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Demand estimation

Cumene production follows the demand for phenol and its derivatives. In 1987, the U.S. cumene demand, estimated at 1.9 million metric tons, was supphed by about 1.8 million metric tons of domestic production imports made up the balance. Based on a trend from 1985 on, the demand is projected to increase at about 3% per year through 1995. [Pg.363]

Protect where... Enclosed Open Demand Estimate... [Pg.253]

In addition Blue Stream supply now is delayed because of disputes with Turkey which overestimated its demand estimates and tries now to reconsider contract terms. [Pg.144]

Despite the wider availability of experimental data in these nations, risk assessments for new substances often demand estimation of environmentally important parameters. For example, degradation and partitioning processes must be considered in environmental exposure assessments, but neither Henry s Law constant nor abiotic degradation processes such as hydrolysis and photolysis are included in the MPD. Only if a substance is not readily biodegradable may requirements for abiotic degradation testing be imposed. [Pg.7]

Once the proportion of cost increase that is passed on to customers is known, the impact on profits from a decrease in margins can be established relatively easily. The magnitude of this effect is given by the sensitivity of demand to price, the own-price elasticity of demand . Estimates of this elasticity are available in the economic literature. [Pg.36]

Metals Resources Reserves Production 1981 Cumulative demand estim. 1978—2000 Price in US/lb... [Pg.147]

Total Organic Carbon And Oxygen Demand Estimation... [Pg.131]

Multiple impellers are often used in gas-liquid operations. Assuming that the lowest impeller is used for the primary gas dispersion, the upper ones are not loaded by all the gas entering through the spar-ger F lo] Pqj. purpose of power demand estimation, it can be assumed that upper impellers experience about half the total gas rate. Correlations to estimate... [Pg.1137]

Figure 6.2 Carbon decomposition at Stiffkey, North Norfolk, UK (1990-1991) (Ruddy, 1993). (a) Organic carbon concentration with depth shows progressive steady state depletion due to decomposition, (b) Seasonal oxygen supply and demand estimated from modelling of carbon and sulphide oxidation rates. Figure 6.2 Carbon decomposition at Stiffkey, North Norfolk, UK (1990-1991) (Ruddy, 1993). (a) Organic carbon concentration with depth shows progressive steady state depletion due to decomposition, (b) Seasonal oxygen supply and demand estimated from modelling of carbon and sulphide oxidation rates.
To test for equilibrium conditions, the demand estimates for each major feedstock are compared with the supply quantity estimate obtained earlier. On the first iteration through this procedure, supply-demand mismatches possibly will occur for various feedstocks and at various time periods. These discrepancies indicate that the equilibrium feedstock prices have not been accurately estimated and that adjustments must be made. If the calculated demand for a particular feedstock exceeds the quantity available at the estimated feedstock price level, for example, then the estimated price is too low and should be adjusted upward. On the next iteration through the procedure, one of the effects of this adjustment will be to make a larger feedstock supply available, as determined by the appropriate biomass resource curve. Another effect will be to push the biomass product prices... [Pg.382]

Answer Under QR, the retailer observes a draw from the demand distribution. Depending on the value of this observed demand, ASSORT will adjust demand estimates as follows ... [Pg.2028]

Surveys by major retailers surest that service levels at various stores are around 70%. Thus one out of three customers does not find the item in stock at a store that carries it. Note that apparel SKUs refer to color, style, and size availability, which requires demand estimates of specific sizes at a location. From a supply perspective, if manufacturer deliveries are of a fixed assortment of product across sizes, then it is clear that any deviation from the average size mix can cause stockouts. Thus, stockout reductions may require coordination between a fiexible manufacture of varying sizes (driven by observed store sales) and careful retailer monitoring of inventory levels by size level demand and availability. The additional complication is the impact of fit preferences across customers, ranging from slim fit to loose, baggy fit choices. Such trend effects may add additional complexity to the problem of forecasting demand at the SKU level. [Pg.99]

In many computational codes, second derivatives are evaluated numerically (this is also the case of CRYSTAL). This evaluation requires high numerical accuracy in the determination of the total energy. In particular, the lattice deformations involved in calculating lattice constants, which generally reduce the local symmetry, make basis set flexibility (additional sp shells, polarization functions, and so on) necessary. Consequently, a good basis set for the determination of total energy and lattice parameters may be inadequate for the more demanding estimation of these second derivatives. [Pg.62]

In Aviv (2002a) we conducted a numerical study to analyze the three settings (LMI, SMI, and CFAR see 5), over a large set of system parameters combinations. For each specific vector of parameters, we used the cost assessment and optimization method to find the best average cost for the supply chain, under LMI, SMI, and CFAR. We found that when information about future demand is not collected periodically in the system (i.e., forecasts only rely on demand estimates that are known well in advance), the supply chain gains no benefits by providing the supplier with direct access to demand and inventory information at the retailer s level. We thus argue that the classic AR(1)... [Pg.440]

Year Period Actual Demand SI Deseasonalized Demand Estimate of Level (L) Estimate of Trend (T) Deseasonalized Forecast Actual Forecast... [Pg.48]

USDA-World Agricultural Outlook Board, World Agricultural Supply and Demand Estimates, various issues, 2002 (http //www.usda.gov/oce/waoh/wasde/wasde.htm). [Pg.1965]

World Agricultural Supply and Demand Estimates WASDE), Corn Refiners Association 2010 Annual Report, US Department of Agriculture, Washington,... [Pg.291]

E. Praet, V. Reuter, T. Gaillard, and J.L. Vasel. Bioreactors and biomembranes for biochemical oxygen demand estimation. Trends Anal. Chem., 14 371-378, 1995. [Pg.359]

Inflated orders During shortages or periods of allocations retailers will inflate their orders to ensure that they will receive supply proportional to the amount ordered. When the period of shortage is over they wUl revert back to standard orders further distorting demand estimates. [Pg.239]

We introduce a multi-objective model to decide the optimal FQHC locations considering population groups with different priorities. Demand is estimated based on current access and coverage status. Details of demand estimate are given in Griffin et al. (2014). [Pg.179]

L = estimate of level at t = 0 (the deseasonalized demand estimate during Period t = 0) T= estimate of trend (increase or decrease in demand per period)... [Pg.182]


See other pages where Demand estimation is mentioned: [Pg.11]    [Pg.838]    [Pg.839]    [Pg.264]    [Pg.7]    [Pg.11]    [Pg.165]    [Pg.142]    [Pg.134]    [Pg.53]    [Pg.363]    [Pg.269]    [Pg.106]    [Pg.111]    [Pg.24]    [Pg.545]    [Pg.549]    [Pg.400]    [Pg.463]    [Pg.298]    [Pg.201]    [Pg.206]    [Pg.199]    [Pg.284]    [Pg.286]    [Pg.287]    [Pg.288]   


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