IDEAS home Printed from https://ideas.repec.org/a/wly/syseng/v19y2016i2p133-145.html
   My bibliography  Save this article

Evaluating the Systems Engineering Problem Management Process for Industrial Manufacturing Problems

Author

Listed:
  • Dennis A. Perry
  • Bill Olson
  • Paul Blessner
  • Timothy D. Blackburn

Abstract

Problems are ever‐present in nearly all engineered systems. A Systems Engineering Problem Management Process (SEPMP) has been proposed, and this research presents empirical evidence to support its validity. In order to evaluate the SEPMP, which uses a risk management style matrix to monitor problem timeliness and impact, it is necessary to determine the importance of communicating these components of the SEPMP model. A correlation and regression analysis is employed using existing empirical problem data and an analysis including communication of impact and timeliness components as independent variables. The dependent variable is the effectiveness of problem management, modeled as a measurement of the problem timeliness, implemented process improvements, training completed, and process delay as a result of the problem. Communication of timeliness and communication of impact are demonstrated to be significantly predictive of effective problem management. Finally, a plan for continued research is presented, including suggested future analyses to include additional empirical research and case studies of the implementation of a comprehensive problem management process, all of which may encourage acceptance of the SEPMP as a standard systems engineering tool.

Suggested Citation

  • Dennis A. Perry & Bill Olson & Paul Blessner & Timothy D. Blackburn, 2016. "Evaluating the Systems Engineering Problem Management Process for Industrial Manufacturing Problems," Systems Engineering, John Wiley & Sons, vol. 19(2), pages 133-145, March.
    • Handle: RePEc:wly:syseng:v:19:y:2016:i:2:p:133-145
    DOI: 10.1002/sys.21340
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sys.21340
    Download Restriction: no
    File URL: https://libkey.io/10.1002/sys.21340?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael J. Pennock & Yacov Y. Haimes, 2002. "Principles and guidelines for project risk management," Systems Engineering, John Wiley & Sons, vol. 5(2), pages 89-108.
    2. Véronique Cariou, 2006. "Extension of multivariate regression trees to interval data. Application to electricity load profiling," Computational Statistics, Springer, vol. 21(2), pages 325-341, June.
    3. David J. Ball & John Watt, 2013. "Further Thoughts on the Utility of Risk Matrices," Risk Analysis, John Wiley & Sons, vol. 33(11), pages 2068-2078, November.
    4. Michele Bristow & Liping Fang & Keith W. Hipel, 2012. "System of Systems Engineering and Risk Management of Extreme Events: Concepts and Case Study," Risk Analysis, John Wiley & Sons, vol. 32(11), pages 1935-1955, November.
    5. J. Park & T. P. Seager & P. S. C. Rao & M. Convertino & I. Linkov, 2013. "Integrating Risk and Resilience Approaches to Catastrophe Management in Engineering Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 356-367, March.
    6. Yacov Y. Haimes, 2012. "Systems‐Based Guiding Principles for Risk Modeling, Planning, Assessment, Management, and Communication," Risk Analysis, John Wiley & Sons, vol. 32(9), pages 1451-1467, September.
    7. Sara Casacci & Adriano Pareto, 2015. "Methods for quantifying ordinal variables: a comparative study," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 1859-1872, September.
    8. Bill A. Olson & Thomas A. Mazzuchi & Shahram Sarkani & Kevin Forsberg, 2012. "Problem management process, filling the gap in the systems engineering processes between the risk and opportunity processes," Systems Engineering, John Wiley & Sons, vol. 15(3), pages 275-286, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yacov Y. Haimes, 2018. "Risk Modeling of Interdependent Complex Systems of Systems: Theory and Practice," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 84-98, January.
    2. Danielsson, Erna & Nyhlén, Jon & Olausson, Pär M., 2020. "Strategic planning for power shortages," Energy Policy, Elsevier, vol. 137(C).
