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A New Approach to Manage Welding Quality in Supply Chain Networks: A Supplier Network Complaints Perspective

Received: 21 February 2017    Accepted: 3 March 2017    Published: 28 March 2017
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Abstract

This study presents a five-step method for analysis of supply chain networks from the perspective of the welding quality of manufactured products. The presented approach gives tools to take care of welding quality assessment in supply chain networks. The study uses data based analysis of complaints data and survey results to provide information that may assist managerial decision-making and supplier-related marketing activities. The results reflect the importance of information sharing as a means to reduce the number of complaints and show that combining production data and information about the production offers potential for manufacturing quality development in the supply chain network. The study uses applied RACI matrix and the case of a welding supply chain network to establish the findings. The case example discusses the observations dealing with GMAW process.

Published in International Journal of Mechanical Engineering and Applications (Volume 5, Issue 2)
DOI 10.11648/j.ijmea.20170502.14
Page(s) 95-106
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Complaint Management, RACI Matrix, Supplier Quality, Supply Chain Network, Welding Quality Assessment

References
[1] M. M. Wilhelm, Managing cooperation through horizontal supply chain relations: Linking dyadic and network levels of analysis, Journal of Operations Management, Vol. 29 (7–8), pp. 663-676, 2011. doi: 10.1016/j.jom.2011.03.003.
[2] C. Ramos, S. C. Henneberg, P. Naudé, Understanding network picture complexity: An empirical analysis of contextual factors, Industrial Marketing Management, Vol. 41 (6), pp. 951-972, 2012. doi: 10.1016/j.indmarman.2011.12.001.
[3] Z. Liu, J. M. Cruz, Supply chain networks with corporate financial risks and trade credits under economic uncertainty, International Journal of Production Economics, Vol. 137 (1), pp. 55-67, 2012. doi: 10.1016/j.ijpe.2012.01.012.
[4] T. Ritter, I. F. Wilkinson, W. J. Johnston, Managing in complex business networks, Industrial Marketing Management, Vol. 33 (3), pp. 175-183, 2004. doi: 10.1016/j.indmarman.2003.10.016.
[5] J. Barnes, Y. Liao, The effect of individual, network, and collaborative competencies on the supply chain management system, International Journal of Production Economics, Vol. 140, pp. 888-899, 2012. doi: 10.1016/j.ijpe.2012.07.010.
[6] L. Knight, Network learning: Exploring learning by interorganizational networks, Human relations, Vol. 55 (4), pp. 427-454, 2002. doi: 10.1177/0018726702554003.
[7] L-E. Gadde, L. Huemer, H. Håkansson, Strategizing in industrial networks, Industrial Marketing Management, Vol. 32 (5), pp. 357-364, 2003. doi: 10.1016/S0019-8501(03)00009-9.
[8] D. Ford, L-E. Gadde, H. Håkansson, I. Snehota, Managing Networks. In 18th IMP Conf., Perth, Australia, December 2002, pp. 11–13.
[9] S. Mouzas, S. Henneberg, P. Naudé, Developing network insight, Industrial Marketing Management, Vol. 37 (2), pp. 167-180, 2008. doi: 10.1016/j.indmarman.2007.01.003.
[10] M. H. Abrahamsen, S. C. Henneberg, P. Naudé, Using actors' perceptions of network roles and positions to understand network dynamics, Industrial Marketing Management, Vol. 41 (2), pp. 259-269, 2012. doi: 10.1016/j.indmarman.2012.01.008.
