Managing complexity of assembly with modularity: a cost and benefit analysis

Shoval, Shraga; Efatmaneshnik, Mahmoud

doi:10.1007/s00170-019-03802-2

Cited by 13 publications

(4 citation statements)

References 19 publications

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“…The tolerance behavior in prefabrication can be predicted with Monte Carlo tolerance simulation. Thus, concerned individuals analyze alternatives and handle the rework risks (Rausch et al, 2019, Enshassi et al, 2019Shoval and Efatmaneshnik., 2019;Shahtaheri et al, 2017). A generic risk management framework identifies risk factors ranked according to the highest impact on cost and schedule risks, indicating the required action (Li et al, 2013).…”

Section: Probabilistic Methods and Simulationmentioning

confidence: 99%

Trends and Future Directions of Risk Management Approaches Applied in Modular Construction Projects: Systematic Review and Meta-Analysis

Khodabocus,

Seyis

2024

UUJFE

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In modular construction, given the different undertakings compared to conventional construction, the latter deems less risky. However, the current industry is faced with malpractices which are loopholes disabling full capacity performance. There is a noticeable lack of studies specifically analyzing the risk management approaches. This study aims to vigorously analyze all risk management approaches applied in previous projects by compiling qualitative and quantitative content for the eased risk assessment of modular projects. By performing a systematic literature review and meta-analysis, 175 documents were finalized and manually analyzed. Synthesis of the literature was carried out to generate graphs, illustrations, and tabularized content, followed by critical explanation for relevant risk management approaches identified according to risk category and project criteria. Risk management approaches for modular construction were showcased in terms of yearly trends, geographic involvement, keywords mostly encountered, and universities and institutions involvement. Classified risk management approaches were tabularized alongside a research domain targeting technical risk management approaches. Future work scopes were suggested with percentage initiations from analyzed studies. This study is a fundamental steppingstone in broadening knowledge on risk management approaches of modular construction and will aid both academicians and practitioners to get direct insights on current trends with project-oriented results showcased.

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Section: Probabilistic Methods and Simulationmentioning

confidence: 99%

Trends and Future Directions of Risk Management Approaches Applied in Modular Construction Projects: Systematic Review and Meta-Analysis

Khodabocus,

Seyis

2024

UUJFE

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“…More availability of component expedites the product modularity and vice versa (Shaik et al, 2015;Shoval and Efatmaneshnik, 2019).…”

Section: F8 Component Availabilitymentioning

confidence: 99%

Identification and analysis of the driving factors for product modularity by Interpretive Structural Modelling

Shamsuzzoha

Piya²

2020

BJO&PM

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Goal: The purpose of this study is to identify the driving factors that affects modular product design and development and to determine the contextual relationships between the identified factors. Design / Methodology / Approach: This research study adopted both qualitative and quantitative methodologies. In qualitative part, an extensive literature review is conducted along with interviews with the experts experienced in product design and development in order to identify and sorted out the driving factors for product modularity. In quantitative part, all the identified factors were analyzed through Interpretive Structural Modeling (ISM) method. MICMAC (Matrice d'Impacts Croisés Multiplication Appliquéeáun Classement (cross-impact matrix multiplication applied to classification) analysis is carried out to determine the relative driving and dependency power of the factors. Results: The contribution of this paper is the identification of the factors associated with developing a modular product. Through the use of ISM diagraph, the identified factors were clustered into different layers based on their driving and dependency characteristics. The ISM diagram also presented the relationship between one factor over others and the reason for such relationship. Such a diagram offers decision maker better visibility on the factor that they need to consider or strategy they need to implement to improve their modular product design and development architecture. The results from this research study encompass organizational managers for handling multiple design views, controlling design related interfaces and ranking the status and progress of product modularity and design completeness. Limitations of the investigation: The outcomes from this research may not be generalize sufficiently due to subjectivity of the interviewers. Practical implications: The study outcomes support product designers to optimize their product development processes, especially to develop modular products. The presented methodology can be used extensively used by the product designers/planners/managers to find the driving factors related to modular product design and development.

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“…Shoval and Efatmaneshnik [70] focus on the reliability and precisions that the use of cyber-physical systems such as robotics and automation in assembly processes has introduced. Considering the increasing complexity determined by such a system, a probabilistic process characterization model is proposed for smart assembly planning purposes.…”

Section: Editorial Overview Of This Special Issue Papers and Their Comentioning

confidence: 99%

Design and management of digital manufacturing and assembly systems in the Industry 4.0 era

Cohen

Faccio

Pilati

et al. 2019

Int J Adv Manuf Technol

142

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The advances in Industry 4.0 provide both challenges and opportunities for digital manufacturing and assembly systems. This paper first addresses the state-of-the-art readiness for Industry 4.0 concerning assembly and manufacturing systems through a literature review of the relevant papers recently published. Then it assesses the challenges faced nowadays by assembly and manufacturing systems. Third, it focuses on the most promising future developments and evolution of such production systems as well as their digitalisation. Finally, this manuscript illustrates the content of the papers selected for this special issue. Through the study presented in this special issue, valuable contributions to both theory and application in this area have been achieved, and a useful reference for future research is given.

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Managing complexity of assembly with modularity: a cost and benefit analysis

Cited by 13 publications

References 19 publications

Trends and Future Directions of Risk Management Approaches Applied in Modular Construction Projects: Systematic Review and Meta-Analysis

Trends and Future Directions of Risk Management Approaches Applied in Modular Construction Projects: Systematic Review and Meta-Analysis

Identification and analysis of the driving factors for product modularity by Interpretive Structural Modelling

Design and management of digital manufacturing and assembly systems in the Industry 4.0 era

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