Casestudy

Cost Model Analysis Helps Renowned Biomedical Engineering Client Create a Profitable Cost Mix

Author: Associate Vice President, Marketing and Procurement Strategy, SpendEdge.

Case Study Overview

Client Industry Solution
Biomedical engineering firmBiotechnologyCost model analysis solution to understand direct and indirect costs

Overview of the Biotechnology Industry

The biotechnology industry is experiencing significant growth driven by increasing food demand and the limited availability of non-renewable resources. Favorable regulatory scenarios have prompted biomedical engineering and biopharma manufacturing companies to invest heavily in research and development (R&D) and applications, enhancing service levels and business efficiency. Key trends shaping the market’s future include the emergence of biosimilars in the pharmacies and pharmaceutical industry, the expanding use of biotechnology in medical services, and the growing patient population.

Business Challenges Faced by a Client

A prominent client in the biomedical engineering market sought to understand market trends and develop a precise cost model to negotiate with formulation suppliers effectively. The client aimed to gain insights to determine fair market pricing and ensure maximum profitability. Additionally, the firm wanted to compare outsourcing options with in-house capabilities and evaluate potential costs and revenues from completing the project.

  • Market insight and trend analysis: The client wanted to understand relative market trends to inform strategic decision-making.
  • Cost model development: Developing an accurate cost model was crucial for effective supplier negotiations and maximizing profitability.
  • Outsourcing vs. in-house evaluation: The client needed to compare outsourcing options with in-house capabilities to determine the most cost-effective approach.

Methodology Adopted by SpendEdge

To address the client’s specific challenges, the procurement experts at SpendEdge conducted comprehensive research, including stakeholder interviews and data collection from reliable industry sources such as trade shows, paid industry databases, and company presentations. This research involved:

  • Market insight and trend analysis: Understanding recent market trends, including the growing emphasis on personalized medicine, advancements in biotechnology, increased regulatory scrutiny, and rising demand for cost-effective solutions. This trend analysis also covered shifts in global supply chain dynamics, emerging technologies such as AI and automation in manufacturing, and the impact of sustainability initiatives. This insight informed strategic decision-making by highlighting opportunities and risks in the evolving market landscape
  • Cost model development: Developing an accurate cost model by identifying key cost drivers, including raw materials, components, labor, other charges, construction setup, and operational costs. Primary research was conducted to determine fair market costs, and internal modeling was utilized to calculate the per-unit cost. This process enabled the client to compare market prices for units sourced from manufacturers versus producing in-house, facilitating strategic decision-making
  • Outsourcing vs. in-house evaluation: Comparing outsourcing options with in-house capabilities to determine the most cost-effective approach

This methodology ensured that the client gained valuable insights to optimize their cost structure and make informed decisions on sourcing and production strategies.

Strategic Solutions

To address these challenges, biomedical engineering and biopharma manufacturing companies are increasingly using cost model analysis solutions. These solutions help:

  • Identify key cost elements: By pinpointing the main cost drivers, companies can better understand and manage their expenses
  • Assess the impact of cost drivers: Analyzing the influence of each cost driver on overall expenses facilitates more strategic decision-making in assessing the Cost of Goods Sold (COGS)
  • Bridge resource utilization gaps: Companies can identify inefficiencies and enhance resource use to improve business performance
  • Optimize the supply chain modeling: Implementing advanced supply chain strategies can reduce costs, improve efficiency, and ensure a steady flow of materials and products
  • Outsourcing vs. in-house strategy output: The client was provided with a comprehensive analysis comparing the costs and benefits of outsourcing versus maintaining in-house capabilities. It was suggested that the client outsource non-core manufacturing and formulation processes to specialized suppliers that could perform these tasks more cost-effectively and with higher efficiency due to their expertise and economies of scale. For critical and proprietary processes that are central to the client’s competitive advantage, it was recommended to keep these operations in-house. This would ensure better control over quality and intellectual property, as well as faster response times for innovation and process improvements.

