scholarly journals Key performance indicators: contemporary challenges to industrial small and medium enterprises

2021 ◽  
Vol 70 (4) ◽  
pp. 399
Author(s):  
R Banelienė
Keyword(s):  
Performance Indicators ◽  
Small And Medium Enterprises ◽  
Key Performance Indicators ◽  
Medium Enterprises

Developing Maintenance Key Performance Indicators From Maintenance Work Order Data

2018 ◽  
Author(s):  
Michael P. Brundage ◽  
K. C. Morris ◽  
Thurston Sexton ◽  
Sascha Moccozet ◽  
Michael Hoffman
Keyword(s):  
Performance Indicators ◽  
Small And Medium Enterprises ◽  
Key Performance Indicators ◽  
Maintenance Management ◽  
Other Information ◽  
Maintenance Decisions ◽  
Maintenance Technicians ◽  
Maintenance Work ◽  
Maintenance Decision ◽  
Medium Enterprises

Maintenance management for manufacturing is a crucial activity for improving productivity within a facility. Within this process, maintenance work orders (MWOs) are used when tracking and solving any maintenance–related issue. The MWOs often capture the problem, the solution, at what machine the problem occurred, who solved the problem, when the problem occurred, and other information. These MWOs are manually written by maintenance technicians, entered into a database, or recorded directly into maintenance management software. Technicians often describe or record information informally — or do not record it at all — leading to inconsistencies and/or inaccuracies in the data. This paper outlines maintenance key performance indicators (KPIs), developed using MWOs, that show why consistent and accurate data collection is important for maintenance decision making. The maintenance data, or “elements,” and their corresponding KPIs are derived from MWOs from real manufacturers (large manufacturers and small and medium enterprises). While all elements or KPIs are not recorded by every manufacturer, the guideline provided here outlines the elements necessary to calculate specific KPIs. These examples are developed to aid in common maintenance decisions.

scholarly journals Automated Sustainability Assessment System for Small and Medium Enterprises Reporting

2020 ◽  
Vol 12 (14) ◽  
pp. 5687 ◽  
Author(s):  
Edward Kassem ◽  
Oldrich Trenz
Keyword(s):  
Performance Indicators ◽  
Global Economy ◽  
Sustainability Assessment ◽  
Small And Medium Enterprises ◽  
Sustainability Reporting ◽  
Key Performance Indicators ◽  
Assessment System ◽  
Second Phase ◽  
Restriction Factors ◽  
Medium Enterprises

Sustainability assessment is a mainstream business activity that demonstrates the link between the organization’s strategy for and commitment to a sustainable global economy, and the prevention of economic crises. Small- and medium-sized businesses/enterprises (SMBs/SMEs) have significant effects on the European economy. However, because of a lot of restriction factors, like business risk, the high expenses of data collection and management, and the lack of resources, sustainability reporting is considered a superfluous and burdensome activity for them. The aim of this research is to propose an automated, comprehensive and simplified system for the sustainability assessment of SMEs. This system is achieved by implementing three main phases. The first phase includes key performance indicators design, which starts with the identification of various key performance indicators for comprehensive sustainability assessment, and ends with proposing an optimal set of KPIs (Key Performance Indicators) that can encompass long-term issues and be applicable to SMEs in the EU. The second phase involves a new comprehensive method of sustainability assessment for all KPIs designed in the first phase. Therefore, a multi-criteria model, which involves four main pillars of sustainability assessment (economic, environmental, social and governance), is proposed. It gives different enterprises the ability to verify and compare their efficiency and sustainability with other companies within the same sector in an almost automated manner. In the final phase, a simple and an automated information system (WEBRIS), which provides a suitable environment for SME sustainability reporting, is developed. Finally, this system is verified in a case study of the Czech breweries sector.

An assessment of maintenance performance indicators using the fuzzy sets approach and genetic algorithms

2016 ◽  
Vol 231 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Miladin Stefanovic ◽  
Snezana Nestic ◽  
Aleksandar Djordjevic ◽  
Dusan Djurovic ◽  
Ivan Macuzic ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Sets ◽  
Performance Indicators ◽  
Performance Indicator ◽  
Small And Medium Enterprises ◽  
Key Performance Indicators ◽  
Maintenance Cost ◽  
Process Indicators ◽  
Medium Enterprises ◽  
Maintenance Performance

In this article, a novel approach for assessment and ranking of maintenance process indicators as well as maintenance cost indicators and maintenance equipment indicators using the fuzzy sets approach and genetic algorithms is presented. Weight values of these indicators are defined using the experience of decision makers from analyzed small and medium enterprises (total number of 197 persons) and calculated using the fuzzy sets approach. In the second step, a model for ranking and optimization of maintenance performance indicators and small and medium enterprises by using genetic algorithm is presented. The presented approach enables multi-objective optimization of selected key performance indicators in the scope of optimization of maintenance performances. The value of optimization was tested on a group of small and medium enterprises which proved that improvement of maintenance performance could be more significant (or performed at the shorter period of time) if the specific key performance indicators were targeted for improvement. The presented solution could provide identification of strengths and weaknesses (comparing key performance indicators), learning from a leading organization (in prioritization of key performance indicator improvement) and improvement of maintenance performance.

