System Support Engineering Framework: A Tool to Achieve Strategy Transformation

Abstract

Modern refineries are complex, very high in value of production. They are expected to function for years to come, with ability to handle the changes in technology and feed quality. The aging of a refinery and continuous increases of vendors and contractors force the refinery’s operation management to design a strategic approach which can capture these changes. Therefore, this paper explores and outlines the nature of the support system design for a refinery in order to comply with strategic transformation. The research work explores the operation support system from a range of perspectives, by interviewing managers from across the refinery organization. The factors contributing to complexity of a support system are described in the context presented, which clusters them into several key areas. It is proposed that SSE framework may then be used as analytical tool for managing and designing support system(s). The paper will conclude with discussion of potential application and strategic views of the framework. Also, it will designate the opportunities for future work.

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M. Alsaidi and J. Mo, "System Support Engineering Framework: A Tool to Achieve Strategy Transformation," Technology and Investment, Vol. 5 No. 1, 2014, pp. 32-44. doi: 10.4236/ti.2014.51005.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] U. R. Chaudhuri, “Plant Management and Economics,” In: U. R. Chaudhuri, Ed., Fundamentals of Petroleum and Petrochemical Engineering, CRC Press, Boca Raton 2010, pp. 343-373. http://dx.doi.org/10.1201/b10486-16
[2] M. S. Al Saidi, J. P. T. Mo and A. S. B. Tam, “Systemic Approach to Strategic Performance Sustainability and Evaluation,” PMA 2012 Conference—From Strategy to Delivery, Cambridge, 2012.
[3] Y. Li, X. Wang and T. M. Adams, “Ride Service Outsourcing for Profit Maximization,” Transportation Research Part E: Logistics and Transportation Review, Vol. 45, No. 1, 2009, pp. 138-148.
http://dx.doi.org/10.1016/j.tre.2008.02.006
[4] B. Feng, Z.-P. Fan and Y. Li, “A Decision Method for Supplier Selection in Multi-Service Outsourcing,” International Journal of Production Economics, Vol. 132, No. 2, 2011, pp. 240-250.
http://dx.doi.org/10.1016/j.ijpe.2011.04.014
[5] S. Lin and A. C. Ma, “Outsourcing and Productivity: Evidence from Korean Data,” Journal of Asian Economics, Vol. 23, No. 1, 2012, pp. 39-49.
http://dx.doi.org/10.1016/j.asieco.2011.11.005
[6] H. Görg and A. Hanley, “Services Outsourcing and Innovation: An Empirical Investigation,” Economic Inquiry, Vol. 49, No. 2, 2011, pp. 321-333.
http://dx.doi.org/10.1111/j.1465-7295.2010.00299.x
[7] O. F. Bustinza, D. Arias-Aranda and L. Gutierrez-Gutierrez, “Outsourcing, Competitive Capabilities and Performance: An Empirical Study in Service Firms,” International Journal of Production Economics, Vol. 126, No. 2, 2010, pp. 276-288.
http://dx.doi.org/10.1016/j.ijpe.2010.03.023
[8] H.-H. Lee, E. J. Pinker and R. A. Shumsky, “Outsourcing a Two-Level Service Process,” Management Science, Vol. 58, No. 8, 2012, pp. 1569-1584.
http://dx.doi.org/10.1287/mnsc.1110.1503
[9] S. Cai, K. Ci and B. Zou, “Producer Services Outsourcing Risk Control Based on Outsourcing Contract Design: Industrial Engineering Perspective,” Systems Engineering Procedia, Vol. 2, 2011, pp. 308-315.
http://dx.doi.org/10.1016/j.sepro.2011.10.043
[10] Y. Correa and C. Keating, “An Approach to Model Formulation for Systems of Systems,” IEEE International Conference on Systems, Man and Cybernetics, 2003.
[11] M. Gibbert and W. Ruigrok, “The ‘What’ and ‘How’ of Case Study Rigor: Three Strategies Based on Published Work,” Organizational Research Methods, Vol. 13, No. 4, 2010, pp. 710-737.
http://dx.doi.org/10.1177/1094428109351319
[12] R. K. Yin, “Case Study Methods,” In: H. Cooper, et al., Ed., APA Handbook of Research Methods in Psychology, Vol. 2: Research Designs: Quantitative, Qualitative, Neuropsychological, and Biological, American Psychological Association, Washington DC, 2012, pp. 141-155.
