Methodology for the visualization, analysis and assessment of information processes in manufacturing companies

Molenda, Paul; Jugenheimer, Andreas; Haefner, Christopher; Oechsle, Oliver; Karat, Rahul

doi:10.1016/j.procir.2019.04.291

Cited by 14 publications

(12 citation statements)

References 4 publications

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“…Through the addition of pictograms, the extended VSM 4.0 improves the identification of physical, information, and data flows (Busert and Fay, 2019). The VAAIP method, on the other hand, defines three indicators of process maturity (Molenda et al, 2019). In addition to VSM 4.0, we note the concept of Sustainable Value Stream Mapping (SVSM), which incorporates environmental and social notions into VSM (Phuong and Guidat, 2018).…”

Section: Vsm Standardmentioning

confidence: 99%

GRMI4.0: a guide for representing and modeling Industry 4.0 business processes

Mosser

Pellerin²,

Bourgault³

et al. 2022

BPMJ

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PurposeThe purpose of this paper is to propose a new business process representation adapted to the needs of Industry 4.0 to facilitate the implementation of technological solutions in the construction sector.Design/methodology/approachThis work is based on the Design Research Methodology approach and includes four phases: (1) a literature review on the main business process modeling standards and their ability to take into account the specificities of Industry 4.0; (2) the identification of the attributes to be considered to model Industry 4.0 processes; (3) the development of a mapping model for Industry 4.0; and (4) the validation of the model using a case study from the construction sector.FindingsTo the authors’ knowledge, current business process modeling standards do not effectively represent business processes in the context of Industry 4.0.Originality/valueThe proposed model can represent not only the 4.0 solutions that can be implemented in the construction sector, particularly from a technology and data perspective but also measures, with the help of performance indicators, the impacts of successive process changes in terms of skills, cost and time for a true 4.0 transformation.

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Section: Vsm Standardmentioning

confidence: 99%

GRMI4.0: a guide for representing and modeling Industry 4.0 business processes

Mosser

Pellerin²,

Bourgault³

et al. 2022

BPMJ

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“…If production data are related to consumer behavior, enterprises can dynamically answer to changing market demand [13,14], increasing capability to adapt quickly to products with shorter cycles [2,14]. Communication, flexibility, real-time, and decentralized decision-making represent the most popular key terms related to I4.0 [8,15]. The I4.0 paradigm is strongly techno-centric with cyber-physical systems (CPSs) [16], incorporating intelligent machines, storage systems, and production mechanisms with power to swap information autonomously, whilst promoting actions to adapt to mutable contexts [8,17,18].…”

Section: Industry 40mentioning

confidence: 99%

“…Additionally, Big Data collected by the real-time tracking of SVSM can be used for forecasting reasons, possibly preventing waste in resources consumption and any damage to workers. Molenda et al [15], inspired from value stream mapping 4.0, suggested a new methodology for the visualization, analysis, and assessment of information processes in manufacturing companies-The VAAIP mapping. For the visualization, quantitative measurements and a qualitative analysis were carried out.…”

Section: Rq4: How Are the Papers Distributed In The Geographical Context?mentioning

confidence: 99%

Stories Told by Publications about the Relationship between Industry 4.0 and Lean: Systematic Literature Review and Future Research Agenda

Salvadorinho

Teixeira

2021

Publications

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Industry 4.0 and its application in the business has been the focus of attention by the academy, for its ability to establish principles of flexibility and connectivity along the shop floor. Meantime, because of a lean wave in the 1990’s, most of the western industry adopted principles, techniques and tools of lean production, whose results were quickly captured, guaranteed its adoption worldwide. Thus, with a view to turning traditional manufacturing companies into smart companies, it is essential to preserve the existing system and find ways for the two concepts (Lean and I4.0) to come together. This study was conducted based on a systematic literature review, using the Scopus database. The PRISMA process was the method used to select the articles. Finally, to analyze and discuss the results, the bibliometric analysis of the articles and content analysis were adopted. The results point to a greater impact of I4.0 technologies on lean, since it was perceived that I4.0 technologies give to lean tools a more dynamic way of working, accelerating information sharing processes and improving production manager’s and operator’s decision making. In the perspective of lean’s contribution to I4.0; however, there is little practical and theoretical application, thus the actual contribution is still somewhat blurred.

