SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION: COMPREHENSIVE LITERATURE REVIEW

Year 2019, Volume: 2 Issue: 2, 17 - 32, 25.12.2019

Emel Yontar Süleyman Ersöz

Abstract

Supply Chain Management Performance Evaluation (SCMPE)
has become a necessity for businesses. In this study, the publications in the
field of performance evaluation in supply chain management are analyzed. The
distribution of the studies which deal with the issue of SCMPE is between
1991-2019 according to years. The literature review is made on the databases
ScienceDirect, Scopus, Taylor&Francis Online and Emerald by using the
keywords (Supply Chain Management, Performance
Evaluation, Performance Assessment). For SCMPE, as a result of
publications reviewed, it is seen that the most frequently used model
encountered in literature researches is SCOR-based studies and Balanced Scored
Card, model. However, recent research has drawn attention to those using
different or integrated methods of performance evaluation in supply chain
management. Performance evaluation criteria are determined as the most studied
and least studied. For future
studies, the scope of the study can be extended by adding more databases.

Keywords

Supply Chain Management, Performance Evaluation, Measurement Metrics

SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION: COMPREHENSIVE LITERATURE REVIEW

Abstract

Supply Chain Management Performance Evaluation (SCMPE) has become a necessity for businesses. In this study, the publications in the field of performance evaluation in supply chain management are analyzed. The distribution of the studies which deal with the issue of SCMPE is between 1991-2019 according to years. The literature review is made on the databases ScienceDirect, Scopus, Taylor&Francis Online and Emerald by using the keywords (Supply Chain Management, Performance Evaluation, Performance Assessment). For SCMPE, as a result of publications reviewed, it is seen that the most frequently used model encountered in literature researches is SCOR-based studies and Balanced Scored Card, model. However, recent research has drawn attention to those using different or integrated methods of performance evaluation in supply chain management. Performance evaluation criteria are determined as the most studied and least studied. For future studies, the scope of the study can be extended by adding more databases.

