Journal ArticleDOI
Executing production schedules in the face of uncertainties: a review and some future directions
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TLDR
The literature on executing production schedules in the presence of unforeseen disruptions on the shop floor is reviewed, and a taxonomy of the different types of uncertainty faced by scheduling algorithms is provided.About:
This article is published in European Journal of Operational Research.The article was published on 2005-02-16. It has received 678 citations till now. The article focuses on the topics: Production schedule & Production planning.read more
Citations
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Efficient scheduling method of complex batch processes with general network structure via agent‐based modeling
TL;DR: A novel efficient agent-based method for scheduling network batch processes in the process industry based on the resource-task network is proposed and validated by detailed comparisons with the mixed-integer programming (MIP) methods.
Journal ArticleDOI
Evolving scheduling rules with gene expression programming for dynamic single-machine scheduling problems
TL;DR: Gene expression programming-based scheduling rules constructor (GEPSRC) was proposed to construct effective scheduling rules (SRs) for DSMSPs with job release dates automatically, and results showed that GEPSRC achieved significant improvement.
Journal Article
Scheduling with uncertainty: A proactive approach using Partial Order Schedules: Thesis
TL;DR: The broad question of how to build schedules that are robust in the face of dynamicexecution environments is addressed, and the thesis defended is that to safeguard against unforeseen events.
Journal ArticleDOI
Moving horizon approach of integrating scheduling and control for sequential batch processes
Yunfei Chu,Fengqi You +1 more
TL;DR: In this paper, a new online integrated method for sequential batch processes, where the integrated problem is solved to determine controller references rather than process inputs, is proposed, and demonstrated in a simulated case study.
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A decomposition-based approach to flexible flow shop scheduling under machine breakdown
Kai Wang,S. H. Choi +1 more
TL;DR: This article considers makespan optimisation of a flexible flow shop (FFS) scheduling problem under machine breakdown and proposes a novel decomposition-based approach to decompose an FFS scheduling problem into several cluster scheduling problems which can be solved more easily by different approaches.
References
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Journal ArticleDOI
Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
TL;DR: In this article, the authors quantify the effect of the bullwhip effect on simple two-stage supply chains consisting of a single retailer and a single manufacturer and demonstrate that the effect can be reduced by centralizing demand information.
Journal ArticleDOI
The Shifting Bottleneck Procedure for Job Shop Scheduling
TL;DR: An approximation method for solving the minimum makespan problem of job shop scheduling by sequences the machines one by one, successively, taking each time the machine identified as a bottleneck among the machines not yet sequenced.
Book
Robust Discrete Optimization and Its Applications
TL;DR: This paper presents four approaches to handle Uncertainty in Decision Making using a Robust Discrete Optimization Framework and results show how these approaches can be applied to real-world problems.
Book
An algorithm for the computer control of a flexible manufacturing system
TL;DR: In this paper, a multilevel hierarchical control algorithm is proposed which involves a stochastic optimal control problem at the first level, and optimal production policies are characterized, and a computational scheme is described.
Journal ArticleDOI
An Algorithm for the Computer Control of a Flexible Manufacturing System
TL;DR: A multilevel hierarchical control algorithm is proposed which involves a stochastic optimal control problem at the first level of the system and a computational scheme is described.
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