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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Proceedings Article
MASDScheGATS: a prototype system for dynamic scheduling
TL;DR: This paper presents a prototype for MASDScheGATS (Multi-Agent System for Distributed Manufacturing Scheduling with Genetic Algorithms and Tabu Search), which combines Meta-Heuristics and Multi-Agent Systems to the resolution of real world scheduling problems.
Journal ArticleDOI
Development of a Production Planning Method for the NIFOR Digester Screw Press
B.O. Abikoye,P.E. Amiolemhen +1 more
TL;DR: In this paper, the authors examined the production planning and scheduling of jobs at the Nigerian Institute for Oil Palm Research (NIFOR) with the aim of developing an effective production planning method for the production of one of its products the Digester Screw Press (DSP).
Journal Article
Hedging Manufacturing Systems Against Assorted Random Disruptions in a Dynamic Environment
TL;DR: In this paper, the authors present a new concept with simulation results as a case study to determine the actual impact of schedule deviation in the presence of random disruptions, and show how the rescheduling parameters and emerged disruptions affect the efficiency and mainly stability of the schedule execution.
Project scheduling with modular project completion on a bottleneck resource
TL;DR: In this article, the authors model a research and development project as consisting of several modules, with each module containing one or more activities, and examine how to schedule the activities of such a project in order to maximize the expected profit when the activities have a probability of failure and when an activity's failure can cause its module and thereby the overall project to fail.
Journal ArticleDOI
Scheduling flow shop manufacturing systems considering agility issues
TL;DR: In this article, a scheduling and rescheduling strategy that helps in achieving agility and increasing its level in hybrid flexible flow shop manufacturing systems has been proposed, considering different agility factors including product volumes, types, and delivery, and proposes an index for measuring agility.
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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