Keywords

Supply Chain Management, Performance Evaluation, Measurement Metrics

References

• Abou-Eleaz M. “A Critical Review of Supply Chain Performance Evaluation”, International Journal of Engineering Research & Technology (IJERT) Vol. 4 Issue 06, June (2015).
• Agami, Nedaa, Mohamed Saleh, and Mohamed Rasmy. "Supply chain performance measurement approaches: Review and classification." Journal of Organizational Management Studies2012 (2012).
• Ağar F., Tedarik Zinciri Yönetiminde Scor Modeli, Tedarik Süreci Performans Değerlendirmesi ve Scorcard Uygulaması, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü Yüksek Lisans Tezi, İstanbul, 2010.
• Akbulut İ., Gri İlişkisel Analiz İle Tedarik Zinciri Performansının Değerlendirilmesi; Otomotiv Sektöründe Bir Uygulama, Uşak Üniversitesi Sosyal Bilimler Enstitüsü, Yüksek Lisans Tezi, Uşak, 2016.
• Alomar, Madani, and Zbigniew J. Pasek. "Linking supply chain strategy and processes to performance improvement." Procedia CIRP 17 (2014): 628-634.
• Anand, Neeraj, and Neha Grover. "Measuring retail supply chain performance: Theoretical model using key performance indicators (KPIs)." Benchmarking: An international journal 22.1 (2015): 135-166.
• Angerhofer, Bernhard J., and Marios C. Angelides. "A model and a performance measurement system for collaborative supply chains." Decision support systems 42.1 (2006): 283-301.
• Aramyan, Lusine H., et al. "Performance measurement in agri-food supply chains: a case study." Supply Chain Management: An International Journal 12.4 (2007): 304-315.
• Arif-Uz-Zaman, Kazi, and A. M. M. Nazmul Ahsan. "Lean supply chain performance measure-ment." International Journal of Productivity and Performance Management 63.5 (2014): 588-612.
• Ayçın E., Özveri O., Bulanık Modelleme İle Tedarik Zinciri Performansının Değerlendirilmesi Ve İmalat Sektöründe Bir Uygulama, Journal of Economics and Administrative Sciences-Volume: XVII Issue:1, 51-60, 2015.
• Aydogdu F., Tedarik Zinciri Yönetiminde SCOR Modeli Ve Veri Zarflama Analizi Entegrasyonu, Yüksek Lisans Tezi, Endüstri Mühendisliği, Gazi Üniversitesi, Fen Bilimleri Enstitüsü, Ankara, 2011.
• Bagchi, Prabir K. "Role of benchmarking as a competitive strategy: the logistics experience." International Journal of Physical Distribution & Logistics Management 26.2 (1996): 4-22.
• Beamon, Benita M. "Supply chain design and analysis: Models and methods." International journal of production economics55.3 (1998): 281-294.
• Beamon, Benita M. "Measuring supply chain performance." International journal of operations & production management19.3 (1999): 275-292.
• Beierlein, James G., and Christopher A. Miller. "Performance Measures, and Measurement in Supply Chains in the Food System." Food Industry Report (2000).
• Bıçakçı P. Üreten S., Tedarik Zinciri Yönetimi Uygulamalarının Zincir Performansı Üzerindeki Etkileri: Bir Uygulama, Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 19/1, 367-386, 2017.
• Brewer, Peter C., and Thomas W. Speh. "Using the balanced scorecard to measure supply chain performance." Journal of Business logistics 21.1 (2000): 75.
• Bullinger, Hans-Jörg, Michael Kühner, and Antonius Van Hoof. "Analysing supply chain perfor-mance using a balanced measurement method." International Journal of Production Rese-arch 40.15 (2002): 3533-3543.
• Cai, Jian, et al. "Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment." Decision support systems 46.2 (2009): 512-521.
• Carvalho, Helena, Susana Garrido Azevedo, and Virgilio Cruz-Machado. "Agile and resilient approaches to supply chain management: influence on performance and competitiveness." Logistics research 4.1-2 (2012): 49-62.
• Chae, Bongsug. "Developing key performance indicators for supply chain: an industry perspec-tive." Supply Chain Management: An International Journal 14.6 (2009): 422-428.
• Chan, Felix TS. "Performance measurement in a supply chain." The international journal of advanced manufacturing technology21.7 (2003b): 534-548.
• Chan, Felix TS, et al. "A conceptual model of performance measurement for supply chains." Management decision 41.7 (2003): 635-642.
• Chen, Injazz J., YeonYeob Lee, and Antony Paulraj. "Does a purchasing manager’s need for cognitive closure (NFCC) affect decision-making uncertainty and supply chain performan-ce?." International Journal of Production Research 52.23 (2014): 6878-6898.
• Chimhamhiwa, Dorman, et al. "Towards a framework for measuring end to end performance of land administration business processes–A case study." Computers, environment and urban systems 33.4 (2009): 293-301.
• Cho, Dong Won, et al. "A framework for measuring the performance of service supply chain management." Computers & Industrial Engineering 62.3 (2012): 801-818.
• De Toni, Alberto, and Stefano Tonchia. "Performance measurement systems-models, characte-ristics and measures." International Journal of Operations & Production Manage-ment21.1/2 (2001): 46-71.
• Deva N., Shankarb R., Guptac R., Dongd J., Multi-criteria evaluation of real-time key performan-ce indicators of supply chain with consideration of big data architecture, Computers & In-dustrial Engineering 128 (2019) 1076–1087.
