Distance Functions in Location Problems

Zarinbal, Marzieh

doi:10.1007/978-3-7908-2151-2_1

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…Each of these distance measures has its own application. There are many other distance measures such as Minkowski distance, Chebyshev distance (or infinity norm), aisle distance, block distance, gauge measures, Hilbert curve, Mahalanobis distance, Hamming distance, Levenshtein distance and Hausdorff distance which have not been tested to see whether they are more realistic in real-life USFL problems (interested readers may refer to Zarinbal (2009) to learn about these measures). Additionally, nowadays, technologies such as Maps (particularly Geographic Information Systems) and GPS navigators, unlike traditional distance measures, are able to readily obtain exact distances between two points.…”

Section: Realistic Distance Measuresmentioning

confidence: 99%

OR models in urban service facility location: A critical review of applications and future developments

Farahani

Fallah

Ruíz

et al. 2019

European Journal of Operational Research

103

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Facility location models are well established in various application areas with more than a century of history in academia. Since the 1970s the trend has been shifting from manufacturing to service industries. Due to their nature, service industries are frequently located in or near urban areas which results in additional assumptions, objectives and constraints other than those in more traditional manufacturing location models. This survey focuses on the location of service facilities in urban areas. We studied 110 research papers across different journals and disciplines. We have analyzed these papers on two levels. On the first, we take an Operations Research perspective to investigate the papers in terms of types of decisions, location space, main assumptions, input parameters, objective functions and constraints. On the second level, we compare and contrast the papers in each of these applications categories: a) Waste management systems (WMS), b) Large-scale disaster (LSD), c) Small-scale emergency (SSE), d) General service and infrastructure (GSI), e) Non-emergency healthcare systems (NEH) and f) Transportation systems and their infrastructure (TSI). Each of these categories is critically analyzed in terms of application, assumptions, decision variables, input parameters, constraints, objective functions and solution techniques. Gaps, research opportunities and trends are identified within each category. Finally, some general lessons learned based on the practicality of the models is synthesized to suggest avenues of future research.

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Section: Realistic Distance Measuresmentioning

confidence: 99%

OR models in urban service facility location: A critical review of applications and future developments

Farahani

Fallah

Ruíz

et al. 2019

European Journal of Operational Research

103

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“…Terminal location is recognized as an important factor for efficient cargo flows due to its direct and indirect influence on physical distribution cost, timeliness and environmental effects (Sule, 2001;Sirikijpanichkul and Ferreira, 2005). When locating dry ports, consideration should also be given to availability of land, proximity to utilities and transport facilities as well as socio-economic factors (Zarinbal, 2009;Melo et al, 2005).…”

Section: Container Flow Modeling In Freight Network With Icdsmentioning

confidence: 99%

PInland container depot integration into logistics networks based on network flow model: The Tanzanian perspective

Mwemezi¹

2012

Afr. J. Bus. Manage.

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In response to increasing container volumes, congestion and capacity constraints; ports have embarked on implementation of inland container depots (ICDs) as capacity enhancement strategy. Determination of optimal routing of containers, depot location and number of depots to insert in the logistics network is a challenge faced by many ports today. This paper presents a network flow optimization model for container depot integration in multi-stage logistics network with direct shipment constraints. LINGO mathematical modeling language is used for programming and solving the model using Dar es Salaam port in Tanzania as a case study. The model evaluates various flow scenarios and simultaneously determines container routing options as well as the optimal number of depots to include in the network in order to attain minimal total cost. Partial integration approach is proven by computational result to be a superior strategy for ICD integration into the freight network.

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An Approach Towards Service Infrastructure Optimization for Electromobility

Hoerstebrock

Hahn

2013

Evolutionary Paths Towards the Mobility Patterns of the Future

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Electric mobiles are one of many possible answers regarding the increasing costs of fossil fuels and carbon emission reduction targets. The main contraint is that the new technology must cover the users' mobility needs which are still rising. Due to the technical restrictions of electric vehicles, a switch to electromobility is bound to the need for a sufficient charging infrastructure taking into account current and future mobility behavior as well as the characteristics of electric vehicles. This paper explains a methodology to design and assess the charging infrastructure layout without having a significant amount of electric vehicles available. This approach includes the use of the simulation tool TrIAS (Transportation infrastructure assessment by simulation). The basis is a planning model that is able to represent concepts and parameters like users' mobility patterns, regional street layout, available parking infrastructure as well as the e-car and its technical characteristics like range or battery capacity itself. This model is the input for a simulation-based analysis. The approach is applied in the region Bremen/Oldenburg to analyze the requirements towards a sufficient charging infrastructure for electric vehicles.

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Distance Functions in Location Problems

Cited by 5 publications

References 20 publications

OR models in urban service facility location: A critical review of applications and future developments

OR models in urban service facility location: A critical review of applications and future developments

PInland container depot integration into logistics networks based on network flow model: The Tanzanian perspective

An Approach Towards Service Infrastructure Optimization for Electromobility

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