Listening Studies: How Investing Time in Deeply Understanding Community Contributes to Operational Excellence

2016 ◽  
Author(s):  
Linda Brewer ◽  
Clory Martin
Keyword(s):  
Listening Studies ◽  
Operational Excellence

Age-Related Changes in Flexible Listening: Studies on Meta-Audition and the False Hearing Effect

2012 ◽  
Author(s):  
Chad S. Rogers ◽  
Larry L. Jacoby ◽  
Mitchell S. Sommers ◽  
Arthur Wingfield
Keyword(s):  
Age Related ◽  
Listening Studies ◽  
Age Related Changes

From Operational Risk to Operational Excellence

2003 ◽  
Author(s):  
Paolo Vanini ◽  
Markus Leippold ◽  
Barbara Doebeli
Keyword(s):  
Operational Risk ◽  
Operational Excellence

Organic Leadership Style and Employee Engagement: The Mediating Effect of Social Relevance of Work in Context of Faculty Members in Higher Education

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
G.P. Dang ◽  
Puneet Basur
Keyword(s):  
Higher Education ◽  
Employee Engagement ◽  
Leadership Style ◽  
Faculty Members ◽  
Mediating Effect ◽  
Social Relevance ◽  
Mediating Role ◽  
Group Members ◽  
Operational Excellence

Leadership Style has been since long acknowledged by management scholars as being an important subject in relation to organizational executions and outcome. An effective leadership would not only be able to prevent job stress and burnout among group members, but would also be successful in enhancing the motivation and engagement of the employees. It has been widely accepted that operational excellence in an organization can only be maintained through engaged employees. In this study the researchers have strived to enhance the understanding of the complex relationship between the organic leadership style and the engagement level of the employees and to further comprehend the mediating role of social relevance of work in association of the two constructs i.e. leadership style and employee engagement, in context of faculty members in higher education sector.

scholarly journals Queue Length Forecasting in Complex Manufacturing Job Shops

Forecasting ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 322-338
Author(s):  
Marvin Carl May ◽  
Alexander Albers ◽  
Marc David Fischer ◽  
Florian Mayerhofer ◽  
Louis Schäfer ◽  
...  
Keyword(s):  
Operations Management ◽  
Queue Length ◽  
Manufacturing Systems ◽  
Production Control ◽  
Data Sets ◽  
Job Shops ◽  
Static Data ◽  
Queue Lengths ◽  
Operational Excellence

Currently, manufacturing is characterized by increasing complexity both on the technical and organizational levels. Thus, more complex and intelligent production control methods are developed in order to remain competitive and achieve operational excellence. Operations management described early on the influence among target metrics, such as queuing times, queue length, and production speed. However, accurate predictions of queue lengths have long been overlooked as a means to better understanding manufacturing systems. In order to provide queue length forecasts, this paper introduced a methodology to identify queue lengths in retrospect based on transitional data, as well as a comparison of easy-to-deploy machine learning-based queue forecasting models. Forecasting, based on static data sets, as well as time series models can be shown to be successfully applied in an exemplary semiconductor case study. The main findings concluded that accurate queue length prediction, even with minimal available data, is feasible by applying a variety of techniques, which can enable further research and predictions.

Improving sustainable supply chains performance through operational excellence: circular economy approach

2019 ◽  
Vol 149 ◽  
pp. 236-248 ◽  
Author(s):  
Simone Sehnem ◽  
Charbel Jose Chiappetta Jabbour ◽  
Susana Carla Farias Pereira ◽  
Ana Beatriz Lopes de Sousa Jabbour
Keyword(s):  
Supply Chains ◽  
Circular Economy ◽  
Sustainable Supply Chains ◽  
Operational Excellence

Pursuit of Operational Excellence

2016 ◽  
Vol 3 (2) ◽  
pp. 21-34
Author(s):  
Christine Welch ◽  
Tammi Sinha ◽  
Nigel Ward
Keyword(s):  
Change Management ◽  
Continuous Improvement ◽  
High Performance ◽  
Effective Leadership ◽  
Value Systems ◽  
Goods And Services ◽  
Team Working ◽  
Performance Teams ◽  
Operational Excellence

Operational Excellence (OE) is achieved when high performance teams are seeking for continuous improvement in well-designed processes, using appropriate tools and technologies. Excellence is underpinned by a philosophy in which problem-solving, team-working and effective leadership combine to focus upon customer needs, and all employees are empowered to act to maintain optimal flows of value. OE is clearly a desirable quality of organizations seeking both effectiveness and efficiency in their production of goods and services for customers. OE is underpinned by concepts such as team-working, effective leadership and change management, and depends upon effective flows of value. Systems Thinking (ST) is consequently at the heart of genuine excellence. This paper was conceived in the context of a Community of Practice of business improvement professionals, who took Operational Excellence as their agenda for inquiry during sessions in 2015. Reflection upon practice discussed at these meetings, together with the literature of change management and continuous improvement, have led to development of a systemic ‘landscape' model for pursuit of Operational Excellence. The elements of this model are set out, showing how they can contribute to OE.

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