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Year 2019, Volume: 3 Issue: 4, 157 - 167, 01.10.2019
https://doi.org/10.31127/tuje.503959

Abstract

References

  • 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.
  • Akçalı, E. and Çetinkaya, S., Quantitative models for inventory and production planning in closed-loop supply chains, International Journal Of Production Research, 49 (8), 2373–2407, 2011.
  • Aldemir G., A Closed loop sustainable supply chain network design for waste electrical & electronic equipment, Yüksek Lisans Tezi, İstanbul Teknik Üniversitesi, İstanbul, 2016.
  • Alomar, Madani, and Zbigniew J. Pasek. "Linking supply chain strategy and processes to performance improvement." Procedia CIRP 17 (2014): 628-634.
  • Amaro, A. C. S., and Barbosa-Povoa, A. P. F. D.. The effect of uncertainty on the optimal closed-loop supply chain planning under different partnerships structure. Computers & Chemical Engineering, 33(12), 2144–2158, 2009.
  • Amin, S. H., Zhang, G., A Multi-Objective facility location model for closed-loop supply chain network under uncertain demand and return, Applied Mathematical Modelling, 37 (2013) 4165–4176, 2013.
  • 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 measurement." International Journal of Productivity and Performance Management 63.5 (2014): 588-612.
  • Arun Vasantha Geethan, K., S. Jose, and C. Sunil Chandar. "Methodology for performance evaluation of reverse supply chain." International Journal of Engineering and Technology 3.3 (2011): 213-224
  • Ayçın E., Özveri O., Bulanık modelleme ile tedarik zinciri performansının değerlendirilmesi ve imalat sektöründe bir uygulama, Journal of Economics and Administrative Sciences-Volume: XVII Issue:1, 51-60, 2015.
  • Aydoğdu 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.
  • Bansia, Milind, Jayson K. Varkey, and Saurabh Agrawal. "Development of a Reverse Logistics Performance Measurement System for a battery manufacturer." Procedia Materials Science6 (2014): 1419-1427.
  • Beamon, Benita M. "Measuring supply chain performance." International journal of operations & production management19.3 (1999): 275-292.
  • Beamon, Benita M. "Supply chain design and analysis: Models and methods." International journal of production economics55.3 (1998): 281-294.
  • Beierlein, James G., and Christopher A. Miller. "Performance Measures, and Measurement in Supply Chains in the Food System." Food Industry Report (2000).
  • Bloemhof-Ruwaard, J.M., Van Wassenhove, L.N., Gabel, H.L. And Weaver, P.M., An environmental life cycle optimization model for the European pulp and paper industry, Omega, 24 (6), 615–629, 2005.
  • 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 performance using a balanced measurement method." International Journal of Production Research 40.15 (2002): 3533-3543.
  • Butar, Maulida Butar, David Sanders, and Regina Frei. "Measuring performance of reverse supply chains in a carpet manufacturer." Journal of Advanced Management Science 4.2 (2016): 152-158.
  • 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 perspective." Supply Chain Management: An International Journal 14.6 (2009): 422-428.
  • Chan, Felix TS, et al.. "A conceptual model of performance measurement for supply chains." Management decision 41.7 (2003): 635-642.
  • Chen Vd., Inventory management in a closed-loop supply chain with advance demand information, Operations Research Letters 45, 175–180, 2017.
  • 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, characteristics and measures." International Journal of Operations & Production Management21.1/2 (2001): 46-71.
  • Demirel, N. and Gökçen, H., A Mixed integer programming model for remanufacturing in reverse logistics environment, International Journal of Advanced Manufacturing Technology, 39 (11–12), 1197–1206, 2008a.
  • Easwaran, G. and Üster, H., A Closed-Loop supply chain network design problem with integrated forward and reverse channel decisions, IIE Transactions, 42 (11), 779–792, 2010.
  • Elrod, Cassandra, Susan Murray, and Sundeep Bande. "A review of performance metrics for supply chain management." Engineering Management Journal 25.3 (2013): 39-50.
  • Fernandes, Sheila Mendes, et al.. "Systematic literature review on the ways of measuring the of reverse logistics performance." Gestão & Produção AHEAD (2017): 0-0.
  • 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.
  • Fleischmann, M., Bloemhof-Ruwaard, J.M., Dekker, R., Van Der Laan, E., Van Nunen, J.A.E.E. And Van Wassenhove, L.N., Quantitative models for reverse logistics: a review, European Journal Of Operational Research, 103 (1), 1–17, 1997.
