High-Quality Business Processes Based on Multi-Dimensional QoS

Author(s):  
Qianhui Liang ◽  
Michael Parkin

An important area of services research gathering momentum is the ability to take a generic business process and instantiate it by selecting services that meet both the functional and non-functional requirements of the process owner. These non-functional or quality-of-service (QoS) requirements may describe essential performance and dependability requirements and apply across different logical layers of the application, from business-related details to system infrastructure; i.e., they are cross-cutting and considered multidimensional. Configuring an abstract business process with the “best” services to meet the process owner’s multidimensional end-to-end QoS requirements is a challenging task as there may be many services that match to the functional requirements but provide differentiated QoS characteristics. In this chapter we explore an approach to discover services, differentiated by their QoS attributes, to configure an abstract business process by selecting an optimal configuration of the “best” QoS combinations. The approach considered takes into account the optimal choice of multi-dimensional QoS variables. We present and compare two solutions based on heuristic algorithms to illustrate how this approach would work practically.

2021 ◽  
Vol 1 (2) ◽  
pp. 118-123
Author(s):  
G. JARROUJ ◽  
◽  
S. HASAN ◽  

Lean and Six Sigma are the two most important methods in assessing the quality of business processes in many industries, helping organizations achieve higher efficiency and improved operational efficiency. Both methods are vital to the hospitality industry, giving hotels a competitive advantage by improving customer service efficiency, leaving guests with a good experience, and providing a high quality of service. By combining these two methodologies, it is possible to anticipate and meet the specific expectations and needs of guests.


Author(s):  
Jorge Cardoso

Business process management systems (BPMSs) (Smith & Fingar, 2003) provide a fundamental infrastructure to define and manage business processes, Web processes, and workflows. When Web processes and workflows are installed and executed, the management system generates data describing the activities being carried out and is stored in a log. This log of data can be used to discover and extract knowledge about the execution of processes. One piece of important and useful information that can be discovered is related to the prediction of the path that will be followed during the execution of a process. I call this type of discovery path mining. Path mining is vital to algorithms that estimate the quality of service of a process, because they require the prediction of paths. In this work, I present and describe how process path mining can be achieved by using data-mining techniques.


Economics ◽  
2021 ◽  
Vol 104 (3-5) ◽  
pp. 146-152
Author(s):  
Rami Aljabali Rami Aljabali

Every business company is profit-oriented. The scale of profit is determined by the effectiveness of the activity, the quality of service provided to customers, speed of service, simplicity and all of the above -is the result of ongoing business-processes in the company. The forced stagnation can occur at any stage of the project development, however, even if it is not so, after a certain period, there always comes a moment, when changes in the work process are inevitable. The prerequisite for the proper writing of business-processes is a thorough knowledge of the ongoing processes in the company and the existence of relevant qualified staff. Because if any link is dropped or misspelled during the business-process cycle, the whole business-process will be wrong and the result will inevitably affect the company's efficiency. The Business-Process optimization has become vital for modern companies, especially in the age of digital technologies. The companies face the new challenges every day, and the modern technologies allow them to achieve their goals easily and at a much lower human or material costs. Keywords: Business-Processes, Optimization, Qualified Staff, Company Efficiency.


Economics ◽  
2021 ◽  
Vol 104 (3-5) ◽  
pp. 146-152
Author(s):  
Salome Imnaishvili Salome Imnaishvili

Every business company is profit-oriented. The scale of profit is determined by the effectiveness of the activity, the quality of service provided to customers, speed of service, simplicity and all of the above -is the result of ongoing business-processes in the company. The forced stagnation can occur at any stage of the project development, however, even if it is not so, after a certain period, there always comes a moment, when changes in the work process are inevitable. The prerequisite for the proper writing of business-processes is a thorough knowledge of the ongoing processes in the company and the existence of relevant qualified staff. Because if any link is dropped or misspelled during the business-process cycle, the whole business-process will be wrong and the result will inevitably affect the company's efficiency. The Business-Process optimization has become vital for modern companies, especially in the age of digital technologies. The companies face the new challenges every day, and the modern technologies allow them to achieve their goals easily and at a much lower human or material costs. Keywords: Business-Processes, Optimization, Qualified Staff, Company Efficiency.


2018 ◽  
Vol 7 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Imam Mukhlash ◽  
Widya Nilam Rumana ◽  
Dieky Adzkiya ◽  
Riyanarto Sarno

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.


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