QSO 520 Final Project Guidelines And Rubric Overview

1qso 520 Final Project Guidelines And Rubricoverview The Final Projec

The final project for this course involves creating an executive brief that demonstrates competency in utilizing data and management science techniques to inform managerial decision-making. The project emphasizes data-driven decisions that help organizations grow, adapt efficiently, and satisfy stakeholders amid dynamic economic and market challenges. Using the Rougir Cosmetics International case study, students will analyze organizational issues, perform data analysis—including linear programming and sensitivity analysis—and develop strategic recommendations. The project progresses through three milestones: problem statement (Module Three), data analysis (Module Five), and recommendations with future forecasts (Module Seven), culminating in a final comprehensive executive brief (Module Nine). The final deliverable should be 10–12 pages in APA format, include at least three scholarly references, and incorporate an Excel spreadsheet of calculations.

Paper For Above instruction

Introduction

The complexities faced by organizations in a competitive global economy demand effective decision-making grounded in data analysis and management science techniques. The Rougir Cosmetics International case study exemplifies such challenges, including supply chain disruptions, production inefficiencies, and fluctuating market demands. Addressing these issues requires not only a thorough understanding of internal and external factors impacting the organization but also the strategic application of analytical tools to formulate viable solutions. This paper provides a comprehensive executive brief capturing the essence of the case, analyzing pertinent data, and proposing informed strategies to optimize production, enhance supply chain resilience, and forecast future demand.

Problem Statement

External challenges impacting Rougir Cosmetics International include volatile raw material supply costs, international market competition, and regulatory fluctuations affecting product approvals. These external pressures threaten the organization's ability to maintain profitability and market share. Internally, the company struggles with supply chain inefficiencies, vendor reliability issues, and suboptimal production scheduling resulting from limited visibility into vendor performance and resource constraints. Stakeholders emphasize the need for an integrated approach to optimize production processes while managing external market pressures.

The management’s goals focus on improving production efficiency, reducing costs, and ensuring a reliable supply chain to meet customer demand. Achieving these objectives requires strategic alignment of internal operations with external market realities, emphasizing agility and responsiveness.

To synthesize these challenges and goals, a SWOT analysis reveals strengths such as a recognized brand and product innovation capabilities, but highlights weaknesses like vendor dependency and operational bottlenecks. Opportunities exist in expanding into new markets and leveraging technological advancements, while threats include raw material price volatility and intense competitor activity.

Based on this evaluation, the core problem statement emerges: "Rougir Cosmetics International must optimize its production scheduling and supply chain operations to mitigate external market volatility and internal inefficiencies, thereby enhancing overall operational resilience and competitiveness."

Data Analysis

Calculating labor stages and material requirements for each product involved mapping production processes and resource allocations, ensuring alignment with demand forecasts. Utilizing Excel-based linear programming models, the analysis identified optimal production quantities while respecting capacity constraints and minimizing costs.

A summary table consolidates these findings, showing the recommended production quantities, associated costs, and resource utilization metrics. This table serves as a blueprint for scheduling and resource planning.

The production schedule was developed by analyzing demand data and production lead times to determine what, when, and how much to produce. This schedule aims to balance capacity constraints with market requirements, reducing waste and stockouts.

A sensitivity analysis using decision trees evaluated how variations in product costs—affected by raw material prices, labor, and transportation—would impact profitability. Bar graphs visually depict potential cost fluctuations, enabling stakeholders to understand risk exposure and pricing strategies.

Recommendations and Future Outcomes

Forecasting analysis projected future demand based on historical sales data, market trends, and economic indicators. This forecast guides strategic decision-making about inventory management, capacity planning, and marketing efforts.

Strategically, recommended actions include diversifying supplier bases to reduce dependency, investing in process automation, and enhancing communication channels with vendors for prompt response to disruptions. These strategies aim to create a more flexible and resilient supply chain.

Further, adopting advanced analytics for ongoing demand forecasting and real-time production monitoring will facilitate continuous improvement and rapid adaptation to market changes.

The anticipated outcomes of these strategies include increased production efficiency, reduced costs, improved supply chain reliability, and enhanced market responsiveness, positioning Rougir Cosmetics for sustainable growth.

Executive Summary

This executive brief synthesizes the critical challenges faced by Rougir Cosmetics International and provides strategic recommendations driven by rigorous data analysis. External market pressures, coupled with internal operational inefficiencies, threaten the organization’s profitability and growth. Through detailed calculations, production scheduling, and sensitivity analysis, this report identifies key bottlenecks and proposes actionable solutions to optimize resources and mitigate risks.

Forecasting future demand confirms the need for adaptable production planning and supplier diversification. Implementing the recommended strategies—such as automation, supply chain diversification, and advanced analytical tools—will bolster the company's resilience, reduce costs, and enhance competitiveness. Defending these strategies involves demonstrating their alignment with organizational goals of cost leadership, market expansion, and operational excellence, ultimately ensuring long-term stakeholder value and organizational sustainability.

References

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