scholarly journals Sustainability Performance Indicators at Shop Floor Level in Large Manufacturing Companies

Procedia CIRP ◽  
2017 ◽  
Vol 61 ◽  
pp. 457-462 ◽  
Author(s):  
Mats Zackrisson ◽  
Martin Kurdve ◽  
Sasha Shahbazi ◽  
Magnus Wiktorsson ◽  
Mats Winroth ◽  
...  
Keyword(s):  
Performance Indicators ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Floor Level ◽  
Sustainability Performance

scholarly journals Lean Information Management: Criteria For Selecting Key Performance Indicators At Shop Floor

2015 ◽  
Vol 66 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Maria Virginia Iuga ◽  
Claudiu Vasile Kifor ◽  
Liviu-Ion Rosca
Keyword(s):  
Information Management ◽  
Performance Indicators ◽  
Selection Criteria ◽  
Corporate Strategy ◽  
Performance Metrics ◽  
Key Performance Indicators ◽  
Shop Floor ◽  
Research Gaps ◽  
Floor Level ◽  
The Right

AbstractMost successful organizations worldwide use key performance indicators as an important part of their corporate strategy in order to forecast, measure and plan their businesses. Performance metrics vary in their purpose, definition and content. Therefore, the way organizations select what they think are the optimal indicators for their businesses varies from company to company, sometimes even from department to department. This study aims to answer the question of what is the most suitable way to define and select key performance indicators. More than that, it identifies the right criteria to select key performance indicators at shop floor level. This paper contributes to prior research by analysing and comparing previously researched selection criteria and proposes an original six-criteria-model, which caters towards choosing the most adequate KPIs. Furthermore, the authors take the research a step further by further steps to closed research gaps within this field of study.

Methodology of Operationalization of KPIs for Shop-Floor

2019 ◽  
pp. 163-191
Author(s):  
Mariana Raposo Oliveira ◽  
Diogo Jorge ◽  
Paulo Peças
Keyword(s):  
Industrial Organization ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Shop Floor ◽  
Floor Level ◽  
And Control

Key performance indicators (KPIs) are a critical tool to support activities and results' monitoring in any industrial organization. The published literature and the available approaches on KPIs focus on the business and administrative level, being computed with information retrieved at the shop-floor level. Despite that, there is a scarcity of structured and comprehensive approaches to support the generation of KPIs to be used at the shop-floor level (the few existent approaches are empiric-based). In this chapter, a methodology to support the selection and organization of KPIs at the shop-floor level is proposed. Departing from the Hoshin Kanri strategy deployment, it identifies the levels of decision and control in the company regarding the production activities and derives the most adequate KPIs for each level based on universal questions about “what performance to assess.” The build-up of visual management boards for each level is also proposed.

scholarly journals Shop Floor-Level Control of Manufacturing Companies: An Interview Study in Finland

2015 ◽  
Vol 6 (1) ◽  
pp. 51-58
Author(s):  
Henri Tokola ◽  
Eeva Järvenpää ◽  
Tapio Salonen ◽  
Minna Lanz ◽  
Mikko Koho ◽  
...  
Keyword(s):  
Shop Floor ◽  
Manufacturing Companies ◽  
Small Companies ◽  
Level Control ◽  
Floor Level ◽  
Processing Times ◽  
Open Questions ◽  
End Products ◽  
Production Flexibility ◽  
Different Characteristics

Abstract This paper publishes the results of interviews regarding shop-floor-level control of 18 Finnish manufacturing companies. The interviews had 17 open questions relating to demand characteristics, shop floor-level control issues, production flexibility, inventory control, and potential development areas. In order to get insights from the interviews, this paper analyses the answers from the interviews and categorises them into typical answers. The companies that were interviewed are also categorised as small companies with their own end products, subcontractors, or large companies with their own end products, and the emphasis of the analysis is on how companies differ in their shop floor-level control. The results show that different types of companies have different characteristics. Small companies are characterised by constant workflow, seasonal trends in demand, and the use of forecasts. Subcontractors have great daily variation in their demand and processing times. Large companies tend to focus on inventory issues.

