Supply Chain Intelligence

This chapter provides on overall picture of business intelligence (BI) and supply chain analytics (SCA) as a means to support supply chain management (SCM) and decision-making. Based on the literature review, we clarify the needs of BI and performance measurement in the SCM sphere, and discuss its potential to enhance decision-making in strategic, tactical and operational levels. We also make a closer look in to SCA in different areas and functions of SCM. Our findings indicate that the main challenge for harnessing the full potential of SCA is the lack of holistic and integrated BI approaches that originates from the fact that each functional area is using its own IT applications without necessary integration in to the company’s overall BI system. Following this examination, we construct a holistic framework that illustrates how an integrated, managerially planned BI system can be developed. Finally, we discuss the main competency requirements, as well as the challenges still prohibiting the great majority of firms from building smart and comprehensive BI systems for SCM.fi=vertaisarvioitu|en=peerReviewed

Adaptation and adaptability in logistics networks

International audienceMost logistics and supply chain management studies take a “systems view”, where all elements are to be understood by how they affect/are affected by other elements with which they interact. Supply chain integration requires that elements be adapted to each other. However, the literature suggests that there may be trade-offs between previous and present adaptations and future adaptability. A case is used to illustrate such trade-offs and the relevance of choice of system borders when such trade-offs are analysed. In logistics, the view on what the relevant system borders are has changed over the years, from local optimisations to a “network view”. The paper contributes to the understanding of system boundaries, integration problems and complementarities between chain and network approaches in logistics. Conclusions regarding further research are drawn. In particular, the paper challenges the optimisation question and change of management levels, comparing the prevailing chain view with a wider network view