Supply chain facility location with disruption
a literature review
DOI:
https://doi.org/10.14488/1676-1901.v21i4.4348Keywords:
Facility Location, Disruption, Literature Review, Optimization, LogisticsAbstract
Context-Due to high costs and the necessity of operations planning, the facilities location should ensure they are efficient and available during the time horizon. Since there is a possibility of occurrence of events that might affect the facilities performance, such as, natural disasters and roadblocks, embeddingthis disruption probabilities intothe location optimization model resultsin better solutions.Objective–The objective of this study is to developa literature review aiming to select and analyze relevant research about this topic. We search for gaps and trendsto direct future studies.Methodology -The methodology was divided in steps and phases: i) Planning, when we have defined the research question; ii) Research, when we have determined the keywords and the data bases; iii) Screening, when we have selected the studies that meet quality requirements; and iv) Extraction, when we have performed a bibliometric analysis and a literature review.Results-It was possible to observe that the topic is relatively new, and it hasgained more attention in the last five years. It stands out that most ofthe studies focuses onfacility disruptions, however, papersdealing withdisruptions in the connection links between facilities are increasing lately. Anothertrend regards theapplication of those models in humanitarian logistics, especially referring to natural disasters.Conclusion-Includingthese possibilities of disruptionsin facility location models bringsa perspective that exist in many organizations’ reality, but that is still little addressed in the literature. Given the scarcity of resources and the necessity to keep the service levels, studies addressing this topic can help organizations to plan and manage more resilientsupply chains.
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References
AFIFY, Badr et al.Evolutionary learning algorithm for reliable facility location under disruption.Expert Systems with Applications, v. 115, p. 223-244, 2019.https://doi.org/10.1016/j.eswa.2018.07.045
AFIFY, Badr; SOEANU, Andrei; AWASTHI, Anjali. Separation linearization approach for the capacitated facility location problem under disruption.Expert Systems with Applications, v. 169, p. 114187, 2021. https://doi.org/10.1016/j.eswa.2020.114187
AKGÜN, İbrahim; ERDAL, Hamit. Solving an ammunition distribution network design problem using multi-objective mathematicalmodeling, combined AHP-TOPSIS, and GIS.Computers & Industrial Engineering, v. 129, p. 512-528, 2019.https://doi.org/10.1016/j.cie.2019.02.004A
KOBENG, Anthony K. Principles of evidence based medicine.Archives of disease in childhood, v. 90, n. 8, p. 837-840, 2005.https://doi.org/10.1136/adc.2005.071761
ALTO COMISSARIADO DAS NAÇÕES UNIDAS PARA REFUGIADOS (ACNUR). Disponível em:https://www.acnur.org/portugues/.Acesso em: 04jun. 2021.
ARDAKANI, Elham Shakeret al.Designing a multi-period production-distribution system considering social responsibility aspects and failure modes.SustainableProduction and Consumption, v. 22, p. 239-250, 2020.https://doi.org/10.1016/j.spc.2020.03.009
AYUDHYA, Wichitsawat Suksawat Na. Determining quality refining rice mill location with disruption risks. In:2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2017. p. 379-383.
BALCIK, Burcu et al. Coordination in humanitarian relief chains: Practices, challenges and opportunities.International Journalofproduction economics, v. 126, n. 1, p. 22-34, 2010.https://doi.org/10.1016/j.ijpe.2009.09.008
BEAMON, B. M. Humanitarian Relief Chains: Issues and Challenges, actes de la conférence Proceedingsof the 34th International Conference on Computers and Industrial Engineering.San Francisco, USA, 2004.
BILIR, Canser; EKICI, Sule Onsel; ULENGIN, Fusun. An integrated multi-objective supply chain network and competitive facility location model.Computers & Industrial Engineering, v. 108, p. 136-148, 2017.
CARVALHO, Marly M.; FLEURY, André; LOPES, Ana Paula. An overview of the literature on technology roadmapping (TRM): Contributions and trends.Technological Forecasting and Social Change, v. 80, n.7, p.1418-1437, 2013.https://doi.org/10.1016/j.techfore.2012.11.008
DASKIN, Mark S.Network and discrete location: models, algorithms, and applications.John Wiley & Sons, 2013.
DIABAT, Ali; JABBARZADEH, Armin; KHOSROJERDI, Amir. A perishable product supply chain network design problem with reliability and disruption considerations.International Journal of Production Economics, v. 212, p. 125-138, 2019.
DREZNER, Z.Facilitylocation:a survey of applications and methods. Springer Verlag, 1995.
OFDA/CRED.The Office of Foreign Disaster Assistance/Centre for Research on the Epidemiology of Disasters -Université Catholique de Louvain, Emergency Database (EM-DAT).Brussels, Belgium. Disponível em: https://public.emdat.be/data. Acesso em: mar.2021.
