COVID-19 Case Study Competition
The case study must illustrate Lean Six Sigma, Supply Chain and/or Logistics concepts that review current Covid-19 pandemic. The goal is to develop statistical analysis of conditions globally and determine if difference exists between countries. In additional model curve and determine time frame to “Flaten Curve” for particular country or region. The case study will allow the participant students to gain awareness, knowledge and critically demonstrate the application of DMAIC strategy or optimization to resolve complex processes. In particular, participant students will:
- Develop an understanding of utilizing a structured methodology to problem solve complex integrated processes
- Gain insight into driving critical decision points in problem-solving based on data instead of opinion(s) or emotion(s)
- Compare and contrast different solutions and make a suggestion on improvement action(s) with the maximum payoff.
You/your team are/is requested to focus on a specific country or region of your choice that has been significantly impacted by Covid-19 pandemic. Six Sigma encompasses tools to make statistical comparison between population samples. It contains has methodology to perform predictive analysis.
You/your team have/has been tasked to resolve a complex global concern. Applying the DAMIC process teams must provide statistical analysis of Covid-19 pandemic. Depending on the selected approach to address the concern different tools will be employed throughout DMAIC process to narrow Key Process Input Variables (KPIVs) that are driving unacceptable output(s). The report must also incorporate the following minimum requirements:
- Problem Statement
- Critical to Satisfaction (CTS)
- Process Map
- Baseline Performance Metric
- Key Source of Variations
- Validation of Key Varation Source (Turn ON/OFF Concern)
- Actions to Sustain Improvement
The analysis of the concern utilizing DMAIC process must include only tools necessary to resolve the concern. The focus should concentrate on a clear and minimalistic path to resolving the concern.
You/your team are/is free to follow any research, data collection and or analysis methodology that you/your team consider the most appropriate to address the required task.
A report of no more than 5,000 words submitted to IEOM Istanbul Conference. The deadline for the submission of the report is January 31, 2022. No submissions will be accepted beyond that date. You/your team are/is free to format and structure the report in any form you/your team consider it most appropriate. The only consideration that must be taken is to make sure that the case study is addressed in a thorough manner and clearly communicated through the report. Other requirements include:
- Submissions could be as individuals or a team of 2-3 members maximum.
- All participants should be current undergraduate, postgraduate or recent graduate students.
- The Lean Six Sigma case study must be solved completely by the team members.
- Submission must be within the deadlines and no late submissions will be accepted.
Finalist teams will be invited to participate in a live virtual competition. Further information will be provided to the finalist teams.
- Good and effective report’s presentation
- Clearly and effectively structured and communicated report
- Demonstration of a clear understanding of supply chain and logistics challenges within the context of humanitarian missions
- Clear demonstration of the application of supply chain and logistics theory, concepts, methods and/or tools to solve complex supply chain and logistics issues in humanitarian missions
- Clear demonstration of the use of effective analytical and technical skills to solve supply chain and logistics challenges
- Clear demonstration of knowledge and skills to formulate and develop an implementation plan for a supply chain and logistics strategy
- It will be published in the IEOM 2022 Istanbul proceedings. Please follow the template: http://ieomsociety.org/paper-istanbul2022.docx
- Wortman, B. (2010). Quality Council of Indiana. The Quality Engineer Primer, 24.
- Saso Krstovski, Adjunct Professor, Lawrence Technology University (email@example.com)
- Hayder Zghair, Adjunct Professor, Lawrence Technology University (firstname.lastname@example.org)
- Ahad Ali, Associate Professor and Director of Industrial Engineering Program, Lawrence Technology University, Southfield, Michigan, USA (email@example.com)
- Submit your paper online – https://www.xcdsystem.com/IEOM/abstract/index.cfm?ID=YGN5iSP
- Prepare case study in MS Word.
- Do not add page number.
- Follow the exact format.
- Please contact competition chairs for any questions, Dr. Saso Krstovski at firstname.lastname@example.org and Dr. Hayder Zghair at email@example.com.