Systems Thinking Approaches in Organizations and Projects
Verified
Added on  2023/03/20
|11
|3073
|74
AI Summary
This essay explores the use of systems thinking approaches in organizations and projects, including the analysis of general systems management, strategic portfolio alignment, organizational structures, and engineering risk management.
Contribute Materials
Your contribution can guide someone’s learning journey. Share your
documents today.
Assessment PPMP20012 Title: Systems Thinking Approaches in Organizations and Projects Name Date Institution
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
INTRODUCTION Systems engineering within the open and closed systems is methodological in design for technical management of projects and organizations. This approach to solving real issues is complex because it involves an analysis of general systems and their mechanization. Globally, the Systems Engineering Body of Knowledge (SEBoK) provides a strategy for effective engineering systems. This is an organized interdisciplinary approach to problem identification, design, and support systems for products, services and enterprises. Operating through principles, models and theories, SEBoK revolves around the life cycle processes and engineering practices. It combines knowledge, competencies, machines, people, and technology plus management elements. Therefore a systems thinking approach is a wide concept that requires a breakdown analysis of different stages using techniques and tools. It puts into consideration the customers, system users and its stakeholders. A system refers to a large unit made up of basic elements, units, objects, or variables from different subsystems. A systems approach to organization involves the interaction of these objects which have different attributes and behaviors. This essay looks at systems lifecycle management through engineering risks, organizational forms, structures, culture and the risk management tools. It looks at the environmental influences and how system contents influence the relevance of such systems in a project or an organization. ANALYSING LEADING INDICATORS General Systems Management Multinational companies suffer the effects of poor systems management caused by failed systems cycles(Ferreira & Behl, 2014, p. 105). For example, BP experienced a disaster in the Texas City explosion in which a large industrial explosion killed more than 500 people with
thousands suffering injuries. Negligence, poor safety measures and inadequate preventive strategies led to the failure of the structural system. General systems management in engineering provides a framework foundation for the engineering of such processes(Park, Seager, Rao, Convertino, & Linkov, 2013).The US Chemical Safety Board cited gaps in the interpretive systems approach and its analysis of the cause effect factors in the failed Texas City systems. In this incidence, the company did not have a holistic approach.Ferreira and Behl (2014) point out the importance ofmultiple stakeholders engaging in an analysis of individual elements in a system cycle. An example is the relationship between subsets in which companies cooperate in the realization of all measurable objectives. In the Texas City calamity, BP, Transocean and industry regulators in the region had a responsibility to prevent the three months oil spills across the gulf. A rigorous risk management plan would have analyzed all potential risks. Liao, Lezoche, Panetto, Boudjlida, & Lores (2015) use a survey to investigate the challenges in systems interconnections thereby identifying limitations in a lifecycle.In this analysis, strategic implementation using informed decisions defines the planning, execution and systems feedback modes. This is what natural risk management organizations continue to apply in order to protect the whole system(Milham, 2014). Higher performance in a system focuses on the optimization strategies that reduce on wastes and increase value. Indicators of effective systems approaches lie within the conceptualized model with its business, organizational and structural perspectives. Strategic Portfolio alignment Program and portfolio management of general systems includes an analysis of its process features within the element behaviors(Strasser, et al., 2015). This defines the change
management approach undertaken, new innovation used and the best action. Portfolio alignment brings out the strategic planning of processes in an innovative way to address effects caused by an interaction. In a business portfolio, it captures the artistic and scientific use of policies and objectives while balancing impending risks. In large systems mixing and matching strategies and objectives posses the biggest challenge. Using (SEBoK) project managers and companies guide the functional and structural operations in a system. The Texas City refinery disaster is a pointer to the significance of an effective hazard analysis methodology with tools for implementation plans in a lifecycle management process. Portfolio alignment is an analysis of multiple elements for strategic implementation in a common unit(Ferreira & Behl, 2014). For example, the adoption of an effective electronic office system requires an integrative approach in which people and technology play a crucial role(Bandarouk, Parry, & Furtmueller, 2017, p. 98). In the Deepwater Horizon oil spillage, the national commission analyzing its gaps highlighted offshore drilling from scientific findings from different sectors. Among them were specialists from the cultural, ecological and economic spheres. A multi-sector monitoring process working towards a common goal under one umbrellarequires a proper systems integration (Ferreira & Behl, 2014). SEBoK supports the inclusion of stakeholder requirements and verification processes. Lifecycle systems depend on support systems for implementation across different stages(Davies, Dodgson, & Gann, 2016). Organizational Structures In Australia and New Zealand the AS/NZS 15288 Systems engineering guides the systems lifecycle processes. This is a standard system thinking approach relevant for the context of a system. It addresses capability, lifecycle and quality factors for effective project and configuration. This is one way in which a system can respond to mishaps in its mechanisms
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
