The Use of Fuzzy Numbers in Practical Project Planning and Control

Author(s):  
Dorota Kuchta
2010 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Ruth Murray-Webster ◽  
Sergio Pellegrinelli

Risk management practices as described in many leading texts feel counterintuitive to many practitioners and are frequently ignored, despite their being evidently logical and potentially valuable. Such practices are often conceived as a remedial post-planning, audit activity. This paper proposes an approach for dealing with project uncertainty and risk, grounded in economics and taking into account behavioural biases and heuristics. The proposed approach is argued to be an enhancement to conventional risk management practices and one that can serve organisations better while also aligning to experienced practitioners’ intuitive approaches. In particular, we argue: that the focus should be on adding economic value rather than reducing risk per se; that opportunity gain/loss is a superior metric for gauging potential impacts of risky events; and that creation of real options should be emphasised as part of the repertoire of generic response actions to risk. The approach also supports the integration and handling of uncertainty and risk as part of holistic project planning and control.


2013 ◽  
Vol 3 (2) ◽  
pp. 16-31 ◽  
Author(s):  
N. Ravi Shankar ◽  
B. Pardha Saradhi ◽  
S. Suresh Babu

The Critical Path Method (CPM) is useful for planning and control of complex projects. The CPM identifies the critical activities in the critical path of an activity network. The successful implementation of CPM requires the availability of clear determined time duration for each activity. However, in practical situations this requirement is usually hard to fulfil since many of activities will be executed for the first time. Hence, there is always uncertainty about the time durations of activities in the network planning. This has led to the development of fuzzy CPM. In this paper, a new approach of ranking fuzzy numbers using centroid of centroids of fuzzy numbers to its distance from original point is proposed. The proposed method can rank all types of fuzzy numbers including crisp numbers with different membership functions. The authors apply the proposed ranking method to develop a new fuzzy CPM. The proposed method is illustrated with an example.


1983 ◽  
Vol 34 (9) ◽  
pp. 918
Author(s):  
E. Ritchie ◽  
Albert Lester

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