enterprise engineering
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2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Louisi Francis Moura ◽  
Edson Pinheiro de Lima ◽  
Fernando Deschamps ◽  
Dror Etzion ◽  
Sergio E. Gouvea da Costa

PurposeThis conceptual paper presents a proposal for improving a performance measurement (PM) system implementation process based on enterprise engineering (EE) guidelines, which gives the process a sense of completeness.Design/methodology/approachThis paper analyzes a well-known process for PM systems implementation organized in two phases: identifying, designing and implementing the top-level performance measures; and cascading the top-level measures and identify appropriate lower-level performance measures. The proposed improvements to the studied process derive from the EE guidelines, which establish a basis for the structure of an organizational management system, the formalization and synchronization of processes, performance expectations, exception handling and change management.FindingsThe study reveals that not all EE guidelines are covered by the analyzed process, with four of them having no evidence of being adopted: involvement of people in process design and implementation; ensuring interoperability between different systems in the information structure; addressing of all possible exceptions; coherence and consistency of semantics across all processes.Originality/valueBy the lens of EE guidelines, this paper advances a how-to-guide. This paper can support managers and researchers on PM system design and implementation, given the importance and relevance of EE recommendations having a consistent and well-structured procedure.


2021 ◽  
Vol 2021 (3) ◽  
pp. 50-53
Author(s):  
Nadirbek Yusupbekov ◽  
◽  
Valery Tarasov ◽  
Shukhrat Gulyamov ◽  
Fahritdin Abdurasulov ◽  
...  

The fundamental scientific problem of the development of the mathematical foundations of engineering for industrial enterprises and the development of mathematical methods of production management, as well as the creation of intelligent systems for coordinated management of the life cycles of products and production in the network of enterprises are discussed. The issues in demand in the development of a vast interdisciplinary field of enterprise engineering and the development of modern network enterprises and intelligent production using mathematical modeling methods are discussed.


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