    3. Shen, Lijuan & Cassottana, Beatrice & Tang, Loon Ching, 2018. "Statistical trend tests for resilience of power systems," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 138-147.
    4. Bo Zou & Pooria Choobchian & Julie Rozenberg, 2021. "Cyber resilience of autonomous mobility systems: cyber-attacks and resilience-enhancing strategies," Journal of Transportation Security, Springer, vol. 14(3), pages 137-155, December.
    5. Sulfikar Amir & Vivek Kant, 2018. "Sociotechnical Resilience: A Preliminary Concept," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 8-16, January.
    6. James H. Lambert & Rachel K. Jennings & Nilesh N. Joshi, 2006. "Integration of risk identification with business process models," Systems Engineering, John Wiley & Sons, vol. 9(3), pages 187-198, September.
    7. Hiba Baroud & Jose E. Ramirez‐Marquez & Kash Barker & Claudio M. Rocco, 2014. "Stochastic Measures of Network Resilience: Applications to Waterway Commodity Flows," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1317-1335, July.
    8. Timothy L. McDaniels & Stephanie E. Chang & David Hawkins & Gerard Chew & Holly Longstaff, 2015. "Towards disaster-resilient cities: an approach for setting priorities in infrastructure mitigation efforts," Environment Systems and Decisions, Springer, vol. 35(2), pages 252-263, June.
    9. Stéphane Hallegatte, 2014. "Modeling the Role of Inventories and Heterogeneity in the Assessment of the Economic Costs of Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 152-167, January.
    10. Michael Greenberg, 2012. "Our Deteriorating Physical Structures and Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 32(12), pages 2008-2009, December.
    11. H. Klammler & P. S. C. Rao & K. Hatfield, 2018. "Modeling dynamic resilience in coupled technological-social systems subjected to stochastic disturbance regimes," Environment Systems and Decisions, Springer, vol. 38(1), pages 140-159, March.
    12. Mohammed M. Al-Humaiqani & Sami G. Al-Ghamdi, 2023. "Assessing the Built Environment’s Reflectivity, Flexibility, Resourcefulness, and Rapidity Resilience Qualities against Climate Change Impacts from the Perspective of Different Stakeholders," Sustainability, MDPI, vol. 15(6), pages 1-30, March.
    13. Chao-Yuan Lin & Yuan-Chung Lai & Shao-Wei Wu & Fan-Chung Mo & Cheng-Yu Lin, 2022. "Assessment of potential sediment disasters and resilience management of mountain roads using environmental indicators," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 1951-1975, March.
    14. Ahmad, Nasir & Derrible, Sybil, 2018. "An information theory based robustness analysis of energy mix in US States," Energy Policy, Elsevier, vol. 120(C), pages 167-174.
    15. Sara Casacci & Adriano Pareto, 2018. "Subjective Indicators Construction by Distance Indices: An Application to Life Satisfaction Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(3), pages 831-846, June.
    16. Dubaniowski, Mateusz Iwo & Heinimann, Hans Rudolf, 2021. "Framework for modeling interdependencies between households, businesses, and infrastructure system, and their response to disruptions—application," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    17. Fang, Yi-Ping & Sansavini, Giovanni, 2019. "Optimum post-disruption restoration under uncertainty for enhancing critical infrastructure resilience," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 1-11.
    18. Elizabeth B. Connelly & Craig R. Allen & Kirk Hatfield & José M. Palma-Oliveira & David D. Woods & Igor Linkov, 2017. "Features of resilience," Environment Systems and Decisions, Springer, vol. 37(1), pages 46-50, March.
    19. Zhenyu Guo & Yacov Y. Haimes, 2016. "Risk Assessment of Infrastructure System of Systems with Precursor Analysis," Risk Analysis, John Wiley & Sons, vol. 36(8), pages 1630-1643, August.
    20. Nicolas Rossignol & Pierre Delvenne & Catrinel Turcanu, 2015. "Rethinking Vulnerability Analysis and Governance with Emphasis on a Participatory Approach," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 129-141, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:syseng:v:19:y:2016:i:2:p:133-145. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6858 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.