Excavating a goldmine

1993 ◽  
Vol 3 (5) ◽  
pp. 27-28
Author(s):  
J. Harvey

Briefly explains the use of a new process called “business improvements through customer insight”, designed to aid the measurement of customer requirements at all stages of the service process.

2020 ◽  
Vol 10 (20) ◽  
pp. 7311
Author(s):  
Xuequan Zhou ◽  
Gregory Zacharewicz ◽  
David Chen ◽  
Dianhui Chu

With the emergence and development of servitization, more and more enterprises are turning from product focus to service focus. Service is customer-oriented, and driven by customer requirements. Value is the goal pursued by all actors in the service. In order to analyze the mechanism of multi-actor collaborative value creation in the service process, this paper proposes a method for building a service process value model, based on process mining. Driven by the raw data and an event log of service activities and processes in the real world, stored in the service system, the method uses process mining techniques and combines domain knowledge to describe the construction steps of the service process value model at the conceptual level. We focus on the specific processes and activities in the service, and mainly consider the value creation of the activity. The model proposed in this paper aims, to reflect how service actors co-create value in the actual execution of service processes, and to help service actors achieve their value goals. We use a case study inspired by an industrial case to validate our idea. Moreover, we develop a new plug-in, based on the α-algorithm for ProM, to realize the model construction in the case study.


1916 ◽  
Vol 114 (9) ◽  
pp. 225-225
Author(s):  
Robert G. Skerritt
Keyword(s):  

1919 ◽  
Vol 120 (25) ◽  
pp. 650-651
Author(s):  
E. F. Cone
Keyword(s):  

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Lance Clarence ◽  
Wan Muhammad Noor Sarbani Mat Daud

In the competition among organization on the global market, no organization will tolerate losses. Overall Equipment Effectiveness (OEE) overall is a new process in which the efficiency of a system is calculated and complicated manufacturing issues are truly simplified to simple and intuitive knowledge delivery. It thinks about the exceptionally important measures of productivity. An endeavour has been done to measure and analyse existing Overall Equipment Effectiveness (OEE) at company Kirino in hope to reduce unplanned downtime losses on equipment failure and tooling damage to maximize the productivity. The methods used to analyse these various causes were analysis tools and Intelligence Systems. After knowing the causes of various activities that leads to high rates of defects, then recommendations for improvements that could be used by company Kirino were ready to be made using intelligent system as a medium of solution


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