  • 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 University 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 approach." Journal of Industrial Engineering International 10.3 (2014): 67.
  • Guide, V. D. R.,, Jayaraman V., Linton J. D., Building Contingency Planning For Closed-Loop Supply Chains With Product Recovery, Journal Of Operations Management, 21 (2003) 259–279, 2003.
  • Guimarães da Silveira, José Leonardo, and Valério Antonio Pamplona Salomon. "ANP applied to the evaluation of performance indicators of reverse logistics in footwear industry." Procedia Computer Science 55 (2015): 139-148.
  • Gunasekaran, Angappa, Chaitali Patel, and Ercan Tirtiroglu. "Performance measures and metrics in a supply chain environment." International journal of operations & production Management 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 economics 87.3 (2004): 333-347.
  • Hernández, Cecilia Toledo, et al.. "Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian automotive industry." Proceeding of Proceedings of the 10th International Symposium on the Analytic Hierarchy/Network Process Multi-criteria Decision Making held at Pennsylvania, USA. 2009.
  • Hu, T., Sheu, J. And Huan, K., A Reverse logistics cost minimization model for the treatment of hazardous wastes, Transportation Research Part E, 38 (6), 457–473, 2002.
  • Kaplan, R.S., Norton, D.P., Balanced scorecard: translating strategy into action. 4 th Edition. Harvard Business School Press, Boston, 1997.
  • Karakaş, B. and Ak R., “Kamu yönetiminde performans yönetimi önemli midir?”, Kamu Yönetiminde Kalite 3. Ulusal Kongresi Bildirileri, TODAİE Yayınları No: 319, Ankara, 2003, ss. 337-351.
  • Kenne, J.-P., Dejax, P. and Gharbi, A., Production planning of a hybrid manufacturing-remanufacturing system under uncertainty within a closed-loop supply chain, International Journal Of Production Economics, 135 (1), 81–93, 2012.
  • Kocaoğlu B., Tedarik zinciri performansı ölçümü için stratejik ve operasyonel hedefleri bütünleştiren SCOR modeli temelli bir yapı, Doktora Tezi, Yıldız Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, 2009.
  • Krikke, H., Bloemhof-Ruwaard, J. and Van Wassenhove, L.N., 2003, Concurrent product and closed-loop supply chain design with an application to refrigerators, International Journal of Production Research, 41 (16), 3689–3719, 2003.
  • Li, Zhengping, Xiaoxia Xu, and Arun Kumar. "Supply chain performance evaluation from structural and operational levels." Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on. IEEE, 2007.
  • Lu, Z., and Bostel, N., A Facility location model for logistics systems including reverse flows: the case of remanufacturing activities. Computers & Operations Research, 34(2), 299–323, 2007.
  • Momeni, Ehsan, et al.. "A new fuzzy network slacksbased DEA model for evaluating performance of supply chains with reverse logistics." Journal of Intelligent & Fuzzy Systems 27.2 (2014): 793-804.
  • Mondragon, A.E.C., Lalwani, C. And Mondragon, C.E.C., Measures for auditing, performance and integration in closed-loop supply chains, Supply Chain Management: An International Journal, 16 (1), 43–56, 2011.
  • Moshtaghfard R., Arbabshirani B., Alinaghian M., Reverse Logistics Performance Measurement by Integrated Balanced Scorecard and Data Envelopment Analysis (Case Study in Pak Dairy Co.), International Journal of Advances in Management Science (IJ-AMS), Volume 5, 2016.
  • Narasımhan, Ram, Jayaram Jayanth, Causal linkages in supply chain management: an exploratory study of north American manufacturing firms”, Decision Sciences, Volume 29, Number 3, Summer, 1998.
  • Neely, Andy, Mike Gregory, and Ken Platts. "Performance measurement system design: a literature review and research agenda." International journal of operations & production management 15.4 (1995): 80-116.
  • Nizaroyani, Saibani, Performance measurement for reverse and closed-loop supply chains. Diss. University of Nottingham, 2010.
  • Olugu E. U. and Wong K. Y., Fuzzy logic evaluation of reverse logistics performance in the automotive industry, Scientific Research and Essays Vol. 6(7), pp. 1639-1649, 4 April, 2011.
  • Otay İ., Geri kazanımlı kapalı çevrim tedarik zinciri için dağıtım planlama, Doktora Tezi, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, 2015.
