Achieving Best Practice Manufacturing Involving Tacit Knowledge through the Cautious Use of Mixed-Mode Modelling

2012 ◽  
pp. 237-256
Author(s):  
Miles G. Nicholls ◽  
Barbara J. Cargill
Keyword(s):  
Tacit Knowledge ◽  
Real World ◽  
Mixed Mode ◽  
Best Practice ◽  
Solution Process ◽  
Shop Floor ◽  
Optimal Solutions ◽  
Production Processes ◽  
Employee Groups ◽  
Subjective Input

In the real world, ‘optimal’ solutions for many production process problems do not exist. In such circumstances, ‘best practice’ is the realistic outcome for which practitioners aim. The reasons for this stem from many causes, including that data associated with production processes are often corrupted and/or missing. These types of processes usually rely heavily on the subjective input of the process workers on the shop floor (tacit knowledge). This paper outlines how the use of mixed-mode modelling has been utilised to help solve these types of problems. The industry examples used in the paper incorporate the concept of Communities of Practice (CoPs) in the mixed-mode models that are developed as a means of capturing tacit knowledge and incorporating it into the solution process. Additionally, CoPs need to sit comfortably within the culture and values of the organisation and employee groups, and must be clearly owned and facilitated by the community of workers whose knowledge is to be shared. Finally, CoPs should be presented as opportunities to share, compare, and learn so that a ‘craft’ is not lost or diminished.

Achieving Best Practice Manufacturing Involving Tacit Knowledge through the Cautious Use of Mixed-mode Modelling

2010 ◽  
Vol 2 (2) ◽  
pp. 35-52 ◽  
Author(s):  
Miles G. Nicholls ◽  
Barbara J. Cargill
Keyword(s):  
Communities Of Practice ◽  
Tacit Knowledge ◽  
Mixed Mode ◽  
Best Practice ◽  
Solution Process ◽  
Shop Floor ◽  
Optimal Solutions ◽  
Production Processes ◽  
Employee Groups ◽  
Subjective Input

In the real world, ‘optimal’ solutions for many production process problems do not exist. In such circumstances, ‘best practice’ is the realistic outcome for which practitioners aim. The reasons for this stem from many causes, including that data associated with production processes are often corrupted and/or missing. These types of processes usually rely heavily on the subjective input of the process workers on the shop floor (tacit knowledge). This paper outlines how the use of mixed-mode modelling has been utilised to help solve these types of problems. The industry examples used in the paper incorporate the concept of Communities of Practice (CoPs) in the mixed-mode models that are developed as a means of capturing tacit knowledge and incorporating it into the solution process. Additionally, CoPs need to sit comfortably within the culture and values of the organisation and employee groups, and must be clearly owned and facilitated by the community of workers whose knowledge is to be shared. Finally, CoPs should be presented as opportunities to share, compare, and learn so that a ‘craft’ is not lost or diminished.

scholarly journals Can pragmatic research, real-world data and digital technologies aid the development of psychedelic medicine?

2021 ◽  
pp. 026988112110085
Author(s):  
Robin L Carhart-Harris ◽  
Anne C Wagner ◽  
Manish Agrawal ◽  
Hannes Kettner ◽  
Jerold F Rosenbaum ◽  
...  
Keyword(s):  
Real World ◽  
Best Practice ◽  
Digital Health ◽  
Real World Data ◽  
Treatment Protocols ◽  
World Data ◽  
Cost Efficient ◽  
Personalised Treatment ◽  
New Research ◽  
Confirmatory Trials

Favourable regulatory assessments, liberal policy changes, new research centres and substantial commercial investment signal that psychedelic therapy is making a major comeback. Positive findings from modern trials are catalysing developments, but it is questionable whether current confirmatory trials are sufficient for advancing our understanding of safety and best practice. Here we suggest supplementing traditional confirmatory trials with pragmatic trials, real-world data initiatives and digital health solutions to better support the discovery of optimal and personalised treatment protocols and parameters. These recommendations are intended to help support the development of safe, effective and cost-efficient psychedelic therapy, which, given its history, is vulnerable to excesses of hype and regulation.

scholarly journals Real-World Failure Prevention Framework for Manufacturing Facilities Using Text Data

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 676
Author(s):  
Jonghyuk Park ◽  
Eunyoung Choi ◽  
Yerim Choi
Keyword(s):  
Real World ◽  
Failure Pattern ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Text Data ◽  
Failure Prevention ◽  
Actual Application ◽  
The Status ◽  
Sensor Signals ◽  
Smart Factories

In recent years, manufacturing companies have been continuously engaging in research for the full implementation of smart factories, with many studies on methods to prevent facility failures that directly affect the productivity of the manufacturing sites. However, most studies have only analyzed sensor signals rather than text manually typed by operators. In addition, existing studies have not proposed an actual application system considering the manufacturing site environment but only presented a model that predicts the status or failure of the facility. Therefore, in this paper, we propose a real-world failure prevention framework that alerts the operator by providing a list of possible failure categories based on a failure pattern database before the operator starts work. The failure pattern database is constructed by analyzing and categorizing manually entered text to provide more detailed information. The performance of the proposed framework was evaluated utilizing actual manufacturing data based on scenarios that can occur in a real-world manufacturing site. The performance evaluation experiments demonstrated that the proposed framework could prevent facility failures and enhance the productivity and efficiency of the shop floor.

