Production Scheduling Using Multi-objective Optimization and Cluster Approaches

Azevedo, Beatriz Flamia; Varela, Leonilde; Pereira, Ana I.

doi:10.1007/978-3-030-96299-9_12

Cited by 3 publications

(11 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, a framework about GRM is put forward, which hereafter will be named as collaborative management (CM), in the I4.0 context, and which resulted from the SLR carried out, in addition to the co-authors' own knowledge in the focused scientific domain, as can be seen, for instance, in [18][19][20][21]29,32,40,[62][63][64][65].…”

Section: Proposed Collaborative Frameworkmentioning

confidence: 99%

“…Thus, it turns out to be imperative to make use of appropriate decision support (DS) approaches and tools, which, enable dynamic and agile DS, namely through the use of multicriteria decision making (MCDM) methods and models [15], along with intelligent and/or predictive DS algorithms and systems [18,19], besides other approaches and technologies, for instance to permit parallel programming [20]. This last one can further benefit from different kind of I4.0 technology, namely from the use of high-performance computing (HPC) [20].…”

Section: Introductionmentioning

confidence: 99%

“…Instead, by considering our proposed CM framework, different kind of management P&A can be combined, along with varying types of underlying methods/algorithms, and corresponding problem-solving tools or platforms, for solving a GRM problem. Therefore, different combinations of appropriate methods and techniques, varying from applying pure mathematical optimization methods to the use of diverse types of metaheuristics, among other AI approaches, e.g., machine learning or multi-agent systems (MAS), just to mention a few, may be applied for solving the GRM problems, among others [5,7,18,19,21].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

et al. 2023

View full text Add to dashboard Cite

Nowadays, global resources management intersects with collaboration and Industry 4.0 paradigms, namely for collaboratively managing cyber-physical systems. Only organizations that cooperate with their business partners, along with their suppliers and remaining stakeholders, including their clients, will be able to permit and promote the much-needed endowing of agility, effectiveness, and efficiency in their management processes. For that, suitable decision-making paradigms, along with underlying approaches, will be needed, in order to properly fulfil current companies’ decision requirements and practices. The main purpose of this paper is to show that this can be achieved by applying combined global resources management paradigms and approaches, to reach collaboration further supported by recent technology made available through Industry 4.0. In doing so, the interaction of companies and stakeholders, supported by appropriate networks, along with varying kind of other communication and problem-solving technology, will enable them to promote and reinforce interoperation to reach the best-suited management decisions, by considering each ones’ objectives and priorities, along with common goals. To this end, in this paper, a systematic literature review methodology is used to synthetize the main contributions about the relation of these domains. The study carried out and the results obtained permitted us to realize that dynamic, integrated, distributed, parallel, intelligent, predictive, and real-time-based decision paradigms are of the upmost importance currently, but are still just scarcely being combined, which is suggested though its encompassing through a proposed collaborative management framework that is recommended to be applied, either in industry or academia, to improve global resources management processes and practices.

show abstract

Section: Proposed Collaborative Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The accomplishment this widened set of approaches, methods, tools, systems, and platforms implies the use of appropriate CollM&M paradigms, which are related to dynamic, distributed, integrated, intelligent/predictive, parallel, and real-time-based contributions [6,[24][25][26][27][28].…”

mentioning

confidence: 99%

“…Moreover, CollM&M has to ensure the fulfillment of an appropriate set of varying objectives or performance measures, which include companies' internal and external goals, and are frequently contradicting, thus further requiring the application of multicriteria and/or multiobjective and intelligent optimization methods, along with data acquisition, normalization techniques, and tools, to enable further incomplete and uncertain data processing, visualization, and analysis [2,5,13,25,29].…”

mentioning

confidence: 99%

Collaborative and Intelligent Networks and Decision Systems and Services for Supporting Engineering and Production Management

Varela

Putnik²

2022

Future Internet

View full text Add to dashboard Cite

show abstract

Analysis of a Collaborative Scheduling Model Applied in a Job Shop Manufacturing Environment

et al. 2022

View full text Add to dashboard Cite

Collaborative Manufacturing Scheduling (CMS) is not yet a properly explored decision making practice, although its potential for being currently explored, in the digital era, by combining efforts among a set of entities, either persons or machines, to jointly cooperate for solving some more or less complex scheduling problem, namely occurring in job shop manufacturing environments. In this paper, an interoperable scheduling system integrating a proposed scheduling model, along with varying kinds of solving algorithms, are put forward and analyzed through an industrial case study. The case study was decomposed in three application scenarios, for enabling the evaluation of the proposed scheduling model when envisioning the prioritization of internal–makespan-or external–number of tardy jobs-performance measures, along with a third scenario assigning a same importance or weight to both kinds of performance measures. The results obtained enabled us to realize that the weighted application scenario permitted reaching more balanced, thus a potentially more attractive global solution for the scheduling problem considered through the combination of different kinds of scheduling algorithms for the resolution of each underlying sub problem according to the proposed scheduling model. Besides, the decomposition of a global more complex scheduling problem into simpler sub-problems turns them easier to be solved through the different solving algorithms available, while further enabling to obtain a wider range of alternative schedules to be explored and evaluated. Thus, contributing to enriching the scheduling problem-solving process. A future exploration of the application in other types of manufacturing environments, namely occurring in the context of extended, networked, distributed or virtual production systems, integrating an increased and variable set of collaborating entities or factories, is also suggested.

show abstract

Production Scheduling Using Multi-objective Optimization and Cluster Approaches

Cited by 3 publications

References 11 publications

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

Collaborative and Intelligent Networks and Decision Systems and Services for Supporting Engineering and Production Management

Analysis of a Collaborative Scheduling Model Applied in a Job Shop Manufacturing Environment

Contact Info

Product

Resources

About