Retracted: Combined Location-Inventory Optimization of Deteriorating Products Supply Chain Based on CQMIP under Stochastic Environment

Author

Mathematical Problems in Engineering,

Source

Mathematical Problems in Engineering

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-1, 1 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-04-07

Country of Publication

Egypt

No. of Pages

1

Main Subjects

Civil Engineering

Abstract EN

Mathematical Problems in Engineering has retracted the article titled “Combined Location-Inventory Optimization of Deteriorating Products Supply Chain Based on CQMIP under Stochastic Environment” published in Mathematical Problems in Engineering in 2018 [1].

The article was found to contain significant material from another article titled “A Conic Integer Programming Approach to Stochastic Joint Location-Inventory Problems” published in Operations Research in 2012 by different authors [2], which was not cited.

American Psychological Association (APA)

Mathematical Problems in Engineering,. 2019. Retracted: Combined Location-Inventory Optimization of Deteriorating Products Supply Chain Based on CQMIP under Stochastic Environment. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-1.
https://search.emarefa.net/detail/BIM-1196786

Modern Language Association (MLA)

Mathematical Problems in Engineering,. Retracted: Combined Location-Inventory Optimization of Deteriorating Products Supply Chain Based on CQMIP under Stochastic Environment. Mathematical Problems in Engineering No. 2019 (2019), pp.1-1.
https://search.emarefa.net/detail/BIM-1196786

American Medical Association (AMA)

Mathematical Problems in Engineering,. Retracted: Combined Location-Inventory Optimization of Deteriorating Products Supply Chain Based on CQMIP under Stochastic Environment. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-1.
https://search.emarefa.net/detail/BIM-1196786

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1196786