No abstract

No abstract

Purpose: This research paper introduces an integrated employee scheduling problem that considers various real-life problems such as varying employee demand, different employee working conditions, and individual preferences regarding schedules.Design/methodology/approach: The proposed model, which is a combination of Analytic Hierarchy Process and Mixed Integer Linear Programming, is used to solve the problem with multi-dimensional objectivesFindings: Results show that the proposed model generates optimal and feasible solutions for weekly employee schedules.Originality/value: Many employee scheduling problems in literature are able to solve the employee scheduling problem to a large extent but still do not fully reflect current realistic organizational problems such as varying employee demand per hour inteval, different employee working conditions on disjoint shifts and breaks, and individual preferences regarding schedules all at the same time.

The Department of Defense (DoD) acquisition system is often challenged by schedule overruns that can be attributed to a complex acquisition process. This process drives great research interests in exploring intervention strategies that would help reduce program development delays. Recent studies indicate that policies that address (1) scope growth, (2) acquisition process variability and (3) program technology maturity should be investigated as they may have significant impact on reducing program completion time. However, quantitatively evaluating the impact of a new policy has been limited due to the lack of system models with appropriate fidelity. The application of a simulation model to address this challenge thus becomes a promising approach. In this research, we explore the benefits of the Enterprise Requirements and Acquisition Model, a discrete event simulation of the DoD acquisition system to quantitatively examine the temporal effects of scope growth, technology maturity, and decreased variation and means process times in post-Design Readiness Review contractor activities. The insights gained from the simulation experiments can potentially help formulate new policies to improve the complex DoD acquisition process.