The risk management of perishable supply chain based on coloured Petri Net modeling

Information Processing in Agriculture - Tập 5 - Trang 47-59 - 2018
Lu Liu1, Xinlei Liu1, Guangchen Liu2
1School of Transportation, Ludong University, Yantai 264000, China
2School of Mathematics and Statistics Science, Ludong University, Yantai 264000, China

Tài liệu tham khảo

Katsaliaki, 2014, A game-based approach towards facilitating decision making for perishable products: an example of blood supply chain, Expert Syst Appl, 41, 4043, 10.1016/j.eswa.2013.12.038

Soon, 2012, A Delphi-based approach to developing and validating a farm food safety risk assessment tool by Experts, Expert Syst Appl, 39, 8325, 10.1016/j.eswa.2012.01.189

Huber, 2017, Cluster-based hierarchical demand forecasting for perishable goods, Expert Syst Appl, 76, 140, 10.1016/j.eswa.2017.01.022

Cao, 2016, Risk assessment of co-creating value with customers: a rough group analytic network process approach, Expert Syst Appl, 55, 145, 10.1016/j.eswa.2016.02.012

Aqlan, 2016, A software application for rapid risk assessment in integrated supply chains, Expert Syst Appl, 43, 109, 10.1016/j.eswa.2015.08.028

Lam, 2013, A real-time risk control and monitoring system for incident handling in wine storage, Expert Syst Appl, 40, 10.1016/j.eswa.2012.12.071

Zhang, 2016, An integrated model for strategic supply chain design: formulation and ABC-based solution approach, Expert Syst Appl, 52, 39, 10.1016/j.eswa.2015.12.035

Zhang, 2013, Decision support analysis for safety control in complex project environments based on Bayesian Networks, Expert Syst Appl, 40, 4273, 10.1016/j.eswa.2012.11.022

Mokhtari, 2012, Decision support framework for risk management on sea ports and terminals using fuzzy set theory and evidential reasoning approach, Expert Syst Appl, 39, 5087, 10.1016/j.eswa.2011.11.030

Kim, 2016, I-RM: an intelligent risk management framework for context-aware ubiquitous cold chain logistics, Expert Syst Appl, 46, 463, 10.1016/j.eswa.2015.11.005

Patil, 2014, A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers, Expert Syst Appl, 41, 679, 10.1016/j.eswa.2013.07.093

Kristianto, 2014, A model of resilient supply chain network design: a two-stage programming with fuzzy shortest path, Expert Syst Appl, 41, 39, 10.1016/j.eswa.2013.07.009

Kosztyán, 2016, Risk-based multivariate control chart, Expert Syst Appl, 62, 250, 10.1016/j.eswa.2016.06.019

Musa, 2014, Supply chain product visibility: methods, systems and impacts, Expert Syst Appl, 41, 176, 10.1016/j.eswa.2013.07.020

García, 2017, Smart sensor to predict retail fresh fish quality under ice storage, J Food Eng, 197, 87, 10.1016/j.jfoodeng.2016.11.006

Zhu, 2016, Super-chilling (−0.7 °C) with high-CO2 packaging inhibits biochemical changes of microbial origin in catfish (Clarias gariepinus) muscle during storage, Food Chem, 206, 182, 10.1016/j.foodchem.2016.03.053

Tsironi, 2016, Evaluation of time temperature integrators for shelf-life monitoring of frozen seafood under real cold chain conditions, Food Pack. Shelf Life, 10, 46, 10.1016/j.fpsl.2016.09.004

Aung, 2014, Temperature management for the quality assurance of a perishable food supply chain, Food Control, 40, 198, 10.1016/j.foodcont.2013.11.016

Yoo, 2010, Hybrid algorithm for discrete event simulation based supply chain optimization, Expert Syst Appl, 37, 2354, 10.1016/j.eswa.2009.07.039

Oliveira, 2013, A Lagrangean decomposition approach for oil supply chain investment planning under uncertainty with risk considerations, Comput Chem Eng, 50, 184, 10.1016/j.compchemeng.2012.10.012

Shen, 2011, A Lagrangian relaxation approach for a multi-mode inventory routing problem with transshipment in crude oil transportation, Comput Chem Eng, 35, 2113, 10.1016/j.compchemeng.2011.01.005

Shi, 2015, A novel two-stage Lagrangian decomposition approach for refinery production scheduling with operational transitions in mode switching, Chin J Chem Eng, 23, 1793, 10.1016/j.cjche.2015.08.017

Qu, 2015, Optimal configuration of cluster supply chains with augmented Lagrange coordination, Comput Ind Eng, 84, 43, 10.1016/j.cie.2014.12.026

