Research Requirements – Operations Management Project (Huawei Case Study)
Budget: $50 – $80 USD
Please find below the detailed requirements for the Operations Management group project. The selected company is Huawei Technologies Co., Ltd., and the focus of the report will be:
“AI-Based Demand Forecasting within Huawei’s Supply Chain and Its Impact on Sustainability.”
The project must strictly follow the rubric and include the following components:
1. Operational Challenge (2–3 pages) – 3 Marks
Analyze a specific operations management challenge related to:
Demand forecasting challenges within Huawei’s global supply chain, including:
• Volatile global demand for telecom equipment and smartphones
• Forecast inaccuracies leading to overproduction or stock shortages
• Market uncertainty due to geopolitical and regulatory restrictions
• Rapid product life cycles and technological obsolescence
Use credible sources such as annual reports, sustainability reports, and reliable industry publications.
2. Application of Digital Technologies (2–3 pages) – 4 Marks
Explain how Huawei applies digital technologies to address forecasting challenges within its supply chain, including:
• Artificial Intelligence (AI) and machine learning models
• Big Data analytics for demand prediction
• Cloud-based supply chain management systems
• Real-time data integration and digital platforms
Clearly show the link:
Operational Problem → Digital Solution → Operational Improvement
Include diagrams, process maps, and flowcharts to illustrate the forecasting and supply chain process.
3. Sustainability Impact (2–3 pages) – 4 Marks
Provide a critical analysis of the sustainability impact of AI-based demand forecasting:
Economic Impact
• Reduced inventory costs
• Improved production planning
• Lower operational risk
Environmental Impact
• Reduced overproduction
• Lower electronic waste
• Optimized resource utilization
Social Impact
• Workforce digital transformation
• Increased transparency and decision-making accuracy
Discuss both benefits and potential drawbacks. Support all arguments with evidence and data.
4. Research Gaps (1–2 pages) – 3 Marks
Identify research gaps related to:
• Accuracy of AI forecasting models under high uncertainty
• Measuring sustainability performance in digital supply chains
• Ethical and governance challenges in data-driven forecastin
Report Requirements
• 7–10 pages maximum
• Proper technical report structure
• 12-point font
• Include team member details and project purpose
• Use graphical tools and figures
• Proper citation and reference list
Presentation Requirement
After completing the research and final report, a structured presentation must also be prepared summarizing:
• The operational challenge
• Digital technologies applied
• Sustainability analysis
• Research gaps and key findings
The presentation should be professionally designed and suitable for individual delivery
Please ensure the analysis is structured, analytical (not descriptive only), and supported by credible academic and industry sources
.
Deliverables
• A fully referenced report (Word or PDF) that addresses all rubric criteria
Both pieces must be original, thoroughly proofread, and aligned with the guidance I provide. If you have extensive experience in engineering research writing and can translate complex technical content into clear, compelling outputs, let’s get started.
“AI-Based Demand Forecasting within Huawei’s Supply Chain and Its Impact on Sustainability.”
The project must strictly follow the rubric and include the following components:
1. Operational Challenge (2–3 pages) – 3 Marks
Analyze a specific operations management challenge related to:
Demand forecasting challenges within Huawei’s global supply chain, including:
• Volatile global demand for telecom equipment and smartphones
• Forecast inaccuracies leading to overproduction or stock shortages
• Market uncertainty due to geopolitical and regulatory restrictions
• Rapid product life cycles and technological obsolescence
Use credible sources such as annual reports, sustainability reports, and reliable industry publications.
2. Application of Digital Technologies (2–3 pages) – 4 Marks
Explain how Huawei applies digital technologies to address forecasting challenges within its supply chain, including:
• Artificial Intelligence (AI) and machine learning models
• Big Data analytics for demand prediction
• Cloud-based supply chain management systems
• Real-time data integration and digital platforms
Clearly show the link:
Operational Problem → Digital Solution → Operational Improvement
Include diagrams, process maps, and flowcharts to illustrate the forecasting and supply chain process.
3. Sustainability Impact (2–3 pages) – 4 Marks
Provide a critical analysis of the sustainability impact of AI-based demand forecasting:
Economic Impact
• Reduced inventory costs
• Improved production planning
• Lower operational risk
Environmental Impact
• Reduced overproduction
• Lower electronic waste
• Optimized resource utilization
Social Impact
• Workforce digital transformation
• Increased transparency and decision-making accuracy
Discuss both benefits and potential drawbacks. Support all arguments with evidence and data.
4. Research Gaps (1–2 pages) – 3 Marks
Identify research gaps related to:
• Accuracy of AI forecasting models under high uncertainty
• Measuring sustainability performance in digital supply chains
• Ethical and governance challenges in data-driven forecastin
Report Requirements
• 7–10 pages maximum
• Proper technical report structure
• 12-point font
• Include team member details and project purpose
• Use graphical tools and figures
• Proper citation and reference list
Presentation Requirement
After completing the research and final report, a structured presentation must also be prepared summarizing:
• The operational challenge
• Digital technologies applied
• Sustainability analysis
• Research gaps and key findings
The presentation should be professionally designed and suitable for individual delivery
Please ensure the analysis is structured, analytical (not descriptive only), and supported by credible academic and industry sources
.
Deliverables
• A fully referenced report (Word or PDF) that addresses all rubric criteria
Both pieces must be original, thoroughly proofread, and aligned with the guidance I provide. If you have extensive experience in engineering research writing and can translate complex technical content into clear, compelling outputs, let’s get started.