A critical review of survey-based research in supply chain integration

Vaart, T. van der; Donk, Dirk Pieter van

doi:10.1016/j.ijpe.2006.10.011

Cited by 482 publications

(346 citation statements)

References 57 publications

Supporting

Mentioning

312

Contrasting

Unclassified

Order By: Relevance

“…In this research, we noted that the indicator "relationship" had the lowest score; however, if the hiring companies invest in a good relationship with their suppliers, the level of service may significantly increase. The literature confirms this positive effect of a good relationship between companies on operational logistics performance among partners (Van der vaart & Van Donk, 2008;Fynes & Voss, 2002;Prajogo, Chowdhury, Yeung, & Cheng, 2012). However, there is little collaboration between the companies in urban freight transport (Lindholm & Behrends, 2012), contributing to lower logistics performance (Castro & Kuse, 2005) through delays in deliveries and service quality.…”

Section: Introductionmentioning

confidence: 85%

Assessing carriers’ logistical performance indicator by shippers in the São Paulo Metropolitan Area

et al. 2015

View full text Add to dashboard Cite

Article Info AbstractKeywords: road freight transportation, logistical performance indicator, non-parametric tests, sustainable practices, urban freight transportation This paper aims to assess the logistics services provided by carriers in the São Paulo Metropolitan Area (SPMA) considering two perspectives: the efficiency of the operations and the adoption of sustainable measures. A survey was applied to the 15 main shippers working with the selected carrier in order to assess logistics performance indicators (on-time-in-full, relationship, lead time, service quality, etc.) as well as sustainability demands (disposal of oil, post-use tires, spare parts, etc.). A second survey was applied to 21 other shippers that hire similar services provided by other carriers in the SPMA. The results indicate that a good relationship between shippers and carriers positively impacts the evaluation of the carriers. Approximately 64% of the informants claim that gas emissions followed by disposal of lubricant, tires and spare parts are the major unsustainable practices to be avoided. This study makes two contributions: to show the most relevant sustainable and logistics aspects that carriers must consider for their services from the viewpoint of shippers and to analyse the influence of the relationship between the companies on the performance indicators.

show abstract

Section: Introductionmentioning

confidence: 85%

Assessing carriers’ logistical performance indicator by shippers in the São Paulo Metropolitan Area

et al. 2015

View full text Add to dashboard Cite

show abstract

“…According to Figure 2, the size of the set of vertices is 17, thus V={1,2,…,17} and the set of edges is: E ={(1,5), (2,5), (3,5), (4,5), (5,10),$ $ (6,10), (7,10), (8,10), (9,10), (11,13), (10,13), (10,14), (12,14), (13,15), (13,16), (14,17)}. The subset of delivering stages is D={15, 16, 17}.…”

Section: Figure 2 Notebook Sc Structurementioning

confidence: 99%

“…Moreover, the model in this paper considers more than one option to perform a stage, contrary to what is done in the aforementioned proposal. In relation to the application of IWD to the SCD problem, there is no published attempt to solve the bi-objective SC configuration by means of IWD as shown in recent surveys specialised in SC design problem [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Supply chain design using a modified IWD algorithm

Moncayo–Martínez

2017

Rev. Fac. Ing. Univ. Antioquia

View full text Add to dashboard Cite

ABSTRACT:The Intelligent Water Drop (IWD) algorithm is inspired by the movement of real water drops in a river. A water drop could find an optimum path to a lake or sea by interacting with the conditions of its surroundings. In the process of reaching such destination, the water drops interact with the river bed while they move through it. Similarly, the supply chain problem can be modelled as a flow of supply, manufacturing, and delivery stages that must be completed to produce a finished product and then to deliver it to the end user. The problem is to select one option that carries out the stage, e.g. for a supply stage, many suppliers could supply the component represented by it. As each stage is characterised by its time and cost, multi--objective optimisation algorithm is used to minimise the time to market and production cost, simultaneously. Focusing on this analogy, this paper proposes an approach to the supply chain problem using a multi--objective extension to the intelligent water drops algorithm. Artificial water drops, flowing through the supply chain, will simultaneously minimise the production cost and the time to market of every product in a generic BOM by using the concept of Pareto optimality. A widely-used notebook supply chain in literature is solved. We provide some performance metrics of the solution and compare the Pareto set computed by the proposed algorithm with the one returned by exhaustive enumeration. RESUMEN:El Algoritmo Inteligente de Agua está inspirado en el movimiento de las gotas de agua en un río. Una gota de agua puede encontrar una ruta óptima desde un lago hacia el mar interactuando con su entorno. En el proceso de llegar a tal destino, las gotas de agua interactúan con el lecho del río mientras se mueven a través de él. Del mismo modo, el problema de la cadena de suministro puede ser modelado como un flujo de etapas de suministro, fabricación y entrega para producir un artículo terminado y luego entregarlo al usuario final. El problema es seleccionar la opción que realizará la etapa, por ejemplo en una etapa de aprovisionamiento, muchos proveedores podrían suministrar el componente. Como cada etapa tiene asociado un costo y un tiempo, un algoritmo multi-objetivo es usado para minimizar el tiempo de entrega y el costo de producción, simultáneamente. Basados en esta analogía, este trabajo propone una aproximación al problema de la cadena de suministro utilizando una extensión multi-objetivo al algoritmo de gotas de agua. Las gotas de agua artificiales que fluyen a través de la cadena de suministro minimizarán simultáneamente el costo de producción y el tiempo de entrega de cada producto utilizando el concepto de optimización de Pareto. Se soluciona una cadena de suministro de computadoras ampliamente utilizada en la literatura. Así mismo, algunas métricas de desempeño son calculadas y se compara el conjunto de Pareto calculado por el algoritmo propuesto con el obtenido por enumeración exhaustiva.

show abstract

“…The concept of supply chain integration, although not a new one is still receiving significant attention in the literature (Harland et al 2007, Van der Vaart andvan Donk 2008). As many authors argue Ngai 2004a, Pagell 2004) the integration of all activities that add value to customers, starting from product design to delivery, is the cornerstone of supply chain management, and the performance of a supply chain is dependent to a great extent on its level of integration (Stock, Greis andKasarda 1998, van der Vaart andvan Donk 2008).…”

Section: The Context Of Supply Chain Integrationmentioning

confidence: 99%

“…As many authors argue Ngai 2004a, Pagell 2004) the integration of all activities that add value to customers, starting from product design to delivery, is the cornerstone of supply chain management, and the performance of a supply chain is dependent to a great extent on its level of integration (Stock, Greis andKasarda 1998, van der Vaart andvan Donk 2008). However, a survey by Bagchi and Skjoett-Larsen (2005), in more than 100 European firms, revealed that while performance seems to have improved as a result of collaboration with suppliers, and in some cases with customers, the nature and extent of integration has been a bit selective.…”

Section: The Context Of Supply Chain Integrationmentioning

confidence: 99%