A simulation-optimization approach for adaptive manufacturing capacity planning in small and medium-sized enterprises

Teerasoponpong, Siravat; Sopadang, Apichat

doi:10.1016/j.eswa.2020.114451

Cited by 35 publications

(25 citation statements)

References 39 publications

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“…For SMEs, literature shows that they are financially limited, constituting an obstacle to their growth [4, 8-10, 12, 13]. Lacks financial resources also prevent SMEs from adopting mechanisms to collect large amounts of data and prevent them from hiring qualified personnel with the necessary knowledge to process and use this data [9].…”

Section: Financial Resources (Fr)mentioning

confidence: 99%

“…According to the literature, the main requirements and challenges faced by SMEs, that limit them from adopting new technologies, including DES, can be grouped into four clusters (financial resources, data collection, knowledge, and application complexity). Several authors that carried out studies on SMEs sought to bring new techniques to these companies and stated that these techniques need to consider the characteristics and limitations of SMEs so that they can benefit more [4,5,[9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Facilitated Discrete Event Simulation for Industrial Processes: a Critical Analysis

Oliveira¹,

Leal²,

Pereira³

et al. 2022

Int. j. simul. model.

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Discrete Event Simulation (DES) is one of the most important simulation techniques in decision-making in several areas. Some authors state that small and large companies can benefit significantly through the utilisation of DES. Literature shows that most DES studies carried out are at large companies. Studies carried out at small and medium-sized enterprises (SMEs) have been mostly explored on a one-off, caseby-case basis, given the characteristics and limitations of smaller companies. In order to expand DES studies in a wide range of companies, this article seeks to consider the SME characteristics and limitations prevent them from broadly adopting traditional ("hard") DES. Then an alternative application of DES in "soft" mode was proposed. A review of facilitated DES frameworks was carried out. The frameworks were critically analysed in this review in relation to their adequacy to specific SME requirements and similar contexts. Finally, some issues and characteristics of these frameworks are presented that make directly applying in these contexts difficult. Furthermore, some suggestions are proposed for developing future facilitated DES frameworks.

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Section: Financial Resources (Fr)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Facilitated Discrete Event Simulation for Industrial Processes: a Critical Analysis

Oliveira¹,

Leal²,

Pereira³

et al. 2022

Int. j. simul. model.

View full text Add to dashboard Cite

show abstract

“…Although the supervision of the whole production process under the intelligent manufacturing production mode has the potential to provide certain data and information for the implementation of the activity-based costing method, the following profound changes in the cost drivers (such as the direct labor cost approaches zero and the proportion of energy consumption and data increases gradually) still pose challenges to the efficiency and flexibility of the activity-based costing system [ 16 , 17 ]. Consequently, it could not meet the requirements of flexible production for management adaptability.…”

Section: Literature Reviewmentioning

confidence: 99%

A Variable-Scale Data Analysis-Based Identification Method for Key Cost Center in Intelligent Manufacturing

Wang

Gao

2022

Computational Intelligence and Neuroscience

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Although the competitive advantages brought by intelligent manufacturing technology for enterprises have been preliminarily shown, a lack of matched management capacity still greatly limits its effect. This paper focuses on the cost management capacity problem of intelligent manufacturing enterprises. The multiscale cost data model is established on the basis of the three-dimensional cost system model, which contains actual cost, standard cost, and testing cost. According to the scale transformation theory, we propose the dynamic updating mechanism of standard cost. The key cost center identification methods, respectively, for the production performance assessment scenario (KCCI_PPA) and the business decision-making scenario (KCCI_BDM) are also put forward, which could overcome the subjective determination limitation of initial observation scale in the traditional variable-scale data analysis method. Experiments with both industrial statistical and enterprise real datasets verify the efficiency and accuracy of the proposed KCCI_PPA and KCCI_BDM method.

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“…They identified the same set of technologies. In their view, the components of the fourth industrial revolution cover nine areas: Industrial Internet of Things [11][12][13], Cybersecurity [14][15][16], Autonomous robots [17], Additive Manufacturing [18,19], Optimization & Simulation [20,21], Horizontal and Vertical System Integration [22,23], Cloud Computing [24,25], Big Data Analysis [26,27] and Augmented Reality [28,29]. Each of the above nine Industry 4.0 areas can contribute to sustainable manufacturing.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid MCDM Model Combining DANP and PROMETHEE II Methods for the Assessment of Cybersecurity in Industry 4.0

Torbacki

2021

Sustainability

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IT technologies related to Industry 4.0 facilitate the implementation of the framework for sustainable manufacturing. At the same time, Industry 4.0 integrates IT processes and systems of production companies with IT solutions of cooperating companies that support a complete manufactured product life cycle. Thus, the implementation of sustainable manufacturing implies a rapid increase in interfaces between IT solutions of cooperating companies. This, in turn, raises concerns about security among manufacturing company executives. The lack of a recognized methodology supporting the decision-making process of choosing the right methods and means of cybersecurity is, in effect, a significant barrier to the development of sustainable manufacturing. As a result, the propagation of technologies in Industry 4.0 and the implementation of the sustainable manufacturing framework in companies are slowing down significantly. The main novelty of this article, addressing the above deficiencies, is the creation, using the combined DEMATEL and ANP (DANP) and PROMETHEE II methods, of a ranking of the proposed three groups of measures, seven dimensions and twenty criteria to be implemented in companies to ensure cybersecurity in Industry 4.0 and facilitate the implementation of the sustainable production principles. The contribution of Industry 4.0 components and the proposed cybersecurity scheme to achieve the Sustainable Development goals, reducing the carbon footprint of companies and introducing circular economy elements was also indicated. Using DANP and PROMETHEE II, it can be concluded that: (i) the major criterion of cybersecurity in companies is validation and maintaining electronic signatures and seals; (ii) the most crucial area of cybersecurity is network security; (iii) the most significant group of measures in this regard are technological measures.

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A simulation-optimization approach for adaptive manufacturing capacity planning in small and medium-sized enterprises

Cited by 35 publications

References 39 publications

Facilitated Discrete Event Simulation for Industrial Processes: a Critical Analysis

Facilitated Discrete Event Simulation for Industrial Processes: a Critical Analysis

A Variable-Scale Data Analysis-Based Identification Method for Key Cost Center in Intelligent Manufacturing

A Hybrid MCDM Model Combining DANP and PROMETHEE II Methods for the Assessment of Cybersecurity in Industry 4.0

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