Challenges and future perspectives for the life cycle of manufacturing networks in the mass customisation era

Mourtzis, Dimitris

doi:10.1007/s12159-015-0129-0

Cited by 87 publications

(26 citation statements)

References 126 publications

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“…This model required an evolution management while the operational levels become a huge challenge (Mourtzis, 2016). Terms of Big Data cannot be denied in Industry 4.0 where the only effective solution to manage and control the complexity and disturbances is by adapting the manufacturing networks (Mourtzis, Doukas, & Psarommatis, 2015).…”

Section: Manufacturing In the Futurementioning

confidence: 99%

Time Response Study for Communication in Product Lifecycle Management

Norazlin

Hashim

Fauadi

et al. 2019

Int. J. Eng. Sci. Tech

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The evolvement of Internet of thing (IoT) is undeniable by making the management process become more ease at lowest cost as possible. Product lifecycle management (PLM) is a best approach to be embedded the IoT for the entire manufacturing processes. Real cases reported for weak PLM implemented like late market entry faced by A380 while Toyota faced cost loses in repair, deals and market share from massive called made which effect on company reputations. In this paper, traceability becomes a factor among man, machine and management in order to make fast respond on the data retrieved. The term traceability is measured based on response time in real time system to track the information in just in time for one-to-one communication through JAVA programming and two different operating systems as an approach. The communication can be occurred in less than 20seconds within two different machines. The traceability time is a performance measure for just in time data process which the human behavior factor is neglected for this study. The fastest time response have a potential to optimize the manufacturing management, make more efficient and offer the traceability on product/project status beside improve the flexibility, maintainability, reusability as well as extensibility.

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Section: Manufacturing In the Futurementioning

confidence: 99%

Time Response Study for Communication in Product Lifecycle Management

Norazlin

Hashim

Fauadi

et al. 2019

Int. J. Eng. Sci. Tech

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“…Firstclass service as the basis of competitive advantage considered J. Tschohl [12]. Some researchers, such as D. Mourtzis, considering the current trend of individualization of logistics services in the production [13]. There was a separate area -"clientoriented service" [14].…”

Section: Relevance: Scientific Significance Of the Issue With A Briefmentioning

confidence: 99%

The management level of logistics customer service industrial enterprise

2017

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Abstract. This article deals with some aspects of the logistics service of industrial enterprise customers, current approaches to its management, namely, measurement, evaluation and optimization. It describes the effect of the level of customer service in the business results. How the concept of "logistics service users" is formulated. The author's index of evaluating the effectiveness of the logistics customer service -"logistics leverage". Author's universal measurement system of the logistics maintenance level, serving industrial enterprise customers is presented, including 11 indicators criteria values and integral indicator. The optimal values of parameters can be different for different categories of customers who prefer low, medium and high level of logistics services. It substantiates the practical significance of the study through tested at Chelyabinsk Electrode Plant.

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“…This model required an evolution management while the operational levels become a huge challenge [15]. Terms of Big Data cannot be denied in Industry 4.0 where the only effective solution to manage and control the complexity and disturbances is by adapting the manufacturing networks [16].…”

Section: Industry 40mentioning

confidence: 99%

Rapid Time Response: A solution for Manufacturing Issue

et al. 2017

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Abstract.Respond time in manufacturing give the major impact that able to contribute too many manufacturing issues. Based on two worst case scenario occurred where Toyota in 2009 made a massive vehicles call due to car complexity of 11 major models and over 9 million vehicles. The recalls cost at least $2 billion in cost of repair, lost deals and result in lost 5% of its market share in United State of America, while A380 was reported on missing target in new production and leads to delayed market entry due to their weak product life cycle management (PLM). These cases give a sign to all industries to possess and optimize the facilities for better traceability in shortest time period. In Industry 4.0, the traceability and time respond become the factors for high performance manufacturing and rapid time respond able to expedite the traceability process and strengthen the communication level between man, machine and management. The round trip time (RTT) experiment gives variant time respond between two difference operating system for intra and inter-platform signal. If this rapid time respond is adopted in any manufacturing process, the delay in traceability on every issue that lead to losses can be successfully avoided.

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Challenges and future perspectives for the life cycle of manufacturing networks in the mass customisation era

Cited by 87 publications

References 126 publications

Time Response Study for Communication in Product Lifecycle Management

Time Response Study for Communication in Product Lifecycle Management

The management level of logistics customer service industrial enterprise

Rapid Time Response: A solution for Manufacturing Issue

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