Integrated inventory valuation in multi-echelon production/distribution systems

Fernandes, Rui; Gouveia, Borges; Pinho, Carlos

doi:10.1080/00207543.2012.737947

Cited by 19 publications

(7 citation statements)

References 56 publications

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“…BDA is also used to address problems within a multi-tier distribution network whereas it determines optimal inventory levels while considering demand variability, lead time delays and service levels (Wang and Lei, 2012;Guo and Li, 2014). Therefore, it would be possible for managers to have a holistic view of inventory levels before deciding on an optimal level of safety stocks (Fernandes et al, 2013;Guerrero et al, 2013). Distribution.…”

Section: Use Of Big Data In Supply Chain Managementmentioning

confidence: 99%

Challenges with big data analytics in service supply chains in the UAE

Khan

2019

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Purpose The purpose of this paper is to study the challenges associated with big data analytics (BDA) in service supply chains in the United Arab Emirates (UAE). Design/methodology/approach A comprehensive questionnaire has been developed based on semi-structured interviews with different administrators and IT experts. In the second phase, data (n=164) are collected from procurement, operations, administration and customer service staff in the UAE. In the third phase, responses are examined using principal component analysis to identify eight major challenges for big data. A structural model is developed to examine the significance of these dimensions to the notion of big data challenges in supply chains. Findings The statistical model shows 66 percent variance of response to BDA, which is caused by technical, cultural, ethical, operational, tactical, procedural, functional and organizational challenges. These are positively correlated measurement challenges with BDA in service supply chains. Research limitations/implications Service supply chain professionals and stakeholders believe that catering to the challenges with BDA must be a multi-faceted approach and not limited to specific practices. Practical implications The challenges with BDA should be taken into planning and implementation from a holistic perspective. The framework in this paper can have both theoretical and practical implications. Originality/value The contribution of this paper is to advance the understanding of BDA in service sector by viewing it from the perspective of different stakeholders.

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Section: Use Of Big Data In Supply Chain Managementmentioning

confidence: 99%

Challenges with big data analytics in service supply chains in the UAE

Khan

2019

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“…SCA helps to get a complete sight at inventory altitudes across the supply chain while considering the influence of inventories at any specific echelon on other echelons. Decisions associated with safety stock optimization can be taken with the help of SCA (Fernandes et al, 2013;Guerrero et al, 2013). We hypothesize as follows:…”

Section: Inventorymentioning

confidence: 99%

Triad of Big Data Supply Chain Analytics, Supply Chain Integration and Supply Chain Performance: Evidences from Oil and Gas Sector

Mubarik

Rasi

2019

Humanities and Social Sciences Letters

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The objective of the paper is to examine the impact of big data supply chain analytics on supply chain performance. Second, study also examines the role of supply chain integration in the association between big data supply chain analytics and supply chain performance. The data were collected from 166 experts working in Oil and Gas Marketing companies. The experts were selected through expert sampling, a sub case of purposive sampling. We employed covariance based structural equation modeling to estimate the modelled relationships. The results of measurement model indicated the reliability, validity and fitness of measurement models. The findings of the study revealed a significant direct impact of big data supply chain analytics upon the five major dimensions of supply chain i.e., plan, supplier management, procurement management, make, and inventory management. Whereas the results did not show any effect of BDSCA on transportation management. Likewise, findings also revealed that distribution and network designing part of supply chain could be radically improved with the application of BDSCA. The study concludes that despite sea-potential of BDSCA in supply chain management field, the research work in this area is yet in infancy stage. Primarily, the research work aiming to know the level of BDSCA orientation and its application strategy requires immediate attention of the researchers and practitioners. Contribution/Originality:The study contributes to the literature on BDSCA-supply chain performance association in two ways. First it provides empirical evidences on the association of BDSCA and supply chain performance. Second, it clarifies the role of supply chain integration in the association between BDSCA and supply chain performance.

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“…They propose the conditions under which the three forecasting techniques would be chosen by the retailer to minimize the sum of the bullwhip effect on product orders and inventory under different weightings. Fernandes et al [11] address the problem of inventory quantification and distribution within multi-echelon supply chains under market uncertainty and management flexibility. A comparison among production sites and storage facilities reveals that higher downstream overstock levels decrease upstream echelons of uncertainty exposition.…”

Section: Literature Reviewmentioning

confidence: 99%