Due date quoting and scheduling interaction in production lines

Authors:
A. Alfieri
Affiliations:
Dipartimento di Sistemi di Produzione ed Economia dell'Azienda, Politecnico di Torino, Italy
Venue:
International Journal of Computer Integrated Manufacturing
Year:
2007

Citing 4
Cited 1

Robust scheduling to hedge against processing time uncertainty in single-stage production

Management Science
Quoting customer lead times

Management Science
Stochastic Scheduling on Parallel Machines Subject to Random Breakdowns to Minimize Expected Costs for Earliness and Tardy Jobs

Operations Research
A Simple, Robust Leadtime-Quoting Policy

Manufacturing & Service Operations Management

Study of stochastic sequence-dependent flexible flow shop via developing a dispatching rule and a hybrid GA

Engineering Applications of Artificial Intelligence

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Abstract

Scheduling is one of the most important activities of many firms, especially in a make-to-order environment, since it is used for planning external activities (e.g. material procurement) and quoting customers' due dates. Changes in schedules (owing, for example, to a machine failure) may delay activities and decrease the customer service level. Our work combines lead time quoting with scheduling decisions. We use a computer-based simulation to study a production line in a dynamic context, with multiple job types, stochastic job arrivals and random machine failures. The results of our experiment show a strict relationship among lead time quoting policies, scheduling algorithms, customer service level and cost function used to evaluate the performance of the firm and this relationship itself is shown to represent a powerful tool for production managers.