[11] D. Ford, M. Redwood, Making sense of network dynamics through network pictures: A longitudinal case study, Industrial Marketing Management, Vol. 34 (7), pp. 648-657, 2005. doi: 10.1016/j.indmarman.2005.05.008.
[12] S. Leek, K. Mason, Network pictures: Building an holistic representation of a dyadic business-to-business relationship, Industrial Marketing Management, Vol. 38 (6), pp. 599-607, 2009. doi: 10.1016/j.indmarman.2009.05.013.
[13] S. C. Henneberg, S. Mouzas, P. Naudé, Network pictures: concepts and representations, European Journal of Marketing, Vol. 40 (3-4), pp. 408-429, 2006. doi: 10.1108/03090560610648129.
[14] S. Leek, K. Mason, The utilisation of network pictures to examine a company's employees' perceptions of a supplier relationship, Industrial Marketing Management, Vol. 39 (3), pp. 400-412, 2010. doi: 10.1016/j.indmarman.2007.08.010.
[15] E. Holmen, T. B. Aune, A-C. Pedersen, Network pictures for managing key supplier relationships, Industrial Marketing Management, Vol. 42 (2), pp. 139-151, 2013. doi: 10.1016/j.indmarman.2012.12.003.
[16] C. Roseira, C. Brito, D. Ford, Network pictures and supplier management: An empirical study, Industrial Marketing Management, Vol. 42 (2), pp. 234-247, 2013. doi: 10.1016/j.indmarman.2012.08.006.
[17] I. Colville, A. Pye, A sensemaking perspective on network pictures, Industrial Marketing Management, Vol. 39 (3), pp. 372-380, 2010. doi: 10.1016/j.indmarman.2009.03.012.
[18] S. Wang, T. Wu, S-J. Weng, J. Fowler, A control chart based approach to monitoring supply network dynamics using Kalman filtering, International Journal of Production Research, Vol. 50 (11), pp. 3137-3151, 2012. doi: 10.1080/00207543.2011.597788.
[19] M. Rudberg, J. Olhager, Manufacturing net-works and supply chains: an operation strategy perspective, The International Journal of Management Science, Vol. Omega 31, pp. 29-39, 2003. doi: 10.1016/S0305-0483(02)00063-4.
[20] C-W. Chang, D. M. Chiang, F-Y. Pai, Cooperative strategy in supply chain networks, Industrial Marketing Management, Vol. 41, pp. 1114-1124, 2012. doi: 10.1016/j.indmarman.2012.04.011.
[21] S. A. Dellana, J. F. Kros, An exploration of quality management practices, perceptions and program maturity in the supply chain, International Journal of Operations & Production Management, Vol. 34 (6), pp. 786-806, 2014. doi: 10.1108/IJOPM-03-2013-0105.
[22] L. Bizzi, A. Langley, Studying processes in and around networks, Industrial Marketing Management, Vol. 41, pp. 224-234, 2012. doi: 10.1016/j.indmarman.2012.01.007.
[23] H. Seok, K. Kim, S. Y. Nof, Intelligent contingent multi-sourcing model for resilient supply networks, Expert Systems with Applications, Vol. 51 (1), pp. 107-119, 2016. doi: 10.1016/j.eswa.2015.12.026.
[24] R. Lamming, T. Johnsen, J. Zheng, C. Harland, An initial classification of supply networks, International Journal of Operations & Production Management, Vol. 20 (6), pp. 675-691, 2000. doi: 10.1108/01443570010321667.
[25] Z. Chen, C. Teng, D. Zhang, J. Sun, Modelling inter-supply chain competition with resource limitation and demand disruption, International Journal of Systems Science, Vol. 47 (79, pp. 1644-1658, 2016. doi: 10.1080/00207721.2014.942499.
[26] J. F. Dyer, N. W. Hatch, Relation-specific capabilities and barriers to knowledge transfers: creating advantage through network relationships, Strategic Management Journal, Vol. 27 (8), pp. 701-719, 2006. doi: 10.1002/smj.543.
[27] J. F. Dyer, K. Nobeoka, Creating and managing a high performance knowledge-Sharing network: The Toyota Case, Strategic Management Journal, Vol. 21 (3), pp. 345-367, 2000. doi: 10.1002/(SICI)1097-0266(200003)21:3<345::AID-SMJ96>3.0.CO;2-N.