[13] M. Woolcock, “Using Case Studies to Explore the External Validity of ‘Complex’ Development Interventions,” Evaluation, Vol. 19, No. 3, 2013, pp. 229-248.
http://dx.doi.org/10.1177/1356389013495210
[14] P. Runeson and M. Höst, “Guidelines for Conducting and Reporting Case Study Research in Software Engineering,” Empirical Software Engineering, Vol. 14, No. 2, 2009, pp. 131-164.
http://dx.doi.org/10.1007/s10664-008-9102-8
[15] A. G. Woodside, “Bridging the Chasm between Survey and Case Study Research: Research Methods for Achieving Generalization, Accuracy, and Complexity,” Industrial Marketing Management, Vol. 39, No. 1, 2010, pp. 64-75.
http://dx.doi.org/10.1016/j.indmarman.2009.03.017
[16] M. A. Fahim, T. A. Alsahhaf and A. Elkilani, “Fundamentals of Petroleum Refining,” Chemical, Petrochemical & Process, 2010, pp. 1-487.
[17] U. R. Chaudhuri, “Crude Petroleum Oil,” In: U. R. Chaudhuri, Ed., Fundamentals of Petroleum and Petrochemical Engineering, CRC Press, Boca Raton, 2010, pp. 1-23.
http://dx.doi.org/10.1016/j.indmarman.2009.03.017
[18] Company, O.O.R.a.P.I., “Our Company,” 2013.
http://orpic.om/page/details/key/our-company#rights
[19] (GPCA), G.P.a.C.A. ORPIC, 2013.
http://gpca.org.ae/congulf/blog/orpic
[20] U. R. Chaudhuri, “Offsite Facilities, Power and Utilities,” In: U. R. Chaudhuri, Ed., Fundamentals of Petroleum and Petrochemical Engineering, CRC Press, Boca Raton, 2010, pp. 131-150. http://dx.doi.org/10.1201/b10486-7
[21] J. Mo, “Services and Support Supply Chain Design for Complex Engineering Systems,” In: P. Li, Ed., Supply Chain Management, InTech, Rijeka, 2011, pp. 515-532.
[22] U. R. Chaudhuri, “Instrumentation and Control in a Refinery,” In: U. R. Chaudhuri, Ed., Fundamentals of Petroleum and Petrochemical Engineering, CRC Press, Boca Raton, 2010, pp. 297-324.
http://dx.doi.org/10.1201/b10486-14
[23] M. Kodama, “Boundaries Innovation and Knowledge Integration in the Japanese Firm,” Long Range Planning, Vol. 42, No. 4, 2009, pp. 463-494.
http://dx.doi.org/10.1016/j.lrp.2009.08.001
[24] V. Martinez, et al., “Challenges in Transforming Manufacturing Organisations into Product-Service Providers,” Journal of Manufacturing Technology Management, Vol. 21, No. 4, 2010, pp. 449-469.
http://dx.doi.org/10.1108/17410381011046571
[25] T. Shibata, “Managing Parallel Development towards Technological Transitions,” International Journal of Technology Management, Vol. 60, No. 3, 2012, pp. 281-301.
http://dx.doi.org/10.1504/IJTM.2012.049427
[26] C.-H. Kuei and M. H. Lu, “Integrating Quality Management Principles into Sustainability Management,” Total Quality Management & Business Excellence, Vol. 24, No. 1-2, 2012, pp. 62-78.
http://dx.doi.org/10.1080/14783363.2012.669536
[27] I. Nonaka, et al., “Dynamic Fractal Organizations for Promoting Knowledge-Based Transformation—A New Paradigm for Organizational Theory,” European Management Journal, Vol. 32, No. 1, 2014, pp. 137-146.
[28] J. P. T. Mo, “System Support Engineering: The Foundation Knowledge for Performance Based Contracting,” ICOMS2009, Sydney.
[29] M. S. Al Saidi and J. P. T. Mo, “An Empirical Approach to Model Formulation for System Support Engineering,” International Journal of Engineering Business Management, Vol. 5, No. 11, 2013.
[30] J. Mendling, H. A. Reijers and W. M. P. van der Aalst, “Seven Process Modeling Guidelines (7PMG),” Information and Software Technology, Vol. 52, No. 2, 2010, pp. 127-136.
http://dx.doi.org/10.1016/j.infsof.2009.08.004
[31] R. Lock, “Developing a Methodology to Support the Evolution of System of Systems Using Risk Analysis,” Systems Engineering, Vol. 15, No. 1, 2012, pp. 62-73.
http://dx.doi.org/10.1002/sys.20194
[32] F. Chao, F. Marle, M. Xie and E. Zio, “An Integrated Framework for Risk Response Planning under Resource Constraints in Large Engineering Projects,” IEEE Transactions on Engineering Management, Vol. 60, No. 3, 2013, pp. 627-639.
http://dx.doi.org/10.1109/TEM.2013.2242078
[33] Q. H. Zhang, “The Model Research on Risk Control,” In: The 19th International Conference on Industrial Engineering and Engineering Management, Springer, Berlin, 2013, pp. 653-659.
