Document Type : Research Paper


1 Department of Operations and Production Management,University of Tehran,Tehran,Iran.

2 Department of Industrial Management, University of Tehran, Tehran, Iran.

3 Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran.


Today, a production enterprise cannot survive without using computer-based machines. Nevertheless, not all enterprises have enough money to invest in such manufacturing resources. On the other hand, handling the resource or providing appropriate platform is not easy at all. For companies, Cloud-based strategies give them a chance to bring their inherent knowledge and intelligence to every business case and cause a quick response by reducing the cost of investment. Manufacturers know that providing capacity, according to demand will increase the profit and help them to get new work contracts. In the recent century, intelligent manufacturing would be the one in which all information is available in the most useful way, right where and when that it is needed to hold an optimum operation or response such as cloud manufacturing. This paper aims to provide a framework for how using cloud services emerge at obtaining lean concepts in the manufacturing companies. The research has conducted through semi-structured interviews among professionals in Cloud-based environments and production systems. Key managers or employees from different levels have selected. Analyzing interview transcripts using a constructivist approach to grounded theory is supposed to result in a model for how to develop cloud service models according to the lean concepts, especially in manufacturing frameworks.


Main Subjects

[1]      Agarwal, A., Shankar, R., & Tiwari, M. K. (2006). Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach. European journal of operational research173(1), 211-225.
[2]      Alizon, F., Shooter, S. B., & Simpson, T. W. (2008, January). Henry ford and the model T: lessons for product platforming and mass customization. Proceeding of ASME 2008 international design engineering technical conferences and computers and information in engineering conference (pp. 59-66). Brooklyn, New York, USA: American Society of Mechanical Engineers.
[3]      Azadeh, A., Zarrin, M., Abdollahi, M., Noury, S., & Farahmand, S. (2015). Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis. Expert systems with applications42(15), 6050-6064.
[4]      Castro, H., Putnik, G., Cruz-Cunha, M. M., Ferreira, L., Shah, V., & Alves, C. (2013). Meta-organization and manufacturing Web 3.0 for ubiquitous virtual enterprise of manufacturing SMEs: a framework. Procedia CIRP12, 396-401.
[5]      Corbin, J. M. & Strauss, A. L. (2008). Basics of qualitative research: Techniques and procedures
for developing grounded theory
. Sage Publications, Los Angeles, CA.
[6]      Creswell, J. W. (2007). Qualitative inquiry and research design: Choosing Among five traditions. Sage Publications, Thousand Oaks, CA.
[7]      Dowlatshahi, S., & Cao, Q. (2006). The relationships among virtual enterprise, information technology, and business performance in agile manufacturing: An industry perspective. European journal of operational research174(2), 835-860.
[8]      Valilai, O. F., & Houshmand, M. (2013). A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm. Robotics and computer-integrated manufacturing29(1), 110-127.
[9]       Fatahi Valilai, O., & Houshmand, M. (2014). A platform for optimisation in distributed manufacturing enterprises based on cloud manufacturing paradigm. International journal of computer integrated manufacturing27(11), 1031-1054.
[10]  Ferreira, L., Putnik, G., Cunha, M., Putnik, Z., Castro, H., Alves, C., ... & Varela, M. L. R. (2013). Cloudlet architecture for dashboard in cloud and ubiquitous manufacturing. Procedia CIRP12, 366-371.
[11]  Gao, R., Wang, L., Teti, R., Dornfeld, D., Kumara, S., Mori, M., & Helu, M. (2015). Cloud-enabled prognosis for manufacturing. CIRP annals64(2), 749-772.
[12]  Helo, P., Suorsa, M., Hao, Y., & Anussornnitisarn, P. (2014). Toward a cloud-based manufacturing execution system for distributed manufacturing. Computers in industry65(4), 646-656.
[13]  Hu, C. S., Xu, C. D., Cao, X. B., & Fu, J. C. (2012). Study of classification and modeling of virtual resources in cloud manufacturing. Applied mechanics and materials, 121, 2274-2280.
[14]  Park, J. H., & Jeong, H. Y. (2014). Cloud computing-based jam management for a manufacturing system in a Green IT environment. The journal of supercomputing69(3), 1054-1067.