  • Otto, Andreas, and Herbert Kotzab. "Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain." European Journal of Operational 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.
  • Özceylan E. et al.., A Closed-Loop supply chain network design for automotive industry in Turkey, Computers & Industrial Engineering Xxx, Xxx–Xxx, 2017.
  • Özceylan, E., Paksoy, T., Ve Bektaş, T., Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing, Transportation Research Part E: Logistics and Transportation Review, 61, 142-164, 2014.
  • Paksoy, T. and Özceylan, E., Supply chain optimization with u-type assembly line balancing, International Journal of Production Research, 50 (18), 5085– 5105, 2012.
  • Paksoy, T., Bektaş, T. and Özceylan, E., Operational and environmental performance measures in a multi-product closed-loop supply chain, Transportation Research Part E, 47 (4), 532–546, 2011.
  • Pandian G., Performance Evaluation of a Reverse Logistics Enterprise-An Agent-Based Modelling Approach, A Thesis the Degree of Master of Applied Science University of Windsor, Department of Industrial and Manufacturing Systems Engineering, Windsor, Ontario, Canada, 2014.
  • Paydar vd., An engine oil closed-loop supply chain design considering collection risk, Computers And Chemical Engineering 104, 38–55, 2017.
  • Persson, Fredrik, and Jan Olhager. "Performance simulation of supply chain designs." International 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.
  • Pochampally, K.K., Nukala, S. And Gupta, S.M., Strategic planning models for reverse and closed-loop supply chains, CRC Press, U.S.A, 2009.
  • Prahinski, C. and Kocabaşoğlu, C., Empirical research opportunities in reverse supply chains, Omega, 34 (6), 519–32, 2006.
  • Qiang, Q., Ke, K., Anderson, T. and Dong, J., The Closed-Loop supply chain network with competition, Distribution Channel Investment, And Uncertainties, Omega, 41 (2), 186–194, 2013,
  • 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.
  • Sangwan, Kuldip Singh. "Key activities, decision variables and performance indicators of reverse logistics." Procedia CIRP 61 (2017): 257-262.
  • Savaşkan, R.C., Bhattacharya, S. And Van Wassenhove, L.N.V., Closed-Loop supply chain models with product remanufacturing, Management Science, 50 (2), 239–252, 2004.
  • Schultmann, F., Zumkeller, M. Ve Rentz, O., Modeling Reverse logistic tasks within closed-loop supply chains: an example from the automotive industry, European Journal of Operational Research, 171, 1033–1050, 2006.
  • Sellitto, Miguel Afonso, et al.. "A SCOR-based model for supply chain performance measurement: 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 Research. Vol. 1. 2011.
  • Shaik, Mohammed Najeeb, and Walid Abdul-Kader. "Comprehensive performance measurement and causaleffect decision making model for reverse logistics enterprise." Computers & Industrial Engineering 68 (2014): 87-103.
  • Shakourloo A. Vd., A New Model For More Effective Supplier Selection And Remanufacturing Process İn A Closed-Loop Supply Chain, Applied Mathematical Modelling 40, 9914–9931, 2016.
  • Shepherd, Craig, and Hannes Günter. "Measuring supply chain performance: current research and future directions." Behavioral Operations in Planning and Scheduling. Springer, Berlin, Heidelberg, 2010. 105-121.
  • Sheu, J.B., Chou, Y.H. and Hu, C.C., An Integrated logistics operational model for green supply chain management, Transportation Research Part E, 41 (4), 287–313, 2005.
  • Shi, Wenli, and Tianbao Gao. "Supply Chain Performance Evaluation Model Based on Unascertained Clustering." Rev. Téc. Ing. Univ. Zulia. Vol. 39, Nº 6, 195- 201, 2016.
  • 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.
  • Şen, E., Kobilerin Uluslararası Rekabet Güçlerini Artırmada Tedarik Zinciri Yönetiminin Önemi”, İGEME Yayınları, Ankara, 1-56, 2006.
  • Talbot, S., Lefebvre, E., & Lefebvre, L. A. Closed-Loop supply chain activities and derived benefits in manufacturing SMES. Journal Of Manufacturing Technology Management, 18(6), 627–658, 2007.
  • Tao, Xiaoyan. "Performance evaluation of supply chain based on fuzzy matter-element theory." Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on. Vol. 1. IEEE, 2009.
  • Thierry, M., Salomon, M. And Van Wassenhove L., Strategic Issues in Product Recovery Management, California Management Review, 37 (2), 114–135, 1995.
