A Note on A Mixed Integer Programming Model for Advanced Planning and Scheduling (aps)
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Date
2010
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Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science Bv
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
In a recent paper, Chen and Ji [Chen, K., Ji, P., 2007. A mixed integer programming model for advanced planning and scheduling (APS). European journal of Operational Research 181, 515-522] develop a mixed integer programming model for advanced planning and scheduling problem that considers capacity constraints and precedence relations between the operations. The orders require processing of several operations on eligible machines. The model presented in the above paper works for the case where each operation can be processed on only one machine. However, machine eligibility means that only a subset of machines are capable of processing a job and this subset may include more than one machine. We provide a general model for advanced planning and scheduling problems with machine eligibility. Our model can be used for problems where there are alternative machines that an operation can be assigned to. (C) 2009 Elsevier B.V. All rights reserved.
Description
Keywords
Scheduling, MRP, Advanced planning and scheduling, Mixed integer programming, Deterministic scheduling theory in operations research, Mixed integer programming, MRP, scheduling, advanced planning and scheduling, mixed integer programming
Fields of Science
0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
7
Source
European Journal of Operatıonal Research
Volume
203
Issue
3
Start Page
784
End Page
785
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CrossRef : 5
Scopus : 9
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Mendeley Readers : 34
SCOPUS™ Citations
9
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7
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5
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8
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