Advanced manufacturing systems: socialization characteristics and trends

Tao, Fei; Cheng, Ying; Zhang, Linlin; Nee, A. Y. C.

doi:10.1007/s10845-015-1042-8

Cited by 271 publications

(119 citation statements)

References 95 publications

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“…Because of manufacturing's broad scope, it attracts a multitude of developments and innovations, including advanced technologies that seek to add a benefit or to improve a process. Some advanced technologies consider green and lean practices, risk assessment, societal perspectives and so on [1][2][3][4]. Surprisingly, however, according to a report published by Infosys [5], whereas 85% of advanced manufacturing techniques receive global acceptance, only 15% of organizations end up adopting those advanced processes.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Shankar

Kumar²,

Kannan

2016

Sustainability

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A number of current manufacturing sectors are striving hard to introduce innovative long-term strategies into their operations. As a result, many scholarly studies have found it fruitful to investigate advanced manufacturing strategies such as agile, computer-integrated, and cellular manufacturing. Through the example of downstream cases, manufacturing sectors have learned that financial benefits garnered through automated technologies cannot be counted on as a sole measure to ensure their success in today's competitive and fluctuating marketplaces. The objective of this study is to integrate those advanced techniques with sustainable operations, to promote advanced sustainable manufacturing so those manufacturing sectors can thrive even in uncertain markets. To establish this connection, this study analyzes the drivers of advanced sustainable manufacturing through a proposed framework validated through a case study in India. Common drivers are collected from the literature, calibrated with opinions from experts, and analyzed through an analytical hierarchy process (AHP), which is a multi-criteria decision making (MCDM) approach. This study reveals that quality is the primary driver that pressures manufacturing sectors to adopt advanced sustainable manufacturing. Manufacturers can easily note the top ranked driver and adopt it to soundly implement advanced sustainable manufacturing. In addition, some key future scopes are explored along with possible recommendations for effective implementation of advanced sustainable manufacturing systems.

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Section: Introductionmentioning

confidence: 99%

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Shankar

Kumar²,

Kannan

2016

Sustainability

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“…Under the environment and trend of servitization in manufacturing [4], service requires intelligent management with much more collaboration and cooperation. Thus, manufacturing grid (MGrid), service-oriented manufacturing (SOM), cloud manufacturing (CMfg) and other AMSs are presented successively.…”

Section: Servicesmentioning

confidence: 99%

Complex networks in advanced manufacturing systems

Tao

Cheng

et al. 2017

Journal of Manufacturing Systems

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“…More precisely, a device adapter is a piece of code containing the logic to connect to a device, extract the sensor data from the serial interface, activate actuators, and provision sensor data, in our approach, to the RMP. The provisioning of sensor data is usually conducted by the protocol HTTP or the lightweight queuing protocol MQTT 3 . We assume that a corresponding device adapter is provided in the Device Adapter Repository suitable for each device represented in the ontology.…”

Section: Automated Provisioning and Configuration Of Devicesmentioning

confidence: 99%

“…Through the integration of raw sensor data, high-level information can be derived that leads to huge benefits, e.g., in advanced manufacturing [3], smart homes [4], or smart cities [1]. Additionally, the integration of…”

Section: Introductionmentioning

confidence: 99%

Automating the Provisioning and Configuration of Devices in the Internet of Things

Hirmer

Breitenbücher

Silva

et al. 2016

CSIMQ

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Abstract. The Internet of Things benefits from an increasing number of interconnected technical devices. This has led to the existence of so-called smart environments, which encompass one or more devices sensing, acting, and automatically performing different tasks to enable their self-organization. Smart environments are divided into two parts: the physical environment and its digital representation, oftentimes referred to as digital twin. However, the automated binding and monitoring of devices of smart environments are still major issues. In this article we present a method and system architecture to cope with these challenges by enabling (i) easy modeling of sensors, actuators, devices, and their attributes, (ii) dynamic device binding based on their type, (iii) the access to devices using different paradigms, and (iv) the monitoring of smart environments in regard to failures or changes. We furthermore provide a prototypical implementation of the introduced approach.

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Advanced manufacturing systems: socialization characteristics and trends

Cited by 271 publications

References 95 publications

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Complex networks in advanced manufacturing systems

Automating the Provisioning and Configuration of Devices in the Internet of Things

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