  • Tonanont, Ake. Performance evaluation in reverse logistics with data envelopment analysis. Diss. Thesis for Degree of PhD, Faculty of the Graduate School, University of Texas at Arlington, 2009.
  • Tsao Vd., Closed-Loop Supply Chain Network Designs Considering RFID Adoption, Computers & Industrial Engineering Xxx, Xxx–Xxx, 2016.
  • 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.
  • Van Nunen, J.A.E.E. And Zuidwijk, R.A., E-Enabled Closed-Loop Supply Chains, California Management Review, 46 (2), 40–53, 2004.
  • Vishwa, V.K. Chan, F.T.S., Mishra, N. And Kumar, V., Environmental İntegrated Closed Loop Logistics Model: An Artificial Bee Colony Approach, 8th International Conference On Supply Chain Management And Information Systems, 1–7, 2010.
  • Wang, Jui-Chi, and H. Wu. "Corporate performance efficiency investigated by data envelopment analysis and balanced scorecard." The Journal of American Academy of Business 9.2 (2006): 312-318.
  • 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.
  • Yang, Jianhua, Lidong Zang, and Zhangang Hao. "Study on the performance evaluation system of reverse supply chain based on BSC and triangular fuzzy number AHP." Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on. IEEE, 2009.
  • Yang, Jianhua. "On the construction and implementation methods for performance measurement of reverse supply chain." Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on. Vol. 2. IEEE, 2010.
  • Yavuz O., Ersoy A., Tedarik zinciri performansının değerlendirilmesinde kullanılan değişkenlerin yapay sinir ağı yöntemiyle değerlendirilmesi, Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 15 /2, 209-256, 2013.
  • Yellepeddi, S. S., S. Rajagopalan, and D. H. Liles. "A balanced scorecard approach for an effective reverse supply chain in electronics industry." Proceedings of the Annual Conference of International Journal of Industrial Engineering, Clearwater, Florida, USA, December. 2005.
  • Yellepeddi, Srikanth. "An Analytical Network Process (ANP) approach for the development of a reverse supply chain performance index in consumer electronics industry." Faculty of the Graduate School of the University of Texas at Arlington in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy, The University of Texas at Arlington (2006).
  • Yeong-Dong Hwang, Yi-Ching Lin, and Jung Lyu Jr. "The performance evaluation of SCOR sourcing process—The case study of Taiwan's TFT-LCD industry." International Journal of Production Economics 115.2 (2008): 411-423.
  • Zerenler, M. Performans ölçüm sistemleri tasarımı ve üretim sistemlerinin performansının ölçümüne yönelik bir araştırma. Ekon. ve Sos. Araştırmalar Dergisi, 1: 1-36, 2005.
  • Zhu, Jiulong. "Notice of Retraction Evaluation of supply chain performance based on BP neural network." Computer Engineering and Technology (ICCET), 2010 2nd International Conference on. Vol. 1. IEEE, 2010.

CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA

Year 2019, Volume: 3 Issue: 4, 157 - 167, 01.10.2019
https://doi.org/10.31127/tuje.503959

Abstract

Evaluating chain performance to develop an effective supply chain has become a necessity because it plays a critical role in the success of businesses. The most important decision to evaluate the chain performance is the correct selection of indicators. The closed-loop supply chain method consists of a whole of forward and reverse logistics activities. For this reason, advanced supply chain management and reverse supply chain management performances are handled separately in this study. The performance evaluation criteria which are discussed by the authors who work on the supply chain management performance evaluation issues are analyzed and it is stated that the authors make a study by taking into consideration the evaluation criteria. At the same time, the articles examined in reverse supply chain management performance evaluation studies are examined and all criteria are summarized as a table. In the light of these studies, the planned criteria for the use of closed loop supply chain management performance evaluation of the enterprises have emerged. With the main criteria being divided into Economic, Social and Environmental headings, which are supposed to bring innovation to the literature, the sub-criteria are detailed. These titles were brought together both for the first time in closed loop supply chain management performance evaluation and as a main topic in advanced supply chain management. The performance criteria reduced to subheadings will help the experts to continue their studies, and it is thought that they will guide the future studies.

References

  • 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.
  • Akçalı, E. and Çetinkaya, S., Quantitative models for inventory and production planning in closed-loop supply chains, International Journal Of Production Research, 49 (8), 2373–2407, 2011.
