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Period forecast

It is important for firms to project their cash flow. This ensures that they will have funds on hand to pay their bills and their payroll and to invest in new projects. Cash flow is watched carefully by the finance department, because it is possible for a firm to make a profit on paper and still go broke because they do not have the cash needed to pay bills. When a firm invests in a new plant or new equipment, someone estimates the cash flow to calculate how the investment will influence the firm s ability to pay bills and dividends. In the example above the expenses were shown only as fixed or variable and the calculation was not concerned with the time period in which the expenses had to be paid. Likewise, the sales revenue was calculated on a per unit basis, but the sales may come at different time periods and some of the money for the sales may not be collected immediately. Based on historical records and contracts with suppliers and customers, the firm estimates its cash flow over the relevant time period. The cash flow analysis is shown in Table 3.1 for the example above. The cash flow analysis provides new information that the break-even analysis did not provide. It uses the period-by-period forecast to estimate when the firm will receive money and when it will pay out money. For the first seven months of the project the firm will have negative cash flow of 56,000. Then as sales pick up it will alternate positive and negative cash flows. Part of the reason for this is that revenue will be received 30 days after the product is sold, but the expenses to produce the product will be paid the month earlier. [Pg.48]

Multi-Period Forecasting under Constant Level... [Pg.51]

Multi-Period Forecasting with Seasonality and Trend... [Pg.53]

Period Forecast demand (based on iast period) Actuai demand Deviation ... [Pg.58]

Period Forecast Actual Deviation (forecast to actual)... [Pg.59]

Length of test period Forecast error as % of sales Total markdown cost and lost margin as % revenue... [Pg.123]

Keywords compressibility, primary-, secondary- and enhanced oil-recovery, drive mechanisms (solution gas-, gas cap-, water-drive), secondary gas cap, first production date, build-up period, plateau period, production decline, water cut, Darcy s law, recovery factor, sweep efficiency, by-passing of oil, residual oil, relative permeability, production forecasts, offtake rate, coning, cusping, horizontal wells, reservoir simulation, material balance, rate dependent processes, pre-drilling. [Pg.183]

In contrast to an oil production profile, which typically has a plateau period of 2-5 years, a gas field production profile will typically have a much longer plateau period, producing around 2/3 of the reserves on plateau production in order to satisfy the needs of the distribution company to forecast their supplies. The Figure 8.9 compares typical oil and gas field production profiles. [Pg.194]

Record keeping is an essential requisite of good market research. In the chemical field, call reports or visit reports are usually written by the interviewer and become part of the report in some cases and certainly should become part of the company or consultant files for future reference. Obviously, the call report serves a valuable purpose in the analysis and writing stage. Some market researchers have also found that cross-referencing call reports over a period of time allows rapid identification of the respondents who have demonstrated the greatest abiUty in forecasting their company needs and/or the needs of their industry. [Pg.535]

The way many companies identify resource requirements is to solicit resource budgets from each department covering a 1 to 5 year period. However, before the managers can prepare budgets they need to know what requirements they will have to meet. They will need access to the corporate plans, sales forecasts, new product development plans, marketing plans, production plans, etc. as well as the quality policies, objectives, and procedures. [Pg.128]

Electronic computers programmed with sophisticated statistical routines (e.g. variance spectral analysis) facilitate the search for climatic rhythms. The motivation behind this effort is obvious Isolation of real periodicities in climate would be a powerful tool in climate forecasting. However, climatologists have identified only a few statistically significant cycles that are useful for climate forecasting over decades. [Pg.382]

Production planning includes considerations on production objectives over a certain time horizon given marketing forecasts for prices and product demands, equipment availability, and inventories. This is a macrolevel problem of the allocation of production capacity, time, product inventories, and labour and energy resources, so as to determine the production goals that maximize the total profit over an extended period of time into the future (e.g. a few months to a few years). [Pg.506]

This is of great importance for dairy cows, as the indoor period may well last for more than half the year, and organic silage is almost impossible to purchase. It is still impossible to forecast weather conditions much... [Pg.39]

First of all the resulting forecast is calculated, which is initially the conditional random demand resulting from the forecast and the orders that were already received, as discussed in Section 6.2.5. It is then balanced with the current inventory resulting in a forecast of the production demand. There may be periods when... [Pg.130]


See other pages where Period forecast is mentioned: [Pg.409]    [Pg.165]    [Pg.111]    [Pg.51]    [Pg.52]    [Pg.52]    [Pg.128]    [Pg.58]    [Pg.67]    [Pg.409]    [Pg.165]    [Pg.111]    [Pg.51]    [Pg.52]    [Pg.52]    [Pg.128]    [Pg.58]    [Pg.67]    [Pg.308]    [Pg.791]    [Pg.439]    [Pg.479]    [Pg.492]    [Pg.220]    [Pg.261]    [Pg.384]    [Pg.852]    [Pg.313]    [Pg.450]    [Pg.156]    [Pg.216]    [Pg.256]    [Pg.1031]    [Pg.90]    [Pg.36]    [Pg.97]    [Pg.350]    [Pg.389]    [Pg.48]    [Pg.286]    [Pg.8]   
See also in sourсe #XX -- [ Pg.544 ]




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Forecast/forecasting

Forecasting

Forecasting for Multiple Periods

Forecasts

Multi-Period Forecasting under Constant Level

Multi-Period Forecasting with Seasonality

Multi-Period Forecasting with Seasonality and Trend

Multi-Period Forecasting with Trend

Period forecast base

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