Abstract
dc:description.abstractCompany X is facing high cost to serve customers such as hospitals and clinics, due to irregular ordering pattern. Currently, the customer ordering process is not well planned and leads to multiple orders in a month, thereby excessive shipping and increased cost to serve. The supplies provided to customers are used for specimen collection, and the collected specimen are sent to diagnostic laboratories for analysis. Historical data on order quantities of specimen collection items (SCIs) and specimen containers returned to lab are available. This project takes advantage of the closed loop nature of the system to predict order quantities of SCIs. This project explores two replenishment strategies and compares it with the current method, through simulation.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Sloan School of Management
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Thomas, Merin,M.B.A.Sloan School of Management.
- Advisor dc:contributor.advisor
-
- David Simchi-Levi and Jonas Jonasson.
Subjects
dc:subject × 3Rights
dc:rights- Statement dc:rights
-
- MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/122904
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/122904