Performance management on the shop floor – an investigation of KPI perception among managers and employees

2020 ◽  
Vol 12 (4) ◽  
pp. 461-473
Author(s):  
Jasmin Ohlig ◽  
Thomas Hellebrandt ◽  
Amelie I. Metzmacher ◽  
Patrick Pötters ◽  
Ina Heine ◽  
...  
Keyword(s):  
Performance Management ◽  
Performance Indicators ◽  
Management System ◽  
Design Methodology ◽  
Qualitative Interviews ◽  
Shop Floor ◽  
Performance Management System ◽  
Negative Perception ◽  
Content Type ◽  
Floor Level

Purpose The purpose of this paper is to investigate the application of key performance indicators (KPIs) on shop floor level in German small- and medium-sized enterprises (SMEs). The paper focuses on the examination of perception differences between shop floor employees and managers with regard to collection, calculation and consolidation of KPIs as well as visualization and motivational aspects. Design/methodology/approach To examine the hypothesis on differing perceptions regarding KPIs, 27 qualitative interviews with shop floor employees and production managers within 6 SMEs from the German machinery and equipment industry were conducted on basis of a semi-structured guideline. Findings The findings show that shop floor employees self-assess a lack of relevant knowledge when it comes to understanding KPIs. Moreover, the results show that shop floor employees perceive the visualization of shop floor KPIs as insufficient and non-motivational. This goes along with the finding that managers are aware of the lacking benefit of KPIs resulting from the rather negative perception of shop floor employees. The interviewed managers recognize a strong potential for improvement of their KPI systems. Originality/value The interview results confirm the need to design a performance management system on the shop floor that considers and aligns both management and operations, is directed to the shop floor level, considers explicitly the perspective of employees and integrates motivational elements.

Digitalization of Shop Floor Management: In Blissful Ignorance of Superfluous Work

2021 ◽  
pp. 2140002
Author(s):  
John Bang Mathiasen ◽  
Henning de Haas
Keyword(s):  
Decision Making ◽  
Knowledge Sharing ◽  
Reflective Thinking ◽  
Smart Manufacturing ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Organizational Boundaries ◽  
Floor Level ◽  
Decision Making Processes ◽  
Complex Decision Making

With the purpose of understanding the extent of superfluous work and, thereby, suggesting managerial opportunities for reducing superfluous work, this paper focuses on decision-making processes at the shop floor level in digitalized manufacturing companies. Superfluous work is a kind of hidden waste and comprises the gap between necessary work and the work that is actually carried out, either on handling daily tasks at the shop floor, accomplishing decision-making processes, or implementing workarounds. By using an abductive approach, the research systematically combines a theoretical conceptualization of shop floor decision-making processes in smart-manufacturing with an empirical enquiry into a highly digitalized manufacturing company. The paper reveals superfluous work if the decision-making process involves collaboration across disciplines and/or organizational boundaries. Superfluous work occurs because of a lack of data and information to guide reflective thinking and knowledge sharing. In relation to highly complex decision-making, the ongoing implementation of workarounds also causes superfluous work. Prerequisites for reducing superfluous work are enhancing the accessibility of applicable data to guide reflective thinking and knowledge sharing at the shop floor level.

scholarly journals TO SUPPORT IOT COLLABORATIVE EXPRESSIVENESS ON THE SHOP FLOOR

2021 ◽  
Vol 1 ◽  
pp. 3149-3158
Author(s):  
Álvaro Aranda Muñoz ◽  
Yvonne Eriksson ◽  
Yuji Yamamoto ◽  
Ulrika Florin ◽  
Kristian Sandström
Keyword(s):  
Industry 4.0 ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Technical Aspects ◽  
Industrial Landscape ◽  
The Future ◽  
New Research ◽  
Empirical Material

AbstractThe availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.

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.

scholarly journals Perceived Project Sustainability Performance Indicators (PPSPI) for Value Planning

2015 ◽  
Vol 202 ◽  
pp. 89-97 ◽  
Author(s):  
Abdul Hadi Nawawi ◽  
Faudzi Muhammad ◽  
Rohana Mahbub ◽  
Nazirah Zainul Abidin
Keyword(s):  
Performance Indicators ◽  
Sustainability Performance ◽  
Project Sustainability

scholarly journals EXAMINATION OF THE EFFECT OF LOGISTICS FUNCTIONS ON FINANCIAL PERFORMANCE OF ORGANIZATION

2021 ◽  
Vol 8 (3) ◽  
pp. 18-26
Author(s):  
Boye AYANTOYINBO ◽  
Adeolu GBADEGESIN
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Financial Performance ◽  
Performance Indicators ◽  
Secondary Data ◽  
Manufacturing Companies ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Subject ◽  
Logistic Functions

The contributions of logistics functions to the performance of an organization have been the subject of research over the years. Thus, this present study further examined the effect of outbound logistics functions on financial performance of quoted manufacturing companies in Nigeria. Panel data regression analysis was employed to test the effect of logistics functions on financial performance of the selected companies over a period of five years (2015-2019). Logistic functions costs and financial performance indicators were extracted from secondary data.  The findings of the study showed that logistics function has a positive and significant effect on financial performance of manufacturing companies in Nigeria. Therefore, the companies are implored to pay more attention to logistics functions when aiming at a better financial performance.

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