Reactive project scheduling is an important branch of under uncertainty. This paper proposes a resource-constrained multi-project reactive problem (RCMPRSP) with new arrival to minimize the adjustment cost baseline schedule while achieving deterministic goal. Although RCMPRSP aims cost, it adds constraint ensure that one schedules shortest possible make-span after arrival. Therefore, and can bo...

This paper reviews compact continuous-time formulations for the multi-mode resource-constrained project scheduling problem. Specifically, we first point out a serious flaw in an existing start-end-event-based formulation owing to inconsistent mode choices. We propose two options formulate missing constraints and consider equivalent reformulation with sparser constraint matrix. Second, aggregate...

The scheduling problem under study may be viewed as an extension of the standard Multi-mode ResourceConstrained Project Scheduling Problem (MRCPSP) including Multi-Skilled Labor and will be called as MRCPSP-MS. This problem requires an integration of resource limitation, labor skills, and multiple possible execution modes for each task, and the objective is to minimize the overall project durat...

The software project scheduling (SPS) is a project-scheduling problem where limited human resources are assigned to the tasks in multi-team settings. Besides other dynamic events, employees experience evolution has direct influence completing large-scale projects within budget and time. In this paper, new SPS model developed as multi-objective optimization problem, which incorporates with their...

compared to conventional chlorination methods which apply chlorine at water treatment plant, booster chlorination has almost solved the problems of high dosages of chlorine residuals near water sources and lack of chlorine residuals in the remote points of a water distribution system (wds). however, control of trihalomethane (thm) formation as a potentially carcinogenic disinfection by-product ...

During material handling processes, automated guided vehicles (AGVs) pose a path conflict problem. To solve this problem, we proposed multi-objective scheduling model based on total driving distance and waiting time, used the A* planning algorithm to search shortest of AGV. By using speed control strategy, were able detect overlap time. Additionally, adopted an efficient MapReduce framework imp...

The optimization of bus scheduling is a key method to improve service. So, the purpose this paper address regional public transportation dispatching problem, while taking into account association between departure time buses and waiting passengers. A bi-objective model for established minimize total cost passengers maximize comprehensive service rate buses. Moreover, NSGA-II algorithm with adap...