ESFANDIYARI, Zahra; BASHIRI, Mahdi; TAVAKKOLI-MOGHADDAM, Reza. Resilient network design in a location-allocation problem with multi-level facilityhardening.Scientia Iranica, v. 26, n. 2, p. 996-1008, 2019.https://doi.org/10.24200/sci.2018.20167
FATTAHI, Mohammad; GOVINDAN, Kannan; MAIHAMI, Reza. Stochastic optimization ofdisruption-drivensupply chain network design with a new resilience metric.International Journal of Production Economics, v. 230, p. 107755, 2020. https://doi.org/10.1016/j.ijpe.2020.107755
GUO, Jiantao; LIU, Linxuanzi; ZHANG, Juliang. Joint optimizationof supplier selection and facility location for 2022 Winter Olympics in the presence of supply risk. In:IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2019. p. 292-299.https://doi.org/10.1109/SMC.2019.8913859
GUO, Zixue;QI, Meiran. Modeling and simulation of emergency service facilities location problem under fuzzy environment.The Open Mechanical Engineering Journal, v.8, n. 1, 2014.https://doi.org/10.2174/1874155X01408010048
HABIB, Muhammad Salman; LEE, Young Hae; MEMON, Muhammad Saad. Mathematical models in humanitarian supply chain management: A systematic literature review.Mathematical Problems in Engineering, v. 2016, 2016. https://doi.org/10.1155/2016/3212095
HASANI, Aliakbar; KHOSROJERDI, Amirhossein. Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study.Transportation Research Part E: Logistics and Transportation Review, v. 87, p. 20-52, 2016.https://doi.org/10.1016/j.tre.2015.12.009
HASANI, Aliakbar; MOKHTARI, Hadi; FATTAHI, Mohammad. A multi-objective optimization approach for green and resilient supply chain network design: a real-life Case Study.Journal of Cleaner Production, v. 278, p. 123199, 2021.https://doi.org/10.1016/j.jclepro.2020.123199
HULME, Edward Wyndham et al. Statistical bibliography in relation to the growth of modern civilization. 1923.JABBARZADEH, Armin; FAHIMNIA, Behnam. Dynamic Supply Chain Greening Analysis. In:Green logistics and transportation.Springer, Cham, p. 35-47, 2015.https://doi.org/10.1007/978-3-319-17181-4_3J
ABBARZADEH, Armin;HAUGHTON, Michael; KHOSROJERDI, Amir. Closed-loop supply chain network design under disruption risks: A robust approach with real world application.Computers & industrial engineering, v. 116, p. 178-191, 2018. https://doi.org/10.1016/j.cie.2017.12.025
JALALI, Sajjad; SEIFBARGHY, Mehdi; NIAKI, Seyed Taghi Akhavan. A risk-averse location-protection problem under intentional facility disruptions: A modified hybrid decomposition algorithm.Transportation Research Part E: Logistics and Transportation Review, v., p. 196-219, 2018.https://doi.org/10.1016/j.tre.2018.04.004
KURUPPU, Kumudu KS. Management of blood system in disasters.Biologicals, v. 38, n. 1, p. 87-90, 2010.https://doi.org/10.1016/j.biologicals.2009.10.005
LEIRAS, Adriana et al. Literature review of humanitarian logistics research:trends and challenges.Journal of Humanitarian Logistics and Supply Chain Management, 2014.https://doi.org/10.1108/JHLSCM-04-2012-0008
LIU, Yunhua et al.A coordinated location-inventory problem with supply disruptions: A two-phase queuing theory–optimization model approach.Computers & Industrial Engineering, v. 142, p. 106326, 2020.https://doi.org/10.1016/j.cie.2020.106326
MADADI, AliReza et al. Supply network design: Risk-averse or risk-neutral?.Computers & Industrial Engineering, v. 78, p. 55-65, 2014.https://doi.org/10.1016/j.cie.2014.09.030
MENDES, Angélica Alebrant; PINHEIRO, Maria Clara Rodrigues; YOSHIZAKI, Hugo Tsugunobu Yoshida. Modelos de otimização de localização e inventário em cadeias de suprimentos:uma revisão de literatura.
