A Robust DEA-centric Location-based Decision Support System for Expanding Recreovía Hubs in the City of Bogotá (Colombia)
Sepideh Abolghasem, Felipe Solano, Claudia D. Bedoya, Lina P. Navas, Ana Paola Río, Edwin A. Pinzón, Andrés L. Medaglia, Olga L. Sarmiento
Multi-sectorial community programs to promote healthy living in public spaces are crucial for building a “culture of health” and could contribute to achieving the specific 2030 agendas of Sustainable Development Goals including reduction of inequalities, provision of inclusive, safe, resilient and sustainable cities and promotion of just, peaceful and inclusive societies. In this context, the Recreovía program of Bogotá (Colombia) provides physical activity classes in parks mainly for vulnerable communities. Here, we address the challenge of efficiently locating new Recreovía hubs and to do this, we develop a robust DEA-centric location-based decision support system (DSS) for guiding the Institute of Sports and Recreation of District of Bogotá on locating the best hubs to expand the Recreovía program throughout the city. This DSS will serve as a model for analytics-based decision making for expanding equivalent programs in other cities.
Distribution and Development Issues in City Logistics
Maryam Darvish, Claudia Archetti, Leandro C. Coelho
This paper discusses sustainable development issues arising in city logistics, especially those related to distribution of merchandise to stores that will then serve customers. Since these products need to be produced and stored in specialized facilities before being shipped for use, there is a trade-off between all costs, namely transportation, inventory and production.
Considering sustainability in integrated problems pose a new challenge as it makes the problem even harder to solve than the total cost minimizing approach. Aiming to revisit and enhance traditional approach towards sustainability, this paper models and solves well- known integrated problems under different objectives and compares emissions and costs. The first objective considered is total cost minimization, followed by only considering transportation costs and finally, under a load-dependent objective function, minimizing total fuel consumption.
Performance Assessment And Definition Of Improvement Paths Towards The Double Bottom-Line Of Microfinance Institutions: An Application To The MC² Network In Cameroon
Economics and Management Division, INRA MOISA 2 place Pierre Viala, Bât 26, 34060 Montpellier cedex 2, France,
Faculty of Economics and Management, University of Dschang, Cameroon, email@example.com
Microfinance institutions face a double bottom-line: financial sustainability and outreach to the poor. The objective of this paper is an assessment of the financial and social performance of village banks of the MC² (Mutuelles Communautaires de Croissance) network in Cameroon and guidance to both top and local managers helping them in their decision-making process in order to perform without trade-off between their double objective, i.e., to achieve their social mission in a sustainable manner. An analysis framework in three phases is developed. First, Data Envelopment Analysis (DEA) models are implemented for measuring efficiency, identifying best-practices, and setting benchmarking goals to less efficient MFIs. Then, a DEA operating frontier (DEA-OF) is designed to identify improvement paths, setting short-term goals towards their long-term target. Finally, DEA results are translated into indicators daily used by managers of village banks to provide them effective guidance in developing actions in accordance with their mission.
Rural and Urban Disparities in Full Routine Immunization Coverage for Under-Five Children in Nigeria: A Markov Chain Analysis
Phillips Edomwonyi Obasohan
Department of Liberal Studies, College of Administrative and Business Studies, Niger State Polytechnic, Bida Campus, Nigeria
Childhood mortality has remained a major health burden in developing countries like Nigeria. Most of the deaths have been attributed to factors that could be prevented especially through the availability of vaccines. The World Health Organization has earlier projected that full immunization of children should reach 90% at the national level by 2010. However, in spite of the huge resources committed to actualizing this target, Nigeria remains one of the top 10 countries in the world with full immunization uptake by her children less than 50%. The most worrisome of this is that wider disparities exist in full routine immunization coverage for children in rural and urban areas. This paper used Markov Chain model to analyze the data of disparities between these areas and establish that the gaps may persist for a very long time except intervention gear towards closing up the gaps are put in place
Optimising Environmental Water Release Decisions
Simranjit Kaur, Avril Horne, Michael J. Stewardson, Rory Nathan, Alysson M. Costa, Joanna M. Szemis, Natashia Boland & J. Angus Webb
Changes in climate and human action in water systems have tested the resilience of many ecosystems, sometimes to its own exhaustion. To remedy the environmental impacts of river regulation and extensive water extraction to meet human demands, Australia has created environmental water entitlements; that is, legally designated entitlements to water managed by an environmental water holder who decides when and where to release this water from storage to achieve the best possible environmental outcome. These decisions are currently supported by expert panels and “experience-based” decision making. In this talk, we discuss how to use mixed-integer programming to help decision makers in this complex task. We concentrate on the modelling challenges we have faced, including a new general strategy to incorporate expert knowledge in the models.
A Goal Programming Approach to the Optimal Resettlement of Informal Settler Families (ISF)
Alternative Planning Initiatives, Inc. (ALTERPLAN), Philippines
This paper describes an application of the goal programming (GP) approach to the development of local shelter plans in the Philippines. The GP-based decision support tool is implemented as an Excel workbook containing the mathematical formulation of the ISF relocation problem, which is then solved using the Excel Solver. The GP Tool can be used by the Local Housing Board as an instrument for understanding the problem, evaluating alternative scenarios, and assessing the effectiveness of program options, in order to develop a more successful ISF policy. The GP Tool links to information from databases and thus can be one of the last segments of calculations in a series starting from the data collection phase of planning. The GP Tool is applied in a case study evaluating the relocation options for 41,252 ISFs currently residing in District 6 of Quezon City, Philippines. This paper describes the goal programming methodology used and explains the mathematical formulation in detail. Preliminary results from a series of scenarios are then presented and analysed with respect to their implications on the proposed shelter plan.
OR and Analytics applied to real-world problems in developing countries. Some evidences from Brazil
Claudio Barbieri da Cunha
Department of Transportation Engineering, University of São Paulo, Brazil firstname.lastname@example.org
This work is divided into two parts. We initially review the main aspects of the successful application of OR to the Emergency Medical Service (EMS) of São Paulo, Brazil that allowed determining the best configuration of ambulance stations and vehicle locations and their repositioning. We then address the relevant problem of freight distribution in large cities and how data analytics is essential to properly evaluate potential initiatives aimed to mitigate this and other similar complex problems.