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Make to Stock (MTS): Decoding the Strategy with Examples and Tips

Last updated 03/28/2024 by

Bamigbola Paul
Summary:
Discover the ins and outs of make-to-stock (MTS), a traditional production strategy aligning inventory with anticipated consumer demand. learn the benefits, drawbacks, and alternatives to this method, along with a detailed example from a renowned manufacturer.

Understanding make-to-stock (MTS)

Make-to-stock (MTS) is a conventional production strategy employed by businesses to synchronize inventory with anticipated consumer demand. unlike other approaches, MTS doesn’t involve setting a production level and then attempting to sell goods. instead, companies using MTS estimate potential product orders and supply enough stock to meet those orders.

How make-to-stock (MTS) works

The MTS method relies on accurate demand forecasts to determine optimal stock levels. this strategy proves efficient when demand can be reliably estimated. however, the challenge lies in the accuracy of these forecasts.
In practice, MTS prepares companies for fluctuations in demand by creating future demand forecasts based on historical data. yet, even a slight forecast error can result in either excessive inventory, impacting liquidity, or insufficient inventory, leading to unmet profit potential.
Furthermore, implementing an MTS approach necessitates periodic operational redesigns instead of maintaining a steady production level throughout the year. these adjustments can incur additional costs, which companies must either pass on to consumers or absorb themselves.

Challenges and considerations

The typical unpredictability of the economy and business cycles makes MTS challenging, especially in sectors experiencing cyclical or seasonal sales cycles. the strategy becomes even more complicated when a business operates in an industry prone to rapid changes, such as electronics or computer technology.

Alternatives to make to stock (MTS)

Alternatives to MTS, such as make-to-order (MTO) and assemble-to-order (ATO), aim to avoid the downsides associated with inaccurate forecasts. MTO begins production after receiving a valid customer order, while ATO strikes a balance between MTS and MTO by constructing basic parts in advance but assembling the final product upon receiving a valid order.

Example of make-to-stock (MTS)

Manufacturing companies, like the renowned LEGO Group, often use the MTS method to prepare for periods of high production. for instance, in anticipation of increased demand during the holiday season, LEGO might produce a higher quantity of toys in advance based on past data and forecasted consumer demand.
In contrast, MTO would only increase production in response to a customer order, while ATO might prepare basic parts but delay final assembly until a valid order is received. this mitigates the risk of inaccurate demand forecasts as both the manufacturer and the retailer share this risk.

Pros and cons of make-to-stock (MTS)

Weigh the risks and benefits
Here is a list of the benefits and drawbacks to consider.
pros
    • ability to produce inventory based on anticipated consumer demand.
cons
    • dependent on accurate demand forecasts; an error can result in excess or insufficient inventory.
    • requires periodic operational redesign, incurring additional costs.

Applications of make-to-stock (MTS)

Make-to-stock (MTS) finds applications in various industries where demand forecasting plays a crucial role. for instance, in the fashion industry, clothing retailers often use MTS to prepare for seasonal trends. by analyzing past data and predicting consumer preferences, they can stock up on the latest trends, ensuring they have the right inventory to meet customer demands during specific seasons.

Example in the fashion industry

Consider a clothing retailer preparing for the winter season. using the MTS strategy, the retailer examines past winter sales data, anticipates the demand for winter clothing, and adjusts their inventory accordingly. this proactive approach allows them to have the latest winter fashion items in stock, meeting customer needs and maximizing sales during the seasonal peak.

Example in the electronics sector

Electronics manufacturers, such as smartphone producers, also leverage the MTS approach. suppose a smartphone company analyzes its sales data and predicts an increase in demand for a new model during the holiday season. using MTS, the company can ramp up production in advance to meet the expected surge in consumer orders, ensuring availability and capitalizing on the holiday shopping spree.

Strategies for improving make-to-stock (MTS) accuracy

Ensuring the accuracy of demand forecasts is paramount for the success of the make-to-stock (MTS) strategy. companies can implement specific strategies to enhance forecast accuracy and optimize their production processes.

Data analytics and machine learning

Utilizing advanced data analytics and machine learning algorithms can significantly improve the accuracy of demand forecasts. by analyzing vast sets of historical data and considering various influencing factors, companies can make more informed predictions, reducing the risk of excess or insufficient inventory.

Collaborative forecasting with suppliers

Establishing collaborative forecasting processes with suppliers fosters better communication and information exchange. when suppliers are involved in the forecasting process, they gain insights into upcoming demand, enabling them to adjust their production schedules accordingly. this collaborative approach minimizes the chances of misalignment between supply and demand.

Conclusion

Make-to-stock (MTS) is a versatile production strategy with both benefits and challenges. while it allows companies to align their inventory with anticipated consumer demand, the accuracy of demand forecasts becomes crucial for its success. businesses must carefully weigh the pros and cons, considering alternatives like make-to-order (MTO) and assemble-to-order (ATO). As industries evolve, the effectiveness of MTS may vary, making it essential for businesses to stay agile in their production strategies.

Frequently asked questions

What are the main challenges companies face when implementing the make-to-stock (MTS) strategy?

Companies may encounter challenges in accurately forecasting consumer demand, which can lead to either excess inventory or insufficient stock. Additionally, the periodic operational redesigns required by MTS may pose financial challenges.

How does make-to-stock (MTS) differ from other production strategies like make-to-order (MTO) and assemble-to-order (ATO)?

MTS focuses on creating stock based on anticipated consumer demand, while MTO starts production only after receiving a customer order, and ATO strikes a balance by constructing basic parts in advance but assembling the final product upon order receipt.

What industries commonly apply the make-to-stock (MTS) strategy, and why?

Industries such as fashion, electronics, and seasonal goods often apply MTS to align inventory with anticipated demand. This strategy is particularly beneficial for products with predictable seasonal trends.

How can companies mitigate the risks associated with inaccurate demand forecasts in the make-to-stock (MTS) strategy?

Companies can enhance forecast accuracy by utilizing data analytics and machine learning. Collaborative forecasting with suppliers can also minimize misalignment between supply and demand, reducing the impact of forecast errors.

What are the key takeaways for businesses considering the make-to-stock (MTS) strategy?

Businesses should understand that MTS aligns inventory with anticipated consumer demand, but its effectiveness relies heavily on accurate demand forecasts. They must carefully weigh the benefits and drawbacks, considering alternatives like MTO and ATO, and stay adaptable as industry dynamics evolve.

Key takeaways

  • Make-to-stock (MTS) aligns inventory with anticipated consumer demand.
  • Accurate demand forecasts are crucial for the effectiveness of MTS.
  • Challenges include the risk of excess or insufficient inventory and periodic operational adjustments.

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