Assessment of reconfiguration schemes for Reconfigurable Manufacturing Systems based on resources and lead time

Puik, Erik; Telgen, Daniël; Moergestel, Leo van; Ceglarek, Darek

doi:10.1016/j.rcim.2015.12.011

Cited by 47 publications

(24 citation statements)

References 20 publications

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“…( Table 2 here) According to Table 2, compared to others characteristics, modularity, integrability, convertibility and scalability reduce both reconfiguration time and cost. Puik et al (2016) proved that modularity can reduce reconfiguration time and cost: thanks to the presence of known and tested modular parts (of a manufacturing system), the required reconfiguration time and resources are reduced. Indeed, they presupposed the integrability of these modules, in order to really benefit of modularity.…”

Section: Why Are Reconfigurability Characteristics Relevant?mentioning

confidence: 99%

“…modularity requires integrability). For Puik et al (2016) who, more specifically, refer to reconfigurable systems. Indeed, Zhang et al (2015) confirms that something more than technical aspects is needed, stressing the necessity to communicate and to manage activities.…”

Section: How Are the Six Core Characteristics Exploited?mentioning

confidence: 99%

“…Other authors pointed out that modularity influences scalability (Deif and ElMaraghy, 2007a;Wang and Koren, 2012). Puik et al (2016) clearly showed how part modules are the 'basis' for scalability and convertibility: they explained that reconfigurability implies the presence of modules that could be either repeated, or adapted (than converted), or expanded (then scaled) in order to reconfigure the system.…”

Section: How Are the Six Core Characteristics Exploited?mentioning

confidence: 99%

See 2 more Smart Citations

A framework to manage reconfigurability in manufacturing

Napoleone

Pozzetti

Macchi

2018

International Journal of Production Research

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Nowadays, manufacturing firms are dealing with the unpredictability of market requirements and the frequent changes induced by technological innovation. For this reason, firms are more and more addressing the need to be responsive at an affordable cost. To do so, they are required to develop a capability called reconfigurability. This paper is a review of the existing literature because the current need makes interesting to reflect on the state of the art of reconfigurability as a concept. This reflection has led to focus on reconfigurability characteristics for both their relevance and their relationships with managerial decisions in manufacturing. To this end, a framework has been proposed. It is based on system lifecycle and production levels. These two elements have been deduced from literature and identified as relevant dimensions for decision making.

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Section: Why Are Reconfigurability Characteristics Relevant?mentioning

confidence: 99%

Section: How Are the Six Core Characteristics Exploited?mentioning

confidence: 99%

Section: How Are the Six Core Characteristics Exploited?mentioning

confidence: 99%

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A framework to manage reconfigurability in manufacturing

Napoleone

Pozzetti

Macchi

2018

International Journal of Production Research

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“…Several possible RMS configurations can exist depending on the number of machine tools within the system. Therefore, the evaluation and selection of an alternative configuration is a topic of intense research and exhibits a valuable addition to the flourishing subject of literature on RCMS [45]. The selection process for various alternatives comprises the evaluation of different criteria or attributes.…”

Section: Literature Surveymentioning

confidence: 99%

Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing

et al. 2019

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The manifestation of new part designs and continuously changing market demands as well as the requirements of new functions and technologies often results in higher material cost, lesser machine utilization, and extensive wastage of energy. As a consequence, companies across the world are striving for sustainable manufacturing, which can ensure flexibility as well as adaptability, with higher productivity and lesser wastage of resources. The dynamic and competitive nature of the world market emphasizes the importance of economically sustainable setups, such as reconfigurable cellular manufacturing systems (RCMSs). Indeed, among several cutting-edge strategies, the RCMS is the most prominent owing to its versatility, rationality, and resilience. However, one of the limitations associated with RCMS is the evaluation and selection of the best configuration that can meet abrupt changes and achieve manufacturing sustainability. Therefore, organizations intending to reconfigure have to address the issue of evaluating all possible alternatives and selecting the best one using a well-defined methodology. This paper focuses on evaluating and finding the best configuration using multi-criteria decision-making (MCDM) approaches depending on PROMETHEE and VIKOR. The fuzzy analytic hierarchy process (FAHP) is utilized to compute the weights of various criteria because it also considers any uncertainty and vagueness existing in the problem. The assessing attributes in this study are selected by keeping in mind the objective of sustainable manufacturing. The two MCDM methods are utilized for ranking different configurations to ascertain the results obtained from the other. The study accomplished in this paper is related to manufacturing setups that need to be reconfigured. The number of manufacturing configurations is determined, and simulation models are established for each configuration. The simulation outcomes are examined using the FAHP-PROMETHEE and FAHP-VIKOR to assess the appropriateness of each configuration depending on the identified performance measures. The results of the experiments show the importance of employing MCDM in RCMS to achieve sustainable manufacturing and determining the most effective setup.

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“…Puik et al [6], propose a helpful method for implementing redesign for RMS once a product change has been initiated. This is founded on Axiomatic Design MATEC Web of Conferences 223, 01006 (2018) https://doi.org/10.1051/matecconf/201822301006 ICAD 2018 (AD) and offers clarity on project progression during design conception.…”

Section: Stronger Lighter Materialsmentioning

confidence: 99%

Exploring and Adapt! – Extending the Adapt! Method to Develop Reconfigurable Manufacturing Systems

et al. 2018

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Automotive production is faced with the challenge of bringing new products to market faster, with decreasing turn-around times, meaning production must be continually changing to accommodate new products. This paper proposes an approach to decrease a product’s time-to-market, by increasing the efficiency of automotive assembly unit design. Providing designers with conceptual information about future vehicle models early in the product design process, could shift the design start forward and enable a more efficient transition process. Large automotive companies work on vehicle design and development for years before a product is ready for production. If during these earlier stages of product design, significant changes are identified and communicated to production designers, the manufacturing system design can get a jump start with an early exploration phase. A method exists, which uses the Axiomatic Design theory to develop Reconfigurable Manufacturing Systems through a modular breakdown. A similar method Adapt! employs Axiomatic Design and Scrum to develop changeable or adaptable production systems. This paper proposes to extend the Adapt! method to include an exploration phase, which through early communication, provides an overview of the required design process, and enables faster identification of the critical design challenges. A case study is performed by analysing a currently produced vehicle and its future electric version.

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Assessment of reconfiguration schemes for Reconfigurable Manufacturing Systems based on resources and lead time

Cited by 47 publications

References 20 publications

A framework to manage reconfigurability in manufacturing

A framework to manage reconfigurability in manufacturing

Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing

Exploring and Adapt! – Extending the Adapt! Method to Develop Reconfigurable Manufacturing Systems

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