An effective teaching-learning-based optimization algorithm for the multi-skill resource-constrained project scheduling problem

Joshi, Dheeraj; Mittal, Murari Lal; Sharma, Milind Kumar; Kumar, Manish

doi:10.1108/jm2-07-2018-0108

Cited by 11 publications

(3 citation statements)

References 35 publications

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“…The service that universities provide to students as a “service-oriented enterprise” is “education.” We can only “produce” a high-quality product—graduates—and establish a brand name in the education market by continuously and effectively improving education quality [ 8 ]. Knowledge and rules in the knowledge base are created by experts or programmers using external input in traditional decision support systems [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm

Luo

2022

Computational Intelligence and Neuroscience

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Advances in network technology have led to extensive information technology construction work in all walks of life; universities, as a key component of national development, cannot be overlooked in this regard. In today’s universities, the Web-based integrated academic management information system is widely used, promoting higher education management system innovation and improving the management level of education departments and teaching management. The traditional management mode is incapable of locating “knowledge” in the mountains of student transcripts, and the original management mode must be improved. In business, finance, insurance, marketing, and other fields, digital exploration technology is widely used. This article describes the design approach for a data mining-based analysis and management system for PE course teaching quality, as well as the application of information technology and data mining technology in PE by combining actual PE teaching in schools, with the goal of realizing a data mining-based PE performance management system to serve PE teaching in schools and improve PE teaching quality. The results show that the time required to find frequent itemsets using a traditional algorithm running on a single machine, as well as the time required to scan the database several times for frequent itemset search in a distributed cluster of 20 computing nodes, is significantly longer than that required by the data mining algorithm. As a result, the proposed sports performance management system is functional, simple, and scalable, with each functional module operating independently and cooperatively, reflecting the concept of “high cohesion and low coupling.”

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Section: Introductionmentioning

confidence: 99%

Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm

Luo

2022

Computational Intelligence and Neuroscience

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“…Numerous studies have focused on addressing the MS-RCPSP by using Teaching-Learning-Based Optimization (TLBO) algorithms. For example, Joshi et al [65] presented a mathematical model that uses a Weighted Sum TLBO algorithm to minimize the Makespan and skill divergence span. Cai et al [14] extended the Multi-Mode MS-RCPSP and proposed a multi-objective invasive weed optimization algorithm.…”

Section: Solution Approachesmentioning

confidence: 99%

The Multi-Skilled Resource-Constrained Project Scheduling Problem: A Systematic Review and an Exploration of Future Landscapes

Bahroun,

As’ad,

Tanash

et al. 2024

Management Systems in Production Engineering

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The Multi-skilled Resource Constrained Project Scheduling Problem (MS-RCPSP) is a complex and multi-faceted problem that involves scheduling activities whilst considering various resource constraints. These constraints include limited availability of workers, equipment, and materials, with each activity requiring a minimal set of skills to be executed. Furthermore, for a better resemblance to reality, workers/machines are assumed to be multi-skilled/multi-purpose posing another dimension of complexity to the problem. The objective is to minimize project duration, cost, or other relevant criteria while accounting for the inherent resources flexibility. This paper provides a systematic review of the literature pertaining to MS-RCPSP, and an in-depth analysis of 171 papers published between 2000 and 2021 inclusive. The conducted bibliometric analysis identifies the top contributing authors, most influential papers, existing research tendencies, and thematic research topics within the field. In addition, this review highlights different aspects of the MS-RCPSP, spanning the significance of performance measures, solution approaches, application areas, and the incorporation of time constraints. While project completion time, cost, and tardiness are common performance indicators, other measures such as multi-skilled staff assignment and schedule robustness are also deemed important. Although various methods have been employed to solve the MS-RCPSP including exact and approximate approaches, the selection of the most-suited approach depends on the problem’s scale, complexity, and constraints, necessitating careful consideration of each method’s strengths and weaknesses. Interestingly, several studies have jointly addressed resource and time constraints in the context of MS-RCPSP, often considering tardiness, and have proposed different algorithms, models, and metaheuristics to tackle these challenges. This paper clearly highlights research gaps and promising avenues for future research. This work provides valuable insights for project managers to effectively schedule tasks in the presence of multiple flexible resources.

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“…Moreover, the task-resource list is constructed by combining the activity list and resource list (Zheng, Wang, & Zheng, 2017). Two phases of self-study and testing are proposed to increase the performance of TLBO with the objective of minimizing the makespan or total project duration (Joshi, Mittal, Sharma, & Kumar, 2019).…”

Section: Teaching-learning-based Optimization (Tlbo) and Rcpspmentioning

confidence: 99%

Review of conventional metaheuristic techniques for resource-constrained project scheduling problem

Golab¹,

Gooya²,

Falou³

et al. 2022

10.5267/j.jpm

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This paper is concerned with an overview of the Resource-Constrained Project Scheduling Problem (RCPSP) and the conventional meta-heuristic solution techniques that have attracted the attention of many researchers in the field. Therefore, researchers have developed algorithms and methods to solve the problem. This paper addresses the single-mode RCPSP where the objective is to optimize and minimize the project duration while the quantities of resources are constrained during the project execution. In this problem, resource constraints and precedence relationships between activities are known to be the most important constraints for project scheduling. In this context, the standard RCPSP is presented. Then, the classifications of the collected papers according to the year of publication and the different meta-heuristic approaches applied are presented. Five weighted articles and their meta-heuristic techniques developed for RCPSP are described in detail and their results are summarized in the corresponding tables. In addition, researchers have developed various conventional meta-heuristic algorithms such as genetic algorithms, particle swarm optimization, ant colony optimization, bee colony optimization, simulated annealing, evolutionary algorithms, and so on. It is stated that genetic algorithms are more popular among researchers than other meta-heuristics. For this reason, the various conventional meta-heuristics and their corresponding articles are also presented to give an overview of the conventional meta-heuristic optimizing techniques. Finally, the challenges of the conventional meta-heuristics are explored, which may be helpful for future studies to apply new suitable techniques to solve the Resource-Constrained Project Scheduling Problem (RCPSP).

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An effective teaching-learning-based optimization algorithm for the multi-skill resource-constrained project scheduling problem

Cited by 11 publications

References 35 publications

Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm

Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm

The Multi-Skilled Resource-Constrained Project Scheduling Problem: A Systematic Review and an Exploration of Future Landscapes

Review of conventional metaheuristic techniques for resource-constrained project scheduling problem

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