[15]  Kendrick, B. A., Dhokia, V., & Newman, S. T. (2017). Strategies to realize decentralized manufacture through hybrid manufacturing platforms. Robotics and computer-integrated manufacturing43, 68-78.
[16]  Korambath, P., Wang, J., Kumar, A., Hochstein, L., Schott, B., Graybill, R. B., ... & Davis, J. (2014, January). Deploying kepler workflows as services on a cloud infrastructure for smart manufacturing. Proceedings of 14th international conference on computational science ICCS (pp. 2254-2259).
[17]  Li, C., Wang, S., Kang, L., Guo, L., & Cao, Y. (2014). Trust evaluation model of cloud manufacturing service platform. The international journal of advanced manufacturing technology75(1-4), 489-501.
[18]  Lu, Y., Xu, X., & Xu, J. (2014). Development of a hybrid manufacturing cloud. Journal of manufacturing systems33(4), 551-566.
[19]  Lutz, M., Boucher, X., & Roustant, O. (2012). Information technologies capacity planning in manufacturing systems: Proposition for a modelling process and application in the semiconductor industry. Computers in industry63(7), 659-668.
[20]  Martínez-Jurado, P. J., Moyano-Fuentes, J., & Jerez-Gómez, P. (2014). Human resource management in lean production adoption and implementation processes: success factors in the aeronautics industry. BRQ business research quarterly17(1), 47-68.
[21]  Matt, D. T., & Rauch, E. (2013). Implementation of lean production in small sized enterprises. Procedia CIRP12, 420-425.
[22]  Matt, D. T., Rauch, E., & Dallasega, P. (2015). Trends towards distributed manufacturing systems and modern forms for their design. Procedia CIRP33, 185-190.
[23]  Mourtzis, D., Doukas, M., Lalas, C., & Papakostas, N. (2015). Cloud-based integrated shop-floor planning and control of manufacturing operations for mass customisation. Procedia CIRP33, 9-16.
[24]  Powell, D., Strandhagen, J. O., Tommelein, I., Ballard, G., & Rossi, M. (2014). A new set of principles for pursuing the lean ideal in engineer-to-order manufacturers. Procedia CIRP17, 571-576.
[25]  Putnik, G. D., Castro, H., Ferreira, L., Barbosa, R., Vieira, G., Alves, C., ... & Varela, L. (2012). Advanced manufacturing systems and enterprises–towards ubiquitous and cloud manufacturing. University of Minho, School of Engineering, LabVE.
[26]  Ren, L., Zhang, L., Wang, L., Tao, F., & Chai, X. (2017). Cloud manufacturing: key characteristics and applications. International journal of computer integrated manufacturing30(6), 501-515.
[27]  Song, T., Liu, H., Wei, C., & Zhang, C. (2014). Common engines of cloud manufacturing service platform for SMEs. The international journal of advanced manufacturing technology73(1-4), 557-569.
[28]  Sullivan, W. G., McDonald, T. N., & Van Aken, E. M. (2002). Equipment replacement decisions and lean manufacturing. Robotics and computer-integrated manufacturing18(3-4), 255-265.
[29]  Um, J., Choi, Y. C., & Stroud, I. (2014). Factory planning system considering energy-efficient process under cloud manufacturing. Procedia CIRP17, 553-558.
[30]  Verl, A., Lechler, A., Wesner, S., Kirstädter, A., Schlechtendahl, J., Schubert, L., & Meier, S. (2013). An approach for a cloud-based machine tool control. Procedia CIRP7, 682-687.
[31]  Villegas, D., Bobroff, N., Rodero, I., Delgado, J., Liu, Y., Devarakonda, A., ... & Parashar, M. (2012). Cloud federation in a layered service model. Journal of computer and system sciences78(5), 1330-1344.
[32]  Wang, X. V., & Xu, X. W. (2013). An interoperable solution for Cloud manufacturing. Robotics and computer-integrated manufacturing29(4), 232-247.
[33]  Wu, D.; Rosen, D.W.; Wang, L.; Schaefer, D. (2014). Cloud-Based Manufacturing: Old Wine in New Bottles?. Procedia CIRP 17: 94 – 99.
[34]  Wu, D., Rosen, D. W., Wang, L., & Schaefer, D. (2015). Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation. Computer-aided design59, 1-14.
[35]  Wu, D., Terpenny, J., & Gentzsch, W. (2015). Cloud-Based design, engineering analysis, and manufacturing: A cost-benefit analysis. Procedia manufacturing1, 64-76.
[36]    Ren, L., Zhang, L., Wang, L., Tao, F., & Chai, X. (2017). Cloud manufacturing: key characteristics and applications. International journal of computer integrated manufacturing30(6), 501-515.
[37]    Xu, X. (2012). From cloud computing to cloud manufacturing. Robotics and computer-integrated manufacturing28(1), 75-86.
[38]    Zhang, L., Luo, Y. L., Tao, F., Ren, L., & Guo, H. (2010). Key technologies for the construction of manufacturing cloud. Computer integrated manufacturing systems16(11), 2510-2520.