• Dissanayake C. K., Cross J. A., Systematic mechanism for identifying the relative impact of supply chain performance areas on the overall supply chain performance using SCOR mo-del and SEM, International Journal of Production Economics 201 (2018) 102–115
• Ecevit Satı Z., Öçlü B., Lojistik Yönetimi Faaliyetlerinin Türkiye Perakende Sektöründe Faaliyet Gösteren İşletmelerin Tedarik Zinciri Yönetimi Performansı Üzerine Etkileri, İstanbul Üni-versitesi/Siyasal Bilgiler Fakültesi İstanbul Üniversitesi/Sosyal Bilimler Enstitüsü, 12. Ulusal Üretim Araştırmaları (ÜAS12) Sempozyumu, ss.731-745 2012.
• Elrod, Cassandra, Susan Murray, and Sundeep Bande. "A review of performance metrics for supply chain management." Engineering Management Journal 25.3 (2013): 39-50.
• Fitzgerald, L., Johnston, R., Brignall, S., Silvestro, R. and Voss, C., "Performance measurement in service businesses." Management Accounting 69.10 (1991): 34-36.
• Fleisch, Elgar, and Christian Tellkamp. "Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain." International journal of production economics 95.3 (2005): 373-385.
• Gamme N., Johansson M., Measuring Supply Chain Performance Through KPI Identification and Evaluation, Department of Technology Management and Economics, Master’s thesis in “Supply Chain Management” and "Quality and Operations Management”, Chalmers Univer-sity of Technology, Gothenburg, Sweden 2015.
• Ganga, Gilberto Miller Devós, Luiz Cesar Ribeiro Carpinetti, and Paulo Rogério Politano. "A fuzzy logic approach to supply chain performance management." Gestão & Produção 18.4 (2011): 755-774.
• Golrizgashti, Seyedehfatemeh. "Supply chain value creation methodology under BSC appro-ach." Journal of Industrial Engineering International 10.3 (2014): 67.
• Gunasekaran, Angappa, Chaitali Patel, and Ercan Tirtiroglu. "Performance measures and met-rics in a supply chain environment." International journal of operations & production Ma-nagement 21.1/2 (2001): 71-87.
• Gunasekaran, Angappa, Christopher Patel, and Ronald E. McGaughey. "A framework for supply chain performance measurement." International journal of production economics87.3 (2004): 333-347.
• Gunasekaran, Angappa, and Bulent Kobu. "Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995–2004) for research and applications." International journal of production research 45.12 (2007): 2819-2840.
• Huang C., Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model, Tourism Management 65 (2018) 303-316.
• Hull, Bradley. "The role of elasticity in supply chain performance." International Journal of Production Economics98.3 (2005): 301-314.
• Lima-Junior, Francisco Rodrigues, and Luiz Cesar Ribeiro Carpinetti. "Quantitative models for supply chain performance evaluation: A literature review." Computers & Industrial Engine-ering 113 (2017): 333-346.
• Kaplan, R.S. (Editor). Measures for Manufacturing Excellence, 1990 (Harvard Business School Press: Boston, MA).
• Kaplan R, Norton D (1992) The balanced scorecard: measures that drive performance. Harv Bus Rev 70(1):71–99.
• Kaplan, R.S., Norton, D.P., Balanced scorecard: translating strategy into action. 4 th Edition. Harvard Business School Press, Boston, 1997.
• Kazemkhanlou, Hamid, and Hamid Reza Ahadi. "Study of performance measurement practices in supply chain management." Proceedings of the 2014 International Conference on In-dustrial Engineering and Operations Management Bali, Indonesia. 2014.
• Kocaoglu B., Tedarik Zinciri Performansı Ölçümü İçin Stratejik Ve Operasyonel Hedefleri Bütün-leştiren SCOR Modeli Temelli Bir Yapı, Doktora Tezi, Yıldız Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, 2009.
• Kocaoglu Y., Tedarik Zinciri Yönetiminde ERPII Kullanımının, İşletme Tedarik Zinciri Yönetimi Performansına Etkisi, Endüstri Mühendisliği Anabilim Dalı, Yüksek Lisans Tezi, 2013.
• Kozarevića S and Puškab A., Use of fuzzy logic for measuring practices and performances of supply chain, Operations Research Perspectives 5 (2018) 150–160.
• Li, Suhong, et al. "The impact of supply chain management practices on competitive advantage and organizational performance." Omega 34.2 (2006): 107-124.
• Li, Zhengping, Xiaoxia Xu, and Arun Kumar. "Supply chain performance evaluation from struc-tural and operational levels." Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on. IEEE, 2007.
• Lin, Fu-ren, Sheng-hsiu Huang, and Sheng-cheng Lin. "Effects of information sharing on supply chain performance in electronic commerce." IEEE Transactions on engineering manage-ment49.3 (2002): 258-268.
• Macchion, Laura, Rosanna Fornasiero, and Andrea Vinelli. "Supply chain configurations: a mo-del to evaluate performance in customised productions." International Journal of Produc-tion Research 55.5 (2017): 1386-1399.
• Maestrini, Vieri, et al. "Supply chain performance measurement systems: A systematic review and research agenda." International Journal of Production Economics 183 (2017): 299-315.
• Maskell, B., Performance measures of world class manufacturing. Manag. Account., 1989, 67, 32–33.
• Narasimhan, Ram, Jayaram Jayanth, Causal Linkages In Supply Chain Management: An Explora-tory Study of North American Manufacturing Firms”, Decision Sciences, Volume 29, Num-ber 3, Summer, 1998.
