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Service density

Demand Density Service Density Demand Distribution Servtoe Distribution ... [Pg.121]

The service density defined above and illustrated in Figure 6.6 is a real variable that describes the distribution of the corresponding random variable. The density as a function is not continuous because it has a point mass at s = 35, the available inventory in the example, because the service is always exactly s if the demand is at least s. As a result, the service level distribution jumps to the value 100% at 35 because with 100% probability the service is 35 or less. [Pg.121]

This section relates random services and random shortages to conditional demands as defined in Section 6.2.5. Conditional random service is the crucial quantity that has to be calculated when a safety stock level has to be determined. Conditional random service results from three quantities a demand density 5, an already ordered quantity r and an available inventory s. From these parameters we obtain two new densities, the conditional service density 5+,r,s and the conditional shortage density... [Pg.122]

Assume that S is a continuous demand density, r units are already ordered, and s is the available inventory. Then the corresponding conditional service density 5+,r,s is given by case 1, r > s ... [Pg.122]

The conditional service density derived from a continuous demand density is continuous almost everywhere but has one exceptional point which carries a discrete probability mass The probability that the whole inventory s goes to service is the integral of the conditional demand density from s to oo. In other words, the service is s if the demand is s or above. [Pg.123]

Max Typical Typical thermal conductivity, k(W/ra K) at various temperatures (K) service density ------------------------------------------------------.------------------------... [Pg.583]

In the second case, the nature of the transport system is such that it is either operating at its nominal capacity or not operating at all. So our simple model, with its triangular performance probability distributions, is not directly applicable. However, another simple approach to modelling the stochastic behaviour of a complex system that was presented in [2] can be used. The approach taken there was to characterise the service provided by the system by a single parameter, s, the Quality of Service (QoS), and to describe the stochastic behaviour of the service by means of a service density function, 9(5 ). [Pg.244]

In the present case the service parameter s takes on two values only, either 0 or 1, and the service density function, 9(5), is characterised by a single parameter, the unavailability, a, as follows ... [Pg.245]

Table 20. Calculated Crystal Densities and Releasable Energy Density for HEDCs and In-Service Explosives... Table 20. Calculated Crystal Densities and Releasable Energy Density for HEDCs and In-Service Explosives...
Low Density Gases. A fan may have to operate on low density gas because of temperature, altitude, gas composition (high water vapor content of the gas can be a cause of low density), reduced process pressure, or a combination of such causes. To develop a required pressure, the fan has to operate at a considerably higher speed than it would at atmospheric pressure, and hence it must operate much closer to top wheel speed. Bearing life is shorter, and the fan tends to vibrate more or can be overstressed more easily by a slight wheel unbalance. Abrasion of the blades from dust particles is more severe. Therefore, a sturdier fan is needed for low density gas service. [Pg.109]

Commodity chemical producers have varying records of performance in appHcations research. It is usually high on the priority Hst when the product is stiU evolving, eg, low density polyethylene in the late 1950s and early 1960s. In times of pinched profit margins, these services often have been dropped, sometimes to be reinstituted, especially if totally new uses appeared. [Pg.537]

Although it has been common practice to specify the pressure loss in ordinary valves in terms of either equivalent length of straight pipe of the same size or velocity head loss, it is becoming more common to specify flow rate and pressure drop characteristics in the same terms as has been the practice for valves designed specifically for control service, namely, in terms of the valve coefficient, C. The flow coefficient of a valve is defined as the volume of Hquid at a specified density that flows through the fully opened valve with a unit pressure drop, eg, = 1 when 3.79 L/min (1 gal /min) pass through the valve... [Pg.57]

Durability. Grass-like surfaces intended for heavy-duty athletic use should have a service life of at least eight years, a common warranty period provided by suppHers. Lifetime is more or less proportional to the ultraviolet (uv) exposure (sunlight) and to the amount of face ribbon available for wear, but pile density and height also have an effect. Color is a factor generally uv absorption is highest with red fabrics and least with blue. In addition, different materials respond differendy to abrasive wear. These effects caimot be measured except in simulated field use and controlled laboratory experiments, which do not necessarily redect field conditions. [Pg.534]

Materials of Construction. Glass has excellent corrosion-resistance to wet or dry bromine. Lead is very usefiil for bromine service if water is less than 70 ppm. The bromine corrosion rate increases with concentrations of water and organics. Tantalum and niobium have excellent corrosion-resistance to wet or dry bromine. Nickel has usefiil resistance for dry bromine but is rapidly attacked by wet bromine. The fluoropolymers Kynar, Halar, and Teflon are highly resistant to bromine but are somewhat permeable. The rate depends on temperature, pressure, and stmcture (density) of fluoropolymer (63). [Pg.288]

The mechanical design of the idler roUs is a function of the particular service under which the conveyor operates. Minimum industrial standards for roU dimensions, bearings, and appHcation criteria for different service conditions have been estabHshed (14). Idler life is deterrnined by a combination of factors such as bearings, seals, shell thickness, load density, and the operating environment. [Pg.154]

However, conductive elastomers have only ca <10 of the conductivity of soHd metals. Also, the contact resistance of elastomers changes with time when they are compressed. Therefore, elastomers are not used where significant currents must be carried or when low or stable resistance is required. Typical apphcations, which require a high density of contacts and easy disassembly for servicing, include connection between Hquid crystal display panels (see Liquid crystals) and between printed circuit boards in watches. Another type of elastomeric contact has a nonconducting silicone mbber core around which is wrapped metalized contacts that are separated from each other by insulating areas (25). A newer material has closely spaced strings of small spherical metal particles in contact, or fine soHd wires, which are oriented in the elastomer so that electrical conduction occurs only in the Z direction (26). [Pg.31]

Automated soldering operations can subject the mol ding to considerable heating, and adequate heat deflection characteristics ate an important property of the plastics that ate used. Flame retardants (qv) also ate often incorporated as additives. When service is to be in a humid environment, it is important that plastics having low moisture absorbance be used. Mol ding precision and dimensional stabiUty, which requites low linear coefficients of thermal expansion and high modulus values, ate key parameters in high density fine-pitch interconnect devices. [Pg.32]

Compared with brick, castables are less dense, but this does not really mean that they are less serviceable, as their cements can hydrate and form gels which can fill the voids in castables. Extra-large voids do indicate less strength regardless of filled voids and dictate a lower allowable gas velocity. If of the same density as a given brick, a castable wiU result in less permeation. [Pg.2478]


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See also in sourсe #XX -- [ Pg.121 ]




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Conditional service density

Service density function

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