Models for design and control of stochastic, multi-item batch production systems
Operations Research
Efficient visit frequencies for polling tables: minimization of waiting cost
Queueing Systems: Theory and Applications
Efficient visit orders for polling systems
Performance Evaluation
Heuristic scheduling of parallel heterogeneous queues with set-ups
Management Science
Optimization of Polling Systems
Performance '90 Proceedings of the 14th IFIP WG 7.3 International Symposium on Computer Performance Modelling, Measurement and Evaluation
Managing Stochastic Multiproduct Systems: Model, Measures, and Analysis
Operations Research
Optimal manufacturing batch size with rework process at a single-stage production system
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Industrial Engineering
Solving the single-machine sequencing problem using integer programming
Computers and Industrial Engineering
Computers and Industrial Engineering
Single-machine scheduling jobs with exponential learning functions
Computers and Industrial Engineering
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In this paper, we consider scheduling of a multi-item single stage production-inventory system in the presence of uncertainty regarding demand patterns, production times and switchover times. For a given specification of base-stock levels of individual items and under (S-1, S) requests for replenishment policy, a mathematical program to minimize long-run average system wide costs is formulated. We derive approximations for the first two moments of demand over lead time using residual service analysis of vacation queue models. Subsequently, we develop an approximate convex program for the original cost model and determine optimal production frequencies for individual types. Based on these relative frequencies, we determine a table size and devise an efficient heuristic to construct a tabular sequence in which individual items appear according to their respective absolute frequencies and items are positioned such that variance of their inter-visit times is minimized. A numerical study that demonstrates effectiveness of the proposed policy against cyclic policies is given.