An Operational Research Approach to Allocation of Clients to a Certain Class of Service Institutions

Heinhold, Michael

doi:10.2307/3009456

Cited by 3 publications

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“…Utility estimation has provided one such basis, as for example gravity or spatial interaction models (Hu, 1964) and competing destination models (Fotheringham, 1983). Several authors assume that customers will minimise the sum of costs incurred (Heinhold, 1978;Grossman and Brandeau, 2002), including travel costs and the costs of time spent queueing and being served. Flow demand modelling is proposed by Oliveira (2004) to predict hospital utilisation within Portugal.…”

Section: Literaturementioning

confidence: 99%

Can you model growth of trust? A study of the sustainability of a rural community health centre in North India

Smith

Harper

2015

Journal of Simulation

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Can you model growth of trust? A study of the sustainability of a rural community health centre in north India )>IJH=?J Trust in the service provided by any health facility is of vital importance to its sustainability, whether it is a community clinic in a rural area of a developing country or an international telemedicine service. Community health centres can be used as a means of delivering highly accessible, low-cost health service in the developing world. A major strategic issue for planners of such centres is the expected level of uptake of services throughout a region and its eect on sustainability of any facility. In this study of a clinic in rural north India, Monte Carlo simulation is used in modelling the spatiotemporal spread of usage of the service. Trust in the provider is built both through word-of-mouth contacts and previous development activities: our study contributes to the literature with a practical application of trust modelling.keywords(trust; sustainability; Monte Carlo simulation; OR for developing countries; OR for health service; word-of-mouth spread)

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Section: Literaturementioning

confidence: 99%

Can you model growth of trust? A study of the sustainability of a rural community health centre in North India

Smith

Harper

2015

Journal of Simulation

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“…We believe that this assumption is typically not appropriate for fixed server models, where customers travel to facilities. When users choose facilities, Heinhold (1975Heinhold ( , 1978 and Grossman and Brandeau (2002) argue that customers will make their choice based on both travel time to a facility and expected waiting time at the facility. Heinhold (1975Heinhold ( , 1978 report on empirical studies of vehicle inspection stations and health clinics whose results were consistent with each user choosing a facility to minimize the sum of her travel and waiting times.…”

Section: Review Of Related Literaturementioning

confidence: 99%

Social Optimal Location of Facilities with Fixed Servers, Stochastic Demand, and Congestion

Castillo¹,

Ingolfsson²,

Sim³

2009

Production and Operations Management

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W e consider two capacity choice scenarios for the optimal location of facilities with fixed servers, stochastic demand, and congestion. Motivating applications include virtual call centers, consisting of geographically dispersed centers, walk-in health clinics, motor vehicle inspection stations, automobile emissions testing stations, and internal service systems. The choice of locations for such facilities influences both the travel cost and waiting times of users. In contrast to most previous research, we explicitly embed both customer travel/ connection and delay costs in the objective function and solve the location-allocation problem and choose facility capacities simultaneously. The choice of capacity for a facility that is viewed as a queueing system with Poisson arrivals and exponential service times could mean choosing a service rate for the servers (Scenario 1) or choosing the number of servers (Scenario 2). We express the optimal service rate in closed form in Scenario 1 and the (asymptotically) optimal number of servers in closed form in Scenario 2. This allows us to eliminate both the number of servers and the service rates from the optimization problems, leading to tractable mixed-integer nonlinear programs. Our computational results show that both problems can be solved efficiently using a Lagrangian relaxation optimization procedure.

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“…Τέτοιοι περιορισµοί, τείνουν να εξισώσουν το επίπεδο συµφόρησης στις διαφορετικές εγκαταστάσεις, είτε αυτό µετράται µε τον αριθµό των χρηστών που περιµένουν είτε µε τον χρόνος αναµονής. Εµπειρικές όµως µελέτες [87,77] έχουν δείξει ότι όταν οι πελάτες είναι αυτοί που µετακινούνται, τότε επιλέγουν εκείνη την εγκατάσταση για την οποία ελαχιστοποιείται ο χρόνος µετακίνησης και ο χρόνος αναµονής. Είναι συνεπώς πιϑανό, ένας χρήστης να επιλέξει να µην µετακινηθεί στην πιο κοντινή εγκατάσταση αλλά σε κάποια άλλη η οποία αν και είναι µακρύτερα είναι λιγότερο κορεσµένη.…”

Section: εισαγωγήunclassified

“…Επιπλέον, εµπειρικές µελέτες[87,77] έχουν δείξει ότι όταν οι πελάτες είναι αυτοί που µετακινούνται, επιλέγουν εκείνη την εγκατάσταση για την οποία ελαχιστοποιείται ο χρόνος µετακίνησης και ο χρόνος αναµονής. Συνεπώς, ένας χρήστης µπορεί να επιλέξει να µην µετακινηθεί στην πιο κοντινή εγκατάσταση αλλά σε κάποια άλλη η οποία αν και είναι µακρύτερα είναι λιγότερο κορεσµένη.…”

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Συντονισμός Και Ανταγωνισμός Στην Εφοδιαστική Αλυσίδα

Karakitsiou¹,

Καρακίτσιου²

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αὐτό δέ τό δέον ἐντί ὅπερ δει ἦµεν, τό δέ µή δέον ὅπερ οὐ δει ἦµεν. τ ω δέ µή δέοντος εἴδεε δύο, τό µέν ὑπερβολά τό δ΄ ἔλλειψις. καί ὑπερβολά µέν ἐντί τό πλέον τ ω δέοντος, ἔλλειψις δέ τό ἔλαττον τ ω δέοντος. τό δέ δέον αὐτό ἐόν ὅπερ δει ἦµεν και ἄκρον ἄν ὑπάρχοι καί µέσον· ἄκρον µέν ὅτι οὔτ΄ ἀφαιρέσιος οὔτε προσθέσιος δέεται, µέσον δέ ὅτι µεταξύ ἐύτι τ ας ὑπερβολας καί τας ἐλλείψιος. ἔχει δέ τό δέον καί τό µή δέον πρός ἄλλαλα οὕτως ὥσπερ τό ἴσον καί τό ἄνισον, καί το τεταγµένον καί τό ἄτακτον ΣΤΟΒΑΙΟΣ : ᾿ Ανθολόγιον, Θεαγούς Πυθαγορείον ἐκ του περί ἀρετης Περιεχόµενα Ευχαριστίες ix Σύντοµο Βιογραφικό xi Περίληψη xiii 1 Εισαγωγή 1

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An Operational Research Approach to Allocation of Clients to a Certain Class of Service Institutions

Cited by 3 publications

References 0 publications

Can you model growth of trust? A study of the sustainability of a rural community health centre in North India

Can you model growth of trust? A study of the sustainability of a rural community health centre in North India

Social Optimal Location of Facilities with Fixed Servers, Stochastic Demand, and Congestion

Συντονισμός Και Ανταγωνισμός Στην Εφοδιαστική Αλυσίδα

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