• Neely, Andy, Mike Gregory, and Ken Platts. "Performance measurement system design: a lite-rature review and research agenda." International journal of operations & production ma-nagement 15.4 (1995): 80-116.
• Otto, Andreas, and Herbert Kotzab. "Does supply chain management really pay? Six perspecti-ves to measure the performance of managing a supply chain." European Journal of Opera-tional Research 144.2 (2003): 306-320.
• Özalp Ö., Tedarik Zinciri Performansının Ölçümü: Ekonomik Katma Değer Yönteminin Analizi, Dokuz Eylül Üniversitesi, Sosyal Bilimler Enstitüsü, Yüksek Lisans Tezi, İzmir, 2016.
• Özbakır S., Tedarik Zincirinde Dengeli Performans Kartı Yaklaşımı, İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İsletme Anabilim Dalı, Yüksek Lisans Tezi, İstanbul, 2010.
• Parker, Charles. "Performance measurement." Work study 49.2 (2000): 63-66.
• Persson, Fredrik, and Jan Olhager. "Performance simulation of supply chain designs." Interna-tional journal of production economics 77.3 (2002): 231-245.
• Pires, Sílvio RI, and Carlos HM Aravechia. "Measuring supply chain performance." Anais da XII annual conference of POMS. 2001.
• Ramezankhani M.J., Torabi S. A., Vahidi F., Supply chain performance measurement and evalua-tion: A mixed sustainability and resilience approach, Computers & Industrial Engineering 126 (2018) 531–548.
• Rexhausen, Daniel, Richard Pibernik, and Gernot Kaiser. "Customer-facing supply chain practi-ces—The impact of demand and distribution management on supply chain success." Jour-nal of Operations Management 30.4 (2012): 269-281.
• Rodriguez-Rodriguez, Raul, et al. "Building internal business scenarios based on real data from a performance measurement system." Technological Forecasting and Social Change 77.1 (2010): 50-62.
• Sellitto, Miguel Afonso, et al. "A SCOR-based model for supply chain performance measure-ment: application in the footwear industry." International Journal of Production Research 53.16 (2015): 4917-4926.
• Shafiee, Morteza, and N. Shams-e-Alam. "Supply chain performance evaluation with rough data envelopment analysis." 2010 International Conference on Business and Economics Rese-arch. Vol. 1. 2011.
• Shepherd, Craig, and Hannes Günter. "Measuring supply chain performance: current research and future directions." Behavioral Operations in Planning and Scheduling. Springer, Berlin, Heidelberg, 2006. 105-121.
• Shi, Wenli, and Tianbao Gao. "Supply Chain Performance Evaluation Model Based on Unascer-tained Clustering." Rev. Téc. Ing. Univ. Zulia. Vol. 39, Nº 6, 195- 201, 2016.
• Sillanpää, Ilkka, and Pekka Kess. "The literature review of supply chain performance measure-ment in the manufacturing industry." Management and Production Engineering Review 3.2 (2012): 79-88.
• Sillanpää, Ilkka. "Empirical study of measuring supply chain performance." Benchmarking: An International Journal 22.2 (2015): 290-308.
• Stock, James R., and Jay P. Mulki. "Product returns processing: an examination of practices of manufacturers, wholesalers/distributors, and retailers." Journal of business logistics 30.1 (2009): 33-62.
• Sun J., Wang C., Xiang Ji, Wuc J. Performance evaluation of heterogeneous bank supply chain systems from the perspective of measurement and decomposition, Computers & Industrial Engineering 113 (2017) 891–903.
• Şen, E., Kobilerin Uluslararası Rekabet Güçlerini Artırmada Tedarik Zinciri Yönetiminin Önemi”, İGEME Yayınları, Ankara, 1-56, 2006.
• Tao, Xiaoyan. "Performance evaluation of supply chain based on fuzzy matter-element theory." Information Management, Innovation Management and Industrial Engineering, 2009 Inter-national Conference on. Vol. 1. IEEE, 2009.
• Tarafdar, Monideepa, and Sufian Qrunfleh. "Agile supply chain strategy and supply chain per-formance: complementary roles of supply chain practices and information systems capabi-lity for agility." International Journal of Production Research 55.4 (2017): 925-938.
• Van Hoek, Remko I. "“Measuring the unmeasurable”-measuring and improving performance in the supply chain." Supply Chain Management: An International Journal 3.4 (1998): 187-192.
• Xu, Jiuping, Bin Li, and Desheng Wu. "Rough data envelopment analysis and its application to supply chain performance evaluation." International Journal of Production Economics 122.2 (2009): 628-638.
• Yeong-Dong Hwang,, Yi-Ching Lin, and Jung Lyu Jr. "The performance evaluation of SCOR sour-cing process—The case study of Taiwan's TFT-LCD industry." International Journal of Pro-duction Economics 115.2 (2008): 411-423.
• Yavuz O., Ersoy A., Tedarik Zinciri Performansının Değerlendirilmesinde Kullanılan Değişkenle-rin Yapay Sinir Ağı Yöntemiyle Değerlendirilmesi, Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 15 /2, 209-256, 2013.
• Zhang, Huilan, and Sam C. Okoroafo. "Third-party logistics (3PL) and supply chain performance in the Chinese market: a conceptual framework." Engineering Management Research 4.1 (2015): 38.
• Zhu, Jiulong. "Notice of Retraction Evaluation of supply chain performance based on BP neural network." Computer Engineering and Technology (ICCET), 2010 2nd International Confe-rence on. Vol. 1. IEEE, 2010.