Search

Your search keyword '"Oualid Jouini"' showing total 127 results
Start Over Author "Oualid Jouini"
127 results on '"Oualid Jouini"'

1. Operations management of outpatient chemotherapy process: An optimization-oriented comprehensive review

Author

Majed Hadid, Adel Elomri, Tarek El Mekkawy, Oualid Jouini, Laoucine Kerbache, and Anas Hamad

Subjects
Outpatient, Chemotherapy, Process, Cancer, Oncology, Hematology, Mathematics, QA1-939
Abstract

Worldwide, chemotherapy centers that provide outpatient services face significant challenges owing to increased demand and limited resources. Therefore, outpatient chemotherapy process (OCP) optimization has attracted the attention of operations management scholars. This review seeks to provide a comprehensive analysis of existing quantitative optimization-oriented research that addresses OCP problems and identifies departure points for future research.Various scientific databases were searched to collect the maximum number of OCP optimization-oriented publications. Bibliometric data mining tools were used to provide descriptive analyses of the publications. The OCP optimization-oriented research framework was obtained through social network analysis of the formulation narratives of the models. Content analysis was performed to classify the literature based on several optimization-oriented perspectives. From 1500 publications, 45 studies were screened and included in the review. The current literature lacks a holistic solution to OCP challenges, as most publications are pure optimization studies that consider narrow scopes and idealized problems. This review proposes future research opportunities based on the gaps discovered, which may lead to more insightful results for real-life OCP problems.

Published
2022
Full Text
View/download PDF

47. Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling

Author

Majed Hadid, Adel Elomri, Regina Padmanabhan, Laoucine Kerbache, Oualid Jouini, Abdelfatteh El Omri, Amir Nounou, and Anas Hamad

Subjects
Appointments and Schedules, Health, Toxicology and Mutagenesis, Outpatients, Public Health, Environmental and Occupational Health, outpatient chemotherapy, cancer, oncology health care, clustering, stochastic simulation-based optimization, multi objectives, planning, scheduling, decision-making metaheuristics, artificial intelligence, Humans, Cluster Analysis, Computer Simulation, Algorithms
Abstract

Outpatient Chemotherapy Appointment (OCA) planning and scheduling is a process of distributing appointments to available days and times to be handled by various resources through a multi-stage process. Proper OCAs planning and scheduling results in minimizing the length of stay of patients and staff overtime. The integrated consideration of the available capacity, resources planning, scheduling policy, drug preparation requirements, and resources-to-patients assignment can improve the Outpatient Chemotherapy Process’s (OCP’s) overall performance due to interdependencies. However, developing a comprehensive and stochastic decision support system in the OCP environment is complex. Thus, the multi-stages of OCP, stochastic durations, probability of uncertain events occurrence, patterns of patient arrivals, acuity levels of nurses, demand variety, and complex patient pathways are rarely addressed together. Therefore, this paper proposes a clustering and stochastic optimization methodology to handle the various challenges of OCA planning and scheduling. A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. The experimental results indicate the positive effect of clustering similar appointments on the performance measures and the computational time. The developed cluster-based stochastic optimization approaches showed superior performance compared with baseline and sequencing heuristics using data from a real Outpatient Chemotherapy Center (OCC).

Published
2022

Catalog

Books, media, physical & digital resources
See catalog results