Modeling Post-disaster Challenges of Humanitarian Supply Chains: A TISM Approach

Concern related to risk reduction and sustainability in disaster relief aid is increasing from past few years and will be continued due to increasing frequency of disasters and the people coming in their ways. The approach of any disaster relief activities must not be limited only to saving lives and providing relief but also to making the communities capable for next disasters they may face. Relief aid distribution is usually logistics activites but unpredictable nature of disaster, damaged communication systems, asymmetry in relief-demand information and a chaotic environment created by the disaster make it as the most challenging. Therefore, it appeals the need to identify various challenges of humanitarian supply chains and to develop a hierarchy towards achieving sustainability in relief during post extreme events. In this article, total interpretive structural modelling, an interactive tool and an innovative version of interpretive structural modeling technique, has been applied as the methodology to develop a hierarchical model that also explains the interrelation of selected fifteen challenges and the level of the hierarchy. Result of the developed model suggests that the poor strategic planning and lack of investment in ex-ante measures (limited numbers and capacity of shelters, and less numbers of in-country warehouses) lead to the lack of sustainable relief aid.

[1]  Alpana Agarwal,et al.  A TISM Based Bionic Model of Organizational Excellence , 2015 .

[2]  John N. Warfield,et al.  Developing Interconnection Matrices in Structural Modeling , 1974, IEEE Trans. Syst. Man Cybern..

[3]  G. Kovács,et al.  Humanitarian logistics in disaster relief operations , 2007 .

[4]  Sushil,et al.  Modeling enablers of TQM to improve airline performance , 2013 .

[5]  Anisya S. Thomas,et al.  Logistics training: necessity or luxury? , 2005 .

[6]  Erica Seville,et al.  Disaster waste management: a review article. , 2011, Waste management.

[7]  R. Oloruntoba,et al.  Humanitarian aid : an agile supply chain? , 2006 .

[8]  Uwe Clausen,et al.  Dynamic vehicle routing with anticipation in disaster relief , 2012 .

[9]  Yong Geng,et al.  Role of behavioural factors in green supply chain management implementation in Indian mining industries , 2013 .

[10]  G. Kovács,et al.  Identifying challenges in humanitarian logistics , 2009 .

[11]  Kathrin Fischer,et al.  Inventory relocation for overlapping disaster settings in humanitarian operations , 2011, OR Spectr..

[12]  O. Karasan,et al.  Debris removal during disaster response: A case for Turkey , 2016 .

[13]  Frank Thomalla,et al.  "We all knew that a cyclone was coming": disaster preparedness and the cyclone of 1999 in Orissa, India. , 2004, Disasters.

[14]  Alessandra Cozzolino Humanitarian Logistics: Cross-Sector Cooperation in Disaster Relief Management , 2012 .

[15]  Dilanthi Amaratunga,et al.  Post-disaster construction & demolition debris management: a Sri Lanka case study , 2012 .

[16]  V. E. Campos,et al.  Humanitarian supply chain: an analysis of response operations to natural disasters , 2014 .

[17]  A. Gunasekaran,et al.  The sustainable humanitarian supply chain design: agility, adaptability and alignment , 2016 .

[18]  J. Porritt Capitalism as if the World Matters , 2005 .

[19]  John H. Vande Vate,et al.  Transforming in-kind giving in disaster response: A case for on-line donation registry with retailers , 2013, 2013 IEEE Global Humanitarian Technology Conference (GHTC).

[20]  Shailesh Nayak,et al.  Coastal Vulnerability Assessment for Orissa State, East Coast of India , 2010 .

[21]  Randolph C Kent The United Nations' humanitarian pillar: refocusing the UN's disaster and emergency roles and responsibilities. , 2004, Disasters.

[22]  V. R. Pramod,et al.  Total Interpretive Structural Modeling (TISM) of the Enablers of a Flexible Control System for Industry , 2015 .

[23]  J. Swann,et al.  Humanitarian Logistics: Advanced Purchasing and Pre-Positioning of Relief Items , 2013 .

[24]  Chandra Sekhar Bahinipati,et al.  Assessment of Vulnerability to Cyclones and Floods in Odisha, India: A District-Level Analysis , 2014 .

[25]  Benita M. Beamon,et al.  Last Mile Distribution in Humanitarian Relief , 2008, J. Intell. Transp. Syst..

[26]  Sachin Kumar Mangla,et al.  Flexible Decision Approach for Analysing Performance of Sustainable Supply Chains Under Risks/Uncertainty , 2014 .

[27]  Gaurav Kabra,et al.  Analyzing drivers and barriers of coordination in humanitarian supply chain management under fuzzy environment , 2015 .

[28]  Sandra L. Resodihardjo,et al.  All the best laid plans…conditions impeding proper emergency response , 2010 .