[34] F. Franceschini, M. Galetto and E. Turina, “Impact of Performance Indicators on Organisations: A Proposal for an Evaluation Model,” Production Planning & Control, 2013, pp. 1-17. (ahead-of-print)
[35] P. Mohagheghi, W. Gilani, A. Stefanescu and M. A. Fernandez, “An Empirical Study of the State of the Practice and Acceptance of Model-Driven Engineering in Four Industrial Cases,” Empirical Software Engineering, Vol. 18, No. 1, 2013, pp. 89-116.
http://dx.doi.org/10.1007/s10664-012-9196-x
[36] E. Bassett and V. Shandas, “Innovation and Climate Action Planning,” Journal of the American Planning Association, Vol. 76, No. 4, 2010, pp. 435-450.
http://dx.doi.org/10.1080/01944363.2010.509703
[37] D. L. Farber, “Understanding Engineering Systems Futures: Using Scenario Analysis and Planning to Develop Engineering Systems Leadership,” College of Engineering, Pennsylvania State University, Pennsylvania, 2011.
[38] B. Boehm, J. Lane, S. Koolmanojwong and R. Turner, “An Evidence-based Systems Engineering (SE) Data Item Description,” Procedia Computer Science, Vol. 16, 2013, pp. 898-907.
http://dx.doi.org/10.1016/j.procs.2013.01.094
[39] H. Shamma and S. Hassan, “Customer-Driven Benchmarking: A Strategic Approach toward a Sustainable Marketing Performance,” Benchmarking: An International Journal, Vol. 20, No. 3, 2013, pp. 377-395.
[40] M. A. Neves, M. Totrov and R. Abagyan, “Docking and Scoring with ICM: The Benchmarking Results and Strategies for Improvement,” Journal of Computer-Aided Molecular Design, Vol. 26, No. 6, 2012, pp. 675-686.
http://dx.doi.org/10.1007/s10822-012-9547-0
[41] S. Iantorno, K. Gori, N. Goldman, M. Gil and C. Dessimoz, “Who Watches the Watchmen? An Appraisal of Benchmarks for Multiple Sequence Alignment,” 2012. arXiv: 1211.2160, preprint.
[42] A. Löytynoja, “Alignment Methods: Strategies, Challenges, Benchmarking, and Comparative Overview,” In: Evolutionary Genomics, Springer, Berlin, 2012, pp. 203-235.
http://dx.doi.org/10.1007/978-1-61779-582-4_7
[43] O. James, “The Effectiveness of Benchmarking as an Organizational Transformation Strategy in Higher Education Institutions in South Africa,” Proceedings of the International Conference on Education, Research and Innovation 2012, Madrid, 20-21 November 2012, pp. 55885598.
[44] Y. Yang, C. Shi and J. Li, “Of Benchmarking,” In: Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012, Vol. 2, Springer, Berlin, 2013.
[45] D. M. Buede, “The Engineering Design of Systems: Models and Methods,” John Wiley & Sons, Hoboken, 2011.
[46] J. S. Gero and M. L. Maher, “Modeling Creativity and Knowledge-Based Creative Design,” Psychology Press, Hove, 2013.
[47] H. Meth, A. Maedche and M. Einoeder, “Exploring Design Principles of Task Elicitation Systems for Unrestricted Natural Language Documents,” In: Proceedings of the 4th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, ACM, New York, 2012.
[48] S. Andradóttir, H. Ayhan and D. G. Down, “Design Principles for Flexible Systems,” Production and Operations Management, Vol. 22, No. 5, 2013, pp. 1144-1156.
[49] Q. Cheng, C. M. Xiao, G. J. Zhang, P. H. Gu and L. G. Cai, “An Analytical Robust Design Optimization Methodology Based on Axiomatic Design Principles,” Quality and Reliability Engineering International, 2013, Early View.
[50] H. Z. Yang, J. F. Chen, N. Ma and D. Y. Wang, “Implementation of Knowledge-Based Engineering Methodology in Ship Structural Design,” Computer-Aided Design, Vol. 44, No. 3, 2012, pp. 196-202.
http://dx.doi.org/10.1016/j.cad.2011.06.012
[51] Y. H. Wu and H. J. Shaw, “Document Based Knowledge Base Engineering Method for Ship Basic Design,” Ocean Engineering, Vol. 38, No. 13, 2011, pp. 1508-1521.
http://dx.doi.org/10.1016/j.oceaneng.2011.07.014

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