A Fuzzy Bayesian Network Model for Quality Control in O2O e-Commerce
Keywords:
fresh food quality control, O2O mode, fuzzy Bayesian network, triangular fuzzy numbers.Abstract
With the popularization of the online to offline (O2O) e-commerce on fresh food products, how to control the quality is becoming increasingly important. To adequately address this problem, this paper presents a fuzzy Bayesian network model for effectively controlling the quality in O2O ecommerce. Reasoning about uncertain events and incomplete data through an intelligent simulation with Bayesian networks provides a convenient and fast method of evaluation and analysis for e-commerce platforms to quickly select fresh food suppliers. Such a model is capable of appropriately modelling the uncertainty inherent in the fresh food product distribution process. It focuses on the identification of the critical factors that affect the food product quality along the supply chain. This leads to the development of a complete selection and evaluation system for the quality in O2O e-commerce. A simulation study is conducted that shows the proposed model is applicable for effectively controlling the quality in O2O e-commerce. Ultimately, the unloading level, warehouse inspection and warehouse monitoring are determined as the entry points for quality control, with corresponding degrees of influence of 44%, 37%, and 34%. The main points to protect the quality of food are introduced, which provides a theoretical basis for solving fresh food safety problems for business platforms.References
Anica-Popa, Ionut (2012). Architecture of an Inter-organizational Information System for Monitoring the Trace of Fresh Vegetables, Romanian Statistical Review, 60(X), 381-385, 2012.
Aurelija, B. (2018). Dalia Romaskeviciene Online Shoppping and Consumer Protection, Journal of System and Management Sciences, 1, 1-22, 2018.
Battini, D.; Calzavara, M.; Persona, A. et al. (2016). Sustainable Packaging Development for Fresh Food Supply Chains, Packaging Technology & Science, 29(1), 25-43, 2016. https://doi.org/10.1002/pts.2185
Belc, N.; Duta, D., E.; Iorga, E. et al. (2016). Food Safety Aspects Concerning Traditional Foods, Emerging and Traditional Technologies for Safe, Healthy and Quality Food, 33-54, 2016. https://doi.org/10.1007/978-3-319-24040-4_3
Cardamone, C.; Aleo, A.; Mammina, C. et al. (2015). Assessment of the microbiological quality of fresh produce on sale in Sicily, Italy: preliminary results, Journal of Biological Research- Thessaloniki, 22(1), 1-6, 2015. https://doi.org/10.1186/s40709-015-0026-3
Cheung, T.C.; Cheng, E.C.C.; Chan, H.Y. (2015). Development of a Validated Database for the Authentication of Fresh/Chilled and Frozen Pork Using beta-Hydroxylacyl-CoA-Dehydrogenases (HADH) Assay, International Journal of Properties, 18(1), 73-80, 2015. https://doi.org/10.1080/10942912.2013.815201
Choi, J.; Norwood, H.; Seo, S. et al. (2016). Evaluation of food safety related behaviors of retail and food service employees while handling fresh and fresh-cut leafy greens, Food Control, 67, 199-208,2016. https://doi.org/10.1016/j.foodcont.2016.02.044
Davidson, V.J.; Ryks, J.; Fazil A.(2006). Fuzzy risk assessment tool for microbial hazards in food system, Fuzzy Sets & Systems, 157(9), 1201-1210, 2006. https://doi.org/10.1016/j.fss.2005.12.018
Dong, Q.L.; Wang, H.M.; Pradeep, K.; Malakar, et al. (2015). Review of Progress in Quantitative Microbiological Risk Assessment in China, Food Science, 36(11), 221-229, 2015.
Dzitac, I.; Filip, F.G.; Manolescu, M.J. (2017). Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lofti A. Zadeh, International Journal of Computers Communications & Control, 12(6), 748-789, 2017. https://doi.org/10.15837/ijccc.2017.6.3111
Fadwa, C.; Vida, D. (2017). Electronic Media as Important Tool in Today's Business, Journal of Logistics, Informatics and Service Science, 4(2), 16-30, 2017.
Gao, H.Y.; Chen, H.J.; Mu, H.L. et al. (2015). Research Advances of Fresh Food Packaging Materials, Journal of Chinese Institute of Food Science & Technology, 15(10), 1-10, 2015.
