Modeling, analysis and continuous improvement of food production systems: A case study at a meat shaving and packaging line

The subject and the research objective presented in this article is establishing of the relationship between quality assurance and implementation of cleaner production in the generic pharmaceutical industry through the comprehensive concept of continuous improvement. This is mostly related to application of Lean and Six Sigma tools and techniques for process improvement and their link to other known concepts used in the industrial environment, especially manufacturing of generic pharmaceutical products from which two representative case studies were selected for comparative analysis, also considering relevant regulatory requirements in the field of quality management, as well as appropriate quality standards. Although the methodology discussed in this conceptual and practice oriented article is strongly related to chemical engineering, the focus is mainly on process industry, i.e. production systems, rather than any specific technological process itself. The scope of this research is an engineering approach to evaluation of the production systems in terms of continuous improvement concepts application, considering both quality aspects and efficiency of such systems.

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Sustainable production for more resilient food production systems: case study of African indigenous vegetables in eastern Africa

Acta Horticulturae ◽

10.17660/actahortic.2015.1102.35 ◽

2015 ◽

pp. 289-298 ◽

Cited By ~ 4

Author(s):

S.C. Weller ◽

E. Van Wyk ◽

J.E. Simon

Keyword(s):

Food Production ◽

Production Systems ◽

Sustainable Production ◽

Eastern Africa ◽

African Indigenous Vegetables ◽

Indigenous Vegetables

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Application of OEE for productivity analysis: a case study of a production line from the pulp and paper industry

DYNA ◽

10.15446/dyna.v86n211.79508 ◽

2019 ◽

Vol 86 (211) ◽

pp. 9-16 ◽

Cited By ~ 1

Author(s):

Jairo J .O Andrade ◽

Daniel Dreher Silveira

Keyword(s):

Continuous Improvement ◽

Production Line ◽

Production Systems ◽

Paper Industry ◽

Pulp And Paper Industry ◽

Pulp And Paper ◽

Production Costs ◽

Productivity Analysis ◽

Quality Performance

The overall equipment effectiveness (OEE) is an indicator used in the management and continuous improvement of production systems, and is useful in identifying losses, thus reducing production costs. By analyzing the results of this indicator, the operation manager must make decisions to eliminate or reduce losses in the process. This study investigated the application of the OEE indicator in one production line in the pulp and paper industry. The implementation of OEE was performed in stages with a detailed analysis of the indicators that compose the OEE (quality, performance, and availability) to identify possible improvements. Thus, actions were implemented to improve the OEE quality index. This study provided important information that enabled the operation manager to diagnose and minimize the occurrence of failures and losses, which is often hidden and unknown to those involved in the production system.

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Continuous Productivity Improvement Using IoE Data for Fault Monitoring: An Automotive Parts Production Line Case Study

Sensors ◽

10.3390/s21217366 ◽

2021 ◽

Vol 21 (21) ◽

pp. 7366

Author(s):

Yuchang Won ◽

Seunghyeon Kim ◽

Kyung-Joon Park ◽

Yongsoon Eun

Keyword(s):

Monitoring System ◽

Continuous Improvement ◽

Production System ◽

Production Line ◽

Production Systems ◽

Productivity Improvement ◽

Fault Monitoring ◽

Line Configuration ◽

Automotive Parts

This paper presents a case study of continuous productivity improvement of an automotive parts production line using Internet of Everything (IoE) data for fault monitoring. Continuous productivity improvement denotes an iterative process of analyzing and updating the production line configuration for productivity improvement based on measured data. Analysis for continuous improvement of a production system requires a set of data (machine uptime, downtime, cycle-time) that are not typically monitored by a conventional fault monitoring system. Although productivity improvement is a critical aspect for a manufacturing site, not many production systems are equipped with a dedicated data recording system towards continuous improvement. In this paper, we study the problem of how to derive the dataset required for continuous improvement from the measurement by a conventional fault monitoring system. In particular, we provide a case study of an automotive parts production line. Based on the data measured by the existing fault monitoring system, we model the production system and derive the dataset required for continuous improvement. Our approach provides the expected amount of improvement to operation managers in a numerical manner to help them make a decision on whether they should modify the line configuration or not.

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Food production and service in UK hospitals

International Journal of Health Care Quality Assurance ◽

10.1108/ijhcqa-07-2013-0092 ◽

2015 ◽

Vol 28 (1) ◽

pp. 40-54 ◽

Cited By ~ 4

Author(s):

Mohamed Ahmed ◽

Eleri Jones ◽

Elizabeth Redmond ◽

Mahmoud Hewedi ◽

Andreas Wingert ◽

...

Keyword(s):

Food Production ◽

Production Systems ◽

Public Hospitals ◽

Value Stream Mapping ◽

High Quality ◽

Content Type ◽

Value Stream ◽

The Uk ◽

Embedded Case Study

Purpose – The purpose of this paper is to apply value stream mapping holistically to hospital food production/service systems focused on high-quality food. Design/methodology/approach – Multiple embedded case study of three (two private-sector and one public-sector) hospitals in the UK. Findings – The results indicated various issues affecting hospital food production including: the menu and nutritional considerations; food procurement; food production; foodservice; patient perceptions/expectations. Research limitations/implications – Value stream mapping is a new approach for food production systems in UK hospitals whether private or public hospitals. Practical implications – The paper identifies opportunities for enhancing hospital food production systems. Originality/value – The paper provides a theoretical basis for process enhancement of hospital food production and the provision of high-quality hospital food.

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Phosphorus: Past History and Contributions to the Global Food Supply

10.24047/bc10316 ◽

2019 ◽

Vol 103 (1) ◽

pp. 6-8 ◽

Cited By ~ 1

Author(s):

Terry Roberts

Keyword(s):

Food Security ◽

Food Supply ◽

Food Production ◽

Production Systems ◽

Past History ◽

Phosphate Fertilizer ◽

Global Food ◽

Global Food Supply

Since its early rudimentary forms, phosphate fertilizer has developed in step with our understanding of successful food production systems. Recognized as essential to life, the responsible use P in agriculture remains key to food security.

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MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

Proceedings of the Design Society ◽

10.1017/pds.2021.474 ◽

2021 ◽

Vol 1 ◽

pp. 2127-2136

Author(s):

Olivia Borgue ◽

John Stavridis ◽

Tomas Vannucci ◽

Panagiotis Stavropoulos ◽

Harry Bikas ◽

...

Keyword(s):

Additive Manufacturing ◽

Manufacturing Systems ◽

Production Systems ◽

Data Generation ◽

Production Networks ◽

Model Based ◽

Manufacturing Technologies ◽

Am Processes ◽

Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

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