Provide logistics pattern according to the type and nature of future threats

Document Type : Original Article

Authors

1 PhD student in industrial engineer of Tehran university

2 Associate Professor, Faculty of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran (Corresponding Author)

3 Professor, Faculty of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

4 Ph.D., Strategic Management, National Defense University, Tehran, Iran

Abstract

For prospective strategies in the field of logistics, analysis of the internal environment (strengths and weaknesses) requires more recognition feature is logistics and prioritization. Currently, due to the emergence of new patterns of warfare and its impact on military organizations, especially in the field of logistic, the priorities of logistics have not been determined by science and practice, which is the main issue of this research. So identifying and explaining the characteristics and priorities according to the type and nature of future threats Logistics main objective of this research. This research is of type, applied-development and methodological, descriptive and survey type, and is carried out in combination (qualitative-quantitative). In this research, qualitative content analysis method and also paired comparison method have been used to prioritize logistic characteristics for future threats. The characteristics of logistic are based on the type and nature of future threats from four sections including the discourse of leader, backgrounds and research backgrounds, theoretical fundamentals and interviews with experts. After reviewing, grouping and classifying features in the form of four The following were the structural, organizational, equipment, and methodology. The top ten top ten logistic priorities were identified according to the type and nature of future threats. The priorities are as follows: follows: Agility,Flexibility, Faith and Commitment of Logistics Staff, Intelligent Command and Control System, Logistics Skills and Expertise, Native, Safe, and Sustainable FAVA Systems, Dynamic Command System, Prioritize Supply Effective Equipment and Weapons Axis, Focused design and decentralized implementation, Priority to providing intelligent equipment and weapons.

Keywords

References

  •  

    • Ambe, I. M. (2010). Agile supply chain: Strategy for competitive advantage. Journal of Global Strategic Management, 4(1): 5-17.
    • Baghalian, A., Rezapour, S., & Farahani, R. Z. (2013). Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. European Journal of Operational Research, 227(1): 199-215.‏
    • Maurya, P., & Gupta, B. K. (2016). Supply chain pipeline. International Journal of Applied Research, 2(1): 314-319.‏
    • Nikou, C., & Moschuris, S. J. (2016). An integrated approach for supplier selection in military critical application items. Journal of Public Procurement, 16(1): 83-117.‏
    • Ramezani, M., Bashiri, M., & Tavakkoli-Moghaddam, R. (2013). A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level. Applied Mathematical Modelling, 37(1-2): 328-344.‏
    • Rietjens, B., van Kampen, T., & Grant, T. (2010). Logistics planning and control: lessons learned in Afghanistan. In Managing Military Organizations (pp. 115-128). Routledge.‏
    • Tabrizi, B. H., & Razmi, J. (2013). Introducing a mixed-integer non-linear fuzzy model for risk management in designing supply chain networks. Journal of Manufacturing Systems, 32(2): 295-307.‏
    • Tang, C. S. (2006). Perspectives in supply chain risk management. International journal of production economics, 103(2): 451-488.‏

    Zigiaris, S. (2000). The supply chain management, in INNOREGIO: Dissemination of innovation and knowledge management techniques. Retrieved from http://www.urenio.org/tools.

Defensive Future Studies
Volume 4, Issue 12
June 2019
Pages 83-108

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