  • Aldemir G., A Closed loop sustainable supply chain network design for waste electrical & electronic equipment, Yüksek Lisans Tezi, İstanbul Teknik Üniversitesi, İstanbul, 2016.
  • Alomar, Madani, and Zbigniew J. Pasek. "Linking supply chain strategy and processes to performance improvement." Procedia CIRP 17 (2014): 628-634.
  • Amaro, A. C. S., and Barbosa-Povoa, A. P. F. D.. The effect of uncertainty on the optimal closed-loop supply chain planning under different partnerships structure. Computers & Chemical Engineering, 33(12), 2144–2158, 2009.
  • Amin, S. H., Zhang, G., A Multi-Objective facility location model for closed-loop supply chain network under uncertain demand and return, Applied Mathematical Modelling, 37 (2013) 4165–4176, 2013.
  • 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 measurement." International Journal of Productivity and Performance Management 63.5 (2014): 588-612.
  • Arun Vasantha Geethan, K., S. Jose, and C. Sunil Chandar. "Methodology for performance evaluation of reverse supply chain." International Journal of Engineering and Technology 3.3 (2011): 213-224
  • Ayçın E., Özveri O., Bulanık modelleme ile tedarik zinciri performansının değerlendirilmesi ve imalat sektöründe bir uygulama, Journal of Economics and Administrative Sciences-Volume: XVII Issue:1, 51-60, 2015.
  • Aydoğdu 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.
  • Bansia, Milind, Jayson K. Varkey, and Saurabh Agrawal. "Development of a Reverse Logistics Performance Measurement System for a battery manufacturer." Procedia Materials Science6 (2014): 1419-1427.
  • Beamon, Benita M. "Measuring supply chain performance." International journal of operations & production management19.3 (1999): 275-292.
  • Beamon, Benita M. "Supply chain design and analysis: Models and methods." International journal of production economics55.3 (1998): 281-294.
  • Beierlein, James G., and Christopher A. Miller. "Performance Measures, and Measurement in Supply Chains in the Food System." Food Industry Report (2000).
  • Bloemhof-Ruwaard, J.M., Van Wassenhove, L.N., Gabel, H.L. And Weaver, P.M., An environmental life cycle optimization model for the European pulp and paper industry, Omega, 24 (6), 615–629, 2005.
  • 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 performance using a balanced measurement method." International Journal of Production Research 40.15 (2002): 3533-3543.
  • Butar, Maulida Butar, David Sanders, and Regina Frei. "Measuring performance of reverse supply chains in a carpet manufacturer." Journal of Advanced Management Science 4.2 (2016): 152-158.
  • 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 perspective." Supply Chain Management: An International Journal 14.6 (2009): 422-428.
  • Chan, Felix TS, et al.. "A conceptual model of performance measurement for supply chains." Management decision 41.7 (2003): 635-642.
  • Chen Vd., Inventory management in a closed-loop supply chain with advance demand information, Operations Research Letters 45, 175–180, 2017.
  • 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, characteristics and measures." International Journal of Operations & Production Management21.1/2 (2001): 46-71.
  • Demirel, N. and Gökçen, H., A Mixed integer programming model for remanufacturing in reverse logistics environment, International Journal of Advanced Manufacturing Technology, 39 (11–12), 1197–1206, 2008a.
  • Easwaran, G. and Üster, H., A Closed-Loop supply chain network design problem with integrated forward and reverse channel decisions, IIE Transactions, 42 (11), 779–792, 2010.
  • Elrod, Cassandra, Susan Murray, and Sundeep Bande. "A review of performance metrics for supply chain management." Engineering Management Journal 25.3 (2013): 39-50.
  • Fernandes, Sheila Mendes, et al.. "Systematic literature review on the ways of measuring the of reverse logistics performance." Gestão & Produção AHEAD (2017): 0-0.
  • 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.
  • Fleischmann, M., Bloemhof-Ruwaard, J.M., Dekker, R., Van Der Laan, E., Van Nunen, J.A.E.E. And Van Wassenhove, L.N., Quantitative models for reverse logistics: a review, European Journal Of Operational Research, 103 (1), 1–17, 1997.
  • 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 University 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 approach." Journal of Industrial Engineering International 10.3 (2014): 67.
  • Guide, V. D. R.,, Jayaraman V., Linton J. D., Building Contingency Planning For Closed-Loop Supply Chains With Product Recovery, Journal Of Operations Management, 21 (2003) 259–279, 2003.
