Name
Abstract | ||
|---|---|---|
AbstractIn this paper, we describe an application of prescriptive analytics to enhance data-driven decision making at a specialty steel bar products supplier and manufacturer in North America. As part of the company's daily business, it must make available-to-promise ATP decisions, which determine in real time the dates by which it can promise delivery of products that customers requested during the quotation stage. Previously, a salesperson had to make such decisions by analyzing reports on available inventory. To support these ATP decisions, we developed a real-time decision support system DSS to find an optimal assignment of the available inventory and to support additional what-if analysis. The DSS uses a suite of mixed-integer programming models and commercial software to solve the models. The company has incorporated the DSS into its enterprise resource planning system to seamlessly facilitate its use of business analytics. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1287/inte.2013.0693 | Periodicals |
Keywords | Field | DocType |
prescriptive analytics, optimization-based decision support, available-to-promise | Enterprise resource planning,Business analytics,Programming paradigm,Decision support system,Commercial software,Available-to-promise,Engineering,Prescriptive analytics,Analytics,Operations management,Management science | Journal |
Volume | Issue | ISSN |
43 | 6 | 0092-2102 |
Citations | PageRank | References |
1 | 0.35 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Foad Mahdavi Pajouh | 1 | 1 | 0.35 |
| Dahai Xing | 2 | 1 | 0.35 |
| Yingjue Zhou | 3 | 1 | 0.35 |
| Sharethram Hariharan | 4 | 1 | 0.35 |
| B. Balasundaram | 5 | 15 | 0.95 |
| Tieming Liu | 6 | 1 | 0.35 |
| Ramesh Sharda | 7 | 1 | 0.35 |