Open research questions in Facility Location and Emergency Management
64 unresolved questions extracted from the limitations and future-work sections of 336 Facility Location and Emergency Management papers in our library. Each links back to the study that raised it.
What the literature leaves open
Conventional models have limitations in handling multidimensional uncertainties. There is a need for a distributionally robust optimization framework for age-friendly facility location planning.
The lack of integration between IRP and CTP in humanitarian logistics. The need for a scenario-based probabilistic approach to address unpredictable demand.
The paper identifies the gap in the planning process, where strategic planners must have some understanding of the future while recognizing its unpredictability. It highlights the need for a technique that can introduce uncertainty into the planning process.
The problem of finding the optimal location for the new facility is complex and challenging. The algorithm needs to consider the location of the existing facility and the demand points. The paper needs to analyze the complexity of the algorithm.
Future research can focus on extending the algorithm to consider multiple existing facilities. The paper provides a framework for analyzing competitive location strategies, and future research can build on this framework.
The complexity of multistop, multipurpose trips. The need to capture the differences between trips for different purposes. The need to take into account spatial flows at each stage of the trip.
A Model of the Demand for Retail Facilities, Incorporating Multistop, Multipurpose Trips · 1981 · DOIThere is a need for a complete accounting framework for the demand generated by multistop, multipurpose trips. There is a need for a model that captures the differences between trips for different purposes.
A Model of the Demand for Retail Facilities, Incorporating Multistop, Multipurpose Trips · 1981 · DOIThe paper notes that existing models often assume perfectly inelastic demand, which may not be realistic. The paper also notes that capacity constraints are often ignored in location-allocation problems. The paper highlights the need for more realistic models that incorporate spatial efficiency and equity criteria.
The paper identifies a gap in the literature regarding the consideration of spatial efficiency and equity criteria in location-allocation problems. The paper identifies a gap in the literature regarding the application of mathematical programming models to real-world problems.
The difficulty of defining a random aggregation in space, or a random partitioning. The potential for aggregation error to affect the solution to location-allocation problems. The need for methods to address the aggregation problem.
The paper identifies a gap in the existing literature on location-allocation models, specifically the lack of consideration of the effects of aggregation. The paper also identifies a need for methods to address the aggregation problem.
The location set-covering problem and maximal covering location problem have been studied with restricted facility placement. Allowing unrestricted facility placement can improve coverage or reduce the number of facilities needed.
The standard location-allocation problem does not account for the incrementalist nature of most locational decision making. There is a need for a solution to the stepwise location-allocation problem.
The Stepwise Location‐Allocation Problem: Exact Solutions in Continuous and Discrete Spaces · 1978 · DOIThe need to develop a more supply-oriented model - The need to consider taxes, disposable income, etc. The need to develop a sophisticated model for imports
The paper identifies a gap in the research literature on facilities location. The paper aims to fill this gap by relating the central facilities location problem to covering problems.
The need to maximize the number of people served by all facilities. The need to minimize the average distance traveled per person, for the portion of the total population which is served. The need to consider the threshold distance in the location of facilities.
Facility Location under a Maximum Travel Restriction: An Example Using Day Care Facilities · 1972 · DOIThe existing location-allocation models assume that the entire region must be served, which may not always be the case. There is a need for a more general and effective method for locating facilities under a maximum travel restriction.
Facility Location under a Maximum Travel Restriction: An Example Using Day Care Facilities · 1972 · DOIThe location-allocation problem is a complex problem that involves both location and allocation decisions. The problem has various applications in different fields, but there is a need for a framework to understand the problem.
The location of facilities is critical in areas where public transportation is lacking or where the level of living is substandard. The problem is to locate facilities so as to minimize the average distance or time that the users take to reach the facilities. The method of adjusting the resource constraint has one important drawback: a lack of sensitivity or fine tuning.
