Analytical models to predict the performance of a single-machine system under periodic and event-driven rescheduling strategies

Vieira, Guilherme Ernani; Herrmann, Jeffrey W.; Lin, Edward M.H.

doi:10.1080/002075400188654

Cited by 70 publications

(50 citation statements)

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“…A new scheduling can be prepared at any time of occurring of unexpected event (see, Wu et al, 1993;Bierwirth & Mattfeld, 1999), or, similar to Church and Uzsoy (1992), be created in predetermined intervals, or, similar to Vieira et al (2000), be formed when a certain threshold of deflection is reached. while reactive scheduling requires a significant processing time along with various successive calculations, one of the most important benefits of this method is immediate reaction to unexpected events.…”

Section: Reactive Schedulingmentioning

confidence: 99%

Resource-constrained project scheduling problem: review of past and recent developments

Habibi¹,

Barzinpour²,

Sadjadi³

2018

10.5267/j.jpm

105

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The project scheduling problem is both practically and theoretically of paramount importance. From the practical perspective, improvement of project scheduling as a critical part of project management process can lead to successful project completion and significantly decrease of the relevant costs. From the theoretical perspective, project scheduling is regarded as one of the interesting optimization issues, which has attracted the attention of many researchers in the area of operations research. Therefore, the project scheduling issue has been significantly evaluated over time and has been developed from various aspects. In this research, the topics related to Resource-Constrained Project Scheduling Problem (RCPSP) are reviewed, recent developments in this field are evaluated, and the results are presented for future studies. In this regard, first, the standard problem of RCPSP is expressed and related developments are presented from four aspects of resources, characteristics of activities, type of objective functions, and availability level of information. Following that, details about 216 articles conducted on RCPSP during 1980-2017 are expressed. At the end, in line with the statistics obtained from the evaluation of previous articles, suggestions are made for the future studies in order to help the development of new issues in this area.

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Section: Reactive Schedulingmentioning

confidence: 99%

Resource-constrained project scheduling problem: review of past and recent developments

Habibi¹,

Barzinpour²,

Sadjadi³

2018

10.5267/j.jpm

105

View full text Add to dashboard Cite

show abstract

“…We used the predictive‐reactive scheduling (PRS) approach to identify and prioritize a list of real‐time events and activities that may occur during the operation of a food facility. The PRS approach is the dynamic scheduling technique most commonly used in modeling complex systems, such as manufacturing operations (Aytug, Lawley, McKay, Mohan, & Uzsoy, ; Herroelen & Leus, ; Mehta & Uzsoy, ; Vieira, Herrman, & Lin, ; Vieira, Herrman, & Lin, ).…”

Section: Methodsmentioning

confidence: 99%

An Agent‐Based Model for Pathogen Persistence and Cross‐Contamination Dynamics in a Food Facility

Mokhtari

Doren

2018

Risk Analysis

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We used an agent-based modeling (ABM) framework and developed a mathematical model to explain the complex dynamics of microbial persistence and spread within a food facility and to aid risk managers in identifying effective mitigation options. The model explicitly considered personal hygiene practices by food handlers as well as their activities and simulated a spatially explicit dynamic system representing complex interaction patterns among food handlers, facility environment, and foods. To demonstrate the utility of the model in a decisionmaking context, we created a hypothetical case study and used it to compare different risk mitigation strategies for reducing contamination and spread of Listeria monocytogenes in a food facility. Model results indicated that areas with no direct contact with foods (e.g., loading dock and restroom) can serve as contamination niches and recontaminate areas that have direct contact with food products. Furthermore, food handlers' behaviors, including, for example, hygiene and sanitation practices, can impact the persistence of microbial contamination in the facility environment and the spread of contamination to prepared foods. Using this case study, we also demonstrated benefits of an ABM framework for addressing food safety in a complex system in which emergent system-level responses are predicted using a bottom-up approach that observes individual agents (e.g., food handlers) and their behaviors. Our model can be applied to a wide variety of pathogens, food commodities, and activity patterns to evaluate efficacy of food-safety management practices and quantify contamination reductions associated with proposed mitigation strategies in food facilities.

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“…According to the rule used for developing the scheduling system, dynamic scheduling can be divided into four categories [36][37][38]:…”

Section: Dynamic Approachmentioning

confidence: 99%

Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era

et al. 2018

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Technological developments along with the emergence of Industry 4.0 allow for new approaches to solve industrial problems, such as the Job-shop Scheduling Problem (JSP). In this sense, embedding Multi-Agent Systems (MAS) into Cyber-Physical Systems (CPS) is a highly promising approach to handle complex and dynamic JSPs. This paper proposes a data exchange framework in order to deal with the JSP considering the state-of-the-art technology regarding MAS, CPS and industrial standards. The proposed framework has self-configuring features to deal with disturbances in the production line. This is possible through the development of an intelligent system based on the use of agents and the Internet of Things (IoT) to achieve real-time data exchange and decision making in the job-shop. The performance of the proposed framework is tested in a simulation study based on a real industrial case. The results substantiate gains in flexibility, scalability and efficiency through the data exchange between factory layers. Finally, the paper presents insights regarding industrial applications in the Industry 4.0 era in general and in particular with regard to the framework implementation in the analyzed industrial case.

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Analytical models to predict the performance of a single-machine system under periodic and event-driven rescheduling strategies

Cited by 70 publications

References 0 publications

Resource-constrained project scheduling problem: review of past and recent developments

Resource-constrained project scheduling problem: review of past and recent developments

An Agent‐Based Model for Pathogen Persistence and Cross‐Contamination Dynamics in a Food Facility

Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era

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