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Journal ArticleDOI

Dynamic rescheduling using a simulation‐based expert system

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TLDR
A rescheduling‐based dispatching strategy is investigated in a dynamic job shop environment and a flowtime prediction heuristic is developed to establish the efficacy of scheduling strategies such as shortest processing time (SPT), critical ratio, total work, etc.
Abstract
The development of a rule‐based expert system (ES), driven by a discrete event simulation model, that performs dynamic shop scheduling is described. Based on a flowtime prediction heuristic that has been developed and base‐line runs to establish the efficacy of scheduling strategies such as shortest processing time (SPT), critical ratio, total work, etc., a rescheduling‐based dispatching strategy is investigated in a dynamic job shop environment. The results are discussed and analyzed.

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Citations
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Journal ArticleDOI

A model-based rescheduling framework for managing abnormal supply chain events

TL;DR: A model-based framework for rescheduling operations in the face of supply chain disruptions is proposed, which captures all possible options to overcome the disruption effects, based on a user-specified utility function.
Journal ArticleDOI

Heuristic rescheduling of crude oil operations to manage abnormal supply chain events

TL;DR: In this article, a heuristic rescheduling strategy is proposed that overcomes the shortcomings of existing approaches for generating (near) optimal schedules for a real-world refinery typically require significantly large amounts of time.
Journal ArticleDOI

Multi-agent reinforcement learning for online scheduling in smart factories

TL;DR: Wang et al. as discussed by the authors proposed a new cyber-physical integration in smart factories for online scheduling of low-volume-high-mix orders, where attributes of machining operations are stored and transmitted by radio frequency identification (RFID) tags.
Journal ArticleDOI

The performance of priority dispatching rules in a complex job shop: A study on the Upper Mississippi River

TL;DR: Results show that rules that incorporate increasingly more systemic information generally perform better as system congestion increases, particularly when balking is not allowed, and that the balking decision of system users has a large impact on the performance of the rules and the expected utility of the system, particularly at high levels of system congestion.
Journal ArticleDOI

Simulation based knowledge elicitation: Effect of visual representation and model parameters

TL;DR: The conclusion from the experiment is that using a 2-dimensional representation with adjusted parameter settings provides the better simulation-based means for eliciting knowledge, at least for the case modelled.
References
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Book

Theory of scheduling

TL;DR: Reading theory of scheduling as one of the reading material to finish quickly to increase the knowledge and happiness in your lonely time.
Journal ArticleDOI

ISIS—a knowledge‐based system for factory scheduling

TL;DR: This paper describes ISIS, a scheduling system capable of incorporating all relevant constraints in the construction of job shop schedules, and examines both the representation of constraints within ISIS, and the manner in which these constraints are used in conducting a constraint-directed search for an acceptable schedule.
Journal ArticleDOI

Survey of scheduling research involving due date determination decisions

TL;DR: A critical review of a particular segment of scheduling research in which the due to date assignment decision is of primary interest is presented, observing that while the static single- machine problem with constant or common due dates has been well researched, very little or no work has been done on the dynamic multi-machine problem with sophisticated due date assignment methods.
Book

Heuristic scheduling systems

Upendra Dave
TL;DR: In this paper, the authors present a heuristic scheduling system for heuristics in the context of the ORS system, which is based on the concept of heuristic heuristic.
Journal ArticleDOI

Due dates in job shop scheduling

TL;DR: In this article, the effect of three loading rules (FIFO, St and SI∗) on waiting times, on missing due dates and on notional cost functions is examined.
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