Title
A hybrid dynamic programming for solving a mixed-model sequencing problem with production mix restriction and free interruptions.
Abstract
In this article, we propose a hybrid procedure based on bounded dynamic programming assisted by linear programming to solve the mixed-model sequencing problem with workload minimization with serial workstations, free interruption of the operations and with production mix restrictions. We performed a computational experiment with 23 instances related to a case study of the Nissan powertrain plant located in Barcelona. The results of our proposal are compared with those obtained by mixed integer linear programming.
Year
DOI
Venue
2017
10.1007/s13748-016-0101-5
Progress in AI
Keywords
Field
DocType
Mixed-model sequencing, Dynamic programming, Mixed integer linear programming, Hybrid metaheuristics, Industrial application
Powertrain,Dynamic programming,Mathematical optimization,Computer science,Branch and price,Workstation,Integer programming,Minification,Linear programming,Bounded function
Journal
Volume
Issue
ISSN
6
1
2192-6360
Citations 
PageRank 
References 
3
0.44
15
Authors
3
Name
Order
Citations
PageRank
Joaquín Bautista134527.50
Alberto Cano226918.88
Rocıo Alfaro3366.68