Supplier Selection using Integer Linear Programming Model

Supplier Selection using Integer Linear Programming Model

Md. Sazol Ahmmed

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Sourav Kumar Ghosh

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Naurin Zoha

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Tanzima Zoha Chowdhury

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Bangladesh University of Engineering and Technology

Supplier Selection using Integer Linear Programming Model

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Abstract

Contemporary business organizations highly depend on outsourcing for success in today’s competitive marketplace and selecting a suitable supplier is essential for developing new products. To ensure effective upstream management, supplier selection plays a key role in supply chain management. Nowadays to keep pace with the global competition, organizations tend to build a long-term relationship with the vendors. As a result, the direct and the indirect consequences of poor decision-making become more severe. There are a lot of methods to determine the best matched supplier for a particular product. In this study, at first, we have calculated the weighted values through MCDM process (Using AHP) for the different product for different vendors. Then we have proposed a vendor selection model using Integer Linear Programming (ILP) Model for multiproduct, multi-vendor environment. The research is intended to build up a generic model to be utilized in different scenarios in the decision making process according to the company’s own preference. We check the validity of the model with a case study for managing the best suppliers for knit fabrics of a renowned textile industry of Bangladesh.

References

13 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Sazol Ahmmed. 2018. \u201cSupplier Selection using Integer Linear Programming Model\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 18 (GJRE Volume 18 Issue J4).

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GJRE Volume 18 Issue J4

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-J Classification FOR Code: 099999

Submission ReceivedDecember 16, 2017
Peer Review Double Blind
Handling Editor
Accepted January 2, 2018
Published January 15, 2018

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v1.2

Issue date

July 3, 2018

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Article Matrices

Total Score: 104

Country: Bangladesh

Subject: Global Journal of Research in Engineering - J: General Engineering

Authors: Sourav Kumar Ghosh, Naurin Zoha, Tanzima Zoha Chowdhury, Md.Sazol Ahmmed (PhD/Dr. count: 0)

View Count (all-time): 258

Total Views (Real + Logic): 3037

Total Downloads (simulated): 1590

Publish Date: 2018 07, Tue

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Total Views: 3037

Total Downloads: 1590

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