Hagedorn-Hansen, D., & Oosthuizen, G. A. (2017). Visual management system to manage manufacturing resources. Procedia Manufacturing, 8, 455-462.
Stefik, M., & Stefik, B. (2004). Breakthrough: stories and strategies of radical innovation. MIT press.
Spiegler, V. L., & Naim, M. M. (2017). Investigating sustained oscillations in nonlinear production and inventory control models. European Journal of Operational Research, 261(2), 572-583.
Subramanian, K., Rawlings, J. B., Maravelias, C. T., Flores-Cerrillo, J., & Megan, L. (2013). Integration of control theory and scheduling methods for supply chain management. Computers & Chemical Engineering, 51, 4-20.
Sugawara, S., Suzuki, G., Nagashima, Y., Matsuura, M., Tanigawa, H., & Moriuchi, M. (1994). InterSpace: Networked virtual world for visual communication. IEICE transactions on information and systems, 77(12), 1344-1349.
Tervo, K., Palmroth, L., & Koivo, H. (2009). Skill evaluation of human operators in partly automated mobile working machines. IEEE Transactions on automation science and engineering, 7(1), 133-142.
Tezel, A., Koskela, L., & Tzortzopoulos, P. (2016). Visual management in production management: a literature synthesis. Journal of manufacturing technology management, 27(6), 766-799.
Tezel, A., & Aziz, Z. (2017a). Visual management in highways construction and maintenance in England. Engineering, Construction and Architectural Management, 24(3), 486-513.
Tezel, B. A., & Aziz, Z. (2017b). From conventional to IT based visual management: a conceptual discussion for lean construction. Journal of information technology in construction, 22, 220-246.
Tezel, A., Koskela, L., & Aziz, Z. (2018). Lean thinking in the highways construction sector: motivation, implementation and barriers. Production Planning & Control, 29(3), 247-269.
Tjell, J., & Bosch-Sijtsema, P. M. (2015). Visual management in mid-sized construction design projects. Procedia Economics and Finance, 21, 193-200.
Valente, C., Brandalise, F., Pivatto, M., & Formoso, C. (2017). Guidelines for Devising and Assessing Visual Management Systems in Construction Sites. In LC3 2017 Volume II–Proceedings of the 25th Annual Conference of the International Group for Lean Construction (IGLC) (pp. 703-710). Heraklion, Greece.
Verbano, C., Crema, M., & Nicosia, F. (2017). Visual management system to improve care planning and controlling: the case of intensive care unit. Production Planning & Control, 28(15), 1212-1222.
Verner, L., Oleynikov, D., Holtmann, S., Haider, H., & Zhukov, L. (2003). Measurements of the level of surgical expertise using flight path analysis from da Vinci robotic surgical system, Stud Health Technol Inform, 94, 373-378.
Vinod, M., Devadasan, S. R., Sunil, D. T., Thilak, V. M. M., & Murugesh, R. (2017). POYSS: a model for integrating Poka-Yoke technique with Six Sigma concept. International Journal of Productivity and Quality Management, 22(2), 223-242.
Wang, Z., Liao, M., Hagihara, R., & Maekawa, Z. (2015). Comparison between Expert and Beginner on Calligraphy Letter's Characteristic. Procedia Manufacturing, 3, 495-502.
Wu, Z., Liu, G. P., & Chen, D. (2020). Advertising strategies and coordination for supply chain based on consignment platform with delayed effect. Systems Science & Control Engineering, 8(1), 162-174.
Womack, J. P., & Jones, T. D. (2003). Lean Thinking: Banish Waste and Create Wealth in your Corporation, Free Press, New York, NY.
Zia, A., Sharma, Y., Bettadapura, V., Sarin, E. L., & Essa, I. (2018). Video and accelerometer-based motion analysis for automated surgical skills assessment. International journal of computer assisted radiology and surgery, 13(3), 443-455.
Zhou, B. (2016). Lean principles, practices, and impacts: a study on small and medium-sized enterprises (SMEs). Annals of Operations Research, 241(1-2), 457-474.
Zsidisin, G. A., Melnyk, S. A., & Ragatz, G. L. (2005). An institutional theory perspective of business continuity planning for purchasing and supply management. International journal of production research, 43(16), 3401-3420.
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Published
2021-01-03
How to Cite
Murata, K. (2021). Internal mechanisms framework of lean implementation using the visual management systems. International Journal of Industrial Management, 9, 1–14. https://doi.org/10.15282/ijim.9.0.2021.5949
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Vol 9 2021
