Project Management Life Cycle (PMLC) Models 1-Introduction (Wysocki‚ 2012‚ p321) stated ‘the project management/projects landscape is based on two characteristics‚ goal and solution’ in complexity and uncertainly classification on the project. There are five (5) (MPLC) models to classify and mange of the projects. Linear and incremental in Traditional Project Management (TPM) approach. Iterative and Adaptive in Agile project management (APM) approach. Extreme in Extreme Project Management
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cycle (PMLC) model is a sequence that is made up by the five process groups - Scoping‚ Planning‚ Launching‚ Monitoring & Control and Closing‚ and it’s used for achieving the goal of a project. In handling a project using a PMLC model‚ the entire process group must be present at least once in a sequence‚ and any or all of the process groups‚ may be repeated as required (Wysocki‚ 2009:299). To be analysed comparatively here are two different type of PMLC model- Adaptive PMLC model and Extreme PMLC model
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There are five PMLC model. They are: LINEAR PMLC MODEL (Flynn‚ 2007‚ p.5) The Linear PMLC model allows projects to be completed in a relatively short period of time with relatively inexperienced team member. (University of Liverpool/Laureate Online Education‚ 2011). The linear project life cycle model is employed to a project when goals and solutions are clearly defined (Wysocki‚ 2010). According to Wysocki (2009)‚ the risks and mitigating strategies associated with the linear PMLC are as follows:
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“quadrants” adopting 5 PMLC models: § TPM: Linear and Incremental § APM: Iterative and Adoptive § xPM and MPx: Extreme Each type of the 5 PMLC models is expected to encounter various risks and failure factors. The PM should asses the risks associated with each model‚ to decide the most convenient approach. Linear PMLC Model This model is the simplest among the illustrated models‚ since the 5 process groups are expected to occur once in the entire PMLC within the planned sequence
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The five PMLC models according to Wysocki are as follows: 1. Linear PMLC model 2. Incremental PMLC model 3. Iterative PMLC model 4. Adaptive PMLC model 5. Extreme PMLC model Linear PMLC Model: This is one of the Traditional Project Management (TPM) method‚ it consist of the five process group‚ each performed once in the sequence: Scoping> Planning > Launching > Monitoring and Controlling> Closing. The final deliverable is not released until the closing process group is executed. (Wysocki‚ 2009:345)
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VULNERABILTY OF 5 PMLC MODELS AND MITIGATION STRATEGY There are five Project Management Life Cycle (PMLC) models for managing different types of Projects but all of them follows the five process groups namely – scoping‚ planning‚ launching‚ monitoring and control and close out phases for sequencing the tasks. The difference lies only in the looping of these process groups depending on the complexity of the Project. The weakness of these models and mitigating strategies are discussed as follows
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Mapping the six (6) questions to basic Process Groups of the PMBOK methodology. According to Wysocki (2012‚ p.25) ‘Project management is a set of tools‚ templates‚ and processes designed to answer the following six questions: What business situation is being addressed by this project? What do you need to do? What will you do? How will you do it? How will you know you did it? How well did you do it?’ Wysocki (2012‚ p.64) also added that; ‘In addition to answering the six questions that a valid
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Iterative Deepening A-star (IDA*) Kent Benedict Clapano Earl Karlo Mationg Contents ● Prerequisites ● Description ● Algorithm ● Example ● Analysis ● Applications ● References Iterative Deepening A-star (IDA*) CSC 171 – Introduction to AI 1 Prerequisites ● Iterative Deepening Depth-First Search ● A* algorithm Iterative Deepening A-star (IDA*) CSC 171 – Introduction to AI 2 Description Iterative Deepening A* is a graph traversal and path search algorithm that can find the
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an essay on the following topic: "Discuss cultural differences as they exist in American and Vietnamese culture and suggest some ways to overcome them." CONTENT The difference of culture impacts so much to the way to living‚ the way of thinking and the way of doing business. America and Vietnam have a big difference in culture‚ religion and business. However‚ we live in a world where it is called flat world‚ where there is no restriction between countries. It requires us to integrate in order to
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accuracy. But‚ in many applications where accuracy is prime criteria they have drawbacks This thesis presents a simple and efficient multiplier with the possibility to achieve an maximum accuracy with less area and low power Consumption through an iterative procedure and recursive logic. The multiplier is based on the same form of number representation as Mitchell’s algorithm‚ but for error correction it uses different algorithm proposed by Z. Babic‚ A. Avramovic ‚ P. Bulic. And to make it more
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