Lidestam, 2011, Use of Lagrangian decomposition in supply chain planning, Math Comput Modell, 54, 2428, 10.1016/j.mcm.2011.05.054

Valid, 2015, Solution method for a two-layer sustainable supply chain distribution model, Comput Oper Res, 54, 204, 10.1016/j.cor.2014.06.015

Liu, 2004, Research on matching capability of Supply Chain Based on Meta diagram model, J Syst Eng, 19, 161

Ntabe, 2015, A systematic literature review of the supply chain operations reference (SCOR) model application with special attention to environmental issues, Int J Prod Econ, 169, 310, 10.1016/j.ijpe.2015.08.008

Palma-Mendoza, 2014, Analytical hierarchy process and SCOR model to support supply chain re-design, Int J Inf Manage, 34, 634, 10.1016/j.ijinfomgt.2014.06.002

Persson, 2011, SCOR template—a simulation based dynamic supply chain analysis tool, Int J Prod Econ, 131, 288, 10.1016/j.ijpe.2010.09.029

Persson, 2009, The development of a dynamic supply chain analysis tool—integration of SCOR and discrete event simulation, Int J Prod Econ, 121, 574, 10.1016/j.ijpe.2006.12.064

Basile, 2009, A two-stage modelling architecture for distributed control of real-time industrial systems: application of UML and Petri Net, Comput Stand Interfaces, 31, 528, 10.1016/j.csi.2008.03.021

Gu, 2012, Unified modeling language (UML) IT adoption—a holistic model of organizational capabilities perspective, Decis Support Syst, 54, 257, 10.1016/j.dss.2012.05.034

Liu, 2004, Research on matching capability of Supply Chain Based on Meta diagram model, J Syst Eng, 19, 161

Liu, 2001, Supply chain modeling and analysis system based on Meta diagram, Chin Manage Sci, 9, 24

Wang, 2016, An integrated hazard identification method based on the hierarchical. Coloured Petri Net, Saf Sci, 88, 166, 10.1016/j.ssci.2016.05.006

Vatani, 2015, Decomposition of first-order hybrid Petri nets for hierarchical control of manufacturing systems, J Manuf Syst, 35, 206, 10.1016/j.jmsy.2015.01.001

Mendesa, 2012, High-level Petri nets for the process description and control in service-oriented manufacturing systems, Int J Prod Res, 50, 1650, 10.1080/00207543.2011.575892

Motallebi, 2015, Parametric multisingular hybrid Petri nets: formal definitions and analysis techniques, Inf Comput, 241, 321, 10.1016/j.ic.2014.11.001

Silva, 2016, Individuals, populations and fluid approximations: a Petri net based perspective, Nonlinear Anal Hybrid Syst, 22, 72, 10.1016/j.nahs.2016.03.005

Serral, 2015, Context-adaptive Petri nets: supporting adaptation for the execution context, Expert Syst Appl, 42, 307, 10.1016/j.eswa.2015.08.004

Clempner, 2014, Ses: a decision process Petri nets approach, Expert Syst Appl, 41, 5030, 10.1016/j.eswa.2014.03.005

Biel, 2014, Sequence of decisions on discrete event systems modeled by Petri nets with structural alternative configurations, J Comput Sci, 5, 387, 10.1016/j.jocs.2013.09.001

Mazzutoa, 2012, Supply chain modelling and managing, using timed coloured Petri nets: a case study, Int J Prod Res, 50, 4718, 10.1080/00207543.2011.639397

Uzam, 2016, Think-globally-act-locally approach with weighted arcs to the synthesis of a liveness-enforcing supervisor for generalized Petri nets modeling FMSs, Inf Sci, 363, 235, 10.1016/j.ins.2015.09.010

Khilwania, 2011, Hybrid Petri-nets for modelling and performance evaluation of supply chains, Int J Prod Res, 49, 4627, 10.1080/00207543.2010.497173

Kristianto, 2012, A decision support system for integrating manufacturing and product design into the reconfiguration of the supply chain networks, Decis Support Syst, 52, 790, 10.1016/j.dss.2011.11.014

Hasani, 2012, Robust closed-loop supply chain network design for perishable goods in agile manufacturing under uncertainty, Int J Prod Res, 50, 4649, 10.1080/00207543.2011.625051

Aqlan, 2016, Supply chain optimization under risk and uncertainty: a case study for high-end server manufacturing, Comput Ind Eng, 93, 78, 10.1016/j.cie.2015.12.025

Thông tin
Thông tin xuất bản

Information Processing in Agriculture

Tập 5

47-59

Thông tin tác giả