Growth Factors for the Biotechnology Industry

Growth Factors for the Biotechnology Industry

Regenerative therapies:

The market is buoyed by numerous companies developing regenerative therapies, indicating strong growth potential

Biosimilars:

These are expected to play a crucial role in the industry’s expansion, offering more affordable alternatives to existing biologics

Biotechnology in medicine:

Increased application of biotechnology in medical services is transforming healthcare delivery and outcomes

Challenges Faced by the Biotechnology Industry

  • Biopharma product development: Intense competition makes product development costly and time-consuming. Companies must innovate to reduce uncertainties in the product development cycle and ensure quality. The uncertainty of new product success necessitates a focus on consistency and operational cost reduction
  • Contract manufacturing: Outsourcing to reduce capital and operational costs introduces quality control issues. Adhering to stringent regulatory norms becomes challenging, complicating the production processes
  • Supply chain: The industry faces challenges related to supply chain management, including fluctuations in raw material availability and production disruptions. Effective supply chain strategies are essential to mitigate these risks and ensure seamless operations

Recent Developments in the Biotechnology Industry

  • Food demand and resource scarcity: The industry’s growth is closely linked to the rising demand for food and the scarcity of non-renewable resources, driving innovation and investment
  • Favorable regulations: Supportive regulatory frameworks have encouraged increased investment in R&D, fostering innovation and efficiency in service delivery
  • Biosimilars market: The introduction of biosimilars is expected to significantly reduce healthcare costs and improve access to essential medicines
  • Regenerative medicine: Continued focus on developing regenerative therapies highlights the industry’s commitment to advancing healthcare

The biotechnology industry is thus poised for sustained growth, driven by innovation, strategic cost management, and a favorable regulatory environment. However, biomedical engineering and biopharma manufacturing companies must navigate the challenges of product development and quality control to capitalize on the market’s full potential.

Outcomes of the Cost Model Analysis

SpendEdge’s cost model analysis solution enabled the biomedical engineering firm to understand direct and indirect costs, intangible costs, opportunity costs, and the financial impact of potential risks. This analysis also allowed the client to account for all direct and indirect revenues and tangible benefits, ultimately helping them achieve the most cost-effective mix.

Outcome of the Analysis

Direct and indirect costs:

The analysis provided insights into both direct and indirect costs, including intangible and opportunity costs

Risk impact:

Evaluated the cost impact of potential risks, allowing for more informed decision-making

Revenue and benefits:

Included all direct and indirect revenues and tangible benefits to achieve the lowest cost mix

Strategic negotiations:

Enabled the client to negotiate effectively with suppliers by understanding fair market pricing

Informed decisions:

Assisted in comparing outsourcing options with in-house capabilities to optimize project costs and revenues

Conclusion

With our assistance, the biomedical engineering client successfully negotiated strategies to secure low-cost raw material sourcing, significantly reducing their production expenses. The client adopted in-house operations for all critical processes to ensure quality and control. Additionally, the client was able to accurately forecast future costs and develop advanced cost model technologies, empowering their customers to better manage and optimize their cost structures. These improvements not only enhanced the client’s operational efficiency but also provided valuable tools for their customers, fostering stronger business relationships and driving mutual success.

FAQs

A cost model analysis in biomedical companies is a strategic tool used to identify and evaluate the main cost drivers influencing production and operational expenses. It enables companies to understand the impact of each cost element on the overall cost of goods sold (COGS), facilitating more informed and strategic decision-making. By pinpointing inefficiencies, this analysis helps enhance resource utilization and improve business performance.

A cost model analysis benefits biomedical companies by providing detailed insights into their cost structure, helping them identify and manage key cost drivers. This understanding allows for more strategic decision-making, improving the efficiency and effectiveness of operations. Additionally, it highlights areas for cost reduction and resource optimization, ultimately enhancing profitability and competitive advantage.

Data analytics plays a crucial role in biomedical cost model analysis by providing accurate and comprehensive data on cost drivers and operational efficiency. It enables companies to identify patterns, trends, and inefficiencies within their processes, leading to more informed and strategic decision-making. Additionally, data analytics helps in forecasting costs and optimizing resource allocation, ultimately improving overall business performance.

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