Effective on-line algorithms for reliable due date quotation and large-scale scheduling
Journal of Scheduling
Manufacturing & Service Operations Management
Dynamic Lead-Time Quotation for an M/M/1 Base-Stock Inventory Queue
Operations Research
Resource Allocation Policies for Personalization in Content Delivery Sites
Information Systems Research
Editorial: How to Monetize the Value of OR
Interfaces
Computers and Industrial Engineering
A new decision making structure for managing arriving orders in MTO environments
Expert Systems with Applications: An International Journal
The capacity planning problem in make-to-order enterprises
Mathematical and Computer Modelling: An International Journal
Competitive algorithms for due date scheduling
ICALP'07 Proceedings of the 34th international conference on Automata, Languages and Programming
Queueing Systems: Theory and Applications
Competitive analysis for make-to-order scheduling with reliable lead time quotation
Journal of Combinatorial Optimization
Hi-index | 0.01 |
Motivated by applications in the manufacturing and service industries, we consider two models for coordinating scheduling with lead-time quotation: a basic model with a single customer type, and an enhanced model where an additional second customer type expects immediate service or production. In both models, revenues obtained from the customers are sensitive to the lead time, there is a threshold of lead time above which the customer does not place an order, and the quoted lead times are 100% reliable. These models are related to well-known scheduling problems, which have been studied in both offline and online settings.We introduce theimmediate quotation case and study it with the (traditional) online version. We provide complexity results for the offline case, and perform competitive analysis for the online cases. A natural question of bridging the gap between the online and quotation models leads us to thedelayed quotation model, which we study briefly. The analysis of these models provides useful qualitative insights as well.