Using a Six Sigma Fishbone Analysis Approach To Evaluate the Effect of Extreme Weather Events on Salmonella Positives in Young Chicken Slaughter Establishments

Evaluating the supply chain information flow in Egyptian SMEs using Six Sigma

Purpose

There is a great deal of concern among the Egyptian economy that small- and medium-sized enterprises’ (SMEs’) potentials are not fully used although they dominate it and contribute to its success. The question is what challenges are preventing those SMEs from performing efficiently. This research aims to focus on examining the issues regarding the supply chain of Egyptian SMEs, exploring the areas that need improvement and assessing the impact of technology in enhancing their performance and whether they afford applying it.

Design/methodology/approach

In this research, semi-structured interviews were conducted at 14 Egyptian SMEs. Then, the business process at six of the fourteen SMEs was observed. After that, a representative sampling was applied and a company was chosen as a representative case company. Moreover, the selected company’s documents were analyzed to capture the full image of the current supply chain performance in Egyptian SMEs. Finally, the Six Sigma DMAIC approach was used to assess the effectiveness of the current supply chain and identify the problems faced and how to deal with these deficiencies.

Findings

The current process of the supply chain was analyzed and the result shows the obstacles and constrains facing SMEs in Egypt. Despite the clear benefits of radio frequency identification (RFID) technology, Egyptian SMEs still do not use it to solve their problems due to its high cost and their low budgets. However, the investigation concludes that SMEs in particular can benefit from the RFID technology and will be able to pay back the cost of the system applied after a certain period of time that is measured by calculating the breakeven point of having the RFID system against the current situation. As a result, improvements were realized and recommended for the organization.

Originality/value

This research develops a model that suits SMEs in the Egyptian market. The use of a case study approach with a quality measurement tool, namely, the Six Sigma DMAIC approach, especially after surveying several SMEs, and observing the business process at some of them, makes this a thorough investigation which proves that even SMEs can use the RFID technology despite its high cost that hinders its utilization. Thus, this research helps decision-makers in Egyptian SMEs make better informed decisions and guides them to when will they be able to pay back the cost of the system applied.

Dairy Safety Prediction Based on Machine Learning Combined with Chemicals

Background:

Dairy safety has caused widespread concern in society. Unsafe dairy products have threatened people's health and lives. In order to improve the safety of dairy products and effectively prevent the occurrence of dairy insecurity, countries have established different prevention and control measures and safety warnings.

Objective:

The purpose of this study is to establish a dairy safety prediction model based on machine learning to determine whether the dairy products are qualified.

Methods:

The 34 common items in the dairy sampling inspection were used as features in this study. Feature selection was performed on the data to obtain a better subset of features, and different algorithms were applied to construct the classification model.

Results:

The results show that the prediction model constructed by using a subset of features including “total plate”, “water” and “nitrate” is superior. The SN, SP and ACC of the model were 62.50%, 91.67% and 72.22%, respectively. It was found that the accuracy of the model established by the integrated algorithm is higher than that by the non-integrated algorithm.

Conclusion:

This study provides a new method for assessing dairy safety. It helps to improve the quality of dairy products, ensure the safety of dairy products, and reduce the risk of dairy safety.