A network planning process and inventory strategy for high-mix low-volume markets

From June to December 2011, the impact of rapid international expansion on the Global Supply Chain organization at Amgen - one of the world's leading human therapeutics companies in the biotechnology industry - was investigated and a strategy was developed to mitigate the major challenges associated with globalization. Amgen is transitioning from predominantly high-volume low-mix manufacturing and a "one size fits all" Operations mentality; the company is challenged to not only now effectively and efficiently accommodate high-mix low-volume markets, but to also increase its overall market responsiveness and flexibility. To mitigate the challenges, an end-to-end depiction of a specific product's supply chain was developed and an inventory supermarket strategy supported by an Excel macro was developed. We believe the strategy mitigates the challenges, specifically by decreasing manufacturing lead time, buffering against supply chain variability, improving demand signaling and sustaining on-time deliveries. The Excel macro described in this thesis serves as a stepping-stone for the development of a future, more sustainable solution for Amgen's enterprise-wide systems.

Department dc:contributor.department

Leaders for Global Operations Program at MIT

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2012

Author dc:creator

• Smith, Sally A. (Sally Amanda)

Advisor dc:contributor.advisor

• Deborah Nightingale and J. Bradley Morrison.

• Sloan School of Management.
• Engineering Systems Division.
• Leaders for Global Operations Program.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/73398

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/73398