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“…-Organizasyon genelinde uzmanlıklardan yararlanma, -İç ve dış paydaşlar arasında bilgi ağını geliştirmek, Şekil 5. İşletmelerde Görselleştirilmiş Değer Akışı[15] Global şirketlerde bilgi akışı Şekil 5'te olduğu gibi hammaddenin tedarikçi firmadan tedarik edilmesi ile başlar, organizasyon içi süreç zinciri (kalite, lojistik, üretim vb.) ile bütünleşir ve son ürünün müşteriye ulaşması ile tamamlanır.…”

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“…Örneğin, bir işletmede soyut olarak oluşan yeni ürün bilgisi son aşamada müşteriye ulaşan somut ürün ile taşınmaktadır. Aynı zamanda organizasyonda geçmişte müşteriye ulaşan somut ürün bilgisi yeni ürün geliştirme sürecinde organizasyon için bilgi kaynağı olabilmektedir[15]. Bilgi akışı için belirlenmiş 3 unsur bulunmaktadır.…”

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PLM Kullanimi İle Ürün Geli̇şti̇rme Süreci̇nde Etki̇n Bi̇lgi̇ Akişinin Sağlanmasi

Sari

Sayer

2021

Mühendis Ve Makina

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Bilgi sınırları olmayan bir kavramdır. Günümüzde teknolojinin hızlı ilerleyişi ile sürekli değişmekte ve gelişmektedir. Herhangi bir bilginin yorumlanması ile meydana gelen bilgi ise anlamlı bilgidir ve bilginin en gelişmiş halidir. Anlamlı bilgi içerisinde kişisel tecrübe ve deneyimleri de barındırmaktadır. Günümüzde artan rekabet koşulları ile iş organizasyonları için çevrelerinde meydana gelen değişikliklere hızlı adapte olma, yeni ürün geliştirme ve geliştirilen yeni ürünü rakiplerinden önce piyasaya sürerek pazarda yer edinebilmeleri iş devamlılığının sağlanması için gereklidir. Değişime kolay uyum sağlamak ise değişen bilgiye kolay ulaşmak ve bu bilgiyi özümsemek ile mümkün olabilmektedir. Bu bilgi aktarımı sırasında geçmişte var olan anlamlı bilgilerin kaybolmaması iş organizasyonları için fırsatlar meydana getirmektedir. Bu çalışmada; öncelikle bilgi ve bilgi yönetimi kavramları, bu kavramlara ilişkin yapılan çalışmalar ve yaklaşımlar incelenmiştir. Daha sonra şirketlerde meydana gelen bilgi akışı ve bu bilgi akışının yeni ürün geliştirme sürecine etkisine değinilmiştir. Çalışmanın son bölümünde ise Ürün Yaşam Döngüsü Yönetimi (Product Lifecycle Management, PLM) kullanımı ile bilgi yönetiminin ürün geliştirme sürecindeki etkisi ve şirketlere sağladığı avantajlar değerlendirilmiştir.

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Methodology for the visualization, analysis and assessment of information processes in manufacturing companies

Cited by 14 publications

References 4 publications

GRMI4.0: a guide for representing and modeling Industry 4.0 business processes

GRMI4.0: a guide for representing and modeling Industry 4.0 business processes

Stories Told by Publications about the Relationship between Industry 4.0 and Lean: Systematic Literature Review and Future Research Agenda

PLM Kullanimi İle Ürün Geli̇şti̇rme Süreci̇nde Etki̇n Bi̇lgi̇ Akişinin Sağlanmasi

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