References
- Achabal, D. D., McIntyre, S. H., Smith, S. A., & Kalyanam, K. (2000). A decision support system for vendor managed inventory. Journal of Retailing, 76(4), pp. 430-454.
- 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 Research, 173, pp. 211-225.
- Aitken, J., Childerhouse, P., Christopher, M., & Towill, D. (2005). Designing and managing multiple pipelines. Journal of Business Logistics, 26(2), pp. 73-96.
- Aitken, J., Christopher, M., & Towill, D. (2002). Understanding, implementing and exploiting agility and leanness. International Journal of Logistics Research and Applications, 5(1), pp. 59-74.
- Alizadeh, S. S., Mortazavi, S. B., & Sepehri, M. M. (2014). Building a model using Bayesian network for assessment of posterior probabilities of falling from height at workplaces. Health Promotion Perspectives, 4(2), pp. 187-194.
- Anderson, R. D., Mackoy, R. D., Thompson, V. B., & Harrell, G. (2004). A Bayesian network estimation of the service-profit chain for transport service satisfaction. Decision Sciences, 35(4), pp. 665-689.
- Bhatia, B. S. (2008). Management of Service Sector. Deep and Deep Publications, New Delhi, India, pp. 319-331.
- Bollapragada, S., & Morton, T. E. (1999). Myopic heuristics for the random yield problem. Operations Research, 47(5), pp. 713-722.
- Breunig, A., Pocher, H., & Strunz, H. (2006). Wehrokonomik. Peter Lang International Academic Publishers, Frankfurt.
- Cai, B., Liu, Y., Zhang, Y., Fan, Q., Liu, Z., & Tian, X. (2013). A dynamic Bayesian networks modeling of human factors on offshore blowouts. Journal of Loss Prevention in the Process Industries, 26, pp. 639-649.
- Celio, E., Koellner, T., & Grêt-Regamey, A. (2014). Modeling land use decisions with Bayesian networks: Spatially explicit analysis of driving forces on land use change, Environmental Modelling & Software, 52, pp. 222-233.
- Chang, Y., Fan, C., Lo, W., Hung, W., & Yuan, S. (2015). Mobile cloud-based depression diagnosis using an ontology and a Bayesian network, Future Generation Computer System, 43, pp. 87-98.
- Chase, C. W., Jain, R., & Kahn, K. B. (2009). Demand Planning Maturity Model – Strategies for Demand-Driven Forecasting and Planning. A Joint Paper by Purdue University and SAS.
- Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000). Quantifying the bullwhip Effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Science, 46(3), pp. 436-443.
- Chiou, C. (2008). Trans-shipment problems in supply chain systems: Review and extensions. In: Vedran Kordic (ed.) Supply Chain – Theory and Applications. I-Tech Education and Publishing, Vienna, Austria, p. 558.
- Christopher, M., & Towill, D. R., (2000). Supply chain migration from lean and functional to agile and customised. Supply Chain Management: An International Journal, 5(4), pp. 206-213.
- Christopher, M. (2000). The agile supply chain: Competing on volatile markets. Industrial Marketing Management, 29(1), pp. 37-44.
- Cutler, P., & Nguyen, X. (2003). Description of a rule-based model for the automatic allocation of airborne assets. In: Proceedings of the 6th International Conference on Information Fusion, Cairns, Queensland, Australia.
- Darwiche, A. (2009). Modeling and Reasoning with Bayesian Networks. Cambridge University Press, New York, NY, USA.
- Dench, S. (1997). Changing skill needs: What makes people employable? Industrial and Commercial Training, 29(6), pp.190-193.
- Dogan, I., & Aydin, N. (2011). Combining Bayesian networks and total cost of ownership method for supplier selection analysis. Computers & Industrial Engineering, 61, pp. 1072-1085.
- Essig, M., Tandler, S., & Scheckenhofer, M. (2010). Defence supply chain management: conceptual framework and first empirical findings. In: Proceedings of the International Public Procurement Conference (IPPC), 26-28 August, Seoul, Korea.
