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What is the estimated completion time for this project? What is the estimated budget? What is the probability that the critical path can be completed

  1. What is the estimated completion time for this project? What is the estimated budget? What is the probability that the critical path can be completed in 38 weeks?
  2. What is the minimum expected time in which this project can be completed?
  3. Suppose the management wants to finish the project in 34 weeks. Which specific tasks do you recommend crashing in order to achieve these miles? What is the additional cost for reducing the project time to the required 34 weeks? You should list the order of activities to be crashed, the duration of the crash, and the additional cost.
  4. What is the impact on the crashing solution if task D can start 1 week before task C is finished?
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Exhibit 1 PROJECT DESCRIPTION AND TIME ESTIMATES (WEEKS) Task Description Most optimistic Most likely Most IP pessimistic Requirements 4 Market assessment 10 Design 9 Development 16 Testing 10 D NONNWAVOUIAN XL-IOTMOODD Revising BE Documentation D Quality assurance CE Pricing B Production F,G,H,I Distribution Exhibit 2 PROJECT CRASH DATA Task Normal costs ($) Crash time (weeks) Crash costs ($) 10,000 10,000 20,000 25,000 15,000 30,000 45,000 65,000 10,000 20,000 XL-IOTMOODD 15,000 NONWA A CO OUT OF WO 18,000 20,000 30,000 10,000 15,000 5,000 5,000 40,000 50,000 15,000 25,000BACKGROUND B& W Systems designed and distributed a variety of management software products through the Internet and retail outlets like Best Buy. The company was considering the development of an Internet-based forecasting system. This system was designed specifically for the new start-up and small business owner. Phillips, after consulting with the technical staff and reviewing historical efforts, had developed the task descriptions, time estimates and immediate predecessor (IP) relations (see Exhibit 1). Phillips planned to use existing software components during the development phase as a means of keeping project costs and the overall time frame within bounds. Nevertheless, multiple task time estimates were formulated due, in part, to the inherent uncertainties associated with software development. B& W's management team had established a 35-week completion time for this effort. A preliminary assessment by Phillips indicated that some of the project tasks would need to be shortened to meet the management deadline of 35 weeks. Accordingly, the project manager had prepared a set of task-crashing estimates (see Exhibit 2). Phillips knew that this was an important project to manage and that he would have to do a thorough analysis for the board. He needed to estimate the completion time and budget for the project. Furthermore, he knew that he would need to determine the probability that the project could be completed within the deadline of 35 weeks. Phillips knew that the board would want to know the minimum expected time in which the project could be completed and the probability of completing the project in this time. In addition, Phillips wanted to assess the additional costs for reducing the project time to the required 35 weeks, and which specific tasks could be crashed to achieve this milestone. He thought that there could be some potential issues that might cause the market assessment to take longer than expected. Phillips wanted to investigate the impact on the crashing solution if the expected time for task B (market assessment) was increased from seven to nine weeks. He had thought of an idea that could decrease development time significantly. Therefore, Phillips also wanted to see the impact on the crashing solution if the expected time for task D (development) was decreased to seven weeks. The management team would certainly want to see the crashing cost function at the next board meeting, so Phillips had to produce that as well. He was curious to discover whether or not the crash cost curve was non-linear. Phillips had taken a course on project management in business school. He was eager to use some of the techniques he had learned, such as the Program Evaluation and Review Technique (PERT), project crashing and linear programming, to do the analysis on this project. He only had one week to complete the analysis, thus he was eager to get started

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