Presenting an Interpretive Structural modeling Approach of Agility Criteria (Case Study: Fajr Jam Gas Refinery)
Subject Areas :
Industrial Management
Abbas Shoul
1
,
Saeid Sadeghi
2
1 - Assistant Prof., Dep of Industrial Management, Faculty of Administrative Sciences and Economics, Vali-e-Asr University, , Iran
2 - Ph.D. Student, AllamehTabatabaei University
Received: 2016-07-20
Accepted : 2017-10-17
Published : 2017-12-24
Keywords:
Abstract :
In today’s competitive and fast-moving marketplace, agile manufacturing is one of the strongest tools to respond to customer demands. Companies face the high environmental change due to the high level of competition for personalized products, reducing production time and high speed of emerging technologies. These organizations need to increase their agility in order to adapt business processes with rapid changes and survive in the competitive environment. In the current changeable situation, everyone found that the only competitive advantage of organizations in the future is that managers learn how to learn faster than their competitors and this is meaning of agility concept. Most of the experts state that the most successful organizations in the future will be those who are agiler. The main aim of this research is to present a model to identify contributing factors in agility of Fajr Jam gas refinery. The data were collected from managers and experts of Fajr Jam gas refinery. In order to analyze data Interpretive Structural Modeling (ISM) was used, and relations between criteria were identified. Then using MICMAC analysis the amount of influence and dependence of each criterion was obtained. The result of analyzing data indicate that “empowered and multi-skilled workers” criterion with the greatest leverage, ranked as the most influential criteria. Finally, some practical offers and strategies for managers are provided.
References:
Appelbaum, S. H., Calla, R., Calla, R., Desautels, D., Desautels, D, & Hasan, L. (2017). The challenges of organizational agility (part 1). Industrial and Commercial Training, 49(1), 6-14.
Arteta, B. M., & Giachetti, R. E. (2004). A measure of agility as the complexity of the enterprise system. Robotics and Computer-Integrated Manufacturing, 20(6), 495-503.
Ashrafi, N., Xu, P., Sathasivam, M., Kuilboer, J. P., Koelher, W., Heimann, D., & Waage, F. (2005). A framework for implementing business agility through knowledge management systems. In Seventh IEEE International Conference on E-Commerce Technology Workshops.IEEE. 116-121.
Carlson, J. G., & Yao, A. C. (2008). Simulating an agile, synchronized manufacturing system. International Journal of production economics, 112(2), 714-722.
Eltawy, N., & Gallear, D. (2017). Leanness and agility: a comparative theoretical view. Industrial Management & Data Systems, 117(1), 149-465.
Farsijani, H (2014). explaining and identifying the elements of effecting corporational speed at universities. Business Banagement Outlook, 14, 13-27.
Gunasekaran, A. (1998). Agile manufacturing: Enablers and an implementation framework, International Journal of Oprational Resaerch, 36(5), 1223-1247.
Hormozi, A. M. (2001). Agile manufacturing: the next logical step. Benchmarking: An International Journal, 8(2), 132-143.
Iranzadeh, S., Mesbahi, N., Shokri A., Ebrahimi, R. (2016). A study of the relation between organizational agility dimensions and the productivity of Dana insurance company employees in East Azarbaijan province. Quarterly Journal of Productivity Management, 10(38), 117-146
Ismail, H. S., & Sharifi, H. (2006). A balanced approach to building agile supply chains. International Journal of Physical Distribution & Logistics Management, 36(6), 431-444.
Jackson, M., & Johansson, C. (2003). An agility analysis from a production system perspective. Integrated Manufacturing Systems, 14(6), 482-488.
Khoshsima, G. (2003). Presenting a model in order to measurment agility of product organizations in Iranian elechtronic industry using fuzzy logic. MA thesis, faculty of management, university of Tehran.
Maskell, B. (2001). The age of agile manufacturing. Supply Chain Management: An International Journal, 6(1), 5-11.
Onuh, S., Bennett, N., & Hughes, V. (2006). Reverse engineering and rapid tooling as enablers of agile manufacturing. International Journal of Agile Systems and Management, 1(1), 60-72.
Ramasesh, R., Kulkarni, S., & Jayakumar, M. (2001). Agility in manufacturing systems: an exploratory modeling framework and simulation. Integrated Manufacturing Systems, 12(7), 534-548.