TAD-Net: An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 10
Author(s):  
Qing Hong ◽  
Yifeng Sun ◽  
Tingyu Liu ◽  
Liang Fu ◽  
Yunfeng Xie
Keyword(s):  
Real Time ◽  
Sequence Data ◽  
Network Models ◽  
Human Action ◽  
Practical Significance ◽  
Shop Floor ◽  
Action Detection ◽  
Digital Twin ◽  
Actual Application ◽  
Production Processes

Background: Intelligent monitoring of human action in production is an important step to help standardize production processes and construct a digital twin shop-floor rapidly. Human action has a significant impact on the production safety and efficiency of a shop-floor, however, because of the high individual initiative of humans, it is difficult to realize real-time action detection in a digital twin shop-floor. Methods: We proposed a real-time detection approach for shop-floor production action. This approach used the sequence data of continuous human skeleton joints sequences as the input. We then reconstructed the Joint Classification-Regression Recurrent Neural Networks (JCR-RNN) based on Temporal Convolution Network (TCN) and Graph Convolution Network (GCN). We called this approach the Temporal Action Detection Net (TAD-Net), which realized real-time shop-floor production action detection. Results: The results of the verification experiment showed that our approach has achieved a high temporal positioning score, recognition speed, and accuracy when applied to the existing Online Action Detection (OAD) dataset and the Nanjing University of Science and Technology 3 Dimensions (NJUST3D) dataset. TAD-Net can meet the actual needs of the digital twin shop-floor. Conclusions: Our method has higher recognition accuracy, temporal positioning accuracy, and faster running speed than other mainstream network models, it can better meet actual application requirements, and has important research value and practical significance for standardizing shop-floor production processes, reducing production security risks, and contributing to the understanding of real-time production action.

scholarly journals The Frontier Production Function: A Tool for Improved Decision Making

1980 ◽  
Vol 9 (2) ◽  
pp. 1-10 ◽  
Author(s):  
Richard A. King
Keyword(s):  
Decision Making ◽  
Production Function ◽  
Best Practice ◽  
Processing Plant ◽  
Technical Knowledge ◽  
Production Processes ◽  
Frontier Production Function ◽  
Enterprise Budgets

A frontier production function may be thought of as a “best practice” production function (Førsund and Jansen) or a function that expresses the maximum product obtainable from various combinations of factors given the existing state of technical knowledge. It is the theoretical counterpart to farm enterprise budgets or processing plant budgets derived by economic engineering methods to describe the best possible production processes.

scholarly journals Implementation of Lean Manufacturing in a Cement Industry

2021 ◽  
Vol 11 (3) ◽  
pp. 7069-7074
Author(s):  
M. Masmali
Keyword(s):  
Production Line ◽  
Lean Manufacturing ◽  
Production Control ◽  
Value Added ◽  
Cement Industry ◽  
Shop Floor ◽  
Value Stream Mapping ◽  
Cement Production ◽  
Work In Process ◽  
Production Processes

The lean manufacturing concept is a systematic minimization of waste and non-value activities in production processes introduced by the Toyota production system. In this research, lean manufacturing is implemented in a cement production line. Value Stream Mapping (VSM) is applied to give a clear picture of the value chain in cement production processes and to highlight the non-value-added in the shop floor. To begin, the existing VSM is constructed based on the information and data gathered during visiting and observing the manufacturing process in the firm. As a result, the excess inventory between workstations was identified as a major waste generation, hence, the proposed VSM conducts further improvement and makes action plans to alleviate the unwanted activities. Then, the takt time to ensure smooth material flow and to avoid any occurring delay or bottleneck in the production line was figured out. The supermarket pull-based production control is suggested to be adopted in the future map. Two pull production strategies are selected in this case. The first is applying the Kanban system to control the level of inventory between workstations. The other is the CONWIP approach to control the amount of work in process to the entire production line. The outcome of the proposed models indicates a decrease of the none-value time from 23 days in the current state to about 4 and 2 days in Kanban and CONWIP systems respectively, so the CONWIP was suggested as most efficient. Some suggestions for further research are also mentioned.

scholarly journals Lean Companies Employed Assembly Workers Train with New Approches

2021 ◽  
Vol 12 (5) ◽  
pp. 574-579
Author(s):  
Somesh Dhamija
Keyword(s):  
Lean Manufacturing ◽  
Implementation Process ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Complex Activity ◽  
The Core ◽  
Production Processes ◽  
Effective Training ◽  
Manufacturing Activity ◽  
Definition Of

LM has proven itself the production system that enhances shop floor efficiency. Furthermore, the current environment for production firms is accelerating the pace at which LM is implemented. The manufacture of lean is not easy to introduce. It is constant and complex activity. Assembly workers in production processes are the core of lean manufacturing activity. Training is known as vehicle to aid the implementation process. While the importance of training is known so far, there are only a few options for organizing effective training. The results of the survey of questions conducted inside UK manufacturing companies are examined. This article illustrates the definition of lean production and worker requirements in lean environment.

