2013/02/13 by Tom Chávez, Chavez, Tom
Business, Management and Accounting · Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Big Data and Business Intelligence #Complex Systems and Decision Making #Computers and Society (cs.CY) #FOS: Computer and information sciences #Multi-Criteria Decision Making
paper · pdf · doi:10.48550/arxiv.1302.3565
openalex publication_date 2013/02/13 · openalex created_date 2022/10/05 · openalex updated_date 2026/07/28
Decision analysis (DA) and the rich set of tools developed by researchers in\ndecision making under uncertainty show great potential to penetrate the\ntechnological content of the products and services delivered by firms in a\nvariety of industries as well as the business processes used to deliver those\nproducts and services to market. In this paper I describe work in progress at\nSun Microsystems in the application of decision-analytic methods to Operational\nDecision Making (ODM) in its World-Wide Operations (WWOPS) Business Management\nGroup. Working with membersof product engineering, marketing, and sales,\noperations planners from WWOPS have begun to use a decision-analytic framework\ncalled SCRAM (Supply Communication/Risk Assessment and Management) to structure\nand solve problems in product planning, tracking, and transition. Concepts such\nas information value provide a powerful method of managing huge information\nsets and thereby enable managers to focus attention on factors that matter most\nfor their business. Finally, our process-oriented introduction of\ndecision-analytic methods to Sun managers has led to a focused effort to\ndevelop decision support software based on methods from decision making under\nuncertainty.\n