A systematic review of statistical process control implementation in the food manufacturing industry

Economic Impact of Temperature Control during Food Transportation-A COVID-19 Perspective

Temperature fluctuation and abuse in the food cold chain (FCC) is becoming an increasingly crucial factor in the process of food production and for the logistic business, especially in COVID-19 pandemic. The quality of perishable food products depends largely on accurate transport and maintenance temperature. The evidence for temperature-related food waste and loss is extensive. The research problem is thus: how to decrease and control food losses caused by temperature abuse in the FCC and restrictions due to the COVID-19 pandemic. The primary objective is to propose a framework for real-time temperature measurement protocols supported by passive RFID, IoT and Statistical Process Control (SPC) charts. This method allows not only the signaling of temperature abuse alerts but, in addition to hitherto methods, investigation and mitigation of the causes of process instability of individual FCC links in the future. The secondary objective is to delineate the necessary data sources and ways of their collection and utilization in order to decrease food losses and waste via process stabilization of temperature in transport and storage. As contribution to current literature and practice, we offer an in-depth analysis of threats in the FCC in food transport and storage infrastructure and a solution supplemented by SPC charts and tested in controlled experiments that is practicable from economic and technical standpoints.

Application of statistical process control for monitoring bulk tank milk somatic cell count of smallholder dairy farms

Background and Aim:

Consistency in producing raw milk with less variation in bulk tank milk somatic cell count (BMSCC) is important for dairy farmers as their profit is highly affected by it in the long run. Statistical process control (SPC) is widely used for monitoring and detecting variations in an industrial process. Published reports on the application of the SPC method to smallholder farm data are very limited. Thus, the purpose of this study was to assess the capability of the SPC method for monitoring the variation of BMSCC levels in milk samples collected from smallholder dairy farms.

Materials and Methods:

Bulk tank milk samples (n=1302) from 31 farms were collected 3 times/month for 14 consecutive months. The samples were analyzed to determine the BMSCC levels. The SPC charts, including the individual chart (I-chart) and the moving range chart (MR-chart), were created to determine the BMSCC variations, out of control points, and process signals for each farm every month. The interpretation of the SPC charts was reported to dairy cooperative authorities and veterinarians.

Results:

Based on a set of BMSCC values as well as their variance from SPC charts, a series of BMSCC data could be classified into different scenarios, including farms with high BMSCC values but with low variations or farms with low BMSCC values and variations. Out of control points and signals or alarms corresponding to the SPC rules, such as trend and shift signals, were observed in some of the selected farms. The information from SPC charts was used by authorities and veterinarians to communicate with dairy farmers to monitor and control BMSCC for each farm.

Conclusion:

This study showed that the SPC method can be used to monitor the variation of BMSCC in milk sampled from smallholder farms. Moreover, information obtained from the SPC charts can serve as a guideline for dairy farmers, dairy cooperative boards, and veterinarians to manage somatic cell counts in bulk tanks from smallholder dairy farms.

Rapid Decline in Online Search Queries for Hip and Knee Arthroplasties Concurrent With the COVID-19 Pandemic

BACKGROUND

In response to the coronavirus disease 2019 (COVID-19) pandemic, US hospitals have canceled elective surgeries. This decline in total joint arthroplasty (TJA) revenue may place financial strain on hospitals. Our goal was to quantify the impact of COVID-19 on the public interest in elective TJA.

METHODS

The Google Search Volume Index (GSVI) identified the terms "knee replacement," "hip replacement," and "orthopedic surgeon" as the most common to describe TJA. The term "elective surgery cancellation" was also analyzed. Weekly GSVI data were extracted between 04-01-2015 and 04-04-2020. Time series analysis was conducted and state GSVI values were compared with COVID-19 prevalence and unemployment claims.

RESULTS

The relative public interest in elective TJA has sharply declined since the WHO declaration of COVID-19 as a global pandemic. Between 03-01-2020 and 03-29-2020, the popularity of searches for "knee replacement", "hip replacement," and "orthopedic surgeon" dropped by 62.1%, 52.1%, and 44.3%, respectively. A concurrent spike was observed for the term "elective surgery cancellation." California, New Hampshire, Maine, and Nevada showed a low relative rate for TJA searches, and the highest increase in unemployment claims.

CONCLUSION

The onset of COVID-19 correlates with declining relative popularity of searches related to elective TJA. Higher volume of COVID-19 cases in certain states may correspond with lower relative search popularity, although this correlation remains unclear. These results portend the possibility of a decline in elective TJA case volume, further straining hospitals. Further research is required to inform stakeholders how best to proceed and determine any sustained effects from the current diminished relative interest in TJA.

LEVEL OF EVIDENCE

Level III.

Exploring the Drivers and the Interventions towards Sustainable Food Security in the Food Supply Chain

The sustainability of food security is a global concern, and one of the priorities related to it is the ability to identify effective efforts that can protect food security along the food supply chain (FSC). The present study demystifies the relation of sustainability and food security and structurally identifies the sustainable drivers, and the pragmatic interventions that can critically contribute to the sustainability of food security within each stage of the FSC. A systematic review of articles from six databases was implemented. Thematic analysis was engaged to detect the sustainable drivers and interventions practised at each stage in the FSC for food security purposes. Six main themes of the drivers and interventions were derived from the analysis: food security governance involvement, input resource management, output management, information sharing, income, and technology. The result identifies the potential that quality management has on the mediating effect towards sustainable food security, through which a conceptual model for sustainable food security in the FSC was thus developed. It is deduced that mapping and categorizing the drivers and intervention of sustainable food securities could help deepen the understanding of effective and innovative practices towards food security in the FSC.