(Houston, et al., 2015). Complex disasters are hard to predict but the use of a stimuli gives a system a reliable reaction tool for immediate response leading to appropriate action. Multiplicity in a system creates different outcomes hence instability in a system may turn out to be chaotic. Systems theories enhance the predictability of a system through a system synchronizing the structural output. In a product lifecycle, information exchange and discovery transforms a system into a competent unit(Liao, Lezoche, Panetto, Boudjlida, & Lores, 2015, p. 30). Considering the characteristics of an emerging behavior within the feedback loops gives insight into the connections within the structural parts. This defines the best adaptation mode for any change in a systems element. Intervention levels in a systems framework like the Deepwater and Texas disasters depend on the effectiveness of a holistic outlook (Milhan, 2014: Dwivedi, et al., 2015). The underlying factors often contribute to the failure of a system. Researchers agree that managers should study the factors within multiple perspectives of a work system. Failure in an information system is subject to both the complex and multiple factor effects(Dwivedi, et al., 2015). Organizations in the Deepwater Horizon disaster identified gaps in the safety compliance processes including the electrical equipment. The integration of multiple elements starts with specific definition of types of elements and its processes. Organizations today continually adopt project management plans using new technologies for line managers. The systems approach guides the involvement of a multilevel plan with an end user support element(Ferreira & Behl, 2014). Monitoring the challenges through contextual factors in a complex project provides direction for in-depth development. A synthesis of the divergent areas into a single unit becomes effective if there is an overview of the affected units. The greatest challenge arises when a complex unit has to compress the relevant system into a common agenda through an innovative
and target transfer process. Change management in the wider spectrum calls for a positive influence. Engineering Risk Management Model engineering enhances the organizational structures, forms and the analysis of culture in a system. In an electric energy management system a digital risk management of cluster systems affects its wide scope management(Strasser, et al., 2015). SEBoK applies knowledge from the design, verification and validation operations for continuous improvement. The Deepwater Horizon disaster became uncontrollable because of mishaps in the model analysis of its engineering systems. From the context specific analysis, the engineering risk management of its unit design should have placed more emphasis on the design of the sub wells and drilling units(Milham, 2014). Prevention through process safety needs a monitoring system with technical personnel stationed across diverse units. Modeling systems that support decision making process involves appropriations that are in agreement with the organizational plans as well as industry models for safety.Bandarouk, Parry, & Furtmueller (2017, p. 125) suggest the use of a framework that supports the operational, relational plus the transformational strategies. A strategic ICT solution measured by its outcomes improves organizational departments. Company practices improve based on the adoption of the smart approaches such as model driven engireering within it lifecyle (Ferreira & Behl, 2014). Coherence in the relationships is an indicator of a functional model. The inability to reach the stipulated stakeholder objectives means a violation of SEBoK standards. Overarching failures of a business value through portfolio management looks at the process cycle. In an IT system, value creation across target organizations hence the need for a distinct systems configuration. Fleet management is one of the most common areas with large and highly diversified systems. A practical approach needs a
strategic plan with a comprehensive implimentation plan (Bakhshi, Ireland, & Gorod, 2016). A holistic cycle strategy provides an integrative model with technical and business capabilities. The business value Trends in business program management show case an evolution of practices through various strategies. The AS/NZS 15288 is a joint technical team standard, which stipulates guidelines for engineering standards(AS/NZS/ ISO/IEC/IEEE, 2015). It undergoes changes in order to present revised standards that harmonize different categories within the business value of a system. Covering the technical, project, enterprise and organizational agreement, portfolio management defines the stakeholder engagement. The Australian authorities prevent a recurrence of disasters like the Texas and Deep Water spillage in its region by incorporating a clear definition of systems framework models(Dwivedi, et al., 2015). Its architectural design process mitigates indirect losses that could arise in case of a disaster using an integrated design for a transition process. Of great interest is its validation process which ensures that the organization address environmental safety, maintenance and implementation processes (Olechowski, Oehmen, Seering, & Ben-Daya, 2016). Portfolio Management Process Cycle Portfolio management process cycle is relevant for engineering systems because of its management of functions in different phases(Siew, 2016).Some systems such as the construction models undergo a holistic cycle with tools used in measuring the existing and potential risks. Quantitative measures in an enterprise system feature in the initial stage, planning, execution and closing phases.Houston, et al (2015, p. 11)present a framework for an implementation process in a social media ICT system to note that information relay includes
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
warnings, signals and risk detection across different stages of engineering works.This occurs at different levels hence a proper framework provides information for the present and the future. Systems analytics support the business value of a supply chain for quality management in economic systems. Coordination of engineering subsystems throughout the whole system brings order through strategic implementation of outcomes(Bandarouk, Parry, & Furtmueller, 2017). Organizational maturity Sustainability is part of innovation and it enhances performance(Strasser, et al., 2015). Decision making in an advanced infrastructural systems requires organizational maturity. The blow out in the Deep Water crisis was due to the inability to weigh the successes and failures in a system(Dwivedi, et al., 2015, p. 150: Shortell, 2015). Better comprehension of the system, the risks and consequences of an action, plus its requirements creates a platform for change assessment planning. This is a channel for prioritization of clear objectives that have a better identification and modification process. The direct and indirect effects of the Deepwater Horizon oil spill describe a refinery without a proper hazard management plan(Campbell, Jardine, & McGlynn, 2016). In this case, people lost their lives and many suffered injuries. The company also faced massive financial losses through property damages. A systems thinking approach averts risks through an implementation plan that has a mechanism to quickly notice risks(Milham, 2014). The prolonged losses caused by compromised process safety raised questions about automatic systems that shutoff system, reduction of pressure on devices and effective mechanisms to control liquids and gases in case of an accident.