[29]  Joe B. Hanna,et al.  Research in humanitarian logistics , 2011 .

[30]  Benita M. Beamon,et al.  Performance measurement in humanitarian relief chains , 2008 .

[31]  Sushil,et al.  Total interpretive structural modelling of strategic technology management in automobile industry , 2013, 2013 Proceedings of PICMET '13: Technology Management in the IT-Driven Services (PICMET).

[32]  Raktim Pal,et al.  Information Diffusion among Agents: Implications for Humanitarian Operations , 2014 .

[33]  Richard Oloruntoba,et al.  A Planning and Decision-Making Framework for Sustainable Humanitarian Logistics in Disaster Response , 2015 .

[34]  Jitendra Madaan,et al.  A Flexible Decision Model for Risk Analysis in Product Recovery Systems , 2015 .

[35]  Sushil Interpreting the Interpretive Structural Model , 2012, Global Journal of Flexible Systems Management.

[36]  George D. Haddow,et al.  Introduction to Emergency Management , 2003 .

[37]  Caroline C. Krejci,et al.  Coordination in humanitarian relief chains: Practices, challenges and opportunities , 2010 .

[38]  Jiuh-Biing Sheu,et al.  An emergency logistics distribution approach for quick response to urgent relief demand in disasters , 2007 .

[39]  Debarati Guha-Sapir,et al.  Annual Disaster Statistical Review 2009The numbers and trends , 2010 .

[40]  Surya Prakash Singh,et al.  Fuzzy-TISM: A Fuzzy Extension of TISM for Group Decision Making , 2014, Global Journal of Flexible Systems Management.

[41]  Umesh Chandra Prasad,et al.  Modeling of Continuity and Change Forces in Private Higher Technical Education Using Total Interpretive Structural Modeling (TISM) , 2011 .

[42]  A. Haleem,et al.  An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective , 2015 .

[43]  Jiuh-Biing Sheu,et al.  Dynamic Relief-Demand Management for Emergency Logistics Operations Under Large-Scale Disasters , 2010 .

[44]  Nezih Altay,et al.  Strategic planning for disaster relief logistics: lessons from supply chain management , 2009 .

[45]  A. Trivedi,et al.  Analysis of key factors for waste management in humanitarian response: An interpretive structural modelling approach , 2015 .

[46]  Santosh Rangnekar,et al.  Workplace Flexibility Dimensions as Enablers of Organizational Citizenship Behavior , 2016 .

[47]  Irina S. Dolinskaya,et al.  Disaster relief routing: Integrating research and practice , 2012 .

[48]  Rameshwar Dubey,et al.  Identification of Flexible Manufacturing System Dimensions and Their Interrelationship Using Total Interpretive Structural Modelling and Fuzzy MICMAC Analysis , 2014 .

[49]  G. Kovács,et al.  The application of "swift trust" to humanitarian logistics , 2010 .

[50]  Sushil,et al.  Modeling strategic performance factors for effective strategy execution , 2013 .

[51]  Jafar Nouri,et al.  Strategic Management of Municipal Debris aftermath of an earthquake , 2008 .

[52]  Gerald Reiner,et al.  A meta‐analysis of humanitarian logistics research , 2012 .

[53]  Kamalakanta Muduli,et al.  Modelling the challenges of green supply chain management practices in Indian mining industries , 2013 .

[54]  Luk N. Van Wassenhove,et al.  Humanitarian aid logistics: supply chain management in high gear , 2006, J. Oper. Res. Soc..

[55]  M. Rossetti,et al.  Multiple‐buyer procurement auctions framework for humanitarian supply chain management , 2010 .

[56]  Stephen Cahoon,et al.  Humanizing Humanitarian Supply Chains: A Synthesis of Key Challenges , 2013 .

[57]  Neetu Yadav Total interpretive structural modelling (TISM) of strategic performance management for Indian telecom service providers , 2014 .

[58]  Angappa Gunasekaran,et al.  Green supply chain management enablers: Mixed methods research , 2015 .

[59]  Lijo John,et al.  Modeling the Barriers of Humanitarian Supply Chain Management in India , 2016 .

[60]  Benita M. Beamon,et al.  Facility location in humanitarian relief , 2008 .

[61]  Julie L. Swann,et al.  Operations Research to Improve Disaster Supply Chain Management , 2010 .

[62]  A. Sharif,et al.  Employing a systems-based perspective to the identification of inter-relationships within humanitarian logistics , 2012 .

[63]  Lauren B. Davis,et al.  Inventory planning and coordination in disaster relief efforts , 2013 .

[64]  S. Nasim Total Interpretive Structural Modeling of Continuity and Change Forces in e-Government , 2011 .

[65]  Akhilesh Barve,et al.  Analysis of critical success factors of humanitarian supply chain: An application of Interpretive Structural Modeling , 2015 .