2017
DOI: 10.1007/978-3-319-58409-6_15
|View full text |Cite
|
Sign up to set email alerts
|

A Generic Decision Support Tool for Lot-Sizing and Scheduling Problems with Setup and Due Dates

Abstract: is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. Abstract: Decision support tools are essential to help in the management of industrial systems at different levels: strategic, to design the system; tactical to plan activities or assign resources; operational to schedule activities. In this paper, we present a generic and modular decision support tool to solve different planning, assignment, scheduling or lot-… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
2
2
1

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 14 publications
0
2
0
Order By: Relevance
“…First the method has been developed in a hospital context: exams planning and resources assignment [12]. Then it has been used to solve a lot sizing and scheduling problem for the injection industry, identified as a Capacitated Lot Sizing Problem (CLSP) [13]. Our main objective is to show that our tool is sufficiently generic.…”
Section: Proposed Methodsmentioning
confidence: 99%
“…First the method has been developed in a hospital context: exams planning and resources assignment [12]. Then it has been used to solve a lot sizing and scheduling problem for the injection industry, identified as a Capacitated Lot Sizing Problem (CLSP) [13]. Our main objective is to show that our tool is sufficiently generic.…”
Section: Proposed Methodsmentioning
confidence: 99%
“…Number of exams CPLEX (Gourgand et al, 2014a) ILS solved thanks to this tool by changing the list algorithm: for instance, it has been used to solve an industrial problem (Silva et al, 2016). Problems with human resources can easily be solved by developing some new list algorithms dedicated to them.…”
mentioning
confidence: 99%