Dealing with company losses in a mature organization includes a continuous improvement process (Strasser, et al., 2015, p. 2539). Lifecycle support and the integration of systems within its interfaces is complex. SEBok has a matrix for implementation through portfolio alignment of the engineering systems. In practice examples, principles and practices come with shared responsibilities within the model based systems(Remington & Pollack, 2016). Modeling the complexity of a mega project through systems requires measures against risk factors across all parties involved. CONCLUSION Methods and techniques used in systems thinking depend on the existing strategies. An effective system is reliable and consists of a continuous improvement process to check its feedback mechanisms. A lifecycle systems approach addresses the present and futuristic challenges through a rigorous risk management plan or model. Strategic portfolio alignment of subsystems in a technology system starts with an interpretation of the complex scenarios in the systems thinking process. This depends on the general systems management, organizational structures, forms and culture. Business value management in engineering risks is an assessment of the linkages. Guided by existing standards or principles, organizations and projects thrive by overcoming failures within its processes and cycles. Mature organizations use the systems thinking processes with tools and techniques that support the successful implementation plans. These include user specific, organizational and technology oriented strategies.
REFERENCES AS/NZS/ ISO/IEC/IEEE. (2015).Australian/New Zealand Standard: Systems and software engineering-system life cycle processess. Bakhshi, J., Ireland, V., & Gorod, A. (2016). Clarifying the project complexity construct: Past, present and future.International Journal of Project Management, 34(7), 1199-1213. Bandarouk, T., Parry, E., & Furtmueller, E. (2017). Electronic HRM: four decades of research on adoption and consequences.The International Journal of Human Resource Management (1), 98-131. Campbell, J. D., Jardine, A. K., & McGlynn, J. (2016).Asset management excellence: optimizing equipment life-cycle decisions.CSR Press. Davies, A., Dodgson, M., & Gann, D. (2016). Dynamic capabilities in complex projects. The case of London Heathrow Terminal 5.Project Management Journal, 47(2), 26-46. Dwivedi, Y. K., Wastell, D., Laumer, S., Henriksen, H. Z., Myers, M. D., Bunker, D., et al. (2015). Research on information systems failures and successes: Status update and future directions.Information Systems Frontiers, 17(1), 143-157. Ferreira, S., & Behl, D. (2014). Systems Thinking: An analysis of Key Factors and Relationships.Procedia Computer Science, 104-109. Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Goldstein Hode, M., Halliwell, M. R., et al. (2015). Social media and disasters; a functional framework for social media use in disaster planning, response and research.Disasters 39, 1-22.
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
Liao, Y., Lezoche, M., Panetto, H., Boudjlida, N., & Lores, E. R. (2015). Semantic annotation for knowledge explicitation in a product lifecycle management context: A survey. Computers in Industry, 71, 24-34. Milham, R. (2014). Context-Aware Systems: A More Appropropriate Response System to Hurricanes and Other Natural Disasters.Procedia Computer Science, 21-26. Olechowski, A., Oehmen, J., Seering, W., & Ben-Daya, M. (2016). The professionalization of risk management: What role can the ISO 31000 risk management principles play? International Journal of Project Management, 34(8), 1568-1578. Remington, K., & Pollack, J. (2016).Tools for complex projects.Routledge. Siew, R. Y. (2016). Integrating sustainability into construction project portfolio management. KCSE Journal of Civil Engineering, 20(1), 101-108. Shortell, T. M. (2015).INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processess and Activities.John Wiley & Sons. Strasser, T., Andren, F., Kathan, J., Cecati, C., Bucella, C., Siano, P., et al. (2015). A review of architectures and concepts for intelligence in future electric energy systems.IEEE Transactions on Industrial Electronics, 4, 2424-2438.