Location of Service Facilities for the Elderly

Johnson, Michael P.; Gorr, Wilpen L.; Roehrig, Stephen F.

doi:10.1007/s10479-005-2062-0

Cited by 30 publications

(16 citation statements)

References 11 publications

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“…Some research on nonprofit applications have similar additive objective functions that maximize utility/service or minimize costs, see Chou et al (2008), Wong and Meyer (1993) and Johnson et al (2005). However, the majority of operations research literature in nonprofit settings incorporate equity as an objective.…”

Section: Literature Reviewmentioning

confidence: 99%

Sequential Resource Allocation for Nonprofit Operations

Lien

Iravani

Smilowitz

2014

Operations Research

119

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This paper studies a sequential resource allocation problem motivated by distribution operations of a nonprofit organization. The alternate objectives that arise in nonprofit, as opposed to commercial, operations lead to new variations on traditional problems in operations research and inventory management. Specifically, we consider the problem of distributing a scarce resource to meet sequentially observed customer demand. In a commercial setting, the amount distributed to each customer is determined to maximize profit; however, this objective may lead to inequitable distributions among customers. Our work in a nonprofit setting solves the sequential resource allocation problem with an objective function aimed at equitable and sustainable service. We define service in terms of fill rate (the ratio of the allocated amount to observed demand) and develop an objective function to maximize the expected minimum fill rate among customers. Through a dynamic programming framework, we characterize the structure of the optimal allocation policy for a given sequence of customers. In addition, we address customer visitation sequencing by identifying properties to consider in sequencing decisions to optimize the objective. For both inventory allocation and customer sequencing decisions, we develop heuristic methods which yield near-optimal solutions.

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Section: Literature Reviewmentioning

confidence: 99%

Sequential Resource Allocation for Nonprofit Operations

Lien

Iravani

Smilowitz

2014

Operations Research

119

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“…Johnson et al . () were concerned with the problem of facility locations for the elderly; the developed models were with different objective functions: the minimization of consumer disutility and unserved demands and the maximization of utilization. Ndiaye and Alfares () formulated the location problem of public services for nomadic population groups as a binary‐integer programming model to determine the number and locations of primary health units.…”

Section: Operations Research Applications In Different Service Industmentioning

confidence: 99%

“…Araz et al , ), whereas others developed the solutions from different objective functions and compared their performances (e.g. Johnson et al , ).…”

Section: Operations Research Applications In Different Service Industmentioning

confidence: 99%

Operations Research (OR) in Service Industries: A Comprehensive Review

Xing

et al. 2013

Syst. Res.

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The share of gross domestic product from the service industry reflects the competitiveness of a nation; the service industry in the USA accounts for around 80% of its gross domestic product, and it has been increasing gradually. Continual innovations and advances in enabling technologies for the service industry are crucial for developed countries to sustain their leading positions in the globalized economy. To clarify future research directions of operations research (OR) in the service industry, the state of art of OR has been examined systematically, the new requirements of OR are identified for its applications in service industries in comparison with those in manufacturing industries, and the limitations of existing methodologies and tools have been discussed. This paper was intended to provide an updated review on how OR has been applied in the service sector in recent years and what directions the study of OR will be carried forward in the near future. Under a proposed research framework, recent OR-related articles were collected from 17 leading OR journals and classified into the five most active sectors, that is, transportation and warehousing, information and communication, human health and social assistance, retails and wholesales, and financial and insurance services. The conclusions on the limitations of existing studies and the demanding ORs in the service have been drawn from our summaries and observations from a comprehensive review in this field.

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“…[28] develop an interactive, optimization-based spatial decision support system (SDSS) for HDM kitchen location, catchment area design, and vehicle routing for the needs of nonprofit managers seeking incremental or dramatic changes to service strategies. Johnson et al [46] design and implement hierarchical facility location models to locate facilities that provide daytime congregate services to senior citizens that minimize distance-based costs and maximize utility using current local data on senior centers and demands for services.…”

Section: Literature Reviewmentioning

confidence: 99%

Community-Based Operations Research

Johnson¹,

Smilowitz²

2007

Or Tools and Applications: Glimpses of Future Technologies

Self Cite

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Community-based operations research is defined as the collection of analytical methods applied to problem domains in which interests of underrepresented, underserved, or vulnerable populations in localized jurisdictions, formal or informal, receive special emphasis, and for which solutions to problems of core concern for daily living must be identified and implemented so as to jointly optimize economic efficiency, social equity, and administrative burdens. As such, it represents a specific domain within public-sector OR. Community-based operations research (OR) problems tend to be "messy" and highly dependent on political and social considerations. Nevertheless, solution of these problems is essential to the continued health and well-being of individuals, families, communities, and entire regions. This tutorial emphasizes current research in a variety of application areas. We identify a tension between problems that reflect unique characteristics of local communities and those that represent more general characteristics that bridge diverse communities. We propose principles for bridging the gap between quantitative model-and method-based approaches typically associated with private-sector problems, and qualitative policy and process-oriented approaches typically associated with public-sector problems. We examine two research applications in detail: food security and affordable housing. In so doing we emphasize the commonality of problem attributes and the diversity of modeling and solution methods.

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Location of Service Facilities for the Elderly

Cited by 30 publications

References 11 publications

Sequential Resource Allocation for Nonprofit Operations

Sequential Resource Allocation for Nonprofit Operations

Operations Research (OR) in Service Industries: A Comprehensive Review

Community-Based Operations Research

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