Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks
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DOI: 10.1016/j.ijpe.2019.02.001
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- Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.
- Miguel Afonso Sellitto & Giancarlo Medeiros Pereira & Miriam Borchardt & Rosnaldo Inácio da Silva & Cláudia Viviane Viegas, 2015. "A SCOR-based model for supply chain performance measurement: application in the footwear industry," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 4917-4926, August.
- Estampe, Dominique & Lamouri, Samir & Paris, Jean-Luc & Brahim-Djelloul, Sakina, 2013. "A framework for analysing supply chain performance evaluation models," International Journal of Production Economics, Elsevier, vol. 142(2), pages 247-258.
- Richard Cuthbertson & Wojciech Piotrowicz, 2011. "Performance measurement systems in supply chains," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 60(6), pages 583-602, July.
- Arezoo Moharamkhani & Ali Bozorgi-Amiri & Hassan Mina, 2017. "Supply chain performance measurement using SCOR model based on interval-valued fuzzy TOPSIS," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 27(1), pages 115-132.
- Lohman, Clemens & Fortuin, Leonard & Wouters, Marc, 2004. "Designing a performance measurement system: A case study," European Journal of Operational Research, Elsevier, vol. 156(2), pages 267-286, July.
- Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.
- Akkoç, Soner, 2012. "An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish cred," European Journal of Operational Research, Elsevier, vol. 222(1), pages 168-178.
- Golam Kabir & M. Ahsan Akhtar Hasin, 2013. "Multi-criteria inventory classification through integration of fuzzy analytic hierarchy process and artificial neural network," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 14(1), pages 74-103.
- Chithambaranathan, P. & Subramanian, Nachiappan & Gunasekaran, Angappa & Palaniappan, PL.K., 2015. "Service supply chain environmental performance evaluation using grey based hybrid MCDM approach," International Journal of Production Economics, Elsevier, vol. 166(C), pages 163-176.
- Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2016. "Combining SCOR® model and fuzzy TOPSIS for supplier evaluation and management," International Journal of Production Economics, Elsevier, vol. 174(C), pages 128-141.
- Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
- Maestrini, Vieri & Luzzini, Davide & Maccarrone, Paolo & Caniato, Federico, 2017. "Supply chain performance measurement systems: A systematic review and research agenda," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 299-315.
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Cited by:
- Chen Qu & Eunyoung Kim, 2024. "Reviewing the Roles of AI-Integrated Technologies in Sustainable Supply Chain Management: Research Propositions and a Framework for Future Directions," Sustainability, MDPI, vol. 16(14), pages 1-27, July.
- Afzal, Sadegh & Ziapour, Behrooz M. & Shokri, Afshar & Shakibi, Hamid & Sobhani, Behnam, 2023. "Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms," Energy, Elsevier, vol. 282(C).
- Md. Rabbi & Syed Mithun Ali & Golam Kabir & Zuhayer Mahtab & Sanjoy Kumar Paul, 2020. "Green Supply Chain Performance Prediction Using a Bayesian Belief Network," Sustainability, MDPI, vol. 12(3), pages 1-19, February.
- Johnson, Andrew & Carnovale, Steven & Song, Ju Myung & Zhao, Yao, 2021. "Drivers of fulfillment performance in mission critical logistics systems: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 237(C).
- Zanon, Lucas Gabriel & Munhoz Arantes, Rafael Ferro & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2020. "A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value," International Journal of Production Economics, Elsevier, vol. 223(C).
- Birdoğan Baki & Nermin Abuasad, 2020. "The Evaluation of Humanitarian Supply Chain Performance Based On Balanced Scorecard-DEMATEL Approach," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(2), pages 163-180, December.
- Sungkon Moon & Lei Hou & SangHyeok Han, 2023. "Empirical study of an artificial neural network for a manufacturing production operation," Operations Management Research, Springer, vol. 16(1), pages 311-323, March.
- Chia-Nan Wang & Van Thanh Nguyen & Jiin-Tian Chyou & Tsung-Fu Lin & Tran Ngoc Nguyen, 2019. "Fuzzy Multicriteria Decision-Making Model (MCDM) for Raw Materials Supplier Selection in Plastics Industry," Mathematics, MDPI, vol. 7(10), pages 1-17, October.
- Paitoon Varadejsatitwong & Ruth Banomyong & Puthipong Julagasigorn, 2022. "A Proposed Performance-Measurement System for Enabling Supply-Chain Strategies," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
- Tram Anh Thi Nguyen & Thuy Lan Nguyen & Quynh Trang Thi Nguyen & Kim Anh Thi Nguyen & Curtis M. Jolly, 2023. "Measuring Supply Chain Performance for Khanh Hoa Sanest Soft Drink Joint Stock Company: An Application of the Supply Chain Operations Reference (SCOR) Model," Sustainability, MDPI, vol. 15(22), pages 1-24, November.
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Keywords
Supply chain performance prediction; SCOR® model; Artificial neural networks; Multilayer perceptron; Supply chain management;All these keywords.
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