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Quality Management Journal The 2019-2020 Journal Impact IF of Quality Management Journal is 1.2, which is just updated in 2020. — Quality Management Journal Journal Impact IF

Quality Management Journal

Highest IF Lowest IF 1.2 0.621

Key Factor Analysis Key Factor Analysis

Total Growth Rate Annual Growth Rate 29.2% 4.9%

Key Factor Analysis Key Factor Analysis

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Journal Impact IF Ranking

Subcategory Quartile Rank Percentile

General Business,Management and Accounting Q2 79/221 General Business,Management and Accounting 64%

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Quality Management Journal Impact Factor 2020-2021 Prediction

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Total Publications Total Citations 862 10253

Annual Publication Volume

Annual Citation Record

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Journal Impact IF History

Display 5 records per page Search:

Year Journal Impact IF

2019-2020 1.2

2018-2019 0.923

2017-2018 0.621

2016-2017 1.0

2015-2016 0.935

Year Journal Impact IF

Showing 1 to 5 of 9 records Previous 1 2 Next

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Year Publications Citations

2021 3 51

2020 24 536

2019 40 515

2018 35 475

2017 24 436

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Key Factor Analysis

What is Impact Factor? The impact factor (IF) or journal impact factor (JIF) of an is a scientometric index calculated by Clarivate that reflects the yearly average number of citations of articles published in the last two years in a given journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factor values are often deemed to be more important, or carry more intrinsic prestige in their respective fields, than those with lower values.

Impact factor is commonly used to evaluate the relative importance of a journal within its field and to measure the frequency with which the “average article” in a journal has been cited in a particular time period. Journal which publishes more review articles will get highest IFs. Journals with higher IFs believed to be more important than those with lower ones. According to Eugene Garfield “impact simply reflects the ability of the journals and editors to attract the best paper available.” Journal which publishes more review articles will get maximum IFs. The Impact Factor of an academic journal is a scientometric Metric that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a Metric for the relative importance of a journal within its field; journals with higher Impact Factor are often deemed to be more important than those with lower ones. The Quality Management Journal Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the Quality Management Journal during the two preceding years (2018-2019). Note that 2020 Impact Factor are reported in 2021; they cannot be calculated until all of the 2020 publications have been processed by the indexing agency. New journals, which are indexed from their first published issue, will receive an impact factor after two years of indexing; in this case, the citations to the year prior to Volume 1, and the number of articles published in the year prior to Volume 1 are known zero values Journals that are indexed starting with a volume other https://academic-accelerator.com/Impact-Factor-IF/Quality-Management-Journal 7/14 2/19/2021 Quality Management Journal: Vol 28, No 1

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Quality Management Journal, Volume 28, Issue 1 (2021)

Editorial

Editorial Editor’s overview 

S. Thomas Foster Page: 1 Published online: 17 Dec 2020

127 0 Altmetric Views CrossRef citations

Article

Article Selecting the best quality inspection alternative based on the quality, economic and environmental considerations 

Feri Afrinaldi & Harly Bobby Pratama Pages: 2-16 Published online: 25 Nov 2020

97 0 Altmetric Views CrossRef citations

Review Article https://www.tandfonline.com/toc/uqmj20/current 2/4 2/19/2021 Quality Management Journal: Vol 28, No 1

Review article The role of internet of things in food supply chain quality management: A review 

Mohamed Ben-Daya, Elka Hassini, Zied Bahroun & Bayan H. Banimfreg Pages: 17-40 Published online: 08 Dec 2020

184 2 Altmetric Views CrossRef citations

Article

Article An empirical study on quality improvement in higher education institutions with reference to selected processes 

Rahul V. Mulay & Vandana Tandon Khanna Pages: 41-56 Published online: 10 Dec 2020

57 0 Altmetric Views CrossRef citations

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EDITOR-IN-CHIEF S. Thomas Foster Jr.- Brigham Young University

EDITORIAL ADVISORY BOARD Sanjay Ahire- University of South Carolina Robert Batson- University of Alabama Edwin Cheng- Hong Kong Polytechnic University Joy Field- Boston College Barbara Flynn- Indiana University Larry Fredendall- Clemson University Soumen Ghosh- Georgia Tech University Susan Goldstein- University of Minnesota John Gray- Ohio State University Jan Hartley- Bowling Green State University Antony Jiju- Heriot Watt University Hale Kaynak- University of Texas - Pan American Peter Letmathe- RWTH Aachen University, Germany Kevin Linderman- Penn State University Victor Prybutok- University of North Texas Aleda Roth- Clemson University Scott Sampson- Brigham Young University Xiande Zhao- CEIBS

