Designing policies using a MIMO PID controller for correlated multiple-policy multiple-objective strategic planning. (c2014)

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dc.contributor.author Khalifeh, Joe
dc.date.accessioned 2015-02-10T10:38:48Z
dc.date.available 2015-02-10T10:38:48Z
dc.date.issued 2015-02-10
dc.date.submitted 2014-06-11
dc.identifier.uri http://hdl.handle.net/10725/1920
dc.description Bibliography: leaves 84-86. en_US
dc.description.abstract Strategic planning (SP) is the process of aligning an organization’s activities with its own vision and mission. Several strategic planning frameworks and tools were developed such as SWOC, Porter’s five forces and PEST analysis. So far the balanced scorecard (BSC), proposed by Norton and Kaplan, is the most consistent since it accounts for strategic measures in four major perspectives. Shaping relevant decision rules to meet the target measures associated with the BSC four perspectives becomes a multiple-policy multi-objective (MPMO) process. During the past four decades, there has been some development of analytical methods that can guide SP analysts in policy makings of large systems. Different policy design techniques are proposed that help in steering organizations towards meeting a target level. Designing policies is usually constructed as a set of single-policy single-objective subsystem where proportional and, at most, derivative feedback control is presented without taking into consideration the four BSC perspectives. In this thesis we consider a Master’s University, such as the Lebanese American University, as the organization. We associate the number of enrolled students, the academic reputation, student-to-faculty ratio and research productivity, and faculty recruitment and faculty development funds with the four BSC perspectives. The policies under consideration are number of faculty to be recruited, development funds to be dedicated to faculty at the associate professorial rank, and development funds to be dedicated to faculty at the professional rank. A 28th-order nonlinear state-space model is constructed in order to reflect the relevant system dynamics. A multiple-input multiple-output (MIMO) Proportional-Integral-Derivative (PID) controller is implemented for shaping the correlated three policies involved in this MPMO system. The associated ten-year target levels are set such that the university reputation is significantly improved, and the overall financial balance is considerably large in order to accommodate for capital expansion. Numerical simulations are included to illustrate the effectiveness of the proposed MPMO systematic approach. en_US
dc.language.iso en en_US
dc.subject Strategic planning en_US
dc.subject Organizational effectiveness -- Measurement en_US
dc.subject Input-output analysis en_US
dc.subject Education, Higher -- Evaluation en_US
dc.subject Lebanese American University -- Dissertations en_US
dc.subject Dissertations, Academic en_US
dc.title Designing policies using a MIMO PID controller for correlated multiple-policy multiple-objective strategic planning. (c2014) en_US
dc.type Thesis en_US
dc.title.subtitle A balanced scorecard approach en_US
dc.term.submitted Spring en_US
dc.author.school Engineering en_US
dc.author.idnumber 200601230 en_US
dc.author.commembers Wissam Fawaz en_US
dc.author.commembers Marc Haddad en_US
dc.author.woa OA en_US
dc.author.department MSE in Computer Engineering en_US
dc.description.physdesc 1 hard copy: xii, 86 leaves; ill.; 31 cm. available at RNL. en_US
dc.author.division Electrical Engineering en_US
dc.author.advisor Samer Saab en_US
dc.keywords Strategic Planning (SP) en_US
dc.keywords Balanced Scorecard (BSC) en_US
dc.keywords System Dynamics (SD) en_US
dc.keywords Multiple-input multiple-output (MIMO) en_US
dc.keywords PID Controller en_US
dc.identifier.doi https://doi.org/10.26756/th.2014.5 en_US

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