Supply chain Integration for Improving Performance on Manufacturing Industries

Supply chain Integration for Improving Performance on Manufacturing Industries

Alie Wube Dametew

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Frank Ebinger

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Birhanu Beshah Abebe

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α Wollo University

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.

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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. \u201cSupply chain Integration for Improving Performance on Manufacturing Industries\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 16 (GJRE Volume 16 Issue J4): .

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GJRE Volume 16 Issue J4
Pg. 21- 33

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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 January 15, 2016

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v1.2

Issue date

November 6, 2016

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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)

View Count (all-time): 185

Total Views (Real + Logic): 3548

Total Downloads (simulated): 1873

Publish Date: 2016 11, Sun

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Total Views: 3548

Total Downloads: 1873

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