Supply Chain Performance Evaluation: Trends and Challenges

Beno,

doi:10.3844/ajeassp.2009.202.211

Cited by 24 publications

(3 citation statements)

References 47 publications

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“…In real problems in the field, performance evaluation techniques with Fuzzy logic can be used to handle cases such as subjectivity, obscurity, and imprecise information. The application of fuzzy set theory in evaluation systems can improve evaluation results [12].…”

Section: Resultsmentioning

confidence: 99%

Optimization of National Rice Production with Fuzzy Logic using Mamdani Method

Wawan¹,

Zuniati²,

Setiawan³

2021

J. Multidiscip. Appl. Nat. Sci.

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The purpose of this article is to optimization of national rice production with fuzzy logic using Mamdani method. Based on the results of the study, it is known that four parameters need to be considered to maintain the price stability of necessities, namely production; availability; demand and distribution. Optimization of production by producers and optimization of the ordering of goods by distributors are important steps to maintain price stability for necessities. Optimization of production and ordering of staple goods will have a significant impact on the financial sector because it is closely related to the prediction of the number of raw materials used, production costs, storage costs, and also distribution costs of goods. One of the fuzzy inference methods that can be used for this optimization is the Mamdani method. To get the output on the application of the fuzzy logic of the Mamdani method, four stages are needed, formation of fuzzy sets; application of implication functions; composition of rules and defuzzification. Fuzzy logic Mamdani method can be used to predict the amount of national rice that must be produced. If it is known that the need is 21,908,784 tons of rice and the supply is 65,457,456 tons, the amount of national rice that must be produced is 14,624,592 tons.

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Section: Resultsmentioning

confidence: 99%

Optimization of National Rice Production with Fuzzy Logic using Mamdani Method

Wawan¹,

Zuniati²,

Setiawan³

2021

J. Multidiscip. Appl. Nat. Sci.

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“…The stages are: Define Measure, Analyze, Improve and Control (DMAIC), (Breyfogle, 2003, Olugu andWong, 2009). Each of these steps has well established goals and contents as following:…”

Section: Resultsmentioning

confidence: 99%

“…The statistical analyses performed on this data were used to draw conclusions of the development plan identified for the team and for the athletes (individual and team level). The statistical tools involved in this study were Minitab (Ryan et al, 2005), analytical approaches (Breyfogle, 2003) and computational tools (Levine et al, 2000;StatSoft, Inc., 2000). Because introduction of the six sigma methodology to sports needs to start with the building blocks for analyses, an a short description is listed here but further reading is advised in (Pande et al, 2000, Breyfogle, 2003.…”

Section: Methodsmentioning

confidence: 99%

Optimization of Coaching Using Six Sigma

Dumitru¹

2011

Journal of Social Sciences

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Problem statement: In today's sports world, coaching and training methods are the subject of intensive competition amongst rivals. Innovative technologies, methodologies and preparation methods are employed to achieve a sustainable competitive advantage. Effective performance measurement, statistical analysis and data based decision taking have been identified as key elements towards efficient performance management. The statistical approach has been emphasized in order to fill the gaps in athlete's preparation and improve performance. There is need to better connect the dots between the methods of statistical analysis and training and coaching methods used to improve the performance of an athlete or a team. Approach: Industry giants such as Motorola, General Electric and other improved the quality of their products through a statistically driven, six sigma methodology. Literatures in the six sigma performance measurement and improvement in industry, as well as traditional coaching in sports had been extensively reviewed. Research was carried out to establish potential application of six sigma in performance measurement and improvement in sports. Results: The six sigma approach was identified as a new method in measuring, analyzing, improving and analyzing sports performance and two examples were given. The methodology was applied on one example of data collected by authors over years of performance of a basketball team. Direction for further studies in the application of six sigma methodology in team and individual performance coaching and management were also identified. Conclusion: The results of this study determined that there is significant potential to successfully introduce the six sigma methodology of measurement, analysis and improvement in athletic performance. This new direction of analysis involved augmenting the existing traditional methods of coaching and performance management with a powerful methodology that clearly identifies root cause of athletic performance level, making it easier for the coach to take decisions and design a successful development plan.

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