Problem Set #4

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Purdue University *

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GM594

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Information Systems

Date

Dec 6, 2023

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docx

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5

Uploaded by ChancellorHeron3694

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Problem Set #4 #1 Six Sigma is a systematic methodology that minimizes defects and variations to enhance business processes, striving for near-perfect quality with less than 3.4 defects per million opportunities (DPMO) and a commitment to continuous improvement. (Sreedharan et al., 2018) Mathematical Representation: Six Sigma is calculated using the formula: σ = Number of Defects/Number of Opportunities for Defects Tools, Techniques, and Methods: 1. DMAIC Methodology: A structured approach that includes Define, Measure, Analyze, Improve, and Control phases. 2. Process Mapping: A visual representation that helps identify areas for improvement. 3. Statistical Process Control (SPC): Uses statistical methods to monitor and control processes. 4. Histograms: Graphical representations of data distribution. 5. Cause and Effect Diagram (Fishbone): A visual tool that helps identify potential causes of issues. 6. Pareto Analysis: Identifies and prioritizes significant contributing factors to a problem. 7. Regression Analysis: A statistical method that analyzes relationships between variables. 8. Control Charts: Graphical tools that help monitor and control processes over time.
Roles and Responsibilities: In the Six Sigma project, there are a few roles that contribute to the success of improvement initiatives. Executive Leadership, Champions, Master Black Belt, Black Belt, Green Belt, Project Team, and Process Owner each have their own responsibilities and duties. (Sreedharan et al., 2018) Eight Six Sigma Tools: 1. SIPOC (Supplier, Input, Process, Output, Customer): This tool helps to document and understand processes. 2. 5 Whys: This is an iterative questioning technique used for root cause analysis. 3. FMEA (Failure Mode and Effects Analysis) is a tool used to identify and evaluate potential failures and their impact. 4. Box Plot: This tool shows dataset distribution and spread. 5. ANOVA (Analysis of Variance): This tool identifies significant differences between groups. 6. Correlation Analysis: This tool examines relationships between variables. 7. Takt Time: This tool determines production pace to meet customer demand. 8. Kano Model: This tool helps to classify customer preferences for product development. These tools align with Six Sigma principles for quality improvement. (Gueorguiev, 2018) #2 Project Overview:
The assigned project focuses on implementing a new Internet security suite within the company. This initiative aims to strengthen the organization's cybersecurity infrastructure, addressing vulnerabilities and ensuring the protection of sensitive data from online threats. Positive and Negative Risks: Positive Risks: o Quick Adoption: There is a possibility that the new security suite will be quickly adopted by employees, resulting in an increased awareness of cybersecurity. Negative Risks: o Integration Challenges: Potential disruptions may occur when integrating the new security suite with existing systems. o Insufficient Training: Employees must receive sufficient training to avoid misuse of security features. (Secundo et al., 2021) Impact on Project Success/Failure: Quick Adoption: Although this is a positive development, it may lead to overconfidence and neglect of ongoing training and awareness. Integration Challenges: This could lead to project delays, increased costs, and compromised security. Insufficient Training: Effective employee training is needed to maximize the security suite's impact on cybersecurity. (DuHadway et al., 2017) Risk Mitigation and Management: Quick Adoption: Implement continuous training and awareness campaigns to ensure proper use of the security suite.
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Integration Challenges: Conducting thorough compatibility testing and implementing a phased integration plan to minimize disruptions is important. Insufficient Training: Design a detailed training program and make sure that all employees understand the security suites. (DuHadway et al., 2017) Role of Policy in Risk Management: Policies provide clear guidelines and standards for structured risk management. In risk management, the roles and responsibilities of individuals are defined to ensure accountability. Policies ensure compliance with legal and regulatory requirements, reducing legal risk. Policies that guide decision-making during risky events facilitate effective and consistent responses to potential challenges. (Policy Managment and Risk - a Critical Connection | Mitratech, 2021) In conclusion, the success of the Internet security suite implementation project relies on identifying, assessing, and strategically managing both positive and negative risks, guided by well-established policies. References and Citation DuHadway, S., Carnovale, S., & Hazen, B. (2019). Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery. Annals of Operations Research, 283(1–2), 179–198. https://doi.org/10.1007/s10479-017-2452-0 Gorbatov, V. S., Zhukov, I. Y., Kravchenko, V. V., & Pravikov, D. I. (2023). Functionality of the critical information infrastructure cybersecurity network. Bezopasnost Informa ionnykh ʹ t ͡ s︡ Tekhnologiĭ, 30(1), 27–39. https://doi.org/10.26583/bit.2023.1.02
Gueorguiev, T. (2018). Improving the Internal Auditing Procedure by Using SIPOC Diagrams. Journal of Innovations and Sustainability, 4(2), 35–43. https://doi.org/10.51599/is.2018.04.02.35 Indrawati, S., & Ridwansyah, M. (2015). Manufacturing Continuous Improvement Using Lean Six Sigma: An Iron Ores Industry Case Application. https://doi.org/10.1016/j.promfg.2015.11.072 Policy Managment and Risk - A Critical Connection | Mitratech . (2021, September 14). Mitratech. https://mitratech.com/resource-hub/blog/connection-risk-policy-management/ Secundo, G., Elia, G., Margherita, A., & Leitner, K.-H. (2022). Strategic decision making in project management: a knowledge visualization framework. Management Decision, 60(4), 1159– 1181. https://doi.org/10.1108/MD-02-2021-0196 Six Sigma Organizational Infrastructure Team Leadership. (n.d.). SixLeanSigma.com. https://www.sixleansigma.com/six-sigma-organizational-infrastructure-team-leadership.html Sreedharan V., R., Sunder M., V., & R., R. (2018). Critical success factors of TQM, Six Sigma, Lean and Lean Six Sigma: A literature review and key findings. Benchmarking : An International Journal , 25 (9), 3479–3504. https://doi.org/10.1108/BIJ-08-2017-0223