Network Fundamentals

Network 1 is the simplest network-it means that Task A must be finished before Task B can be started. Network 2 indicates that Tasks C, D, and E must all be completed before Task F can be initiated. In Network 3, Task G must be finished before either Task H or I can be started. Network 4 is presented to note that some tasks have zero duration. For example. Tasks X and Y could be zero duration Start and Stop tasks. They are sometimes called dununy tasks their purpose is to simply show the beginning and end of the project. 

The most important aspect of a network is the connectivity or topology. Relative lengths of branches are irrelevant as is the overall orientation or relative position of tasks in the network. There are, in effect, an infinite number of ways that any network 

---

Moschytz, G.S. 1975. Linear Integrated Networks Fundamentals Van Nostrand Reinhold, New York. Moschytz, G.S. 1975. Linear Integrated Networks Design Van Nostrand Reinhold, New York. 

Using the CPM requires understanding network fundamentals. A network is two or more nodes representing interrelated tasks, where the tasks have positive or zero duration, connected by directional branches. Figure 6.3 presents examples of four simple networks. This chapter uses the task-on-a-node format. Another option is the task-on-an-arrow format. Networks are sometimes called precedence diagrams because they establish precedence relationships in that this task must be completed before that task can be completed or this task takes precedence, for the time being, over that task. ... 

CONSTRUCT A NETWORK The purpose of this exercise is to help you confirm your understanding of network fundamentals. Suggested tasks are ... 

M.W. Maddox, C.M. Lastoskie, K.E. Gubbins and N. Quirke, Simulation Studies of Pore Blocking Hysteresis in Model Porous Carbon Networks, Fundamentals of Adsorption Proceedings of the Fifth International Conference on Fundamentals of Adsorption, ed. M.D. LeVan, Kluwer Academic Publ., Boston, pp. 571-578 (1996). 

Basheer, LA. and Hajmeer, M. (2000) Artificial neural networks fundamentals, computing, design and application. Journal of Microbiological Methods, 43, 3-31. 

---