Capacity planning

Uncertainty in value chain management is a key motivation to use simulation comparing different scenarios, e.g. of demand quantities and prices, in order to simulate capacity planning in the automotive industry (Eppen et al. 1989)... 

Eppen GD, Martin KA, Schrage L (1989) A Scenario Approach to Capacity Planning. OR Practice 37 (4) 517-527... 

Eppen, G.D., Martin, R.K., and Schrage, L. (1989) A scenario approach to capacity planning. Operations Research, 37, 517. 

K. Vlahos. Generalized cross decomposition Application to electricity capacity planning. Technical Report 200, London Business School, 1991. 

As Luss (1982, p. 935) points out, capacity planning in multi-facility networks is closely related to network design problems. 

For the EDs, bed space is a significant issue. Many hospitals have closed and the remaining EDs are at or exceed capacity. Plans to shift the existing patients and open beds must exist. Plans to address contaminated or damaged EDs must also exist (Chavez Binder, 1996). Ideas such as satellite EDs and alternate care sites must be considered and developed. For hospitals, similar plans are necessary. Specialized resources. 

Dimensionality. Each level in Fig. 21 is associated with a different time scale (over which decisions are made) that can range from split seconds, at the regulatory control level, to years, at the capacity planning and design level. The mere combination of individual level optimization problems into one big problem that would span all time scales would render the dimensionality of the latter unmanageable. 

In hardware sizing and capacity planning, two sources of data are used. The first is the server capacity, often given as a SPEC mark, or the time in which a standard set of procedures is executed. A less-accurate measure of computing capacity is processor speed in cycles per second. Memory size may play a role in some calculations. BLAST queries, for example, are limited by the fetches from the disk the rule is, the more memory the better. Optimally, the entire nonredundant GenBank database can be stored in memory rather than on disk. The second component of the capacity analysis is the computation load, modeled as a typical workload factors. 

During the scope development, do not forget to include process improvements into the capacity planning. Typical selection criteria during a formal evaluation of a CMO have the following priorities ... 

Downside risk This measure, introduced by Eppen etal. (1989) in the framework of capacity planning for the automobile industry, is an alternative and useful way of... 

Cheng, L., Subrahmanian E. and Westerberg A.W. 2004. Multi-objective decisions on capacity planning and production-inventory control under uncertainty, Ind. Eng. Chem. Res., 43, 2192-2208. 

EIA. 2002. Derivatives and Risk Management in the Petroleum, Natural Gas, and Electricity Industries. Energy Information Administration, October 2002. Available at http //www.eia.doe.gov. Eppen G.D, Martin R.K. and Schrage L. 1989. A scenario approach to capacity planning. Oper. Res., 37, 517-527. 

Levis A. A. and Papageorgiou L.G. 2003. Multisite capacity planning for the pharmaceutical industry using mathematical programming. Proceedings of the ESCAPE 13 Meeting, Lappeenranta, Finland, 1-4 June 2003. 

Planning activities supported by maintenance management include all forms of capacity planning, from manufacturing order release and shipment dispatching (where immediate and expected availa-bihty of equipment are important) up to long-term capacity planning (where facility age and statistical availability are important). 

CAPACITY PLANNING AND PERFORMANCE MANAGEMENT 5.1. Objectives of Capacity Planning... 

The following are resources to be designed by capacity planning to ensure that the C/S system performance will meet the service levels ... 

Capacity planning consists of the steps shown in Figure 14, which are essentially the same as those for capacity planning of general information systems. 

Workload modeling is the most crucial step in capacity planning. Misleading performance evaluation is possible if the workload is not properly modeled. 

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