Tacit Knowledge Reuse in a Next Generation Sustainable Manufacturing Process

2015 ◽  
Author(s):  
David A. Guerra-Zubiaga ◽  
Drew Heiling ◽  
Olusola Onadipe ◽  
Rojan-Kumar Katuwal ◽  
Prabin Dhital ◽  
...  
Keyword(s):  
Tacit Knowledge ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Intangible Asset ◽  
Next Generation ◽  
Knowledge Modeling ◽  
Relevant Concept ◽  
Manufacturing Enterprises ◽  
Factory Of The Future

Tacit knowledge is a very important intangible asset at manufacturing enterprises and Next Generation Manufacturing Systems (NGMS) is a relevant concept to understand manufacturing paradigms. Some Manufacturing paradigms are Factory of the future (FoF) in a Sustainable Manufacturing environment. There is a need not only to create approaches to understands the NGMS addressing the FoF to support Sustainable Manufacture, but also to capture the key manufacturing tacit knowledge through this process. This paper presents a novel idea about tacit knowledge modeling and reuse in a sustainable manufacturing application.

scholarly journals A Review of Engineering Research in Sustainable Manufacturing

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Karl R. Haapala ◽  
Fu Zhao ◽  
Jaime Camelio ◽  
John W. Sutherland ◽  
Steven J. Skerlos ◽  
...  
Keyword(s):  
Decision Making ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Supply Chain Design ◽  
Planning And Scheduling ◽  
Engineering Research ◽  
Challenges And Opportunities ◽  
Recent Developments ◽  
Planning Development

Sustainable manufacturing requires simultaneous consideration of economic, environmental, and social implications associated with the production and delivery of goods. Fundamentally, sustainable manufacturing relies on descriptive metrics, advanced decision-making, and public policy for implementation, evaluation, and feedback. In this paper, recent research into concepts, methods, and tools for sustainable manufacturing is explored. At the manufacturing process level, engineering research has addressed issues related to planning, development, analysis, and improvement of processes. At a manufacturing systems level, engineering research has addressed challenges relating to facility operation, production planning and scheduling, and supply chain design. Though economically vital, manufacturing processes and systems have retained the negative image of being inefficient, polluting, and dangerous. Industrial and academic researchers are re-imagining manufacturing as a source of innovation to meet society's future needs by undertaking strategic activities focused on sustainable processes and systems. Despite recent developments in decision making and process- and systems-level research, many challenges and opportunities remain. Several of these challenges relevant to manufacturing process and system research, development, implementation, and education are highlighted.

Digital Tools to Capture Manufacturing Tacit Knowledge to Support Next Generation Automation Systems

2019 ◽  
Author(s):  
David A. Guerra-Zubiaga ◽  
Kathy S. Schwaig ◽  
Sabih Nasir ◽  
Alex Bondar
Keyword(s):  
Tacit Knowledge ◽  
Digital Tools ◽  
Automation System ◽  
Digital Manufacturing ◽  
Next Generation ◽  
Knowledge Modeling ◽  
Digital Twin ◽  
Digital Twins ◽  
Automation Systems ◽  
Manufacturing Knowledge

Abstract In today’s complex environment, it is not only important to handle/control digital manufacturing tools, but also essential to capture tacit knowledge from people. Creating a digital twin, it is an extensive effort including different fields and subjects. For example, creating a physical prototype and connecting it with a virtual prototype. From this, two questions arise. What will be the framework used to create the digital twin and what method will be used to capture the experiences to develop Next Generation Automation System (NGAS). This research explores a new method capturing tacit knowledge creating a digital twin for a NGAS, worked at station level connecting machines and humans implementing knowledge modelling and providing guidance in design for manufacturability at NGAS. The motivation of this research is that capturing tacit knowledge is an important aspect in Industry 4.0. According to literature review, different researchers have been exploring digital twins using digital tools. This research proposal explores the effects of automation in the workplace using Digital Manufacturing Tools (DMT). The proposed approach demonstrates how to capture valuable experiences we can transfer or communicate between the digital twins, increasing productivity to fulfill the need to adopt new and emerging technologies in the workplace. The research will talk about capturing Tacit Knowledge in different forms like experiences, analysis, and intuitions etc and how this type of knowledge is processed by DMT and communicated to the other digital twin. Tacit knowledge modeling and sharing is used by implementing the Internet of Things (IoT) to understand the interaction among humans, instruments, controls, and robots. Understanding tacit manufacturing knowledge types is required to create better digital twins.

The importance of holistic model driven manufacturing systems

1998 ◽  
Vol 212 (1) ◽  
pp. 29-44 ◽  
Author(s):  
R H Weston
Keyword(s):  
Manufacturing Systems ◽  
Next Generation ◽  
Enterprise Integration ◽  
Alternative Futures ◽  
Holistic Model ◽  
Integration Methods ◽  
Model Driven ◽  
Manufacturing Enterprises ◽  
Business Goals ◽  
Integration Mechanisms

The findings of two UK government funded studies are reviewed which have highlighted requirements of next generation manufacturing systems. The studies have (a) generated a view of alternative futures for manufacturing enterprises and (b) identified barriers to their realization. This illustrates an important future role for holistic model driven manufacturing systems, which respond rapidly to competitive forces and sociopolitical economic change while maintaining good alignment between business goals and related processes and operations. The findings help to identify requirements of next generation enterprise integration methods, architectural frameworks, reference models, integration mechanisms and component elements. Based on this requirement definition the capabilities of emerging and proprietary enterprise integration methods and tools have been assessed and classified.