[28] M. Cao, M. A. Vonderembse, Q. Zhang, T. S. Ragu-Nathan, Supply chain collaboration: conceptualisation and instrument development, International Journal of Production Research, Vol. 48 (22), pp. 6613-6635, 2010. doi: 10.1080/00207540903349039.
[29] G. Xie, W. Yue, S. Wang, K. K. Lai, Quality investment and price decision in a risk-averse supply chain, European Journal of Operational Research, Vol. 214, pp. 403-410, 2011. doi: 10.1016/j.ejor.2011.04.036.
[30] U. Reisgen, M. Beckers, G. Buchholz, K. Willms, Progress Towards Model Based Optimisation Of Gas Metal Arc Welding Processes, Welding in the World, Vol. 56 (9), pp. 35-40, 2012.
[31] D. N. Shackleton, Reducing failure risk in welded components, Welding in the World, Vol. 50 (9-10), pp. 92-97, 2006.
[32] N. Katz, D. Lazer, H. Arrow, N. Contractor, Network Theory of Small Groups, Small Group Research, Vol. 35 (3), pp. 307-332, 2004.
[33] R. Sebastiani, D. Corsaro, F. Montagnini, A. Tzannis, Marketing in Trasition: Scarcity, Globalism, & Sustainability, Proc. Academy of Marketing Science, pp. 8–12, 2009.
[34] D. Ford, L-E. Gadde, H. Håkansson, A. Lundgren, I. Snehota, P. Turnbull, D. Wilson, Managing Business Relationships (John Wiley & Sons, 1998).
[35] S. Ö. Ekici, Ö. Kabak, F. Ûlening, Linking to compete: Logistics and global competitiveness interaction, Transport Policy, Vol. 48, pp. 117-128, 2016. doi: 10.1016/j.tranpol.2016.01.015.
[36] A. Awheda, M. Nizam, A. Rahman, R. Ramli, H. Arshad, Factors related to supply chain network members in SMEs, Journal of Manufacturing Technology Management, Vol. 27 (2), pp. 312-335, 2016. doi: 10.1108/JMTM-01-2015-0005.
[37] T. Paksoy, E. Özceylan, G-W. Weber, Profit oriented supply chain network optimization, Central European Journal of Operation Research, Vol. 21, pp. 455-478, 2013. doi: 10.1007/s10100-012-0240-0.
[38] F. Pan, R. Nagi, Multi-echelon supply chain network design in agile manufacturing, The International Journal of Management Science, Vol. Omega 41, pp. 969-983, 2013. doi: 10.1016/j.omega.2012.12.004.
[39] H. Håkansson, D. Ford, How should companies interact in business networks, Journal of Business Research, Vol. 55 (2), pp. 133-139, 2002. doi: 10.1016/S0148-2963(00)00148-X.
[40] M. Barrat, R. Barrat, Exploring internal and external supply chain linkages: Evidence from the field, Journal of Operations Management, Vol. 29, pp. 514-528, 2011. doi: 10.1016/j.jom.2010.11.006.
[41] A. Giroud, J. Scott-Kennel, MNE linkages in international business: A framework for analysis, International Business Review, Vol. 18 (6), pp. 555-566, 2009. doi: 10.1016/j.ibusrev.2009.07.004.
[42] K. Mason, S. Leek, Learning to Build a Supply Network: An Exploration of Dynamic Business Models, Journal of Management Studies, Vol. 45 (4), pp. 774-799, 2008. doi: 10.1111/j.1467-6486.2008.00769.x.
[43] J-S. Chen, R. V. Mahto, A. S. Lovvorn, A Conceptual Framework on Knowledge Transfer within Multinational Corporations: A Strategic Orientation, International Journal of Management, Vol. 30 (4), pp. 322-339, 2013.
[44] M. Mulder, Competentieontwikkeling in organisaties. Perspectieven en praktijk (Elsevier, 2001).
[45] G. Liu, S. P. Sethi, J. Zhang, Myopic vs. far-sighted behaviours in a revenue-sharing supply chain with reference quality effects, International Journal of Production Research, 2015. doi: 10.1080/00207543.2015.1068962.
[46] G. Copani, M. Urgo, Innovative flexibility-oriented business models and system configuration approaches: An industrial application, CIRP Journal of Manufacturing Science and Technology, Vol. 11, pp. 10-17, 2015. doi: 10.1016/j.cirpj.2015.05.008.
