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A.A. Elimam

Researcher at San Francisco State University

Publications -  23
Citations -  469

A.A. Elimam is an academic researcher from San Francisco State University. The author has contributed to research in topics: Job shop scheduling & Scheduling (production processes). The author has an hindex of 13, co-authored 23 publications receiving 454 citations. Previous affiliations of A.A. Elimam include North Carolina State University & Kuwait Institute for Scientific Research.

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Integrated project scheduling and material planning with variable activity duration and rewards

TL;DR: In this paper, the authors investigated the impact of treating the activity duration as a decision variable on the activities schedule and materials plan and found that there exists an optimal schedule that either starts as early as possible (i.e., time zero) or completes as late as possible.
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Tabu Search in Audit Scheduling

TL;DR: This paper presents a heuristic procedure based on tabu search (TS) and intelligent memory structures for solving the problem of cost minimization objective function.
Journal ArticleDOI

Audit scheduling with overlapping activities and sequence-dependent setup costs

TL;DR: An integer linear program (ILP), which uses the early and late finish times of activities to reduce the number of decision variables, is formulated and indicates that incorporating the setup cost and the overlapping of activities yields lower cost schedules leading to sizable savings in the cost of audits.
Journal ArticleDOI

Tabu search in audit scheduling

TL;DR: In this paper, a heuristic procedure based on tabu search (TS) and intelligent memory structures is proposed to solve the problem of audit staff scheduling, where a feasible schedule is generated by a greedy forward dispatching procedure, then through a series of intensification and diversification steps it improves on the initial schedule.
Posted Content

Integrated Project Scheduling and Material Planning with Variable Activity Duration and Rewards

TL;DR: In this article, the authors presented a formulation and a solution approach for the audit scheduling problem with overlapping activities and sequence dependent setup cost, and treated the activity duration as a decision variable and include granting a reward for completing the project ahead of its due date.