  • Guimarães da Silveira, José Leonardo, and Valério Antonio Pamplona Salomon. "ANP applied to the evaluation of performance indicators of reverse logistics in footwear industry." Procedia Computer Science 55 (2015): 139-148.
  • Gunasekaran, Angappa, Chaitali Patel, and Ercan Tirtiroglu. "Performance measures and metrics in a supply chain environment." International journal of operations & production Management 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 economics 87.3 (2004): 333-347.
  • Hernández, Cecilia Toledo, et al.. "Using AHP and ANP to evaluate the relation between reverse logistics and corporate performance in Brazilian automotive industry." Proceeding of Proceedings of the 10th International Symposium on the Analytic Hierarchy/Network Process Multi-criteria Decision Making held at Pennsylvania, USA. 2009.
  • Hu, T., Sheu, J. And Huan, K., A Reverse logistics cost minimization model for the treatment of hazardous wastes, Transportation Research Part E, 38 (6), 457–473, 2002.
  • Kaplan, R.S., Norton, D.P., Balanced scorecard: translating strategy into action. 4 th Edition. Harvard Business School Press, Boston, 1997.
  • Karakaş, B. and Ak R., “Kamu yönetiminde performans yönetimi önemli midir?”, Kamu Yönetiminde Kalite 3. Ulusal Kongresi Bildirileri, TODAİE Yayınları No: 319, Ankara, 2003, ss. 337-351.
  • Kenne, J.-P., Dejax, P. and Gharbi, A., Production planning of a hybrid manufacturing-remanufacturing system under uncertainty within a closed-loop supply chain, International Journal Of Production Economics, 135 (1), 81–93, 2012.
  • Kocaoğlu B., Tedarik zinciri performansı ölçümü için stratejik ve operasyonel hedefleri bütünleştiren SCOR modeli temelli bir yapı, Doktora Tezi, Yıldız Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, 2009.
  • Krikke, H., Bloemhof-Ruwaard, J. and Van Wassenhove, L.N., 2003, Concurrent product and closed-loop supply chain design with an application to refrigerators, International Journal of Production Research, 41 (16), 3689–3719, 2003.
  • Li, Zhengping, Xiaoxia Xu, and Arun Kumar. "Supply chain performance evaluation from structural and operational levels." Emerging Technologies and Factory Automation, 2007. ETFA. IEEE Conference on. IEEE, 2007.
  • Lu, Z., and Bostel, N., A Facility location model for logistics systems including reverse flows: the case of remanufacturing activities. Computers & Operations Research, 34(2), 299–323, 2007.
  • Momeni, Ehsan, et al.. "A new fuzzy network slacksbased DEA model for evaluating performance of supply chains with reverse logistics." Journal of Intelligent & Fuzzy Systems 27.2 (2014): 793-804.
  • Mondragon, A.E.C., Lalwani, C. And Mondragon, C.E.C., Measures for auditing, performance and integration in closed-loop supply chains, Supply Chain Management: An International Journal, 16 (1), 43–56, 2011.
  • Moshtaghfard R., Arbabshirani B., Alinaghian M., Reverse Logistics Performance Measurement by Integrated Balanced Scorecard and Data Envelopment Analysis (Case Study in Pak Dairy Co.), International Journal of Advances in Management Science (IJ-AMS), Volume 5, 2016.
  • Narasımhan, Ram, Jayaram Jayanth, Causal linkages in supply chain management: an exploratory study of north American manufacturing firms”, Decision Sciences, Volume 29, Number 3, Summer, 1998.
  • Neely, Andy, Mike Gregory, and Ken Platts. "Performance measurement system design: a literature review and research agenda." International journal of operations & production management 15.4 (1995): 80-116.
  • Nizaroyani, Saibani, Performance measurement for reverse and closed-loop supply chains. Diss. University of Nottingham, 2010.
  • Olugu E. U. and Wong K. Y., Fuzzy logic evaluation of reverse logistics performance in the automotive industry, Scientific Research and Essays Vol. 6(7), pp. 1639-1649, 4 April, 2011.
  • Otay İ., Geri kazanımlı kapalı çevrim tedarik zinciri için dağıtım planlama, Doktora Tezi, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, 2015.
  • Otto, Andreas, and Herbert Kotzab. "Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain." European Journal of Operational 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.
  • Özceylan E. et al.., A Closed-Loop supply chain network design for automotive industry in Turkey, Computers & Industrial Engineering Xxx, Xxx–Xxx, 2017.