[47] A. B. Steven, Y. Dong, T. Corsi, Global sourcing and quality recalls: An empirical study of outsourcing-supplier concentration-product recalls linkages, Journal of Operations Management, Vol. 32 (5), pp. 241-253, 2014. doi: 10.1016/j.jom.2014.04.003.
[48] R. Xiao, Z. Cai, X. Zhang, A Production Optimization Model of Supply-driven Chain with Quality Uncertainty, Journal of Systems Science and Systems Engineering, Vol. 21 (2), pp. 144-160, 2012. doi: 10.1007/s11518-011-5184-8.
[49] J. Toivanen, H. Eskelinen, P. Kah, J. Martikainen, Connection Between the Number of Complaints About Welding Suppliers and End Product Quality: The Case of Customized Welding Production, International Journal of Mechanical Engineering and Applications, Vol. 4 (2), pp. 43-49, 2016. doi: 10.11648/j.ijmea.20160402.12.
[50] T. Gruber, S. C. Henneberg, B. Ashnai, P. Naudé, Complaint resolution management expectations in an asymmetric business-to-business context, Journal of Business & Industrial Marketing, Vol. 25 (5), pp. 360-371, 2010. doi:10.1108/08858621011058124.
[51] M. M. Ahmad, N. Dhafr, Establishing and improving manufacturing performance measures, Robotics and Computer Integrated Manufacturing, Vol. 18 (3-4) pp. 171-176, 2002. doi: 10.1016/S0736-5845(02)00007-8.
[52] X. Tang, H. Yun, Data model for quality in product lifecycle, Computers in industry, Vol. 59 (2-3) pp. 167-179, 2008. doi: 10.1016/j.compind.2007.06.011.
[53] M. A. Bellamy, R. C. Basole, Network Analysis of Supply Chain Systems: A Systematic Review and Future Research, Systems Engineering, Vol. 16 (2), pp. 235-249, 2013. doi: 10.1002/sys.21238.
[54] Y. Kim, T. Y. Choi, T. Yan, K. Dooley, Structural investigation of supply networks: A social network analysis approach, Journal of Operations Management, Vol. 29 (3), pp. 194-211, 2011. doi: doi:10.1016/j.jom.2010.11.001.
[55] R. K. Yin, Case Study Research: Designs and Methods (Sage Publication, 1994).
[56] A. Halinen, J-Å. Törnroos, Using case methods in the study of contemporary business networks, Journal of Business Research, Vol. 58 (9), pp. 1285-1297, 2005. doi: 10.1016/j.jbusres.2004.02.001.
[57] G. Guest, E. E. Namey, M. L. Mitchell, Collecting Qualitative Data: A Field Manual for Applied Research (Sage Publications Inc., 2013).
[58] R. E. Kass, U. T. Eden, E. N. Brown, Analysis of Neural Data (2nd edition, Springer, 2014).
[59] B. Render, R. M. Stair Jr., M. E. Hanna, Quantitative Analysis for Management (8th edition, Prentice Hall, 2003).
[60] M. B. Miles, A. M. Huberman, Qualitative Data Analysis: An Expanded Sourcebook (2nd edition, Sage Publications Inc., 1994).
[61] R. Mcadam, S. Mcintyre, A business process improvement methodology which incorporates learning organization concepts, Total Quality Management, Vol. 8 (2-3), pp. 221-225, 1997. doi: 10.1080/09544129710071.
[62] P. Ravesteyn, S. Jansen, AMCIS 2009 Proceedings, Proc. AMCIS, San Francisco, 2009, Paper 632.
[63] C. Cabanillas, M. Resinas, A. Ruiz-Cortés, Automated Resource Assignment in BPMN Models Using RACI Matrices, In R. Meersman et al. (Ed.), OTM 2012 (Springer, 2012, 56-73). doi: 10.1007/978-3-642-33606-5_5.
[64] J. Toivanen, J. Martikainen, P. Heilmann, From supply chain to welding network: A framework of the prospects of networks in welding, Mechanika, Vol. 21 (2), pp. 154-160, 2015. doi: 10.5755/j01.mech.21.2.8463.
[65] C. Ramos, Developing Network Pictures as a Research Tool: Capturing the Output of Individuals' Sense-making in Organisational Networks, Ph.D. dissertation, University of Bath, 2008.
Cite This Article
  • APA Style

