Variable neighborhood search for a planning problem with resource constraints in a health simulation center

2021 ◽  
Author(s):  
Simon Caillard ◽  
Laure Brisoux Devendeville ◽  
Corinne Lucet
Keyword(s):  
Variable Neighborhood Search ◽  
Resource Constraints ◽  
Neighborhood Search ◽  
Planning Problem ◽  
Simulation Center ◽  
Health Simulation

scholarly journals TUNING OF THE METAHEURISTIC VARIABLE NEIGHBORHOOD SEARCH FOR A FOREST PLANNING PROBLEM

CERNE ◽  
2018 ◽  
Vol 24 (3) ◽  
pp. 259-268
Author(s):  
Carlos Alberto Araújo Júnior ◽  
João Batista Mendes ◽  
Adriana Leandra de Assis ◽  
Christian Dias Cabacinha ◽  
Jonathan James Stocks ◽  
...  
Keyword(s):  
Variable Neighborhood Search ◽  
Neighborhood Search ◽  
Forest Planning ◽  
Planning Problem

scholarly journals A Scheduling and Rescheduling Decision Support System for Apparel Manufacturing

2021 ◽  
Vol 12 (4) ◽  
pp. 1-19
Author(s):  
Ehsan Ardjmand ◽  
William A. Young II ◽  
Iman Ghalehkhondabi ◽  
Gary R. Weckman
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Variable Neighborhood Search ◽  
Resource Constraints ◽  
Neighborhood Search ◽  
Apparel Manufacturing ◽  
Scheduling System ◽  
Release Times

The manufacturing environment for apparel is subject to a variety of constraints, stochasticity, and unforeseen events. In order to create an accurate scheduling-system for this environment, these complexities must be considered. This article presents the development and the application of a scheduling and rescheduling decision support system for an apparel manufacturer. Furthermore, the results of applying the proposed system are presented and discussed. The scheduling and rescheduling decision support system presented in this article takes advantage of a variable neighborhood search and Monte Carlo simulation in order to minimize tardiness in the presence of different release times, sequence-based setup times, blocking, and resource constraints. The results show that the quality of the schedules generated by the proposed scheduling and rescheduling decision support system is superior to the current firm’s scheduling practice, which is based on an earliest due date heuristic. Moreover, the percentage of the realized schedule and overall equipment effectiveness were improved.

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