Supply chain Integration for Improving Performance on Manufacturing Industries

Alie Wube Dametew

Supply chain Integration for Improving Performance on Manufacturing Industries

Alie Wube Dametew * §

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§ Wollo University KioT

Supply chain Integration for Improving Performance on Manufacturing Industries

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Abstract

Rising global competition and the increasing costs of natural resources today as well as customers demands for higher manufactured goods quality, better product selection, and improved customer service have created new challenges for manufacturing industries. Even though research has suggested that supply chain management and supply chain integration are distinct potential, little is known about their performance effects and about the contextual conditions under which they are effective. Based on a literature survey and expert analysis of manufacturing firms, we empirically investigate the effects of supply chain integration on quality performance using Analytical hierarchical Open Decision maker analysis. We argue our study in the dynamic capabilities view and contingency theory. We investigate that supply chain integration positively affect quality performance. our result indicates that knowledge, technology, production &design and resource integration directly related and impact on quality performance for manufacturing companies.

References

34 Cites in Article

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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

Alie Wube Dametew. 2016. "Supply chain Integration for Improving Performance on Manufacturing Industries". Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 16 (GJRE Volume 16 Issue 21 (J4)).

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GJRE Volume 16 Issue 21 (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: 091599

Submission ReceivedDecember 11, 2015
Peer Review Double Blind
Handling Editor
Accepted January 3, 2016
Published September 12, 2016

Version of record

v1.2

Issue date

September 12, 2016

Language

English

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Article Matrices

Total Score: 73

Country: Ethiopia

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

Authors: Alie Wube Dametew, Frank Ebinger, Birhanu Beshah Abebe (PhD/Dr. count: 0)

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