2023/01/30 by Cristiana L. Lara, John M. Wassick, Lara, Cristiana L. +1
Business, Management and Accounting · #Big Data and Business Intelligence #Business Process Modeling and Analysis #Collaboration in agile enterprises #FOS: Economics and business #General Economics (econ.GN)
paper · pdf · doi:10.48550/arxiv.2301.13174
openalex publication_date 2023/01/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper discusses the broad challenges shared by e-commerce and the process industries operating global supply chains. Specifically, we discuss how process industries and e-commerce differ in many aspects but have similar challenges ahead of them in order to remain competitive, keep up with the always increasing requirements of the customers and stakeholders, and gain efficiency. While both industries have been early adopters of decision support tools based on machine intelligence, both share unresolved challenges related to scalability, integration of decision-making over different time horizons (e.g. strategic, tactical and execution-level decisions) and across internal business units, and orchestration of human and computer-based decision-makers. We discuss future trends and research opportunities in the area of supply chain, and suggest that the methods of multi-agent systems supported by rigorous treatment of human decision-making in combination with machine intelligence is a great contender to address these critical challenges.