Sharifi, H., & Zhang, Z. (1999). A methodology for achieving agility in manufacturing organisations: An introduction. International journal of production economics, 62(1), 7-22.
Sharifi, H., & Zhang, Z. (2001). Agile manufacturing in practice-Application of a methodology. International Journal of Operations & Production Management, 21(5/6), 772-794.
Sherehiy, B., & Karwowski, W. (2014). The relationship between work organization and workforce agility in small manufacturing enterprises. International Journal of Industrial Ergonomics, 44(3), 466-473.
Yusuf, Y. Y., Gunasekaran, A., Adeleye, E. O., & Sivayoganathan, K. (2004). Agile supply chain capabilities: Determinants of competitive objectives. European Journal of Operational Research, 159(2), 379-392.
_||_
Appelbaum, S. H., Calla, R., Calla, R., Desautels, D., Desautels, D, & Hasan, L. (2017). The challenges of organizational agility (part 1). Industrial and Commercial Training, 49(1), 6-14.
Arteta, B. M., & Giachetti, R. E. (2004). A measure of agility as the complexity of the enterprise system. Robotics and Computer-Integrated Manufacturing, 20(6), 495-503.
Ashrafi, N., Xu, P., Sathasivam, M., Kuilboer, J. P., Koelher, W., Heimann, D., & Waage, F. (2005). A framework for implementing business agility through knowledge management systems. In Seventh IEEE International Conference on E-Commerce Technology Workshops.IEEE. 116-121.
Carlson, J. G., & Yao, A. C. (2008). Simulating an agile, synchronized manufacturing system. International Journal of production economics, 112(2), 714-722.
Eltawy, N., & Gallear, D. (2017). Leanness and agility: a comparative theoretical view. Industrial Management & Data Systems, 117(1), 149-465.
Farsijani, H (2014). explaining and identifying the elements of effecting corporational speed at universities. Business Banagement Outlook, 14, 13-27.
Gunasekaran, A. (1998). Agile manufacturing: Enablers and an implementation framework, International Journal of Oprational Resaerch, 36(5), 1223-1247.
Hormozi, A. M. (2001). Agile manufacturing: the next logical step. Benchmarking: An International Journal, 8(2), 132-143.
Iranzadeh, S., Mesbahi, N., Shokri A., Ebrahimi, R. (2016). A study of the relation between organizational agility dimensions and the productivity of Dana insurance company employees in East Azarbaijan province. Quarterly Journal of Productivity Management, 10(38), 117-146
Ismail, H. S., & Sharifi, H. (2006). A balanced approach to building agile supply chains. International Journal of Physical Distribution & Logistics Management, 36(6), 431-444.
Jackson, M., & Johansson, C. (2003). An agility analysis from a production system perspective. Integrated Manufacturing Systems, 14(6), 482-488.
Khoshsima, G. (2003). Presenting a model in order to measurment agility of product organizations in Iranian elechtronic industry using fuzzy logic. MA thesis, faculty of management, university of Tehran.
Maskell, B. (2001). The age of agile manufacturing. Supply Chain Management: An International Journal, 6(1), 5-11.
Onuh, S., Bennett, N., & Hughes, V. (2006). Reverse engineering and rapid tooling as enablers of agile manufacturing. International Journal of Agile Systems and Management, 1(1), 60-72.
Ramasesh, R., Kulkarni, S., & Jayakumar, M. (2001). Agility in manufacturing systems: an exploratory modeling framework and simulation. Integrated Manufacturing Systems, 12(7), 534-548.
Sharifi, H., & Zhang, Z. (1999). A methodology for achieving agility in manufacturing organisations: An introduction. International journal of production economics, 62(1), 7-22.
Sharifi, H., & Zhang, Z. (2001). Agile manufacturing in practice-Application of a methodology. International Journal of Operations & Production Management, 21(5/6), 772-794.
Sherehiy, B., & Karwowski, W. (2014). The relationship between work organization and workforce agility in small manufacturing enterprises. International Journal of Industrial Ergonomics, 44(3), 466-473.
Yusuf, Y. Y., Gunasekaran, A., Adeleye, E. O., & Sivayoganathan, K. (2004). Agile supply chain capabilities: Determinants of competitive objectives. European Journal of Operational Research, 159(2), 379-392.