An online decision support system for transportation mode choice

Vannieuwenhuyse, Bart; Gelders, Ludo; Pintelon, Liliane

doi:10.1108/09576050310467269

Cited by 66 publications

(37 citation statements)

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“…Nevertheless, several authors also consider a wider perspective by including the analysis of congestion (Vannieuwenhuyse, Gelders, and Pintelon 2003), particle emissions (Clausen, Geiger, and Behmer 2012) or a multitude of environmental factors (Carlson, Forsberg, and Pålsson. 2001; as well as the domain ontologies of Muñoz et al 2013;Borsato 2014).…”

Section: Environmental Focusmentioning

confidence: 99%

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Information technology for sustainable supply chain management: a literature survey

Thöni

Tjoa

2015

Enterprise Information Systems

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In supply chain management (SCM), two topics have gained importance over the last years. On the one hand, sustainable SCM (SSCM) has become increasingly relevant and many publications have contributed to the topic. On the other hand, information technology (IT) is being progressively considered as a key enabler for efficiency in supply chains. Several research efforts have contributed to the field of IT for SSCM. However, this paper is the first recent attempt to summarise the current state of the art of how IT can affect SSCM in any structured way and to compare it with IT for 'general' SCM to give guidance for future research. This paper surveys 55 peer-reviewed articles that were retrieved through keyword searches (until May 2014). The analysis identifies research deficits as well as a lack of scientific discourse employing empirical techniques and a lack of investigations on the social sustainability. Additionally, possible topics for further research were derived by comparing the survey's results with the current research on IT for 'general' SCM following the analysis of 631 articles. Six fields could be identified, namely output/effects of IT, machine communication and multiagents, inputs and IT-supported processing, IT-enabled interorganisational exchange, quantitative IT approaches and a sector focus. ARTICLE HISTORY

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Section: Environmental Focusmentioning

confidence: 99%

“…Vannieuwenhuyse, Gelders, and Pintelon (2003) developed an interactive online tool to choose modes in a transportation network. Iakovou (2001) proposed a decision support system for risks in crude oil maritime transport operations.…”

Section: Systems For Strategic and Tactical Managementmentioning

confidence: 99%

Information technology for sustainable supply chain management: a literature survey

Thöni

Tjoa

2015

Enterprise Information Systems

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“…Baumol and Vinod (1970) were the first researchers that considered the choice of transportation and inventory from a point of view of a costs model as central elements in logistics flexibility. Furthermore, Buffa and Reynolds (1977), Jayaraman (1998) as well as Vannieuwenhuyse et al (2003), analyzed a transportation model that includes and important number of variables related to transportation as essential elements of logistics flexibility.…”

Section: Methodsmentioning

confidence: 99%

Logistics Flexibility and Customer Satisfaction in Spain’s Furniture Industry

Maldonado-Guzmán¹,

Castro²,

Valdez-Bocanegra³

2017

IBR

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The use of flexibility has been analyzed and discussed in the literature as a strategy that produces many competitive advantages and as an essential resource in enterprises for some decades. However, logistics flexibility is a rather recent construct and a variable that has also been considered as a business strategy that produces not only higher competitive advantages but also a higher level of customer satisfaction. Although logistics flexibility has several benefits in enterprises, there is still in the literature a high percentage of ignorance from a considerable amount of organizations about the effects of logistics flexibility in customer satisfaction. For this reason, the main objective of this empirical research is the analysis of the effects of logistics flexibility on the logistics related to customer satisfaction by using a sample of 322 enterprises in furniture industry in Spain. The results obtained provide empirical evidence of the positive and significant effects that logistics flexibility has on the logistics related to customer satisfaction.

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“…Moreover, a strategic decision-making model based on the analytical network process (ANP) to assist management in determining with which third party logistics provider to partner in the reverse logistics process has addressed (Meade & Sarkis, 2002). With regard to the pressure of fast delivery of small batches with minimized transportation cost, Vannieuwenhuyse and Pintelon (2003) presented a multi-criteria decision making tool (MCDM) to support logistics decision makers on the transportation mode selection process. These decision support systems help logistics service providers improve the functions of logistics operations like warehousing, transportation and human resources management and provide specific information for their client on marketing issues.…”

Section: Globalizationmentioning

confidence: 99%