DOI :10.26650/B/SS05ET50.2024.016.02   IUP :10.26650/B/SS05ET50.2024.016.02    Full Text (PDF)

Supply Chain Analytics in the Current New World

Ashwin A. KadkolBurcu Adıgüzel MercangözJayanth SekarSadhana GopalAnkur Kumar

Disruption and volatility are very common in the new world. In light of this, the supply chain community needs mechanisms to increase resilience, agility, better risk management, design methods, decision-making capabilities, by leveraging technologies like IoT, Blockchain, and Analytics. Prerequisites are not limited to the availability of good quality data, sharing of such data, factoring in the human element, and the need for increased collaboration across supplier levels and Original Equipment Manufacturers. Supply chain analytics consists of processes that companies use to gain insight and get value from the huge data associated with the procurement, processing, and distribution of goods. In today’s new world supply chain analytics is an indispensable component of supply chain management. With the above context, this work surveys analytics efforts spanning sourcing, manufacturing, inventory, demand, warehousing, transportation, and customer relationship management with the aim of detection, response, simulation, and prediction of events. In the new era, the supply chain challenges and thus solutions are too many and very complex. In this chapter, the focus has been mostly on Transportation Analytics. Authors in this chapter have dealt with the challenges of carrier selection, shipment modality selection, shipment consolidation, shipment type, route analysis, and the formation of new routes. The intent has been to present to the reader some introductory examples from the industry where such analytics could be useful. The theoretical bases for the examples stated are not treated in this chapter, but the focus has been to mainly draw out the problem, the typical inputs & outcomes with some hints on future work.



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