A Study on the Enhanced Best Performance Algorithm for the Just-in-Time Scheduling Problem
Joint Authors
Chetty, Sivashan
Adewumi, Aderemi Oluyinka
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The Just-In-Time (JIT) scheduling problem is an important subject of study.
It essentially constitutes the problem of scheduling critical business resources in an attempt to optimize given business objectives.
This problem is NP-Hard in nature, hence requiring efficient solution techniques.
To solve the JIT scheduling problem presented in this study, a new local search metaheuristic algorithm, namely, the enhanced Best Performance Algorithm (eBPA), is introduced.
This is part of the initial study of the algorithm for scheduling problems.
The current problem setting is the allocation of a large number of jobs required to be scheduled on multiple and identical machines which run in parallel.
The due date of a job is characterized by a window frame of time, rather than a specific point in time.
The performance of the eBPA is compared against Tabu Search (TS) and Simulated Annealing (SA).
SA and TS are well-known local search metaheuristic algorithms.
The results show the potential of the eBPA as a metaheuristic algorithm.
American Psychological Association (APA)
Chetty, Sivashan& Adewumi, Aderemi Oluyinka. 2015. A Study on the Enhanced Best Performance Algorithm for the Just-in-Time Scheduling Problem. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1060476
Modern Language Association (MLA)
Chetty, Sivashan& Adewumi, Aderemi Oluyinka. A Study on the Enhanced Best Performance Algorithm for the Just-in-Time Scheduling Problem. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1060476
American Medical Association (AMA)
Chetty, Sivashan& Adewumi, Aderemi Oluyinka. A Study on the Enhanced Best Performance Algorithm for the Just-in-Time Scheduling Problem. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1060476
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060476