A Note on Simulating Predecessor-Successor Relationships in Critical Path Models
CPM simulation, directed graphs, ordered networks, circuitry designs, logical flows
Abstract
For any n entities, we exhaust all possible ordered relationships, from rank (or the highest number of connections in a linear chain, comparable to matrix rank) 0 to (n -1). As an example, we use spreadsheets with the "RAND" function to simulate the case of n = 8 with the order-length = 3, as from a total of 10000 possibilities by the number of combinations of selecting 2 (a pair of predecessor-successor) out of 5 (= card{A, B, C, D} + 1) matchingdestinations followed by an exponentiation of 4 (= 8 -card{A, B, C, D}). Since the essence of this paper is about ordered structures of networks, our findings here may serve multi-disciplinary interests, in particular, that of the critical path method (CPM) in operations with management. In this connection, we have also included, toward the end of this exposition, a linear algebraic treatment that renders a deterministic mathematical programming for optimal predecessorsuccessor network structures.
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Donald Conant (2018) Examining critical and near-critical paths: an Excel-based classroom exercise. 93(6), 285-291.
W Winston, S Albright (1997) Practical Management Science Spreadsheet Modeling and Applications. 49(1), 93-98.
T Sing, J Ooi, A Wong, P Lum (2006) Network connectivity and office occupiers' space decision: the case of Suntec City. 24(3), 221-238.
Ascensión Martínez, Ramón Galván, Tomás Palacios (2013) Study of factors influencing knowledge transfer in family firms. 9(4), 1216-1238.
T Iryo, H Mori, H Kitaoka, M Ishida, Y Asakura (2012) Traffic flow model of network simulators for estimation of CO. 46(3), 290-301.
Yu Cheng (1996) Optimal train traffic rescheduling simulation by a knowledge-based system combined with critical path method. 4(6), 399-413.
Alicia Sendrowski, Paola Passalacqua (2017) Process connectivity in a naturally prograding river delta. 53(3), 1841-1863.
Jörg Keller, Thomas Rauber, Bernd Rederlechner (1999) Scalability Analysis for Conservative Simulationof Logical Circuits. 9(3), 219-235.
A Mahmood, J Herath, J Jayasumana (1994) An Improved Data Flow Architecture for LogicSimulation Acceleration. 2(3), 259-265.
K Karol, B Andrea (2003) Development of control system by Studgard neural network simulator. 8(4), 217-219.
K Kiran, P Maneeth (2015) 14 TIME-COST OPTIMIZATION OF A PROJECT TIME-COST OPTIMIZATION OF A PROJECT. 5, 189-198.
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2021-04-16
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