- Falzon, L. (2006). Using Bayesian network analysis to support centre of gravity analysis in military planning. European Journal of Operational Research, 170, pp. 629-643.
- Fisher, M. (1997). What is the right supply chain for your product? Harvard Business Review, March-April, pp. 105-117.
- Gillies, D., Thornley, D., & Bisdikian, C. (2010). Probabilistic approaches to estimating the quality of information in military sensor networks. The Computer Journal, 53(5), pp. 493-502.
- Girardini, K., Lackey, A., Leuschner, K., Relles, D., Totten, M., & Blake, D. (2004). Dollar cost banding: A new algorithm for computing inventory levels for army supply support activities, Report (MG-128-A), RAND Corporation, Santa Monica, CA.
- Goldstein, H. (2006). Modeling terrorists. IEEE Spectrum, 43(9), pp. 26-34.
- Hanna, M. D., Newman, W. R., & Johnson, P. (2000). Linking operational and environmental improvement through employee involvement. International Journal of Operations & Production Management, 20(2), pp. 148-165.
- Harel, G. H., & Tzafrir, S. S. (1999). The effect of human resource management practices on the perceptions of organizational and market performance of the firm. Human Resource Management, 38, pp. 185-200.
- Heinrich, C. (2005). RFId and Beyond: Growing Your Business through Real World Awareness. Wiley, Indianapolis.
- Herzenberg, S. A., Alic, J. A., & Wial, H. (1998). New Rules for New Economy: Employment and Opportunity in Post Industrial America. Cornell University Press, Ithaca, NY.
- Hopp, W. J., & Van Oyen, M. P. (2004). Agile workforce evaluation: a framework for cross-training and coordination. IIE Transactions, 36(10), pp. 919-940.
- Hou, Y., Guo, W., & Zhu, Z. (2010). Threat assessment based on variable parameter dynamic Bayesian network. In: Proceedings of the 29th Chinese Control Conference, Beijing, China.
- Hudson, L. D., Ware, B. S., Laskey, K. B., & Mahoney, S. M. (2001). An application of Bayesian networks to antiterrorism risk management for military planners. Technical Report, Department of Systems and Engineering and Operations Research, George Mason University.
- Jensen, F. V. (1996). An Introduction to Bayesian Networks. UCL Press, London, UK.
- Jha, M. K. (2009). Dynamic Bayesian network for predicting the likelihood of a terrorist attack at critical transportation infrastructure facilities. Journal of Infrastructure Systems, 15, pp. 31-39.
- Johansson, F., & Falkman, G. (2008). A Bayesian network approach to threat evaluation with application to an air defence scenario. In: Proceedings of the 11th International Conference on Information Fusion, IEEE Xplore, Cologne, Germany.
- Jones, B., Jenkinson, I., Yang, Z., & Wang, J. (2010). The use of Bayesian network modelling for maintenance planning in a manufacturing industry. Reliability Engineering and System Safety, 95, pp. 267-277.
- Kjaerulff, U. B., & Madsen, A. L. (2008). Bayesian Networks and Influence Diagrams, Springer-Verlag, New York.
- Kovacs, G., & Tatham, P. (2009). Responding to disruptions in the supply network – from dormant to action. Journal of Business Logistics, 30(2), pp. 215-229.
- Krishnamurthy, R., & Yauch, C. A. (2007). Leagile manufacturing: A proposed corporate infrastructure. International Journal of Operations & Production Management, 27(6), pp. 588-604.
- Kruger, M., Ziegler, J., & Heller, K. (2012). A generic Bayesian network for identification and assessment of objects in maritime surveillance. In: Proceedings of the 15th International Conference on Information Fusion, IEEE Xplore, Singapore, pp. 2309-2316.
- Laskey, K. B., Ambrosio, B. D., Levitt, T. S., & Mahoney, S. (2000). Limited rationality in action: decision support for military situation assessment. Minds and Machines, 10, pp. 53-77.
