Browsing by Author "Mitchell, Victoria L."

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    Cooperative Planning, Uncertainty, and Managerial Control in Concurrent Design
    (Informs, 2007-03) Nault, Barrie R; Mitchell, Victoria L.
    We examine whether cooperative planning and uncertainty affect the magnitude of rework in concurrent engineering projects with upstream and downstream operations, and explore the impact of such rework on project delays. Using survey data from a sample of 120 business process (BP) redesign and related information technology (IT) development projects in healthcare and telecommunications, our results indicate that upstream (BP) rework and downstream (IT) rework is mediated and mitigated by cooperative planning through upstream/downstream strategy coupling and cross-functional involvement. In addition, uncertainty related to a lack of firm or industry experience with such projects increases the magnitude of upstream rework but not downstream rework or the amount of cooperative planning. After accounting for project scope, implementation horizon and whether delays are anticipated, we find that project delay is primarily influenced by the magnitude of downstream rework and downstream delay: the magnitude of both upstream and downstream rework significantly increases downstream delay, which significantly increases project delay. However, the magnitude of upstream rework does not directly affect project delay. These results suggest that project delay is under managerial control as cooperative planning is a managerial function that reduces downstream rework, while uncertainty from a lack of experience with the design affecting upstream rework is not directly under managerial control.
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    Operating room scheduling and adaptive control using a priority first fit decreasing heuristic
    (2015-06) Li, Wei; Mitchell, Victoria L.; Nault, Barrie R.; Brind, Denise
    Operating room (OR) scheduling is a critical factor affecting overall hospital performance. We examine OR scheduling from two perspectives. In the first perspective we propose a scheme for OR block scheduling that uses a heuristic developed for a three-machine flow shop where the three phases of the peri-operative process (pre-op, OR, and post-op) correspond to the three-machine flow shop. This approach facilitates a hospital-as-a-system perspective. The second perspective used to examine OR scheduling is adaptive control of the OR slate. Recognizing that there are many factors affecting OR throughput performance, especially preemptions from emergent and urgent cases, adaptive control of the OR slate is necessary. To realistically improve performance, adaptive control of the OR slate should incorporate constraints on how surgeries can be rescheduled. We examine the benefits from adaptive control of the OR slate that uses a priority first fit decreasing (PFFD) heuristic while incorporating constraints on OR slate rescheduling. The PFFD heuristic is a priority-driven variation of the classic FFD heuristic used in bin packing problems. We develop a scheme for OR block scheduling and our PFFD heuristic. We then demonstrate our PFFD heuristic in a simulation-based case study, and subsequently run a simulation using 1000 instances to test the performance of our PFFD heuristic in OR slate scheduling and OR slate adaptive control showing improvements in performance relative to the frequently used first-come-first-served rule.