Improved Heuristic Kalman Algorithm for Solving Multi-Objective Flexible Job Shop Scheduling Problem

Ojsteršek, Robert; Zhang, Hankun; Liu, Shifeng; Buchmeister, Borut

doi:10.1016/j.promfg.2018.10.142

Cited by 20 publications

(10 citation statements)

References 19 publications

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“…For the purpose of eliminating the shortcomings and extending the method, an experimental model based on the simulation scenario method is presented, which can be used to evaluate the impact of manufacturing flexibility on a sustainable justified production system. The optimization results are shown of multi-criteria optimization of five Kacem and Brandimarte test datasets [24,25] solved using the IHKA evolution method [20] and the production adaptability modelling method. Based on the obtained numerical results, a graphical representation of the cost-time profile diagram influence on the manufacturing flexibility was performed, called the cost-time-flexibility profile diagram.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, an example is presented of an applied application of the proposed method to a medium-sized European high-mix low-volume manufacturing company. With the help of the proposed evolutionary computation method [20], modelling of manufacturing flexibility and validation of cost-time investment, depending on the manufacturing flexibility, optimization and validation of the production system was performed, in order to define the sustainable orientation of the manufacturing company. Based on the numerical and graphical results, the IHKA evolutionary computational method best solved the multi-criteria optimization problem of a flexible job shop scheduling problem, represented by the RW_PS real-world dataset and evaluated by C-metric performance measures.…”

Section: Discussionmentioning

confidence: 99%

“…Multi-criteria optimization problems involve more than one optimization function, where several variables of the optimization problem need to be optimized. A main characteristic of multi-objective optimization is that there is not only one optimal solution optimizing the optimization function, but, for these functions, there are infinitely many Pareto optimal solutions [20]. Pareto optimal solutions are non-dominant, Pareto optimal, or Pareto effective.…”

Section: Multi-criteria Optimizationmentioning

confidence: 99%

“…Table 5 shows the mathematically assigned material cost values for individual orders. We labelled the values of the material costs that were allocated mathematically in the interval between 20 and 30 EUR per order P m . Material costs' values had to be assigned in order to provide a credible CTP.…”

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confidence: 99%

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The Impact of Manufacturing Flexibility and Multi-Criteria Optimization on the Sustainability of Manufacturing Systems

Ojsteršek

Buchmeister

2020

Symmetry

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The presented manuscript deals with the impact of manufacturing flexibility on cost-time investment as a function of sustainable production, which addresses the company’s sustainable social and environmental impact adequately. The impact of manufacturing flexibility on cost-time investment in the research sphere is not described, despite the fact that we know its key role in the high-mix low-volume production types. Recently, researchers have been addressing intensively the impacts of various parameters on the sustainable aspect and its dependence on manufacturing flexibility. The complexity of the influence parameters is reflected in the multi-criteria nature of optimization problems that can be solved with appropriate use of the evolutionary computation methods. The manuscript presents a new method of manufacturing flexibility modelling, with respect to the four-level architectural model, which reflected as a symmetry phenomena influence on the cost-time profile diagram. The solution to a complex optimization problem is derived using the proposed improved heuristic Kalman algorithm method. A new method is presented of optimization parameters’ evaluation with respect to the manufacturing flexibility impacts on cost-time investment. The large impact of appropriate multi-criteria optimization on a sustainably justified production system is presented, with the experimental work on benchmark datasets and an application case. The new method allows a comprehensive optimization approach, and validation of the optimization results by which we can provide more sustainable products, manufacturing processes, and increase the company’s total, social and environmental benefits.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Multi-criteria Optimizationmentioning

confidence: 99%

mentioning

confidence: 99%

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The Impact of Manufacturing Flexibility and Multi-Criteria Optimization on the Sustainability of Manufacturing Systems

Ojsteršek

Buchmeister

2020

Symmetry

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“…Mathematical modelling of manufacturing flexibility and parameters affecting sustainable viability are presented, based on a four-level architectural model. A simulation study conducted in the Simio simulation environment and the self-developed IHKA evolutionary computation method, allow optimal allocation of work orders from the standpoint of sustainable manufacturing justification [10,11]. The proposed mathematical and simulation modelling method is evaluated with two benchmark datasets [12,13], and one dataset from a real-world manufacturing system, on the basis of which a comparison is made between optimised and non-optimised manufacturing systems.…”

Section: Introductionmentioning

confidence: 99%

Simulation Study of a Flexible Manufacturing System Regarding Sustainability

Ojsteršek¹,

Acko²,

Buchmeister³

2020

Int. j. simul. model.

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The presented manuscript deals with the impact of manufacturing flexibility on the sustainability justification of the manufacturing system, related to manufacturing sustainable social, environmental and financial impact. Such impact is not described in the research sphere. The complexity of the optimisation parameters is reflected in the multi-objective nature that can be evaluated with the use of the simulation study method. The manuscript presents a description of manufacturing flexibility modelling, with respect to the four-level architectural model, describing an optimisation problem of high-mix low-volume production. The impact of manufacturing flexibility on the sustainability justification is presented by the new block diagram. Sustainability parameters' mathematical modelling is presented with two main optimisation parameters of energy consumption and machine scrap percentage. The impact is evaluated and described by an appropriate multi-criteria optimisation method on a sustainably justified production system.

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Use of a Simulation Environment and Metaheuristic Algorithm for Human Resource Management in a Cyber-Physical System

Zhang

Buchmeister

Liu

et al. 2019

Springer Series in Advanced Manufacturing

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At the time of Industry 4.0 and the emergence of collaborative workplaces based on the cooperation of robots (machines) and humans, the number of human workplaces in the Industry 4.0 production system is crucial. In this chapter, we present the use of the evolutionary computation methods that use the input data of a real production system and transfer it through the five-stage Cyber-Physical System architecture into the simulation environment in order to determine the optimal number of workers. By using these methods, we confirm the hypothesis of the importance of correctly determining the number of workers in the manufacturing process in Industry 4.0. Number of workers' determination has a key influence on the product flow time, machine utilization and cost-effectiveness of a production system. Research results show the importance and effectiveness of combining evolutionary computation methods and simulation modelling for the purpose of implementing the advanced approaches of Industry 4.0. The demonstrated approach of combining evolutionary computing, simulation environments and methods of Industry 4.0 can be used from mass customization to mass production systems for the purpose of single-criteria or multi-criteria optimization.

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Improved Heuristic Kalman Algorithm for Solving Multi-Objective Flexible Job Shop Scheduling Problem

Cited by 20 publications

References 19 publications

The Impact of Manufacturing Flexibility and Multi-Criteria Optimization on the Sustainability of Manufacturing Systems

The Impact of Manufacturing Flexibility and Multi-Criteria Optimization on the Sustainability of Manufacturing Systems

Simulation Study of a Flexible Manufacturing System Regarding Sustainability

Use of a Simulation Environment and Metaheuristic Algorithm for Human Resource Management in a Cyber-Physical System

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