Sustainable evaluation of environmental and occupational risks scheduling flexible job shop manufacturing systems

Coca, Germán; Castrillón, Omar Danilo; Ruiz, Santiago; Mateo-Sanz, Josep María; Jiménez, Laureano

doi:10.1016/j.jclepro.2018.10.193

Cited by 38 publications

(36 citation statements)

References 51 publications

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“…In the third generation, the survival duration of individual 5 and individual 52 is 2, while the survival duration of individual 202 is 1. The survival duration of the best individual of each objective is calculated according to Equation (18).…”

Section: Calculate the Survival Duration Of All Individuals And Thementioning

confidence: 99%

A survival duration‐guided NSGA‐III for sustainable flexible job shop scheduling problem considering dual resources

2021

IET Collab Intel Manufact

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Considering the increasing concern on sustainable development from manufacturers, focus is given to three kinds of indicators of sustainable development, that is, economy, environment, and society, and schedule two types of resource, that is machines and workers, simultaneously in the classical flexible job shop scheduling problem. The authors define it as a sustainable flexible job shop scheduling problem considering dual resources (SFJSPCDR). First, a model of the SFJSPCDR is formulated to optimise the makespan, the energy consumption, and the ergonomic risk simultaneously. Second, an improved survival duration-guided NSGA-III algorithm (SDG-NSGA-III) is proposed to solve SFJSPCDR. The survival duration of each individual determines whether it takes part in generating offspring. In order to balance the energy consumption and ergonomic risk while minimising the makespan, a double-low decoding algorithm is proposed, which is composed of two decoding algorithms. Cross-generation selection is employed with the non-dominated sorting, and the next-generation population is selected according to the reference point-based selection strategy. In addition, a restart strategy is also integrated to improve the exploration and exploitation performance of the SDG-NSGA-III algorithm. Finally, a group of experiments are carried out and the results prove the effectiveness of the proposed algorithm. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Calculate the Survival Duration Of All Individuals And Thementioning

confidence: 99%

A survival duration‐guided NSGA‐III for sustainable flexible job shop scheduling problem considering dual resources

2021

IET Collab Intel Manufact

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“…By proposing a new multi-objective robust optimization for a factory microgrid, the approach can be considered risk-based, as it considers the conditional value-at-risk. Coca et al [21] illustrate the simultaneous evaluation of sustainability dimensions, containing environmen-tal and occupational risks with an industrial case from the metal-mechanic sector. Energy flexibility in production systems is specifically considered in the work of Simon et al [22].…”

Section: Risk Management and Energy-oriented Ppcmentioning

confidence: 99%

Risk Treatment for Energy-Oriented Production Plans through the Selection, Classification, and Integration of Suitable Measures

et al. 2022

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With rising electricity prices, industries are trying to exploit opportunities to reduce electricity costs. Adapting to fluctuating energy prices offers the possibility to save electricity costs without reducing the performance of the production system. Production planning and control play key roles in the implementation of the adjustments. By taking into account the price forecasts for the electricity markets in addition to machine utilization, work in process, and throughput time, an energy-oriented production plan is set up. The electrical energy is procured based on this plan and the associated load profile. Deviations from the forecast and the purchased amount of electricity lead to high penalties, as they can destabilize the energy system. For manufacturing companies, this means that machine failures and other unexpected events must be dealt with in a structured manner to avoid these penalty costs. This paper presents an approach to selecting, classifying, and integrating suitable measures from existing risk treatment paths into the production schedule. The selection of measures is based on a hybrid multi-criteria decision-making method in which the three relevant criteria, namely, cost, energy flexibility, and risk reduction, are weighted by applying both an analytic hierarchy process and entropy, and they are then prioritized according to multi-attribute utility theory. In the following, the subdivision into preventive and reactive measures is made in order to choose between the modification of the original plan or the creation of backup plans. With the help of mathematical optimization, the measures are integrated into the production schedule by minimizing the cost of balancing energy. The approach was implemented in MATLAB® and validated using a case study in the foundry industry.

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“…In a job shop scheduling environment, Ref. [186] considered different energy sources with sourcespecific emission factors and presented a multi-objective optimization approach that aimed to minimize energy-related emissions among other conflicting economic, environmental, and social objectives.…”

Section: Multiple Energy Sourcesmentioning

confidence: 99%

Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme

2021

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Scarcity of resources, structural change during the further development of renewable energy sources, and their corresponding costs, such as increasing resource costs or penalties due to dirty production, lead industrial firms to adapt ecological actions. In this regard, research on energy utilization in production planning has received increased attention in the last years, resulting in a large number of research articles so far. With the paper at hand, we review the literature on energy-oriented production planning. The aim of this study is to derive similar core issues and related properties along energy-oriented models within hierarchical production planning. For this, we carry out a systematic literature review and analyze and synthesize 375 research articles. We classify the underlying literature with a novel two-dimensional classification scheme and identify three key topics and five frequently found characteristics, which are presented in detail throughout this article. Based on these results, we state several potentials for further research.

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Sustainable evaluation of environmental and occupational risks scheduling flexible job shop manufacturing systems

Cited by 38 publications

References 51 publications

A survival duration‐guided NSGA‐III for sustainable flexible job shop scheduling problem considering dual resources

A survival duration‐guided NSGA‐III for sustainable flexible job shop scheduling problem considering dual resources

Risk Treatment for Energy-Oriented Production Plans through the Selection, Classification, and Integration of Suitable Measures

Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme

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