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Processes operations hierarchy

Belton V (1986) A comparison of the analytic hierarchy process and a simple multi-attribute value function. European Journal of Operational Research 26 7-21... [Pg.211]

Fong CO, Srinivasan V (1981) The Multiregion Dynamic Capacity Expansion Problem, Part I. Operations Research 29 787-799 Forman EH (1990) Multi criteria decision making and the analytic hierarchy process. In Bana e Costa CA (ed) Readings in Multiple Criteria Decision Aid. Springer, Berlin et al., pp 295-318 Forman EH, Gass SI (2001) The analytic hierarchy process - an exposition. Operations Research 49 469-486... [Pg.219]

Lee S-B, Luss H (1987) Multifacility-Type Capacity Expansion Planning Algorithms and Complexities. Operations Research 35 249-253 Leskinen P (2000) Measurement Scales and Scale Independence in the Analytic Hierarchy Process. Journal of Multi-Criteria Decision Analysis 9 163-174... [Pg.228]

Millet I, Harker PT (1990) Globally effective questioning in the Analytic Hierarchy Process. European Journal of Operational Research 48 88-97... [Pg.230]

Saaty TL (1990a) Eigenvector and logarithmic least square. European Journal of Operational Research 48 156-160 Saaty TL (1990b) How to make a decision The Analytic Hierarchy Process. European Journal of Operational Research 48 9-26 Saaty TL (1986) Axiomatic Foundation of the Analytic Hierarchy Process. Management Science 32 841-855... [Pg.235]

Vargas LG (1990) An overview of the Analytic Hierarchy Process and its applications. European Journal of Operational Research 48 2-8 VCI (2006) Chemiewirtschaft in Zahlen. Verband der Chemischen Industrie e.V., Frankfurt am Main... [Pg.240]

Wu JA, Wu NL (1984) Analysing Multi-Dimensional Attributes for the Single Plant Location Problem via an Adaptation of the Analytical Hierarchy Process. International Journal of Operations Production Management 4 13-21... [Pg.243]

Fig. 21 (Bassett et al, 1994). Note that early applications of computer-based on-line optimization worked at the top levels of the process operations hierarchy, where decisions are made less frequently than at lower levels and, consequently, the limited speed, input/output, and storage capacity of early computers were not an impediment. The implicit assumption in this decomposition is that the aggregate of the individually optimal decisions will be close to the overall optimal decision at each point in time. Frequently, this is not the case. Therefore, there exists a strong incentive to establish a framework for the formulation and solution of optimization problems that integrate as many levels as possible above the chemical process level of the Process Operations Hierarchy (Prett and Garcia, 1988 Kantor et al, 1997). Fig. 21 (Bassett et al, 1994). Note that early applications of computer-based on-line optimization worked at the top levels of the process operations hierarchy, where decisions are made less frequently than at lower levels and, consequently, the limited speed, input/output, and storage capacity of early computers were not an impediment. The implicit assumption in this decomposition is that the aggregate of the individually optimal decisions will be close to the overall optimal decision at each point in time. Frequently, this is not the case. Therefore, there exists a strong incentive to establish a framework for the formulation and solution of optimization problems that integrate as many levels as possible above the chemical process level of the Process Operations Hierarchy (Prett and Garcia, 1988 Kantor et al, 1997).
Why is it not trivial to perform an integrated optimization, by merely combining the individual optimization problems at each level of the Process Operations Hierarchy to form a single optimization problem There are a number of reasons ... [Pg.195]

Engineering/Business concepts. Although engineering considerations dominate the lower levels of the Process Operations Hierarchy, business concepts emerge at the higher levels. Therefore, a variety of... [Pg.195]

Fig. 21. Process Operations Hierarchy in the chemical process industries. Fig. 21. Process Operations Hierarchy in the chemical process industries.
Software implementation. The complexity of the integrated optimization problem is exacerbated when implementation issues are considered. A unifying framework is needed that will allow both software and humans involved with various levels of the Process Operations Hierarchy to seamlessly communicate with one another in a decisionmaking process over time. [Pg.196]

Vargas, L. G. (1990), An Overview of the Analytic Hierarchy Process and Its Applications, European Journal of Operational Research, Vol. 48, pp. 2-8. [Pg.2082]

Hierarchy levels that include process, operation, and interaction descriptions... [Pg.1315]

With the application of analytic hierarchy process, the index of bid evaluation is quantized by means of constructing judgment matrix, which is convenient for the operation on computers. It provides scientific reference for better determining the final bid winner for the mine safety equipments with the reduction of the interference of the subjective factors. It also makes the decision-making proc-... [Pg.1233]

Control processes operate between levels to control the processes at lower levels in the hierarchy. These control processes enforce the safety constraints for which the control process is responsible. Accidents occur when these processes provide inadequate control and the safety constraints are violated in the behavior of the lower-level components. [Pg.81]

Hijes, F. Cartagena, J. 2006. Maintenance strategy based on a multicriterion classification of equipments. Reliability Engineering System Safety 91 444-451 Levary, R. Wan, K. 1998. A simulation approach for handling uncertainty in the analytic hierarchy process. European Journal of Operational Research 106 116-122... [Pg.571]

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See also in sourсe #XX -- [ Pg.22 ]

See also in sourсe #XX -- [ Pg.22 ]



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