Evolutional reactive scheduling for agile manufacturing systems

Tanimizu, Yoshitaka; Sakaguchi, Tatsuhiko; Iwamura, Koji; Sugimura, Nobuhiro

doi:10.1080/00207540600791632

Cited by 33 publications

(12 citation statements)

References 4 publications

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“…The manufacturing era started with craft era, followed by the emergence of mass manufacturing era, then lean era. The increasing product complexity and market dynamism has forced the emergence of Agile Manufacturing (AM) era (Tanimizu et al, 2006). AM enables an organisation to survive in the competitive environment of continuous and unanticipated changes to respond quickly to customers' dynamic demands (Vinodh et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Improvement of agility and sustainability: A case study in an Indian rotary switches manufacturing organisation

Vinodh

2010

Journal of Cleaner Production

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Section: Introductionmentioning

confidence: 99%

Improvement of agility and sustainability: A case study in an Indian rotary switches manufacturing organisation

Vinodh

2010

Journal of Cleaner Production

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“…Our previous researches proposed a GA based reactive scheduling method to improve disturbed initial production schedules (1)- (2) . The GA is a probabilistic search technique based on the evolution mechanism (3) .…”

Section: Reactive Scheduling Methods Using Genetic Algorithmsmentioning

confidence: 99%

“…The objective of our research is to propose a new reactive scheduling method to improve the disturbed production schedules. Previous researches provided a reactive scheduling method using a genetic algorithm (GA), which continuously creates new feasible production schedules by changing loading sequences of jobs on each resource, until a new production schedule can satisfy the given constraint on the make-span or all the manufacturing processes have already started (1)- (2) .…”

Section: Introductionmentioning

confidence: 99%

Co-evolutionary Genetic Algorithms for Reactive Scheduling

Tanimizu

Komatsu

Ozawa

et al. 2010

JAMDSM

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Previous researches provided a reactive scheduling method using a genetic algorithm to improve disturbed production schedules, due to unexpected disruptions, such as delays of manufacturing operations. This paper deals with an extension of the reactive scheduling method to modify not only the loading sequences but also machining sequences of jobs by using a co-evolutionary genetic algorithm. Two different kinds of individuals for the loading sequences and the machining sequences are generated and improved in co-evolutionary processes. A prototype of new reactive scheduling system was developed, and the effectiveness of the proposed method was verified through computational experiments.

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“…Changes of environment make SMEs analyze, build, and reconfigure their resources and organizational capabilities in order to achieve flexibility and agility from the perspective of sustainability. The increasing product complexity and market dynamism has forced the emergence of flexible and agile manufacturing [2]. Flexible and agile manufacturing enables a firm to survive in the competitive environment of continuous and unpredictable changes to respond quickly to customers' dynamic demands [3].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on the Manufacturing Firm’s Strategic Choice for Sustainability in SMEs

Suh

Lee

2018

Sustainability

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Abstract:To survive in the current competitive, unpredictable business environment, it is significant for firms to search and enforce capabilities that lead them to adapt and cope with dynamic changes of environment for their sustainability. We try to connect operation issues with sustainability in this paper. From the perspective of the dynamic capabilities of the firm, this study suggests a conceptual model that presents relationships among supply chain visibility, modular design, supply chain flexibility, and agility. We do not focus on the module buyer but on the small and middle-sized enterprises (SMEs). An empirical study is performed to verify the relationships proposed, using datasets collected from 232 manufacturing SMEs as module suppliers in South Korea. We used SPSS to analyze data and structural equation modeling to verify the hypotheses of the research model. The important contributions of this study are as follows. Firstly, we suggest relationships among supply chain visibilities and a modular design for supply chain flexibility and agility in sustainable performance. Secondly, we show that supply chain visibility directly leads firms to implement modular design in sustainable development. Thirdly, we verify the importance of supply chain visibility, not for module buyers, but for module suppliers by switching views in terms of SMEs' sustainability. Lastly, this study shows that the suppliers' modular design affects supply chain flexibility and agility, which is consistent with the findings presented in the literature.

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Evolutional reactive scheduling for agile manufacturing systems

Cited by 33 publications

References 4 publications

Improvement of agility and sustainability: A case study in an Indian rotary switches manufacturing organisation

Improvement of agility and sustainability: A case study in an Indian rotary switches manufacturing organisation

Co-evolutionary Genetic Algorithms for Reactive Scheduling

An Empirical Study on the Manufacturing Firm’s Strategic Choice for Sustainability in SMEs

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