A novel approach to measure engineering efficiency of automation projects

Gutermuth, Georg; Schroeter, Ben; Drath, Rainer; Li, Nuo; Messinger, Christian

doi:10.1109/etfa.2014.7005087

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…For each specific manufacturing process, the MES should be customized since it connected directly to the shop floor [26]. Consequently, the engineering costs of MES primarily arise from the programming effort for the customization, for example, the functionality of MES and the plants must be correspondingly adapted, and the interfaces of MES and programmable logic controllers (PLC) must be established [27,28]. Instead of MES, many SMEs still use cheap but error-prone IT systems to provide some of the functionality of MES, such as KPI calculation and detailed production scheduling with spreadsheet programs [28].…”

Section: Model-driven Engineering Of the Mesmentioning

confidence: 99%

A model-driven approach for engineering customizable MES with the application to the food and beverage industry

Chen

Nophut

Voigt

2021

Int J Adv Manuf Technol

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The Manufacturing Execution System (MES) is a process-oriented IT solution collecting and managing information from the shop floor manufacturing processes. Because of the programming and customization effort required for specific production processes, the MES implementation is not widespread in the food and beverage industry, as most food and beverage manufacturers are small- and medium-sized enterprises with limited resources to invest in MES. For engineering the MES that should be customized according to the target production processes, a model-driven approach has been presented in this paper with six phases covering the entire lifecycle of the MES engineering process. By using this approach, MES can be automatically generated and sustainably improved, which has the potential to reduce the complexity of implementation as well as the resources required for the engineering of customizable MES. Based on two use cases in the processing and packaging areas in the food and beverage industry, the feasibility and practicality of the presented approach have been proven.

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Section: Model-driven Engineering Of the Mesmentioning

confidence: 99%