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Overview of pmBLOX
Published in J. Chris White, Robert M. Sholtes, The Dynamic Progress Method, 2016
J. Chris White, Robert M. Sholtes
Unlike other project management tools you may have used, in pmBLOX, the Gantt chart does not automatically update. You will need to run the DPM simulation to get an updated Gantt chart. At the bottom of the pmBLOX application is a docked window titled “Simulation Controller.” This is where you run the simulation. Notice that the document title shows the name of your newly created document (e.g., Project Model 1). If you have multiple project plans open, you can control which you wish to simulate by selecting it from the list of open projects and clicking the “Run” button. If you had not saved your file previously, you will be prompted to save your new project plan prior to running the simulation. For our example, we will name the file “Example 1.” After saving the file, the simulation runs, displaying the results that are shown in Figure 7.5.
Managing Vehicle Development Programs
Published in Vivek D. Bhise, Automotive Product Development, 2017
A Gantt chart is a type of bar chart (with horizontal bar segments on a time scale) that illustrates activities in a project or a program schedule. Figure 12.2 illustrates a Gantt chart of a product program. It provides a visual diagram of all the activities in the program on a time scale. A Gantt chart illustrates the start and finish dates of all elements or activities in a project or a program. Some Gantt charts also show the dependency (i.e., precedence network) relationships between activities. Gantt charts can be used to show the current schedule status as percentage complete by using shades of patterns of different densities or colors.
Project management
Published in Andrew Greasley, Absolute Essentials of Operations Management, 2019
Although network diagrams are ideal for showing the relationship between project tasks, they do not provide a clear view of which tasks are being undertaken over time and particularly how many tasks may be undertaken in parallel at any one time. The Gantt chart provides an overview for the project manager, to allow them to monitor project progress against planned progress, so it provides a valuable information source for project control.
Makespan minimization for scheduling on two identical parallel machiens with flexible maintenance and nonresumable jobs
Published in Journal of Industrial and Production Engineering, 2021
Ya-Yong Chen, Pei-Yu Huang, Cheng-Jun Huang, Shen-Quan Huang, Fuh-Der Chou
Assume that a set of nonresumable jobs is to be scheduled on two identical parallel machines (M1 and M2). Let denote the processing time of job. Let and be the set of jobs on the machine M1 and M2, respectively. The total processing time of all jobs is denoted S. All the jobs are available at time zero. The flexible preventive maintenance discussed in this paper means that the continuous processing time of the machine or the age of the machine cannot exceed the maintenance threshold T, and we assume that for all jobs. The maintenance time is denoted t. No preemption of operations is allowed. A set of jobs between any two consecutive PMs is referred to as a batch, and the total processing time of a batch must be less than or equal to T. The performance criterion of this problem is to minimize . According to the standard machine scheduling classification [15], the problem being addressed is denoted P2. The Gantt chart of a schedule of this problem is shown in Figure 1.
Design and implementation of a digital twin application for a connected micro smart factory
Published in International Journal of Computer Integrated Manufacturing, 2019
Kyu Tae Park, Young Wook Nam, Hyeon Seung Lee, Sung Ju Im, Sang Do Noh, Ji Yeon Son, Hyun Kim
Table 3 illustrates the information flow when the MSF synchronizes the production schedule to be performed later. MBOM reflecting the customer value through interaction between the customer and engineers is transferred to extract the supply-chain plan information, as shown in (3, a), while the supply chain information derived from this MBOM is provided to the process-design/planning application, as shown in (3, b). Further, the advanced planning and scheduling algorithm in the application was used to save the schedule in the process-plan/schedule database. This stored schedule has a Gantt-chart-type information structure and schema. Based on this information, synchronization was performed for the decision-making support of the production plan for a specific event in the future among the three kinds of events of the time-machine approach.
Decoding methods for the flow shop scheduling with peak power consumption constraints
Published in International Journal of Production Research, 2019
Consider an encoded solution (, π), where and . If the power consumption constraints are not considered, the Gantt chart of the solution is shown in Figure 2. To be specific, Job 2 is processed first, and then job 5, job 4, job 6, job 1 and job 3 are processed in turn. The real processing time of job j on machine i is the standard time divided by the speed vj,i. For example, the real processing time of job 3 on machine 3 is p3,3= t3,3/v3,3 = 12/1.5 = 8. Thus, the completion time of the schedule in the Gantt chart is 186. With the Gantt chart, the power consumption along with time can be calculated. For example, at time t = 30 in Figure 2, machine M1 runs at speed 1 when processing job 4. Meanwhile, machine M2 runs at speed 1 when processing job 5 and machine M3 runs at speed 2 when processing job 2. Thus, the power consumption at time t = 30 is Q(t = 30) = q4,1,1 + q5,2,1 + q2,3,2 = 9 + 9 + 16 = 34. However, this schedule is infeasible since its peak power consumption is Qm = 34, which exceeds the peak power threshold Qmax = 22. Therefore, a special rule to handle the peak power constraints should be used together with a decoding method to obtain a feasible schedule.