An Analysis of National Bicycle Industrial Co.

Authors Avatar


Executive Summary

Mass customization theorizes that companies can develop, produce, market and deliver customized products and services on a mass basis.  Supporters of mass customization argue that this strategy allows a company the flexibility to meet the constantly changing demands of consumers, who continuously demand higher quality, lower priced products and services delivered in a relatively short amount of time, but which are also highly customized.  Most importantly mass customization implies that, by automating the customization process, companies can produce the custom good at costs competitive with standardized goods.  Proponents of mass customization point out that with this strategy, low costs are accomplished primarily through economies of scope rather than scale: "Economies of scope are realized by the application of a single process to produce a greater variety of products and services more cheaply and more quickly." (Joseph Pine II, author of Mass Customization: The New Frontier In Business Competition.)  

To achieve the goals of mass customization, a company must address major shifts in operating methods throughout the organization - engineering, manufacturing, and marketing - including the supply chain, with the creative use of automation and technology.  Companies such as Dell Computer, HP, Toyota, Levi Strauss and Lutron Electronics have employed this methodology to their production processes and have achieved a great deal of success.  Successful users of mass customization also realize the limitations unique to their own organizations, whether they are cultural or operational, and address the potential risks before fully implementing this strategy.

In the case of National Bicycle Industrial Company, Mitsuru Komoto, the new president of National Bicycle, was faced with reviving one of the “Big Three” of Japan’s bicycle industry.  National Bicycle was faced with deteriorating economics and to address this situation, Komoto was determined to adopt a mass customization strategy, which he called the Panasonic Order System (“POS”), to the high margin, sport bicycle segment of his company.   This paper will outline why we recommend implementing POS, and support Komoto’s decisions regarding this strategy.  Furthermore, we will provide our analysis of a plausible 3-week lead-time to offer their customers and mitigate the risks, such as component stock-outs and service issues, associated with our recommendation.

Situation Analysis and Options

Our analysis of the current situation facing National Bicycle centers around answering two key questions:

  1. Should National Bicycle implement the Panasonic Ordering System? This will be answered by evaluating the capabilities of the manufacturer, their cost structure, potential for payback, and market positioning of the POS.
  2. If they do decide to implement POS, what should their lead-time be? This question is crucial to the implementation, as it offers potential for value creation at the market level, and has dramatic effects on production and supply chain planning.

Costs

The first step of the analysis is to compare unit costs between POS & mass produced bikes.  The cost of producing and delivering a bike under POS is ~ 9.4% greater than under mass production. The key factors influencing the cost of the POS bikes include the doubling of labor costs and the elimination of carrying costs. Other factors that may influence the cost of the POS bikes include an increase in material costs due to paint, and increase in raw materials inventory due to carrying a wider selection of parts, and a reduction in SGA due to the elimination of unsold inventory and streamlined order processing. These changes in costs were assumed to offset each other, and therefore not included in the calculations.  The increase in costs is in line with Komoto’s proposed increase in price of 7%-15%, depending upon the number of colors chosen.  Detailed calculations are presented below.

Assumptions:

Retail Price = 100,000

Factory Price = (.70)*Retail Price = 70,000

Profit = (.05)* Factory Price

Carrying costs = (.18)*Cost

Transportation Costs = (.03)*Cost

SGA Expense = (0.0675)*Cost

Cost = Materials + Labor

Materials = (.70)*Cost

Labor = (.3)*Cost

Mass Produced:

Factory Price – Cost – Carrying costs – Transportation Costs – SGA Expense =  Profit

        70,000 – Cost - .18*Cost - .03*Cost - .0675*Cost = 3750

                66,250 = 1.2775*Cost

                Cost = 51,859 yen

Customized:

Assuming labor doubles (Yoshida)

Labor =(.6)*Cost

(.70)*Cost + (.6)*Cost = 1.3*Cost

Carrying Costs = 0, since no inventory goes unsold

Assuming material & SGA costs remain the same

Materials + Labor + Transportation Costs + SGA Expense = New Cost

.7*Cost +.6*Cost +.03*Cost + .0675*Cost = 1.3975*Cost

        1.3975*51,859 = 72,473 yen

% Change = (72,473 – 66,250)/ 66,250

        9.4 % increase in total costs

Possible problems with this analysis:

  • Labor may be greater than twice that on mass produced bikes
  • Material costs may increase due to extra paint
  • SGA may decrease because no inventory will be marked down

After comparing the unit cost differentials between POS and mass production, capacity and cost recovery issues must next be addressed.  First of all, dedicated POS employee hours must be estimated to determine if the company will be able to meet the expected demand during the peak season.  Given that the actual workday at the POS plant is 400 minutes, the workweek is five days long and there will be 23 technicians employed in the POS plant, the predicted worker capacity in a standard workweek is 766.67 hours.  Furthermore, assuming that peak season demand is 250 bikes per week, we conclude that the POS plant will have sufficient worker capacity to meet this peak demand being that 250 bikes requires a capacity of 750 worker hours in a given week (all calculations are show below in detail).

Join now!

Aside from determining if the POS plant will be able to meet capacity requirements, National Bicycle must also evaluate the feasibility of making a 300 million Yen investment in PP&E for the new plant.  The figures presented immediately following the capacity calculations detail the expected cost recovery period for the initial capital investment.  The final table presents the average (based on 1, 2 or 3 colors) profit, break-even units, and time to break-even in years given different standard retail prices of bicycles.  Moreover, the sales numbers are based on an average sales calculation for 1984 and 1985.  For example, ...

This is a preview of the whole essay