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1. Suppose the management wants to finish the project in 34 weeks. Which specific tasks do yourecommend crashing in order to achieve this milestone? What

1. Suppose the management wants to finish the project in 34 weeks. Which specific tasks do yourecommend crashing in order to achieve this milestone? 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.

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Bob Phillips. director of operations at B&W Systems, was put in charge of an important project. This assignment was the result of a recent B&W board meeting in which Grace Johnson, the vice-president of marketing. had presented a new product concept Forecasto. This cloud computing forecasting system was specically designed to meet the needs of small- and medium-sized organizations. Johnson indicated a price point in the $200 range. Her primary concern was timing. Specically. once the competition found out about the product there could be several additional entrants into this potentially lucrative market. The board meeting concluded with the chief executive ofcer tasking Phillips to look into the implementation of Forecasto in a timely manner and report his ndings to the board at the next meeting. BACKGROUND 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 specically for the new startup 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 (1P) relations {see Exhibit 1). Phillips planned to use existing soware 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 pan, 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 taskcrashing 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 he completed within the deadline of 35 weeks. Phillips knew that the board would want to know the minimtu'n 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 specic 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 signicantly. 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 teamed, 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. Exhibit 1 PROJECT DESCRIPTION AND TIME ESTIMATES (WEEKS) Task Description Most optimistic Most likely Most lP pessimistic A Requirements 2 3 4 - B Market assessment 4 7 10 A C Design 5 6 9 A D Development 6 7 16 C E Testing 7 9 10 D F Revising 4 5 6 BE G Documentation 3 6 10 D H Quality assurance 2 4 7 C,E | Pricing 2 2 2 B J Production 3 4 14 F.G.H.! K Distribution 2 3 4 J Source: Created by authors. Exhibit 2 PROJECT CRASH DATA Task Normal costs (S) Crash tlmo Mocks) Crash costs m A 10,000 3 10.000 B 20.000 6 25.000 0 15,000 5 30.000 D 45,000 6 65.000 E 10,000 6 20. 000 F 15,000 4 18. 000 G 20.000 4 30,000 H 10,000 3 15. 000 I 5.000 2 5.000 J 40.000 5 50.000 K 15,000 2 25. 000

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