A Note on A Mixed Integer Programming Model for Advanced Planning and Scheduling (aps)

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Date

2010

Authors

Örnek, Mustafa Arslan
Özpeynirci, Selin

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Publisher

Elsevier Science Bv

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Green Open Access

No

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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.

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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

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WoS Q

Q1

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Q1
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OpenCitations Citation Count
7

Source

European Journal of Operatıonal Research

Volume

203

Issue

3

Start Page

784

End Page

785
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Scopus : 9

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9

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7

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5

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8

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