Robust stochastic multi-choice goal programming for blood collection and distribution problem with real application
暂无分享,去创建一个
[1] M. Busch,et al. Transfusion‐associated infections: 50 years of relentless challenges and remarkable progress , 2010, Transfusion.
[2] Melvyn Sim,et al. Robust discrete optimization and network flows , 2003, Math. Program..
[3] Parviz Ghandforoush,et al. A DSS to manage platelet production supply chain for regional blood centers , 2010, Decis. Support Syst..
[4] Yang Liu,et al. Factors affecting the frequency of red blood cell outdates: an approach to establish benchmarking targets , 2009, Transfusion.
[5] Amirhossein Khosrojerdi,et al. Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study , 2016 .
[6] Rosnah Mohd Yusuff,et al. Integrated supply chain planning under uncertainty using an improved stochastic approach , 2011 .
[7] Itir Z. Karaesmen,et al. Managing Perishable and Aging Inventories: Review and Future Research Directions , 2011 .
[8] T. Liao,et al. Optimization of blood supply chain with shortened shelf lives and ABO compatibility , 2014 .
[9] Ovidiu Listes,et al. A generic stochastic model for supply-and-return network design , 2007, Comput. Oper. Res..
[10] Turan Paksoy,et al. Revised multi-choice goal programming for multi-period, multi-stage inventory controlled supply chain model with popup stores in Guerrilla marketing , 2010 .
[11] Jun Huang,et al. The Multi-period Location-allocation Problem of Engineering Emergency Blood Supply Systems , 2012 .
[12] Seyedeh Zahra Hosseinifard,et al. The inventory centralization impacts on sustainability of the blood supply chain , 2018, Comput. Oper. Res..
[13] Karen Spens,et al. Using simulation to increase efficiency in blood supply chains , 2006 .
[14] Kamran Shahanaghi,et al. Fuzzy multi-choice goal programming , 2012 .
[15] Ozden Ustun,et al. Multi-choice goal programming formulation based on the conic scalarizing function , 2012 .
[16] Armin Jabbarzadeh,et al. Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application , 2014 .
[17] J. Rautonen,et al. Redesigning supply chain management together with the hospitals , 2007, Transfusion.
[18] M. Pratt,et al. Computer simulation analysis of blood donor queueing problems , 1982, Transfusion.
[19] J. Wal,et al. Blood platelet production with breaks : optimization by SDP and simulation , 2009 .
[20] Simon J. E. Taylor,et al. Facilitating the Analysis of a UK National Blood Service Supply Chain Using Distributed Simulation , 2009, Simul..
[21] Bijay Baran Pal,et al. A Revised Multi-choice Goal Programming Framework for Economic-environmental Power Generation and Dispatch Problem☆ , 2013 .
[22] Turan Paksoy,et al. A mixed integer programming model for a closed-loop supply-chain network , 2013 .
[23] John Blake,et al. Journal of Enterprise Information Management Using simulation to evaluate a blood supply network in the Canadian maritime provinces , 2014 .
[24] Haldun Süral,et al. Locational analysis for regionalization of Turkish Red Crescent blood services , 2007, Comput. Oper. Res..
[25] Jafri Mohd Rohani,et al. Efficiency Improvement of Blood Supply Chain System Using Taguchi Method and Dynamic Simulation , 2015 .
[26] V. Wiwanitkit. Colonoscopy with and without occult blood test pre-screening: which is more cost effective for implementation for screening for colon cancer? , 2010, Asian Pacific journal of cancer prevention : APJCP.
[27] Seyed Ali Torabi,et al. Blood collection management: Methodology and application , 2015 .
[28] Srikumar Acharya,et al. Computation of a multi-choice goal programming problem , 2015, Appl. Math. Comput..
[29] Ching-Ter Chang. Revised multi-choice goal programming , 2008 .
[30] Jeroen Beliën,et al. Supply chain management of blood products: A literature review , 2012, Eur. J. Oper. Res..
[31] Saman Hassanzadeh Amin,et al. A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return , 2013 .
[32] Elif Akçali,et al. Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design model , 2007 .
[33] Michael G. H. Bell,et al. Supply chain design for efficient and effective blood supply in disasters , 2017 .
[34] Sally C. Brailsford,et al. Using simulation to improve the blood supply chain , 2007, J. Oper. Res. Soc..
[35] Henrique Rego,et al. IT Services Management and ISO 20000: A Case Study in an IT Remote Support Company , 2014 .
[36] John T. Blake,et al. A generic modelling framework to evaluate network blood management policies: The Canadian Blood Services experience , 2014 .
[37] Jeroen Belien,et al. Supply chain management of blood products: A literature review , 2012 .