European Journal of Scientific Research - EuroJournals
European Journal of Scientific Research - EuroJournals
European Journal of Scientific Research - EuroJournals
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Forecasting as a Strategic Decision-Making Tool: A Review and Discussion with<br />
Emphasis on Marketing Management 430<br />
particularly in product launch to a market. In such times forecasting has an ability to become a very<br />
major part <strong>of</strong> the decision-making process, in estimating different requirements, effects, conditions<br />
expected, and making assumptions.<br />
Companies may have different manufacturing strategies based on market conditions. Many<br />
strategic marketing decisions are mostly closely related and tied to production strategies in companies.<br />
In other words, what kind <strong>of</strong> marketing strategy (e.g. market leadership) a company should follow is, at<br />
large, based on its production strategies. Although ‘cost leadership’ is one <strong>of</strong> the highly desired<br />
production strategies in most companies, other sort <strong>of</strong> strategies such as ‘quality leadership’ can also be<br />
followed as the main strategy. For instance, the decisions regarding shifting from the cost leadership to<br />
quality leadership is considered to be a main strategic decision and should have a strong forecasting<br />
background.<br />
In theory, the purpose <strong>of</strong> a company’s manufacturing strategy should be to produce costcompetitive<br />
products that are sufficiently high in quality. The experience curve, the product-process<br />
life cycle, and the flexible manufacturing technologies are the three factors that require specific<br />
attention in creating cost competitive manufacturing. Companies may utilise a manufacturing system<br />
from among several including flexible and mass manufacturing systems with respect to their<br />
operational area, production schedule, etc. Regardless <strong>of</strong> the manufacturing system in use, cost<br />
minimisation 6 is the basic purpose probably for all companies. The contribution <strong>of</strong> forecasting comes<br />
into use, for instance, in increasing the utilisation <strong>of</strong> individual machines through better scheduling.<br />
The forecasts <strong>of</strong> the material requirements <strong>of</strong> each <strong>of</strong> the machines, operating times, and labour<br />
requirements needed to complete specific manufacturing processes in each step <strong>of</strong> manufacturing may<br />
be needed for maximising the (automatic) distribution <strong>of</strong> materials and labour times among machines.<br />
By doing so, it can significantly improve the efficiency <strong>of</strong> manufacturing processes and reduce the<br />
costs.<br />
Being different from the mass production schedule, the flexible manufacturing technologies<br />
allow companies to be highly responsive to unique customer demands and, at the same time, to<br />
compete on the basis <strong>of</strong> cost [Hill & Jones, 1992: 116]. Forecasting has lots to do especially in such<br />
circumstances like it can produce the estimates <strong>of</strong> the time and amount <strong>of</strong> specific customer demand so<br />
that it does not interrupt the usual manufacturing schedules due to the information about the patterns <strong>of</strong><br />
unique customer demand. Therefore, one <strong>of</strong> the basic contributions <strong>of</strong> forecasting to manufacturing<br />
process is to support the production schemes by producing and collecting data and/or information.<br />
Forecasting function, in this sense, plays an intermediary role between the production department,<br />
management department, and the market (customers). It provides the flow <strong>of</strong> data continuously and<br />
closes the time gap between the production time and the time <strong>of</strong> sale.<br />
Capacity Planning and Scheduling: Capacity planning generally refers to a long-term decisionmaking.<br />
Almost all businesses need to make long-term forecasts for planning new (plant) investments<br />
and equipment expenditures. Long-term forecasts may sometimes extend to a period <strong>of</strong> 5, 10, or 20<br />
years, depending on the life cycle <strong>of</strong> the equipments under consideration for installation. Capacity<br />
planning policies for growth firms 7 and mature firms are expected to be significantly different,<br />
depending on the forecasts <strong>of</strong> the sales and market potential (see McLaughlin, 1974: 4-60). In such<br />
cases where significant financial investments are considered, forecasting has a significant role in<br />
analysing various outcomes and evaluating whether or not to go for a significant amount <strong>of</strong> investment<br />
for capacity planning purposes. Such decisions are ‘strategic’ in this sense. For instance, while an<br />
investment decision to increase capacity based on the forecasts <strong>of</strong> market potential for product ‘A’ may<br />
provide good opportunities and competitive distinctions (e.g. a higher market share and cost<br />
6 The contribution <strong>of</strong> forecasting to lowering the costs can be in several ways including, but not limited to (1) saving from<br />
the storage costs related to products and raw material; (2) saving from the financial costs related to financial resources<br />
tied up to the raw material; (3) saving from labour costs due to the availability in planning labour force in advance.<br />
7 Businesses that are still in the rising phases <strong>of</strong> the S curve, not yet having reached saturation, are called ‘growth’ firms<br />
and those that are at the upper ends <strong>of</strong> the S curve are called ‘mature’ business.