Integration of production planning and scheduling: Overview, challenges and opportunities

Christos T. Maravelias; Charles Sung

doi:10.1016/j.compchemeng.2009.06.007

Integration of production planning and scheduling: Overview, challenges and opportunities

Christos T. Maravelias
, Charles Sung

Research output: Contribution to journal › Article › peer-review

338 Scopus citations

Abstract

We review the integration of medium-term production planning and short-term scheduling. We begin with an overview of supply chain management and the associated planning problems. Next, we formally define the production planning problem and explain why integration with scheduling leads to better solutions. We present the major modeling approaches for the integration of scheduling and planning decisions, and discuss the major solution strategies. We close with an account of the challenges and opportunities in this area.

Original language	English (US)
Pages (from-to)	1919-1930
Number of pages	12
Journal	Computers and Chemical Engineering
Volume	33
Issue number	12
DOIs	https://doi.org/10.1016/j.compchemeng.2009.06.007
State	Published - Dec 10 2009
Externally published	Yes

All Science Journal Classification (ASJC) codes

General Chemical Engineering
Computer Science Applications

Keywords

Mixed-integer programming
Production planning
Scheduling
Supply chain management

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10.1016/j.compchemeng.2009.06.007

Cite this

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title = "Integration of production planning and scheduling: Overview, challenges and opportunities",

abstract = "We review the integration of medium-term production planning and short-term scheduling. We begin with an overview of supply chain management and the associated planning problems. Next, we formally define the production planning problem and explain why integration with scheduling leads to better solutions. We present the major modeling approaches for the integration of scheduling and planning decisions, and discuss the major solution strategies. We close with an account of the challenges and opportunities in this area.",

keywords = "Mixed-integer programming, Production planning, Scheduling, Supply chain management",

author = "Maravelias, \{Christos T.\} and Charles Sung",

note = "Funding Information: The authors gratefully acknowledge financial support from the National Science Foundation, under Grant No. CTS-0547443.",

year = "2009",

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AU - Maravelias, Christos T.

AU - Sung, Charles

N1 - Funding Information: The authors gratefully acknowledge financial support from the National Science Foundation, under Grant No. CTS-0547443.

PY - 2009/12/10

Y1 - 2009/12/10

N2 - We review the integration of medium-term production planning and short-term scheduling. We begin with an overview of supply chain management and the associated planning problems. Next, we formally define the production planning problem and explain why integration with scheduling leads to better solutions. We present the major modeling approaches for the integration of scheduling and planning decisions, and discuss the major solution strategies. We close with an account of the challenges and opportunities in this area.

AB - We review the integration of medium-term production planning and short-term scheduling. We begin with an overview of supply chain management and the associated planning problems. Next, we formally define the production planning problem and explain why integration with scheduling leads to better solutions. We present the major modeling approaches for the integration of scheduling and planning decisions, and discuss the major solution strategies. We close with an account of the challenges and opportunities in this area.

KW - Mixed-integer programming

KW - Production planning

KW - Scheduling

KW - Supply chain management

UR - https://www.scopus.com/pages/publications/70249093672

UR - https://www.scopus.com/pages/publications/70249093672#tab=citedBy

U2 - 10.1016/j.compchemeng.2009.06.007

DO - 10.1016/j.compchemeng.2009.06.007

M3 - Article

AN - SCOPUS:70249093672

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SP - 1919

EP - 1930

JO - Computers and Chemical Engineering

JF - Computers and Chemical Engineering

IS - 12

ER -

Integration of production planning and scheduling: Overview, challenges and opportunities

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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