scholarly journals Performance measurement of Tempeh crackers supply chain management using Halal criteria on SCOR Model

2021 ◽  
Vol 332 ◽  
pp. 04002
Author(s):  
Dini Wahyuni ◽  
Nazaruddin ◽  
Suci Amalia Frastika ◽  
Irwan Budiman
Keyword(s):  
Performance Indicators ◽  
Small And Medium Enterprises ◽  
Key Performance Indicators ◽  
Production Performance ◽  
Raw Material ◽  
Traffic Light ◽  
Business World ◽  
Scor Model ◽  
Product Manufacturing ◽  
Medium Enterprises

Currently, the Indonesian business world is still dominated by Small and Medium Enterprises (SME). The number of SME has reached more than 26 million businesses, with Sumatera Utara being the province with the fourth largest number of SME in Indonesia. Every SME that produces halal products needs to measure its production performance by considering halal criteria to find out and measure the implementation of Islamic principles in product processing. There are 15 Key Performance Indicators used in measuring performance with SCOR Model and 6 of them are related to halal, namely Halal MUI label, Halal raw material, Order received damage free, Accuracy payment to suppliers, Appropriate in paying salaries, and number of defective products. Final performance of Tempeh SME is 45.94; which shows the performance of SME is still in a marginal condition. Based on the identification with the traffic light system, out of 15 KPIs (Key Performance Indicators) there are 7 KPIs that have a red color which indicates that repairing efforts are needed, namely: meetings with customers, MUI halal labels, number of defective products, flexibility in product manufacturing, equipment life, complain rate, and product replacement time.

Development of a methodology to assist manufacturing SMEs in the selection of appropriate lean tools

2016 ◽  
Vol 7 (1) ◽  
pp. 62-84 ◽  
Author(s):  
Osama Alaskari ◽  
Mohammad Munir Ahmad ◽  
Ruben Pinedo-Cuenca
Keyword(s):  
Literature Review ◽  
Performance Indicators ◽  
Small And Medium Enterprises ◽  
Manufacturing Sector ◽  
Content Type ◽  
Lean Tools ◽  
Medium Enterprises ◽  
Practical Implications ◽  
Selection Of

Purpose – The purpose of this paper is to develop a methodology that can help small and medium enterprises (SMEs), in the manufacturing sector, to select an appropriate lean tool for the company which will maximum benefits from adopting the tool. Design/methodology/approach – This study focuses on the selection of an appropriate lean tool for manufacturing SMEs. The methodology contains a quantitative approach that can assist SMEs in identifying the appropriate lean tool. A literature review, collation of experts’ opinions via a questionnaire and a case study (to provide a guideline as to how the developed methodology may work) are presented in this research. Findings – The findings revealed that the proposed methodology was effective in identifying the appropriate lean tools for companies, according to the key performance indicators in the manufacturing SME sector. Practical implications – The developed methodology can be used by manufacturing SMEs as a decision support system to enable the representatives of the company to make an informed decision regarding the selection of the most appropriate lean tool (i.e. that will address the most important issue that the company is experiencing). The strength of using this methodology is that appropriate lean tool can be ascertained relatively easily and inexpensively. There is the prospect of this methodology being applicable to most types of SMEs. Originality/value – This methodology has proven to be useful for recommending the application of lean tools in a company’s attempt to become lean, bridging the gap identified in the literature review.

scholarly journals Modeling the Activity of Small and Medium Enterprises using Set Theory

2020 ◽  
Vol 8 (6) ◽  
pp. 1400-1405
Keyword(s):  
Set Theory ◽  
Performance Indicators ◽  
Economic Activity ◽  
System Analysis ◽  
Small And Medium Enterprises ◽  
State Regulation ◽  
Processing Data ◽  
Develop Technology ◽  
Business Entities ◽  
Medium Enterprises

One of the directions of the Strategy for the Development of the Information Society in the Russian Federation for 2017-2030 is elaboration of technology for processing data on the activities of economic entities, as a tool for analyzing economic activity and making decisions based on the most complete amounts of information. The number of small and medium enterprises in certain industries and regions of Russia amounts to tens and hundreds of thousands. The assessment of their performance indicators requires improving methods for the formation and analysis of relevant databases, as well as the development of computer economic and mathematical models. Taking into account the large number of enterprises included in the relevant aggregates, the authors propose a new original approach to the description of their performance indicators. The study aims to develop a methodology for a system analysis of performance indicators of small and medium enterprises using set theory. These indicators are formed on the basis of a combination of different variants of their sets. The authors also consider the interrelations between the indicators characterizing the sets of small and medium enterprises belonging to different size categories, industries and territories. The results of the study can be used to develop technology for processing data on the activities of business entities, as a tool for analyzing economic activity and making decisions. They make it possible to establish patterns and trends in the development of various aggregates of SMEs, substantiate proposals and recommendations for improving their functioning on the basis of the characteristics specific to particular aggregates, and provide a differentiated approach to solving problems of state regulation of entrepreneurship.

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