  • Özceylan, E., Paksoy, T., Ve Bektaş, T., Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing, Transportation Research Part E: Logistics and Transportation Review, 61, 142-164, 2014.
  • Paksoy, T. and Özceylan, E., Supply chain optimization with u-type assembly line balancing, International Journal of Production Research, 50 (18), 5085– 5105, 2012.
  • Paksoy, T., Bektaş, T. and Özceylan, E., Operational and environmental performance measures in a multi-product closed-loop supply chain, Transportation Research Part E, 47 (4), 532–546, 2011.
  • Pandian G., Performance Evaluation of a Reverse Logistics Enterprise-An Agent-Based Modelling Approach, A Thesis the Degree of Master of Applied Science University of Windsor, Department of Industrial and Manufacturing Systems Engineering, Windsor, Ontario, Canada, 2014.
  • Paydar vd., An engine oil closed-loop supply chain design considering collection risk, Computers And Chemical Engineering 104, 38–55, 2017.
  • Persson, Fredrik, and Jan Olhager. "Performance simulation of supply chain designs." International 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.
  • Pochampally, K.K., Nukala, S. And Gupta, S.M., Strategic planning models for reverse and closed-loop supply chains, CRC Press, U.S.A, 2009.
  • Prahinski, C. and Kocabaşoğlu, C., Empirical research opportunities in reverse supply chains, Omega, 34 (6), 519–32, 2006.
  • Qiang, Q., Ke, K., Anderson, T. and Dong, J., The Closed-Loop supply chain network with competition, Distribution Channel Investment, And Uncertainties, Omega, 41 (2), 186–194, 2013,
  • 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.
  • Sangwan, Kuldip Singh. "Key activities, decision variables and performance indicators of reverse logistics." Procedia CIRP 61 (2017): 257-262.
  • Savaşkan, R.C., Bhattacharya, S. And Van Wassenhove, L.N.V., Closed-Loop supply chain models with product remanufacturing, Management Science, 50 (2), 239–252, 2004.
  • Schultmann, F., Zumkeller, M. Ve Rentz, O., Modeling Reverse logistic tasks within closed-loop supply chains: an example from the automotive industry, European Journal of Operational Research, 171, 1033–1050, 2006.
  • Sellitto, Miguel Afonso, et al.. "A SCOR-based model for supply chain performance measurement: 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 Research. Vol. 1. 2011.
  • Shaik, Mohammed Najeeb, and Walid Abdul-Kader. "Comprehensive performance measurement and causaleffect decision making model for reverse logistics enterprise." Computers & Industrial Engineering 68 (2014): 87-103.
  • Shakourloo A. Vd., A New Model For More Effective Supplier Selection And Remanufacturing Process İn A Closed-Loop Supply Chain, Applied Mathematical Modelling 40, 9914–9931, 2016.
  • Shepherd, Craig, and Hannes Günter. "Measuring supply chain performance: current research and future directions." Behavioral Operations in Planning and Scheduling. Springer, Berlin, Heidelberg, 2010. 105-121.
  • Sheu, J.B., Chou, Y.H. and Hu, C.C., An Integrated logistics operational model for green supply chain management, Transportation Research Part E, 41 (4), 287–313, 2005.
  • Shi, Wenli, and Tianbao Gao. "Supply Chain Performance Evaluation Model Based on Unascertained Clustering." Rev. Téc. Ing. Univ. Zulia. Vol. 39, Nº 6, 195- 201, 2016.
  • 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.
  • Şen, E., Kobilerin Uluslararası Rekabet Güçlerini Artırmada Tedarik Zinciri Yönetiminin Önemi”, İGEME Yayınları, Ankara, 1-56, 2006.
  • Talbot, S., Lefebvre, E., & Lefebvre, L. A. Closed-Loop supply chain activities and derived benefits in manufacturing SMES. Journal Of Manufacturing Technology Management, 18(6), 627–658, 2007.
  • Tao, Xiaoyan. "Performance evaluation of supply chain based on fuzzy matter-element theory." Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on. Vol. 1. IEEE, 2009.
  • Thierry, M., Salomon, M. And Van Wassenhove L., Strategic Issues in Product Recovery Management, California Management Review, 37 (2), 114–135, 1995.
  • Tonanont, Ake. Performance evaluation in reverse logistics with data envelopment analysis. Diss. Thesis for Degree of PhD, Faculty of the Graduate School, University of Texas at Arlington, 2009.