- Lee, H., Peleg, B., Rajwat, P., Sarma, S., & Subirana, B. (2005). Assessing the Value of RFId Technology and the EPC Standard for Manufacturers, EPC Global Whitepaper.
- Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management Science, 46(5), pp. 626-643.
- Li, G., Lin, Y., Wang, S., and Yan, H. (2006). Enhancing agility by timely sharing of supply information. Supply Chain Management: An International Journal, 11(5), pp. 425-443.
- Li, J., & Gao, Y. (2010). Base on Bayesian network of supply chain enterprises collaborative sensitivity analysis. International Conference on Logistics systems and Intelligent Management, IEEE, 1, pp. 160-163.
- Lockamy, A., & McCormack, K. (2004). The development of a supply chain management process maturity model using the concepts of business process orientation. Supply Chain Management: An International Journal, 9(4), pp. 272-278.
- Meredith, J. (1987). The strategic advantages of new manufacturing technologies for small firms. Strategic Management Journal, 8, pp. 249-258.
- Nagel, R., & Dove, R. (1991). 21st Century Manufacturing Enterprise Strategy. Iacocca Institute, Leigh University, Bethlehem, PA.
- NATO. (2007). NATO Logistics Handbook. NATO HQ, Brussels, Belgium.
- Naylor, J., Naim, M., & Berry, D. (1999). Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain. International Journal of Production Economics, 62(1), pp. 107-118.
- Ohno, T. (1988). The Toyota Production System; Beyond Large Scale Production. Oregon Productivity Press, Portland.
- Oxenham, M., & Cutler, P. (2006). Accommodating obstacle avoidance in the weapons allocation problem for tactical air defence. In: Proceedings of the 9th International Conference on Information Fusion, Florence, Italy.
- Paul, A. K., & Anantharaman, R. N. (2004). Influence of HRM practices on organizational commitment: A study among software professionals in India. Human Resource Development Quarterly, 15(1), pp. 77-88.
- Peltz, E., Girardini, K., Robbins, M., & Boren, P. (2008). Effectively sustaining forces overseas while minimizing supply chain costs, Report (DB-524-A/DLA), RAND Corporation, Santa Monica, CA.
- Perry, M., & Sohal, A. S. (2000). Quick response practices and technologies in developing supply chains. International Journal of Physical Distribution & Logistics Management, 30(7/8), pp. 627-639.
- Qi, Y., Boyer, K. K., & Zhao, X. (2009). Supply chain strategy, product characteristics, and performance impact: Evidence from Chinese manufacturers. Decision Sciences, 40(4), pp. 667-695.
- Rekik, Y., Sahin, E., & Dallery, Y. (2008). Analysis of the impact of the RFId technology on reducing product misplacement errors at retail stores. International Journal of Production Economics, 112, pp. 264-278.
- Ross, D. F. (2002). Introduction to e-Supply Chain Management: Engaging Technology to Build Market-Winning Business Partnerships. St Lucie Press, Boca Raton, Florida.
- Sahin, E. (2004). A qualitative and quantitative analysis of the impact of auto ID technology on the performance of supply chains. Ph.D. Thesis, Ecole Centrale Paris.
- Sharma, P., & Kulkarni, M. S. (2016). Framework for a dynamic and responsive time-separated lean–agile spare parts replenishment system in army. International Journal of Productivity and Performance Management, 65(2), pp. 207-222.
- Sheffi, Y. (2001). Supply chain management under the threat of international terrorism. International Journal of Logistics Management, 12(2), pp. 1-11.
- Sherehiy, B., Karwowski, W., & Layer, J. K. (2007). A review of enterprise agility: concepts, frameworks, and attributes. International Journal of Industrial Ergonomics, 37, pp. 445-460.
- Shewchuk, J. P. (1998). Agile manufacturing: One size does not fit all. In: Bititci, U. S., & Carrie, A. S. (eds.). Strategic Management of the Manufacturing Value Chain. Springer, Norwell, Dordrecht, pp. 143-150.
