Innovation, knowledge management, and organizational learning
mojtaba mohamadjkhani; Reza Radfar; nazanin Pilevarisalmasi; mohamadali afsharkazemi
Abstract
In the past, companies relied only on internal intellectual resources and tried to develop and commercialize ideas within the organization. The open innovation approach leads companies to make more use of external technologies in their activities and allows other companies to use their innovations. Open ...
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In the past, companies relied only on internal intellectual resources and tried to develop and commercialize ideas within the organization. The open innovation approach leads companies to make more use of external technologies in their activities and allows other companies to use their innovations. Open innovation methods have a high diversity, but each economic enterprise should use one or more methods compatible with the company's situation according to its conditions. In the current research, a network-based fuzzy inference system has been used as one of the methods of artificial intelligence and MATLAB software to choose the appropriate method of open innovation in the automotive industry. For this purpose, 2 inputs under the title of company's technical knowledge level and the complexity of parts technology and 9 possible modes for the output including all kinds of open innovation methods are considered in the fuzzy inference system so that by using the existing rules, a technique suitable to the company's conditions can be extracted. In this research, 50% of the data were considered training data for model design, and 50% of the data were considered test data for model evaluation. The designed model selected open innovation methods with 90% accuracy. Therefore, the presented model is a suitable tool for choosing the open innovation method for the automotive industry.
Innovation, knowledge management, and organizational learning
Tulus Puji Ruswanto; Dana Santoso Saroso
Abstract
In August 2016, IATF issued the new requirement of quality management system IATF 16949. With these new requirements, the automotive industry that is willing to migrate to the new version will face some challenges. The main challenge comes from the need to re-map the business processes that are needed ...
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In August 2016, IATF issued the new requirement of quality management system IATF 16949. With these new requirements, the automotive industry that is willing to migrate to the new version will face some challenges. The main challenge comes from the need to re-map the business processes that are needed for the internal audit. The other challenges are the readiness of the quality of the internal auditors, measure gaps, and predict the success of the certification audits. This research is based on a case study at one of the automotive manufacturing company. A framework for measuring the gap analysis of the compliance based on the automotive standards requirements (IATF 16949: 2016) through an internal quality audit score has presented in this research. The analysis has done by using a turtle diagram for risk analysis and follows by a survey on an internal quality auditor’s perception. Based on the analysis, it can be determined which processes need to be audited. The research has found that there are 32 processes in the company which is needed to be an audit. The survey has indicated that internal quality auditor is ready with the new requirement of the quality management system. The internal audit’s result with a weighted score shows the level that can be achieved by the company to fulfill the standard IATF 16949:2016. The gap that has shown in the spider chart depicts that an automotive manufacturing company will be able to passe the certification audit.