  • Tsao Vd., Closed-Loop Supply Chain Network Designs Considering RFID Adoption, Computers & Industrial Engineering Xxx, Xxx–Xxx, 2016.
  • 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.
  • Van Nunen, J.A.E.E. And Zuidwijk, R.A., E-Enabled Closed-Loop Supply Chains, California Management Review, 46 (2), 40–53, 2004.
  • Vishwa, V.K. Chan, F.T.S., Mishra, N. And Kumar, V., Environmental İntegrated Closed Loop Logistics Model: An Artificial Bee Colony Approach, 8th International Conference On Supply Chain Management And Information Systems, 1–7, 2010.
  • Wang, Jui-Chi, and H. Wu. "Corporate performance efficiency investigated by data envelopment analysis and balanced scorecard." The Journal of American Academy of Business 9.2 (2006): 312-318.
  • 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.
  • Yang, Jianhua, Lidong Zang, and Zhangang Hao. "Study on the performance evaluation system of reverse supply chain based on BSC and triangular fuzzy number AHP." Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on. IEEE, 2009.
  • Yang, Jianhua. "On the construction and implementation methods for performance measurement of reverse supply chain." Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on. Vol. 2. IEEE, 2010.
  • Yavuz O., Ersoy A., Tedarik zinciri performansının değerlendirilmesinde kullanılan değişkenlerin yapay sinir ağı yöntemiyle değerlendirilmesi, Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 15 /2, 209-256, 2013.
  • Yellepeddi, S. S., S. Rajagopalan, and D. H. Liles. "A balanced scorecard approach for an effective reverse supply chain in electronics industry." Proceedings of the Annual Conference of International Journal of Industrial Engineering, Clearwater, Florida, USA, December. 2005.
  • Yellepeddi, Srikanth. "An Analytical Network Process (ANP) approach for the development of a reverse supply chain performance index in consumer electronics industry." Faculty of the Graduate School of the University of Texas at Arlington in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy, The University of Texas at Arlington (2006).
  • Yeong-Dong Hwang, Yi-Ching Lin, and Jung Lyu Jr. "The performance evaluation of SCOR sourcing process—The case study of Taiwan's TFT-LCD industry." International Journal of Production Economics 115.2 (2008): 411-423.
  • Zerenler, M. Performans ölçüm sistemleri tasarımı ve üretim sistemlerinin performansının ölçümüne yönelik bir araştırma. Ekon. ve Sos. Araştırmalar Dergisi, 1: 1-36, 2005.
  • Zhu, Jiulong. "Notice of Retraction Evaluation of supply chain performance based on BP neural network." Computer Engineering and Technology (ICCET), 2010 2nd International Conference on. Vol. 1. IEEE, 2010.
There are 107 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Emel Yontar 0000-0001-7800-2960

Süleyman Ersöz 0000-0002-7534-6837

Publication Date October 1, 2019
Published in Issue Year 2019 Volume: 3 Issue: 4

Cite

APA Yontar, E., & Ersöz, S. (2019). CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA. Turkish Journal of Engineering, 3(4), 157-167. https://doi.org/10.31127/tuje.503959
AMA Yontar E, Ersöz S. CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA. TUJE. October 2019;3(4):157-167. doi:10.31127/tuje.503959
Chicago Yontar, Emel, and Süleyman Ersöz. “CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA”. Turkish Journal of Engineering 3, no. 4 (October 2019): 157-67. https://doi.org/10.31127/tuje.503959.
EndNote Yontar E, Ersöz S (October 1, 2019) CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA. Turkish Journal of Engineering 3 4 157–167.
IEEE E. Yontar and S. Ersöz, “CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA”, TUJE, vol. 3, no. 4, pp. 157–167, 2019, doi: 10.31127/tuje.503959.
ISNAD Yontar, Emel - Ersöz, Süleyman. “CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA”. Turkish Journal of Engineering 3/4 (October 2019), 157-167. https://doi.org/10.31127/tuje.503959.
JAMA Yontar E, Ersöz S. CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA. TUJE. 2019;3:157–167.
MLA Yontar, Emel and Süleyman Ersöz. “CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA”. Turkish Journal of Engineering, vol. 3, no. 4, 2019, pp. 157-6, doi:10.31127/tuje.503959.
Vancouver Yontar E, Ersöz S. CLOSED LOOP SUPPLY CHAIN MANAGEMENT PERFORMANCE EVALUATION CRITERIA. TUJE. 2019;3(4):157-6.

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