MOHAMMADI, Salar et al. A robust neutrosophic fuzzy-based approach to integrate reliable facility location and routing decisions for disaster relief under fairness and aftershocks concerns.Computers & Industrial Engineering, v. 148, p. 106734, 2020.https://doi.org/10.1016/j.cie.2020.106734
OWEN, S. H., DASKIN, M. S.Strategic facility location: A review.1998,p. 423–447.POCHAN, Jessada; PICHAYAPAN, Preda; ARUNOTAYANUN, Kriangkrai. A modeling framework of hierarchical earthquake relief center locations under demand uncertainty.International Journal, v. 18, n. 65, p. 23-33, 2020.https://doi.org/10.21660/2020.65.12752
RAMSHANI, Mohammad et al.Two level uncapacitated facility location problem with disruptions.Computers & industrial engineering, v. 137, p. 106089, 2019.https://doi.org/10.1016/j.cie.2019.106089
RATNAYAKE, Shalini Navodika; STARITA, Stefano. Reliable Supply Chain Network Design and Fortification. A Case Study on Luxury Fashion Retail in Thailand. In:2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2020. p. 447-453.https://doi.org/10.1109/ICIEA49774.2020.9102039SA
BOUHI, Fatemeh et al. A multi-cutL-shaped method for resilient and responsive supply chain network design.International Journal of Production Research, v. 58, n. 24, p. 7353-7381, 2020. https://doi.org/10.1080/00207543.2020.1779369
SALMAN, F. Sibel; YÜCEL, Eda. Emergency facility location under random network damage: Insights from the Istanbul case.Computers & Operations Research, v. 62, p. 266-281, 2015.https://doi.org/10.1016/j.cor.2014.07.01
SEURING, Stefan; GOLD, Stefan. Conductingcontent‐analysis based literature reviews in supply chain management.Supply Chain Management: An International Journal,p.544–555, 2012. https://doi.org/10.1108/13598541211258609
SHISHEBORI, Davood; YOUSEFI BABADI, Abolghasem; NOORMOHAMMADZADEH, Zohre. A Lagrangian relaxation approach to fuzzy robust multi-objective facility location network design problem.Scientia Iranica, v. 25, n. 3, p. 1750-1767, 2018. https://doi.org/10.24200/sci.2017.4447
SINGH, Amit Raj et al. Design of global supply chain network with operational risks.The International Journal of Advanced Manufacturing Technology, v. 60, n. 1, p. 273-290, 2012. https://doi.org/10.1007/s00170-011-3615-9
SNYDER, Lawrence V.; DASKIN, Mark S. Reliability models for facility location: the expected failurecost case.Transportation Science, v. 39, n. 3, p. 400-416, 2005.https://doi.org/10.1287/trsc.1040.0107
THOMÉ, Antônio Márcio Tavares; SCAVARDA, Luiz Felipe; SCAVARDA, Annibal José. Conducting systematic literature review in operations management.Production Planning & Control, v. 27, n. 5, p. 408-420, 2016. https://doi.org/10.1080/09537287.2015.1129464
TIMPERIO, Giuseppe et al.Decision support framework for location selection and disaster relief network design.Journalof Humanitarian Logistics and SupplyChain Management, 2015.https://doi.org/10.1108/JHLSCM-11-2016-0040
TOLOOIE, Ali; MAITY, Meghna; SINHA, Ashesh Kumar. A two-stage stochastic mixed-integer program for reliable supply chain network design under uncertain disruptions and demand.Computers &Industrial Engineering, v. 148, p. 106722, 2020.https://doi.org/10.1016/j.cie.2020.106722
TRANFIELD, David; DENYER, David; SMART, Palminder. Towards a methodology for developing evidence‐informed management knowledge by means of systematic review.British journal of management, v. 14, n. 3, p. 207-222, 2003. https://doi.org/10.1111/1467-8551.00375
WANG, Jiguang; SU, Kan; WU, Yucai.The reliable facility location problem under random disruptions.Wireless Personal Communications, v. 102, n. 4, p. 2483-2497, 2018.https://doi.org/10.1007/s11277-018-5267-7
WANG, Yong Ming; YIN, Hong Li. Integrated optimization for supply chain with facility disruption. In:IEEE International Conference on Mechatronics and Automation. IEEE, 2013. p. 1625-1629.https://doi.org/10.1109/ICMA.2013.6618158
VAN WASSENHOVE, Luk N. Humanitarian aid logistics: supply chain management in high gear.Journal of the Operational research Society, v. 57, n. 5, p. 475-489,2006.https://doi.org/10.1057/palgrave.jors.2602125
XIE, Siyang; AN, Kun; OUYANG, Yanfeng. Planning facility location under generally correlated facility disruptions: Use of supporting stations and quasi-probabilities.Transportation Research Part B: Methodological, v. 122, p. 115-139,2019. https://doi.org/10.1016/j.trb.2019.02.001
XIE, Siyang; OUYANG, Yanfeng. Reliable service systems design under the risk of network access failures.Transportation Research Part E: Logistics and Transportation Review, v. 122, p. 1-13, 2019.https://doi.org/10.1016/j.tre.2018.11.002
YU, Guodong; ZHANG, Jie. Multi-dual decomposition solution for risk-averse facilitylocation problem.In:Transportation Research Part E: Logistics and Transportation Review, v. 116, p. 70-89, 2018.https://doi.org/10.1016/j.tre.2018.05.010
YUN, Lifenet al. Reliable facility location design with round-trip transportation under imperfect information Part I: A discrete model.Transportation Research Part E: Logistics and Transportation Review, v. 133, p. 101825, 2020.https://doi.org/10.1016/j.tre.2019.101825
ZARRINPOOR, N.;FALLAHNEZHAD, M. S.;PISHVAEE, M. S. Design of a reliable hierarchical location-allocation model under disruptions for health service networks: A two-stage robust approach. Computers and Industrial Engineering, v. 109, p.130–150, 2017. https://doi.org/10.1016/j.cie.2017.04.036
ZHANG, Chi; RAMIREZ-MARQUEZ, José Emmanuel; LI, Qing. Locating and protecting facilities from intentional attacks usingsecrecy.Reliability Engineering & System Safety, v. 169, p. 51-62, 2018.https://doi.org/10.1016/j.ress.2017.08.005
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