Accession Number:

AD1078503

Title:

Enabling Real-Time Supply Chain Visibility Through Predictive Analytics

Descriptive Note:

Technical Report,23 Dec 2016,23 Sep 2018

Corporate Author:

WASHINGTON UNIV SEATTLE SEATTLE United States

Personal Author(s):

Report Date:

2018-09-23

Pagination or Media Count:

29.0

Abstract:

In todays inter-connected economy, original equipment manufacturers OEMs procure parts, many of which have lead times of more than a year, from hundreds of globally distributed suppliers. The OEM suppliers, which are often small and medium-scale enterprises SMEs, obtain parts themselves from many other dispersed suppliers, leading to the creation of complex supply chain networks with several layers of hierarchical dependencies. The networks frequently include multiple bottlenecks in the form of specialized suppliers who act as sole sources of certain critical parts. These characteristics make it imperative to have a high degree of visibility into the flow of parts through the networks to facilitate production planning and inventory management for OEMs and SMEs alike. However, the critical information pertaining to operation schedules, production capacities, and material procurement decisions are typically not shared among the stakeholders to maintain competitive benefits. Hence, part flows must be predicted based on either supplier promises and historical performances, or demand estimates and buyer preferences.

Subject Categories:

  • Logistics, Military Facilities and Supplies
  • Administration and Management

Distribution Statement:

APPROVED FOR PUBLIC RELEASE