scholarly journals Manual für Methoden und Nutzung versorgungsnaher Daten zur Wissensgenerierung

2020 ◽  
Vol 82 (08/09) ◽  
pp. 716-722
Author(s):  
Monika Klinkhammer-Schalke ◽  
Thomas Kaiser ◽  
Christian Apfelbacher ◽  
Stefan Benz ◽  
Karsten E. Dreinhöfer ◽  
...  
Keyword(s):  
Real World ◽  
Best Practice ◽  
Ad Hoc ◽  
Real Word ◽  
Real World Evidence ◽  
Vergleichende Studien

ZusammenfassungFür die Nutzung vorhandener Versorgungsdaten gibt es immer mehr gute Gründe, wobei v. a. die Nutzung von Registerdaten im Fokus steht. Das zugehörige, klar strukturierte methodische Vorgehen ist bisher noch unzureichend zusammengeführt, aufbereitet und transparent dargestellt. Das Deutsche Netzwerk Versorgungsforschung (DNVF) hat deswegen eine Ad hoc Kommission zur Nutzung versorgungsnaher Daten (RWE/RWD) ins Leben gerufen. Der vom IQWiG erstellte Rapid Report über die wissenschaftliche Ausarbeitung von Konzepten zur „Generierung versorgungsnaher Daten und deren Auswertung zum Zwecke der Nutzenbewertung von Arzneimitteln nach § 35a SGB V“ ist ein wesentlicher Schritt für die Nutzung von Registerdaten zur Evidenzgenerierung. Das vom DNVF 2020 veröffentlichte „Memorandum Register – Update 2019“ beschreibt Anforderungen und methodische Grundlagen von Registern. Best Practice Beispiele aus der Onkologie, die auf dem einheitlichen onkologischen Basisdatensatz für die Klinische Krebsregistrierung (§ 65c SGB V) beruhen, zeigen z. B., dass im Sinne einer wissensgenerierenden Versorgungsforschung mithilfe von Registerdaten Leitlinien überprüft sowie Empfehlungen für Leitlinien und notwendige Interventionen abgeleitet werden können. Gleichzeitig fehlen jedoch klare Qualitätsanforderungen und strukturierte formale und inhaltliche Vorgehensweisen in den Bereichen Datenzusammenführung, Datenprüfung und Nutzung spezifischer Methoden je nach vorhandener Fragestellung. Die bisher uneinheitlichen Vorgaben sollen aufgearbeitet und ein Methoden-Leitfaden zur Nutzung versorgungsnaher Daten entwickelt und veröffentlicht werden. Das erste Kapitel des Manuals zu Methoden versorgungsnaher Daten erläutert Zielstellung und Struktur des Manuals. Es wird dargelegt, warum die Verwendung des Begriffes „Versorgungsnahe Daten (VeDa)“ zielführender ist als die Nutzung der Begriffe Real Word Data (RWD) und Real World Evidence (RWE). Mit der Vermeidung des Begriffes „Real World“ soll insbesondere unterstrichen werden, dass auch qualitativ hochwertige Forschung auf Versorgungsdaten aufsetzen kann (z. B. registerbasierte vergleichende Studien).

CoBIs

2011 ◽  
pp. 551-558
Author(s):  
Patrik Spieß ◽  
Jens Müller
Keyword(s):  
Ubiquitous Computing ◽  
Real World ◽  
Business Processes ◽  
Lessons Learned ◽  
Use Cases ◽  
Hazardous Substances ◽  
Shop Floor ◽  
Computing Technology ◽  
Corporate Environment ◽  
Retail Environment

This chapter describes example use cases for ubiquitous computing technology in a corporate environment that have been evaluated as prototypes under realistic conditions. The main example reduces risk in the handling of hazardous substances by detecting potentially dangerous storage situations and raising alarms if certain rules are violated. We specify the requirements, implementation decisions, and lessons learned from evaluation. It is shown that ubiquitous computing in a shop floor, warehouse, or retail environment can drastically improve real-world business processes, making them safer and more efficient.

A Novel Modeling Approach for Solving the Cell Formation Problem

2018 ◽  
Author(s):  
Taras Dmytryshyn ◽  
Mohamed Ismail ◽  
Ola Rashwan
Keyword(s):  
Optimization Technique ◽  
Cell Formation ◽  
Solution Process ◽  
Cell Formation Problem ◽  
Optimal Solutions ◽  
Modeling Approach ◽  
Formation Problem ◽  
Future Extension ◽  
User Friendly ◽  
Problem Data

This paper presents a new modeling approach called Progressive Modeling (PM) and demonstrates it by solving the Cell Formation Problem (CFP). In this paper, the Progressive Modeling (PM), a component-based optimization technique, is used to solve the cell formation problem (CFP). This novel solution algorithm is utilized to find optimal or near-optimal solutions. A user-friendly Windows application is presented to capture the problem data, demonstrate the solution process, and display the results. A benchmark problem in the literature is solved and presented in this paper. The paper concludes by demonstrating the efficiency of the new modeling approach and its future extension.

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