Planning and scheduling problems of production systems: review, classification and opportunities

Hassani, Zineb Ibn Majdoub; Barkany, Abdellah El; Darcherif, Abdel Moumen; Jabri, Abdelouahhab; Abbassi, Ikram El

doi:10.1504/ijpqm.2019.10025168

Cited by 2 publications

(5 citation statements)

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“…This can be represented by (26). (26) After relocation, the value of the current location loc ki is evaluated against local optimum value L opt k , and the one with the best fitness value is assigned L opt k . This is defined in (27).…”

Section: B Local Optimization Phasementioning

confidence: 99%

“…In order to solve the planning and scheduling problem, the researchers have developed three types of strategies (i.e., Hierarchical, Iterative and integrated approach) [26]. In the hierarchical approach, the planning problem is solved first without considering the scheduling constraints, and then scheduling problem is solved by fixing the planning decision variables [27].…”

Section: Introductionmentioning

confidence: 99%

“…In the hierarchical approach, the planning problem is solved first without considering the scheduling constraints, and then scheduling problem is solved by fixing the planning decision variables [27]. This approach can lead to infeasible schedules [26], [28]. In the iterative approach, various planning solutions are found and then evaluated at the scheduling level.…”

Section: Introductionmentioning

confidence: 99%

“…The integrated approach is complicated and hard to solve. However, it provides a quality solution in acceptable calculation time [26]. Therefore, the integrated approach for planning and scheduling of multiple projects is used in this research.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Planning and Scheduling of Multiple Manufacturing Projects Under Resource Constraints Using Raccoon Family Optimization Algorithm

et al. 2020

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Today's dynamic environment and increasing demand for highly customized products have significantly increased the number of companies operating in the project environment. Project planning and scheduling are one of the major problems faced by managers due to resource constraints. Enterprises have to execute several projects simultaneously while sharing limited resources (i.e., human resources, equipment, and budget) among the projects to effectively meet the deadlines. Therefore, this work investigates the integrated planning and scheduling problem of multiple projects with different release dates and execution modes while considering the renewable and non-renewable resource constraints. Moreover, the raccoon family optimization (RFO) algorithm is proposed to maximize the net profit while considering the early completion bonus, penalty cost, and resource costs. In the proposed RFO algorithm, greedy search and modified genetic operators are introduced to enhance the performance and efficiency. Effectiveness of the proposed RFO algorithm is compared with the genetic algorithm (GA), raccoon optimization algorithm (ROA), and artificial bee colonial (ABC) algorithm on test cases as well as an industrial case study. The results indicate that the proposed RFO algorithm outperforms the other compared algorithms, both in terms of effectiveness and efficiency. INDEX TERMS Project planning and scheduling, multiple projects, resource constraint, execution modes, Raccoon family optimization algorithm.

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Section: B Local Optimization Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Integrated Planning and Scheduling of Multiple Manufacturing Projects Under Resource Constraints Using Raccoon Family Optimization Algorithm

et al. 2020

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“…Industry 4.0 growth is inevitable and may impact the traditional business manufacturing industry that is labor-intensive and cost-sensitive [3]. In fact, market demand is very dependent on the economic conditions, the rise of new markets, and product diversity [4]. The integration of planning and scheduling not only satisfies customers' requirements but also optimizes the resources and achieves on-time delivery.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry

Ren

Chaw

Lim³

et al. 2022

Applied Sciences

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This paper aims to investigate the optimal sorting of orders reflecting on the material changing lead time over the machines in the roofing manufacturing industry. Specifically, a number of jobs were sorted together based on the material used and then consolidated for subsequent processes, i.e., assigned to the corresponding machines. To achieve the optimal sorting for the received orders, a combinatorial dispatch rule was proposed, which were Earliest Due Date (EDD), First In First Out (FIFO), and Shortest Processing Time (SPT). The sequence of orders organized by the scheduling algorithm was able to minimize the changing material lead time and also maximize the number of orders to be scheduled in the production. Consequently, on-time delivery could be achieved. Tests based on real data have been set up to evaluate the performance of the proposed algorithm in sorting the received orders. As a result, the proposed algorithm has successfully reduced the material changing lead time by 47.3% and 40% in the first and second tests, respectively.

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Planning and scheduling problems of production systems: review, classification and opportunities

Cited by 2 publications

References 0 publications

Integrated Planning and Scheduling of Multiple Manufacturing Projects Under Resource Constraints Using Raccoon Family Optimization Algorithm

Integrated Planning and Scheduling of Multiple Manufacturing Projects Under Resource Constraints Using Raccoon Family Optimization Algorithm

Intelligent Manufacturing Planning System Using Dispatch Rules: A Case Study in Roofing Manufacturing Industry

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