- Soberanis, D., & Elizabeth, I. (2010). An extended Bayesian network approach for analyzing supply chain disruptions. Ph.D. (Doctor of Philosophy) Thesis, University of Iowa.
- Sun, H., Ren, Y., & Yeo, K. T. (2008). Capability maturity model for supply chain management. Available at www-scf.usc.edu/SCM_CMM.pdf.
- Sun, Z., Ee-Peng, L., Chang, K., Teng-Kwee, O., and Gunaratna, R. K. (2005). Event driven document selection for terrorism information extraction. IEEE Intelligence and Security Informatics, 3495, pp. 37-48.
- Sutrisnowati, R. S., Bae, H., & Song, M. (2015). Bayesian network construction from event log for lateness analysis in port logistics. Computers & Industrial Engineering, 89(C), pp. 53-66.
- Tatham, P. (2006). Meeting the challenge of the 21st century military supply chain – an agenda for research. In: Proceedings of the NOFOMA 2006 Conference, Oslo, Norway.
- Thakkar, J., Kanda, A., & Deshmukh, S. G. (2009). Supply chain performance measurement framework for small and medium scale enterprises. Benchmarking: An International Journal, 16(5), pp. 702-723.
- Thiel, D., Hovelaque, V., & Thi Le Hoa, V. O. (2009). Impact of Inventory Inaccuracy on Service-Level Quality: A Simulation Analysis (No. 200901), INRA UMR SMART.
- Towill, D. R., & Christopher, M. (2005). An evolutionary approach to the architecture of effective healthcare delivery systems. Journal of Health Organization and Management, 19(2), pp. 130-147.
- Uusitalo, L., Kuikka, S., & Romakkaniemi, A. (2005). Estimation of Atlantic salmon smolt carrying capacity of rivers using expert knowledge. ICES Journal of Marine Science, 62(4), pp. 708-722.
- Uusitalo, L. (2007). Advantages and challenges of Bayesian networks in environmental modeling. Ecological Modelling, 203, pp. 312-318.
- Vuyk, C. (2003). Out-of-stocks: A nightmare for retailer and supplier. Beverage World, Available at www.beverageworld.com.
- Wang, G., Huang, S. H., & Dismukes, J. P. (2004). Product-driven supply chain selection using integrated multi-criteria decision-making methodology. International Journal of Production Economics, 91(1), pp. 1-15.
- Wang, Y. F., Xie, M., Ng, K. M., & Habibullah, M. S. (2011). Probability analysis of offshore fire by incorporating human and organizational factor. Ocean Engineering, 38, pp. 2042-2055.
- Wang, Y., Sun, Y., Li, J.-Y., & Xia, S.-T. (2012). Air defense threat assessment based on dynamic Bayesian network. International Conference on Systems and Informatics (ICSAI 2012), Yantai, China.
- Womack, J. P., & Jones, D. T. (1996). Lean Thinking, Simon and Schuster, New York.
- Wright, E., Mahoney, S., Laskey, K., Takikawa, M., & Levitt, T. (2002). Multi-entity Bayesian networks for situation assessment, Information Extraction & Transport, Inc., In: Proceedings of the 5th International Conference on Information Fusion, IEEE Xplore, 2, pp. 804-811.
- Xiang, Y., Zeng, Y., Zhu, W., & Poh, K.-L. (2008). An intelligent design system for military situation assessment. In: Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, IEEE Xplore, Xiamen, China, pp. 158-163.
- Yao, Y., Evers, P. T., & Dresner, M. E. (2007). Supply chain integration in vendor-managed inventory. Decision Support Systems, 43, pp. 663-674.
- Yoho, K., Rietjens, S., & Tatham, P. (2013). Defence logistics: An important research field in need of researchers. International Journal of Physical Distribution & Logistics Management, 43(2), pp. 80-96.