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Predicting due date via factory signature analysis | |
Author | Suppasit Sirithongtaworn |
Call Number | AIT Thesis no. ISE-98-30 |
Subject(s) | Production scheduling |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies |
Publisher | Asian Institute of Technology |
Abstract | To achieve on-time delivery, deviation of job completion times from their due dates must be minimized. The accurate prediction of completion time is crucial to the on-time delivery performance in either the case when the due dates are set internally by the scheduler or externally by the customers. This paper presents an approach to predict due date of jobs using factory signature curve (FSC) in a job shop with multiple products. A procedure for generating the FSC and how to use it is proposed. It is found that the information obtained from factory signature analysis could potentially be utilized to accurately predict due dates for the purpose of order promising. |
Year | 1998 |
Type | Thesis |
School | School of Advanced Technologies |
Department | Other Field of Studies (No Department) |
Academic Program/FoS | Industrial Systems Engineering (ISE) |
Chairperson(s) | Voratas Kachitvichyanukul; |
Examination Committee(s) | Anulark Pinnoi;Hasin, M. Ahsan Akhtar ; |
Scholarship Donor(s) | Government of Belgium; |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1998 |