Search Results - subject:"Process Optimization"

Robotic Process Automation (RPA) - Digitization and Automation of Processes : Prerequisites, functionality and implementation using accounting as an example

Langmann, Christian; Turi, Daniel - 2022

This book provides a practice-oriented overview of the necessary prerequisites, better operating model, and the individual steps for the successful introduction of Robotic Process Automation (RPA) and Intelligent process Automation (IPA). In addition to theoretical basics, practical examples...

Persistent link: https://www.econbiz.de/10013503482

Maximizing CSR impact : leveraging artificial intelligence and process optimization for sustainability performance management

Khan, Ali Nawaz; Mehmood, Khalid; Ali, Ahsan - In: Corporate social responsibility and environmental management 31 (2024) 5, pp. 4849-4861

Persistent link: https://www.econbiz.de/10015101059

An innovative agile model of smart lean-green approach for sustainability enhancement in industry 4.0

Tripathi, Varun; Chattopadhyaya, Somnath; Mukhopadhyay, … - In: Journal of Open Innovation: Technology, Market, and … 7 (2021) 4, pp. 1-20

floor waste, which is accomplished by a suitable process optimization approach. The process optimization approach is used to … decades on process optimization approaches that include lean manufacturing, smart manufacturing, kaizen, and lean six sigma …

Persistent link: https://www.econbiz.de/10014329474

Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states dur...

Kubik, Christian; Knauer, Sebastian Michael; Groche, Peter - In: Journal of Intelligent Manufacturing 33 (2021) 1, pp. 259-282

In consequence of high cost pressure and the progressive globalization of markets, blanking, which represents the most economical process in the value chain of manufacturing companies, is particularly dependent on reducing machine downtimes and increasing the degree of utilization. For this...

Persistent link: https://www.econbiz.de/10014501910

An innovative agile model of smart lean-green approach for sustainability enhancement in industry 4.0

Tripathi, Varun; Chattopadhyaya, Somnath; Mukhopadhyay, … - In: Journal of open innovation : technology, market, and … 7 (2021) 4, pp. 1-20

Persistent link: https://www.econbiz.de/10012651535

Business process optimization for trauma planning

Tomaskova, Hana; Tirkolaee, Erfan Babaee; Raut, Rakesh … - In: Journal of business research : JBR 164 (2023), pp. 1-19

Persistent link: https://www.econbiz.de/10014303832

Techno-economic assessment of a Synechocystis based biorefinery through process optimization

da Silva, A. Ferreira; Brazinha, C.; Costa, L.; … - In: Energy Reports 6 (2020) 1, pp. 509-514

Similar to oil, biological origin feedstock can be converted into a number of products allowing to recover the maximum value from the raw biological material, within what is nowadays called a biorefinery. Among other biological materials, microalgae are a very interesting biomass due to the high...

Persistent link: https://www.econbiz.de/10012652143

The optimization model for the service process of stomatology department via DES simulation

He, Qiaodan; Huo, Jiazhen; Pan, Yu - In: Cogent Business & Management 7 (2020) 1, pp. 1-14

In recent years, the relationship between doctors and patients is becoming more and more tense. Many hospitals are paying more attention to the satisfaction of patients, because this is an important indicator to measure the quality of hospital services. In China, it is often a case that...

Persistent link: https://www.econbiz.de/10012657169

The optimization model for the service process ofstomatology department via DES simulation

He, Qiaodan; Huo, Jiazhen; Pan, Yu - In: Cogent business & management 7 (2020) 1, pp. 1-14

Persistent link: https://www.econbiz.de/10012621695

Techno-economic assessment of a Synechocystis based biorefinery through process optimization

Silva, A. Ferreira da; Brazinha, C.; Costa, L.; … - In: Energy reports 6 (2020) 1, pp. 509-514

Persistent link: https://www.econbiz.de/10012177254