Manufacturing Process Information Models for Sustainable Manufacturing

2014 ◽  
Author(s):  
Lina Valivullah ◽  
Mahesh Mani ◽  
Kevin W. Lyons ◽  
S. K. Gupta
Keyword(s):  
Decision Support ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Manufacturing Processes ◽  
Reference Architecture ◽  
Architecture Model ◽  
Information Models ◽  
Manufacturing Information ◽  
Manufacturing Applications

Sustainable manufacturing systems use processes, methodologies, and technologies that are energy efficient and environmentally friendly. To create and maintain such systems, well-defined measurement methodologies and corresponding manufacturing information models play a crucial role to consistently compute and evaluate sustainability performance indicators of manufacturing processes that will result in reliable decision support. However, when it comes to describing sustainability of product manufacturing, the presently available methods and tools do not account for manufacturing processes explicitly and hence result in inaccurate and ambiguous decisions between alternate systems. Furthermore, there are no formal methods for acquiring and exchanging sustainability-related information that help establish a consolidated sustainability information base for decision support. This paper presents a study on the scope of the currently available manufacturing information models to incorporate sustainability. Identifying the requirements for information models that cater to sustainable manufacturing was done utilizing an earlier developed Systems Integration for Manufacturing Applications (SIMA) reference architecture model. We propose an extension to the SIMA architecture considering sustainability and refer to it as a GreenSIMA architecture. We present injection-molding unit manufacturing process as an example.

Tacit Knowledge Management at the Kenya Institute for Public Policy Research and Analysis

Mousaion ◽  
2019 ◽  
Vol 36 (1) ◽  
Author(s):  
Omwoyo Bosire Onyancha ◽  
Gladys Njeri Mungai ◽  
Henry Nyabuto Kemoni
Keyword(s):  
Public Policy ◽  
Knowledge Sharing ◽  
Tacit Knowledge ◽  
Policy Research ◽  
Primary Data ◽  
Intangible Asset ◽  
Research Approach ◽  
Public Policy Research ◽  
Observation Methods ◽  
Tacit Knowledge Sharing

Tacit knowledge is seen as difficult to be shared in an organisation owing to its intuitive, versatile and practice-based nature. Consequently, tacit knowledge is not well-understood or valued in most organisations and more so in public institutions. The purpose of the study was to investigate how the Kenya Institute for Public Policy Research and Analysis (KIPPRA) manages tacit knowledge as an intangible asset and also to recommend a framework or model for the management of tacit knowledge for a competitive advantage and development at the KIPPRA. The study adopted a qualitative research approach, with interviews and observation methods constituting the primary data collection methods. The study targeted 60 employees of KIPPRA consisting of researchers, young professionals, heads of divisions, a knowledge manager and administrative staff. The qualitative data collected were organised, categorised and reported verbatim. Among the key findings were that KIPPRA has the capacity for tacit knowledge sharing, capture, transfer and storage that have not been capitalised on. Further, employees experience challenges such as the identification and understanding of tacit knowledge, access to tacit knowledge sharing platforms, access to expertise with specific tacit knowledge, tacit knowledge hoarding, individualism, and ICT-related challenges in accessing tacit knowledge. Finally, the study recommends the adoption of a proposed framework for managing tacit knowledge at the KIPPRA.

scholarly journals A mathematical model for designing a reliable cellular hybrid manufacturing-remanufacturing system considering alternative and contingency process routings

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Amirreza Hooshyar Telegraphi ◽  
Akif Asil Bulgak
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Manufacturing Systems ◽  
Closed Loop ◽  
Sustainable Manufacturing ◽  
Critical Issue ◽  
Economic Benefits ◽  
Mixed Integer ◽  
Hybrid Manufacturing ◽  
Closed Loop Supply Chain

AbstractDue to the stringent awareness toward the preservation and resuscitation of natural resources and the potential economic benefits, designing sustainable manufacturing enterprises has become a critical issue in recent years. This presents different challenges in coordinating the activities inside the manufacturing systems with the entire closed-loop supply chain. In this paper, a mixed-integer mathematical model for designing a hybrid-manufacturing-remanufacturing system in a closed-loop supply chain is presented. Noteworthy, the operational planning of a cellular hybrid manufacturing-remanufacturing system is coordinated with the tactical planning of a closed-loop supply chain. To improve the flexibility and reliability in the cellular hybrid manufacturing-remanufacturing system, alternative process routings and contingency process routings are considered. The mathematical model in this paper, to the best of our knowledge, is the first integrated model in the design of hybrid cellular manufacturing systems which considers main and contingency process routings as well as reliability of the manufacturing system.

scholarly journals Special Issue on Smart Sustainable Manufacturing Systems

2019 ◽  
Vol 9 (11) ◽  
pp. 2264
Author(s):  
Gökan May ◽  
Dimitris Kiritsis
Keyword(s):  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Digital Technologies ◽  
Special Issue ◽  
Challenges And Opportunities

With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities [...]

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