EDITORIAL REVIEW BOARD George Ball - University of Indiana https://www.tandfonline.com/action/journalInformation?show=editorialBoard&journalCode=uqmj20 1/4 2/19/2021 Quality Management Journal Editorial Board Duane Beck - Rochester Institute of Technology Ram Bishu- University of Nebraska Aravind Chandrasekaran- Ohio State University Adrian S. Choo- Michigan State University Lori Cook- Depaul University Charles Corbett- UCLA Sime Curkovich- Western Michigan University Jay Daniel- University of Derby Sarv Devaraj- University of Notre Dame Ana Feger- University of Ohio Joy Field- Boston College John Gardner- Brigham Young University Peter Golder- Dartmouth College Anandasivam Gopal- University of Maryland John Grout- Berry College Leopoldo Gutierrez- Universidad De Granada Douglas Hales- University of Rhode Island Janelle Heineke- Boston University Jamison Kovach- University of Houston Robert Landeros- Western Michigan University Deborah Manzo- University of North Carolina at Chapel Hill Giuliano Marodin- University of South Carolina Gerolamo Mateus Cecilio- University of Sao Paulo Yoshiki Matsui- Yokohama National University Kathleen L. McFadden- Northern Illinois University Debanjan Mitra- University of Connecticut Anand Nair- Michigan State University Rogelio Oliva- Texas A&M University Ceyhun Ozgur- Valparaiso University Nicole Radziwill- James Madison University Sampath Rajagopalan- University of Southern California Alvaro Rosa- Instituto Universitario de Lisboa Eve Rosenzweig- Emory University Borut Rusjan- University of Ljubljana, Slovenia Paulo Sampaio- University of Minho, Portugal Danny Samson- University of Melbourne, Australia Joseph Sarkis- Worcester Plytechnic Bill Sawaya - Bowling Green Street University https://www.tandfonline.com/action/journalInformation?show=editorialBoard&journalCode=uqmj20 2/4 2/19/2021 Quality Management Journal Editorial Board Robert Schmitt- RWTH Aachen University, Germany Shane Schvaneveldt- Weber State Rui Sousa- Catolica Porto Business School, Portugal John Surak- Clemson University Kevin Taae- Clemson University Mile Terziovski- Swinburne University, United Kingdom Matthias Thurer- Federal University of Sao Paulo, Brazil Anita Tucker- Boston University Don Wardell Andy Yeung- Hong Kong Polytechnic University Eden Yin- Cambridge University He Zhen- Tianjin University, China Xingxing Zu- Morgan State University

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Quality Management Journal Volume , Issue , November , Pages - Inform me when this document Selecting the best quality inspection alternative based on the quality, economic is cited in : Set citation Set citation and environmental considerations (Article) alert ▻ feed ▻ Afrinaldi, F., Pratama, H.B.  Related documents View additional authors 

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Abstract The use of inspection is unavoidable in many situations. For example, inspection is required to satisfy government regulation, guarantee quality parameter is met by the products supplied by new suppliers whose quality history has not been built, and mitigate product liability risks. There are three quality inspection alternatives, percent inspection, no inspection, and sampling inspection. No inspection brings a considerable risk of shipping non- conforming products to the consumer. percent inspection involves a slight risk of delivering non-conforming products to the consumer but consumes resources signicantly. Sampling inspection requires the producer to judge products based on a random sample. Therefore, it still contains the risk of sending non-conforming products to the consumer. The risk and resource consumptions can cause the producer to bear for the cost and environmental impact due to rework, scrap, and transportation. This paper proposes a mathematical model and algorithm to select the best inspection alternative based on quality, economic, and environmental considerations. We apply the model and algorithm to solve a real industrial case study. The results of the case study show that the proposed method results in

a lower expected total cost and CO emission and a better level of protection for the producer and consumer than the single sampling plan method widely used. We expect that the proposed model and algorithm can assist practitioners in the industry to select the best inspection alternative. It is essential to note that sampling inspection is not a substitute for proper process monitoring and control. © American Society for Quality. All rights reserved.

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Topic: Acceptance Sampling | Average Sample Number | Process Capability Index

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Algorithm Cost Environmental impact Inspection Quality

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/UN..

/ We would like to thank the Journal Publication Grant of the Faculty of Engineering, Andalas University, Contract No. /UN...D/PL, for its nancial support during the revision process.

ISSN: DOI: ./.. Source Type: Journal Document Type: Article Original language: English Publisher: American Society for Quality

 Afrinaldi, F.; Department of Industrial Engineering, Andalas University, Padang, Indonesia © Copyright B.V., All rights reserved.

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Quality Management Journal (QMJ) is the rst journal to link the efforts of academic researchers and quality management practitioners. QMJ provides a forum for communicating and discussing research ndings. New research that scientically explores the principles of quality management is actively sought for the journal. Quality Management Journal (QMJ) is primarily an empirical research journal. To be appropriate, an article should be grounded in methods and theory.

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Total Cites Self-Cites Cites per document Year Value Cites / Doc. (4 years) 2013 0.000 0.4 60 Evolution of the total number of citations and journal's Cites / Doc. (4 years) 2014 0.929 self-citations received by a journal's published Cites / Doc. (4 years) 2015 0.935 documents during the three previous years. Cites0 / Doc. (4 years) 2016 0.891 30 Journal Self-citation is dened as the number of citation Cites / Doc. (4 years) 2017 0.933 2013 2014 2015 2016 2017 2018 2019 from a journal citing article to articles published by the Cites / Doc. (4 years) 2018 1.724 Cites / Doc. (4 years) 2019 1.278 same journal. Cites / Doc. (4 years) 0 CitesCites / Doc./ Doc. (3 (3 y years)ears) 2013 0.000 2013 2014 2015 2016 2017 2018 2019 CitesCites / Doc./ Doc. (3 (2 y years)ears) 2014 0.929 Cites Year Value Cites / Doc. (3 years) 2015 0.935 S lf Cit 2013 0

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1.4Evolution of the number of total citation per document 21International Collaboration accounts for the articles that and external citation per document (i.e. journal self- have been produced by researchers from several citations removed) received by a journal's published 14countries. The chart shows the ratio of a journal's 0.7 documents during the three previous years. External documents signed by researchers from more than one 7 citations are calculated by subtracting the number of country; that is including more than one country address. self-citations0 from the total number of citations received 0 by the journal’s documents. Year International Collaboration 2013 2014 2015 2016 2017 2018 2019 2013 2014 2015 2016 2017 2018 2019 2013 16.67 Cit Y V l 2014 4 76

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Saeed Dobbah, Muhammad Aslam, Khushnoor 73 % Khan. "Design of a New Synthetic Acceptance <1 Sampling Plan", Symmetry, 2018 Publication

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