Conference Theme Track - Innovative Research Informing Practice

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Paper Type

Complete

Paper Number

1378

Description

The retailing industry witnessed a significant shift from conventional retailing to online marketplaces, inducing many challenges on the common practices of supply chain. Supply chains are normally subject to a wide range of disruptions, that are caused by certain events. Still, few organizations are relying on appropriate data streams and required technologies to detect and report on potential disruptions in supply chain. As a result, current supply chains remain marginally adaptive and lack the ability to react to the dynamic nature of markets on strategic as well as operative levels, which leads to loss of optimization potential. Therefore, in this study, we investigate data sources that might be beneficial to develop adaptive supply chain management (A-SCM) practices. This paper presents a holistic view of A-SCM that includes a thorough analysis of the problem domain and nature, often used data sources, employed solution techniques and finally the adopted objective function.

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Res Infor Practice

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Aug 10th, 12:00 AM

A Holistic View of Adaptive Supply Chain in Retailing Industry

The retailing industry witnessed a significant shift from conventional retailing to online marketplaces, inducing many challenges on the common practices of supply chain. Supply chains are normally subject to a wide range of disruptions, that are caused by certain events. Still, few organizations are relying on appropriate data streams and required technologies to detect and report on potential disruptions in supply chain. As a result, current supply chains remain marginally adaptive and lack the ability to react to the dynamic nature of markets on strategic as well as operative levels, which leads to loss of optimization potential. Therefore, in this study, we investigate data sources that might be beneficial to develop adaptive supply chain management (A-SCM) practices. This paper presents a holistic view of A-SCM that includes a thorough analysis of the problem domain and nature, often used data sources, employed solution techniques and finally the adopted objective function.

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