Spatial decision support systems for vehicle routing

Keenan, Peter

doi:10.1016/s0167-9236(97)00054-7

Cited by 87 publications

(45 citation statements)

References 20 publications

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“…GIS, meanwhile, are gradually being integrated with GPS and EDI, and allow planners to easily monitor vehicles on computer-based road maps. Keenan (1998) noted that planners can greatly improve the quality of routes produced by automated systems.…”

Section: Automation and Constraint Abridgmentmentioning

confidence: 99%

“…More generally, our results confirmed our first hypothesis and showed that participants did not have to see the lower levels of the abstraction hierarchy to make decisions when these levels were only needed by the system (GPS, GIS, EDI) to calculate solutions. Keenan (1998) had previously argued that routing interfaces should be supplemented with maps and spatial data (e.g., administrative boundaries). However, our results indicated that this lower-level information was superfluous to requirements.…”

Section: Abridged Vs Unabridged Interfacementioning

confidence: 99%

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Implications of Technological Changes in Vehicle Routing Interfaces for Planners' Constraint Processing

Cegarra

Gacias

López

2012

Hum Ftrs & Erg Mfg Svc

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This study sought to assess the consequences of technological changes in vehicle routing interfaces for planners' constraint processing during route selection. An experiment featuring vehicle routing problems was designed to test interfaces reflecting technological changes, including automation leading to simplified interfaces and the display of multiple routes computed by algorithms. Twelve participants who had worked for a small transport company for 9 months were exposed to all these interfaces. Mental workload, performance, and decision‐making times were measured. Results revealed that automation decreases mental workload and decision times, attributable to the abridged (vs. unabridged) display of constraints on the interface. Results also showed that the perceptual (vs. analytical) display of routes greatly decreases decision times and enhances performances. Results are finally discussed in terms of information reliance, automation accuracy, and graphical forms tailored to meet genuine support needs. © 2012 Wiley Periodicals, Inc.

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Section: Automation and Constraint Abridgmentmentioning

confidence: 99%

Section: Abridged Vs Unabridged Interfacementioning

confidence: 99%

Implications of Technological Changes in Vehicle Routing Interfaces for Planners' Constraint Processing

Cegarra

Gacias

López

2012

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…Their research studied the problem of global positioning system based addressing, vehicle routing, and resource discovery. Other research on GPS technologies also focuses on a variety of situations, including for instance, vehicle delivery and routing (Keenan, 1998), urban and forest planning (Sui, 1998), emergency management of fire truck and ambulances (Derekenaris et al, 2001), as well as construction and engineering management (Li et al, 2003). However, limited work has been done on GPS and related technology application in logistics firms in emerging economies.…”

confidence: 99%

Using Information Technology To Optimize Operations Of Third-Party Logistics Provider

Zhong

Zhou

2011

IJMIS

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“…Crossland et al have shown that SDSS offer more effective support than traditional DSS in site location tasks (Crossland, Wynne, and Perkins, 1995). Extensive research on SDSS has been conducted in various disciplines, such as vehicle routing (Keenan, 1998;Tarantilis and Kiranoudis, 2002) water resource management (Prato and Hajkowicz, 1999;Makropoulos, Butler, and Maksimovic, 2003;Walsh, 1993), site allocation and assessment problems (Maniezzo, Mendes, and Paruccini, 1998;Dung, and Sugumaran, 2005) etc.…”

Section: Facility Related Business Analysis and Decision Making Researchmentioning

confidence: 99%

iFAO: Facility Network Transformation Services for Specific Customer Oriented Service Industries

Dong¹,

Bai²,

Yin³

et al. 2009

Service Science

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acility Network Transformation (FNT) is a strategic approach to assess and optimize industrial facility networks for new site selection, demand forecasting, and performance evaluation in customer oriented service industries such as banking and retail. In practice, FNT requirements are often diverse, dynamic and industry specific. It is often difficult to implement a generic FNT service fully integrated with legacy systems. The heterogeneity of spatial information further calls for a loosely coupled architecture. An innovative spatial decision support system, iFAO (Intelligent Facility Network Analytics and Optimization), for FNT problems using Service Oriented Architecture principles was developed. In this paper, key FNT service patterns are identified and modeled to provide an industry independent solution, and an SOA-based framework for iFAO is proposed. An underlying data model design is elaborated which acts as a common language for experts from different domains to communicate and help speed up the solution development. A retail case is presented to illustrate how SOA based iFAO services are integrated to address real industrial problems, especially for quick decisions on business strategy in the competitive and everchanging marketplace.

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Spatial decision support systems for vehicle routing

Cited by 87 publications

References 20 publications

Implications of Technological Changes in Vehicle Routing Interfaces for Planners' Constraint Processing

Implications of Technological Changes in Vehicle Routing Interfaces for Planners' Constraint Processing

Using Information Technology To Optimize Operations Of Third-Party Logistics Provider

iFAO: Facility Network Transformation Services for Specific Customer Oriented Service Industries

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