Gong, J.; Caldas, C.H.; Gordon, C. (2011). Learning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network models, Advanced Engineering Informatics, 25(4), 771-782, 2011. https://doi.org/10.1016/j.aei.2011.06.002
Guo, J.Q.; Wang, X.Y.; Fan, S.Y. et al. (2017). Forward and reverse logistics network and route planning under the environment of low-carbon emissions: A case study of Shanghai fresh food E-commerce enterprises, Computers & Industrial Engineering, 106(C), 351-360, 2017. https://doi.org/10.1016/j.cie.2017.02.002
Higuchi, T.; Kuramochi, Y.; Saito, T.et al. (2012). Investigation of non-heating sterilization method of packed fresh foods by pulsed electric field, Power Modulator and High Voltage Conference, IEEE, 427-43, 2012. https://doi.org/10.1109/IPMHVC.2012.6518789
Hsu, C.I.; Chen, W.T. (2014). Optimizing fleet size and delivery scheduling for multi-temperature food distribution, Applied Mathematical Modelling, 38(3), 1077-1091. 2014. https://doi.org/10.1016/j.apm.2013.07.036
Kaale, L.D.; Eikevik, T.M.; Rustad, T. et al. (2011). Superchilling of food: A review, Journal of Food Engineering, 107(2), 141-146, 2011. https://doi.org/10.1016/j.jfoodeng.2011.06.004
Kaipia, R.; Dukovska-Popovska, I.; Loikkanen, L. (2013). Creating sustainable fresh food supply chains through waste reduction, International Journal of Physical Distribution & Logistics Management, 43(3), 262-276, 2013. https://doi.org/10.1108/IJPDLM-11-2011-0200
Lee, S.Y.; Lee, S.J.; Choi, D.S. et al. (2015). Current topics in active and intelligent food packaging for preservation of fresh foods, Journal of the Science of Food & Agriculture, 95(14), 2799, 2015. https://doi.org/10.1002/jsfa.7218
Manos, B.; Manikas, I. (2010). Traceability in the Greek fresh produce sector: drivers and constraints, British Food Journal, 112(6), 640-652, 2010. https://doi.org/10.1108/00070701011052727
Martinezsimarro, D.; Sanchez, J.M.P.; Vela, R.A.(2010). Gaps to Fill Between Theoretical Interoperable Quality and Food Safety Environment and Enterprise Implementations, Springer London, 377-385, 2010. https://doi.org/10.1007/978-1-84996-257-5_35
Singh, A.; Shukla, N.; Mishra, N. (2018). Social media data analytics to improve supply chain management in food industries, Transportation Research Part E: Logistics and Transportation Review, 114, 398-415, 2018. https://doi.org/10.1016/j.tre.2017.05.008
Soon, J.M.; Davies, W.P.;Chadd, S.A. et al. (2013). Field application of farm-food safety risk assessment (FRAMp) tool for small and medium fresh produce farms, Food Chemistry, 136(3-4), 1603-1609, 2013. https://doi.org/10.1016/j.foodchem.2012.01.029
Soto-Silva, W.E.; Gonzalez -araya, M.C.; Oliva-Fernandez, M.A. et al. (2017). Optimizing fresh food logistics for processing: Application for a large Chilean apple supply chain, Computers & Electronics in Agriculture, 136, 42-57, 2017. https://doi.org/10.1016/j.compag.2017.02.020
Stonehouse, G.G.; Evans, J.A. (2015). The use of supercooling for fresh foods: A review, Journal of Food Engineering, 148, 74-79, 2015 https://doi.org/10.1016/j.jfoodeng.2014.08.007
Wang, J.; Yue, H.L.; Zhou, Z.N. (2017). An Improved Traceability System for Food Quality Assurance and Evaluation Based on Fuzzy Classification and Neural Network, Food Control, 79, 363-370, 2017. https://doi.org/10.1016/j.foodcont.2017.04.013
Wu, X.; Nie, L.; Xu, M.; Yan, F. (2018). A perishable food supply chain problem considering demand uncertainty and time deadline constraints: Modeling and application to a high-speed railway catering service, Transportation Research Part E: Logistics and Transportation Review, 111, 186-209, 2018. https://doi.org/10.1016/j.tre.2018.01.002
Xu,W.; Liu,L.N.; Zhang,Q.S.; Liu,P. (2018). Location decision-making of equipment manufacturing enterprise under dual channel purchase and sale mode, Complexity, 1-16, 2018. https://doi.org/10.1155/2018/3797131
Xu,W.;Yin,Y.(2018). Functional objectives decision-making of discrete manufacturing system based on integrated ant colony optimization and particle swarm optimization approach, Advances in Production Engineering & Management, 13(4), 389-404, 2018. https://doi.org/10.14743/apem2018.4.298
Yang, L.; Tang, R.H. (2019). Comparisons of sales modes for a fresh product supply chain with freshness-keeping effort, Transportation Research Part E: Logistics and Transportation Review, 125, 425-448, 2019. https://doi.org/10.1016/j.tre.2019.03.020
Zhang, H; Xiong, Y; He, M.K.; Qu, C. (2017). Location Model for Distribution Centers for Fulfilling Electronic Orders of Fresh Foods under Uncertain Demand, Scientific Programming, 2017. https://doi.org/10.1155/2017/3423562
Zhang, M.; Tang, X.C.; Pu, M.Z. et al.(2014). Co-regulation in Food Safety Governance: Enterprises, Government and the Third Party, Food Science, 35(13), 286-292, 2014.
Zhang, M.; Meng, X.; Bhandari, B. et al. (2016). Recent Developments in Film and Gas Research in Modified Atmosphere Packaging of Fresh Foods, Critical Reviews in Food Science & Nutrition, 56(13), 2174, 2016. https://doi.org/10.1080/10408398.2013.819794
Zhou, J.; Sun, J. (2015). Strategy Research on Perfecting the Cold-chain Logistics System of Fresh Food, 2015 International Conference on Education Technology, Management and Humanities Science (ETMHS 2015), 2015. https://doi.org/10.2991/etmhs-15.2015.162
Zou, Y.F.; Xie, R.H.(2012). Study on Order Policies of Fresh Food Base on Safety Reliability, Advanced Materials Research, 452, 853-857, 2012. https://doi.org/10.4028/www.scientific.net/AMR.452-453.853
Published
Issue
Section
License
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.
