scholarly journals Manufacturing Execution Systems for the Food and Beverage Industry: A Model-Driven Approach

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2040
Author(s):  
Xinyu Chen ◽  
Christoph Nophut ◽  
Tobias Voigt

Manufacturing Execution Systems (MES) are process-oriented information-technology (IT) solutions for collecting and managing information from manufacturing processes. Due to the individual programming effort and the complex integration with other manufacturing systems, though the food and beverage manufacturers can benefit from the MES, its implementation is not widespread in this industry. To simplify the implementation and engineering process, the concept of model-driven engineering (MDE) is considered as a solution. However, a feasible model-driven approach for MES engineering has not been established, not to mention for the food and beverage industry. This paper presents an approach for the automatic MES generation according to the MDE concept providing MES functions that are relevant to the food and beverage manufacturing processes primarily. It consists of necessary phases to cover the whole engineering process of the MES. Based on the application of the presented approach to the brewing process in a brewhouse, the feasibility and practicality of this approach were proven.

Author(s):  
Xinyu Chen ◽  
Christoph Nophut ◽  
Tobias Voigt

AbstractThe 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.


2016 ◽  
Vol 2 (2) ◽  
pp. 69 ◽  
Author(s):  
Nur Atiqah Rochin Demong ◽  
Abdul Kadir Othman ◽  
Salmi Bawasa

Customer satisfaction is the ultimate aim to food and beverage F&B industry as it ascertains that satisfied customers will stay loyal and reduce the amount of complaints towards their brand of choice. The main purpose of the research is to understand the influencing factors on customer satisfaction towards American brand in F&B industry in Malaysia. Convenience sampling method was used involving the respondents that consist of customers and shoppers within five mega malls in Kuala Lumpur to represent the total population of the study. The researcher used a multiple regression analysis to analyze 384 data from customers. The results indicate a positive and significant influence of all influencing factors (perceived quality, perceived value and Customer Expectation) on customer satisfaction. Customer expectation is seen to be the factor that was highly influential towards satisfaction, followed by perceived quality and perceived value. The implications of the study are discussed in the paper.


2021 ◽  
Vol 13 (9) ◽  
pp. 5109
Author(s):  
Mohammad Agung Saryatmo ◽  
Vatcharapol Sukhotu

In this rapidly developing digital era, digital transformations take place within every industry, and they have effects on the management of the supply chains. The aim of this study is to delve into the influence of the digital supply chain on the quality, productivity, and cost reduction aspects of operational performance. This study relies on quantitative methodology and data collected from the food and beverage industry of Indonesia. Data from a survey comprising a total of 209 responses were selected for investigation. PLS-SEM was used to perform the analysis. The investigation reveals that the digital supply chain has significant effects on operational performance in terms of quality, productivity, and cost reduction performance. This study contributes to the understanding of supply chain management by addressing the knowledge gap associated with the digital supply chain. In particular, it has concentrated on the hitherto unresearched effect of operational performance in the context of the Indonesian manufacturing industry.


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