    Jenni Toivanen, Harri Eskelinen, Paul Kah, Jukka Martikainen, Pia Heilmann. (2017). A New Approach to Manage Welding Quality in Supply Chain Networks: A Supplier Network Complaints Perspective. International Journal of Mechanical Engineering and Applications, 5(2), 95-106. https://doi.org/10.11648/j.ijmea.20170502.14

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    ACS Style

    Jenni Toivanen; Harri Eskelinen; Paul Kah; Jukka Martikainen; Pia Heilmann. A New Approach to Manage Welding Quality in Supply Chain Networks: A Supplier Network Complaints Perspective. Int. J. Mech. Eng. Appl. 2017, 5(2), 95-106. doi: 10.11648/j.ijmea.20170502.14

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    AMA Style

    Jenni Toivanen, Harri Eskelinen, Paul Kah, Jukka Martikainen, Pia Heilmann. A New Approach to Manage Welding Quality in Supply Chain Networks: A Supplier Network Complaints Perspective. Int J Mech Eng Appl. 2017;5(2):95-106. doi: 10.11648/j.ijmea.20170502.14

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  • @article{10.11648/j.ijmea.20170502.14,
      author = {Jenni Toivanen and Harri Eskelinen and Paul Kah and Jukka Martikainen and Pia Heilmann},
      title = {A New Approach to Manage Welding Quality in Supply Chain Networks: A Supplier Network Complaints Perspective},
      journal = {International Journal of Mechanical Engineering and Applications},
      volume = {5},
      number = {2},
      pages = {95-106},
      doi = {10.11648/j.ijmea.20170502.14},
      url = {https://doi.org/10.11648/j.ijmea.20170502.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20170502.14},
      abstract = {This study presents a five-step method for analysis of supply chain networks from the perspective of the welding quality of manufactured products. The presented approach gives tools to take care of welding quality assessment in supply chain networks. The study uses data based analysis of complaints data and survey results to provide information that may assist managerial decision-making and supplier-related marketing activities. The results reflect the importance of information sharing as a means to reduce the number of complaints and show that combining production data and information about the production offers potential for manufacturing quality development in the supply chain network. The study uses applied RACI matrix and the case of a welding supply chain network to establish the findings. The case example discusses the observations dealing with GMAW process.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - A New Approach to Manage Welding Quality in Supply Chain Networks: A Supplier Network Complaints Perspective
    AU  - Jenni Toivanen
    AU  - Harri Eskelinen
    AU  - Paul Kah
    AU  - Jukka Martikainen
    AU  - Pia Heilmann
    Y1  - 2017/03/28
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ijmea.20170502.14
    DO  - 10.11648/j.ijmea.20170502.14
    T2  - International Journal of Mechanical Engineering and Applications
    JF  - International Journal of Mechanical Engineering and Applications
    JO  - International Journal of Mechanical Engineering and Applications
    SP  - 95
    EP  - 106
    PB  - Science Publishing Group
    SN  - 2330-0248
    UR  - https://doi.org/10.11648/j.ijmea.20170502.14
    AB  - This study presents a five-step method for analysis of supply chain networks from the perspective of the welding quality of manufactured products. The presented approach gives tools to take care of welding quality assessment in supply chain networks. The study uses data based analysis of complaints data and survey results to provide information that may assist managerial decision-making and supplier-related marketing activities. The results reflect the importance of information sharing as a means to reduce the number of complaints and show that combining production data and information about the production offers potential for manufacturing quality development in the supply chain network. The study uses applied RACI matrix and the case of a welding supply chain network to establish the findings. The case example discusses the observations dealing with GMAW process.
    VL  - 5
    IS  - 2
    ER  - 

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Author Information
  • School of Energy Systems (Welding Technology), Lappeenranta University of Technology, Lappeenranta, Finland

  • School of Energy Systems (Manufacturing Technology), Lappeenranta University of Technology, Lappeenranta, Finland

  • School of Energy Systems (Welding Technology), Lappeenranta University of Technology, Lappeenranta, Finland

  • School of Energy Systems (Welding Technology), Lappeenranta University of Technology, Lappeenranta, Finland

  • School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland

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