A binary branch and bound algorithm to minimize maximum scheduling cost

This paper examines a single machine scheduling problem of minimizing the maximum scheduling cost that is nondecreasing with job completion time. Job release dates and precedence constraints are considered. We assume that each job can be processed exactly once without preemption. This is a classical...

Full description

Saved in:
Bibliographic Details
Published in:Omega (Oxford) Vol. 42; no. 1; pp. 9 - 15
Main Authors: Chandra, Charu, Liu, Zhixin, He, Jun, Ruohonen, Toni
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.01.2014
Pergamon Press Inc
Subjects:
Algorithms
Branch & bound algorithms
Branch and bound
Cost reduction
Health service
Heuristic
Job shops
Manufacturing
Mathematical problems
Optimization algorithms
Production scheduling
Scheduling
Studies
Scheduling
Health service
Manufacturing
Branch and bound
ISSN:0305-0483, 1873-5274
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper examines a single machine scheduling problem of minimizing the maximum scheduling cost that is nondecreasing with job completion time. Job release dates and precedence constraints are considered. We assume that each job can be processed exactly once without preemption. This is a classical scheduling problem, and is specifically useful in the scheduling of medical treatments. We develop a simple branch and bound algorithm to solve the scheduling problem optimally. A binary branching technique is developed. We use a preemptive solution approach to locate a lower bound, and design a simple heuristic to find an upper bound. Our algorithm is easy to implement and finds optimal schedules in one CPU minute for almost all instances tested, with up to 1000 jobs. ► Minimizes maximum scheduling cost, with release dates and precedence constraints. ► Applicable in scheduling of medical treatments. ► Develops an easy-to-implement branch and bound algorithm. ► Optimally solves almost all random instances with up to 1000 jobs in one CPU minute.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0305-0483
1873-5274
DOI:10.1016/j.omega.2013.02.005