The method of adjusting the resource constraint has one important drawback: a lack of sensitivity or fine tuning. Between two levels of funding both of which produce integer solutions there may be numerous other integer solutions which are not located by the adjustment of the resource level.
The paper identifies the challenge of balancing the requirement for comprehensiveness with the need for action in a world of imperfect knowledge. It highlights the challenge of dealing with values and making decisions in the planning process.
The paper identifies a gap in the understanding of the planning process and the role of values in decision-making. It highlights the need for a clear notion of how choices are made and ends pursued in the planning process.
Future research can focus on extending the paper's approach to more complex location problems. Future research can focus on analyzing the computational complexity of the linear programming approach. Future research can focus on applying the paper's results to real-world location problems.
The existing literature does not provide a clear interpretation of the dual variables in the context of location theory. The paper identifies a gap in the existing literature regarding the determination of location rents.
The need for careful and responsive planning in inservice programs. The importance of active staff involvement.
Most-cited papers in Facility Location and Emergency Management
- The Post-Disaster Debris Clearance Problem Under Incomplete Information · Operations Research · 2015 · 142 citations
- Prepositioning and distributing relief items in humanitarian logistics with uncertain parameters · Socio-Economic Planning Sciences · 2020 · 99 citations
- GIS-based fuzzy multi-criteria approach for optimal site selection of fire stations in Istanbul, Turkey · Socio-Economic Planning Sciences · 2020 · 76 citations
- Location-allocation problem for resource distribution under uncertainty in disaster relief operations · Socio-Economic Planning Sciences · 2022 · 65 citations
- Placement Optimization in Refugee Resettlement · Operations Research · 2021 · 64 citations
- Past the Tipping Point: The Persistence of Firefighting in Product Development · California Management Review · 2001 · 62 citations
- Dynamic Distribution of Patients to Medical Facilities in the Aftermath of a Disaster · Operations Research · 2018 · 59 citations
- Demand prediction of emergency materials using case-based reasoning extended by the Dempster-Shafer theory · Socio-Economic Planning Sciences · 2022 · 50 citations
- Forecasting in humanitarian operations: Literature review and research needs · International Journal of Forecasting · 2020 · 47 citations
- A stochastic programming model for emergency supply planning considering transportation network mitigation and traffic congestion · Socio-Economic Planning Sciences · 2021 · 41 citations
Most recent work
- An integrated location-inventory-transportation problem under demand uncertainty · Transportation Research Part E Logistics and Transportation Review · 2026
- Route Optimization in Disaster Relief Processes: Pythagorean Fuzzy AHP and TOPSIS Approach for Kırıkkale · Uluslararası mühendislik araştırma ve geliştirme dergisi · 2026
- Systems optimization for enhancing community resilience to natural hazards: a review of integrated modeling approaches · Environment Systems & Decisions · 2026
- Hybrid integration of TOPSIS and machine learning models in a scenario-aware framework for shelter prioritization under conflict conditions · Journal of King Saud University Computer and Information Sciences · 2026
- A multi-channel retail store location model considering customer retry purchasing patterns · Transportation Research Part E: Logistics and Transportation Review · 2026
- Robust Optimization for Age-friendly Facility Location Problem · Journal of Systems Science and Systems Engineering · 2026
- Integrated Production, Location, and Distribution Problems: Models and Hybrid Heuristic · International Transactions in Operational Research · 2026
- OTIMIZAÇÃO DA EXPANSÃO DA REDE FEDERAL DE EDUCAÇÃO PROFISSIONAL E TECNOLÓGICA: UMA ABORDAGEM BASEADA EM HEURÍSTICAS PARA O PROBLEMA DE LOCALIZAÇÃO DE MÁXIMA COBERTURA · Zenodo (CERN European Organization for Nuclear Research) · 2026
- A covering tour-based inventory routing framework for humanitarian logistics · Annals of Operations Research · 2026
- Emergency resource sharing in chemical industry parks: An evolutionary game perspective · Safety Science · 2026
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