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Abstract: Supplier evaluation and selection is essential to any organization, and planning an effective and comprehensive approach to that end seems inevitable. Meanwhile, determining the requisite criteria for evaluating and selecting suppliers is probably one of the most important steps to be taken towards developing an evaluation and selection model in the organization. In this article, first a review of the literature on the criteria and the field of supplier evaluation and selection are provided. These criteria are then placed into proper categories. In order to formulate a supplier evaluation and selection framework for the manufacturing organization under study, the implemented categorization is applied where a list of fifteen attributes and performance criteria is created; where upon it is secured with the help of a designated panel (project team). These features are then screened using Lawshe's method the "social attribute" is removed from the list of fifteen. The remaining 14 other criteria are configured within the SEAP (Suppliers Evaluation based on Attributes and Performances) framework. The framework follows the objective of continually evaluating suppliers, both potential and actual ones through incorporating their performances into their qualification ratings. Based on the proposed framework, suppliers are evaluated on the basis of two types of criteria, - feature (attribute) and performance.
Keywords: framework, supplier evaluation, supplier selection, criteria, performance measurement, attributes, Lawshe's method
Published in DKUM: 22.08.2024; Views: 68; Downloads: 2
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Abstract: When introducing new technologies, companies are repeatedly faced with choosing between solutions from different providers. Regardless of all the good technical characteristics of the technology, if it is chosen inappropriately, it can prove to be a cost driver instead of something that brings added value to the system. Aware of this, we considered selecting a real-time location system (RTLS) based on Ultra-wideband technology in the indoor work environment. In practice and theory, it has been proven that the introduction of the RTLS can have highly positive effects on performance and business sustainability indicators. When reviewing the literature, it was noticed that authors solely focus on the technical properties of the systems and prices when giving guidelines on selecting the optimal RTLS. This article aims to provide advanced guidelines for UWB RTLS selection, proposing a phased selection process which is the main novelty proposed and investigated in this research. The guidelines are based on fragmented recommendations in the scientific literature that have been identified, gathered, considered, and reasonably allocated to the advanced performance-oriented phased selection process. In practice, this approach enables decision-makers to choose the most efficient and most appropriate UWB RTLS for specific logistics systems.
Keywords: decision-making, location data, RTLS, UWB, technology selection
Published in DKUM: 04.07.2024; Views: 135; Downloads: 11
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Keywords: Parkinson's disease, feature selection, voice recognition, artificial neural networks
Published in DKUM: 03.01.2019; Views: 1895; Downloads: 386
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Abstract: The presented paper gives an insight into a prototype of intelligent advisory system based on the aesthetic and ergonomic factors regarding product design, with emphasis on appurtenant design recommendations. The paper focuses on methodology of determining appropriate combination of ergonomic and aesthetic design actions during product design to achieve pleasant user experience. Along with products' function, ergonomics and aesthetics certainly belong to the most important design factors that affect user experience. In the field of ergonomics not only anthropometrical characteristics of prospective user are important. It is also of significant importance to select appropriate material for contact areas in order to assure comfortable and injury free use. Presented theoretical findings are supported with case study of hand tool handle design using intelligent advisory system Oscar.
Keywords: aesthetics, ergonomics, intelligent support, material selection, product design
Published in DKUM: 12.07.2017; Views: 1117; Downloads: 219
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Abstract: The most common assumption in evolutionary game theory is that players should adopt a strategy that warrants the highest payoff. However, recent studies indicate that the spatial selection for cooperation is enhanced if an appropriate fraction of the population chooses the most common rather than the most profitable strategy within the interaction range. Such conformity might be due to herding instincts or crowd behavior in humans and social animals. In a heterogeneous population where individuals differ in their degree, collective influence, or other traits, an unanswered question remains who should conform. Selecting conformists randomly is the simplest choice, but it is neither a realistic nor the optimal one. We show that, regardless of the source of heterogeneity and game parametrization, socially the most favorable outcomes emerge if the masses conform. On the other hand, forcing leaders to conform significantly hinders the constructive interplay between heterogeneity and coordination, leading to evolutionary outcomes that are worse still than if conformists were chosen randomly. We conclude that leaders must be able to create a following for network reciprocity to be optimally augmented by conformity. In the opposite case, when leaders are castrated and made to follow, the failure of coordination impairs the evolution of cooperation.
Keywords: cooperation, public goods, selection, physics of social systems
Published in DKUM: 23.06.2017; Views: 950; Downloads: 415
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