Optimizing Order Promising

Online purchasing is now popular following the growth of E-business. Retailers ordering online will get the exact delivery date of goods for their better management of sales operations. Suppliers should keep their competence at order promising to attract customers in the market filled with increasing competition. Generally Order Promising means that the supplier receiving an order should determine to accept the order or not. If accepted, then the supplier should determine the delivery date. Necessary data should be replied to the ordering customer. Optimizing Order Promising (OOP) is Order Promising (OP) that is optimized. This thesis probed into OP and OOP and summarized the characteristics and differences of the current OP software products on the basis of interviews and the investigation into the existing OP software suppliers - i2 Technologies, Oracle and SAP. Backed by the thorough analysis on a particular case study company, this thesis discusses the workflow and model of OOP by combining the author's own thoughts on improving existing OP workflows. A company can add many new functions to the OOP model designed in this thesis on the basis of the appropriate adjustments to the existing OP workflows and systems.

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering Systems Division.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2007

Author dc:creator

• Li, Zhipeng (Zhipeng Simon)

Advisor dc:contributor.advisor

• Lawrence Lapide.

• Engineering Systems Division.

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/1721.1/40116

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/40116