Finding Traceability Granularity Influencing Factors Using Rough Set Method: An Empirical Analysis of Vegetable Companies in Tianjin City, China

The effectiveness evaluation of the traceability system (TS) is a tool for enterprises to achieve the required traceability level. It plays an important role not only for planning system implementation before development but also for analyzing system performance once the system is in use. In the present work, we evaluate traceability granularity using a comprehensive and quantifiable model and try to find its influencing factors via an empirical analysis with 80 vegetable companies in Tianjin, China. We collect granularity indicators mostly through the TS platform to ensure the objectivity of the data and use the TS granularity model to evaluate the granularity score. The results show that there is an obvious imbalance in the distribution of companies as a function of score. The number of companies (21) scoring in the range (50,60) exceeded the number in the other score ranges. Furthermore, the influencing factors on traceability granularity were analyzed using a rough set method based on nine factors pre-selected using a published method. The results show that the factor "number of TS operation staff" is deleted because it is unimportant. The remaining factors rank according to importance as follows: Expected revenue > Supply chain (SC) integration degree > Cognition of TS > Certification system > Company sales > Informationization management level > System maintenance investment > Manager education level. Based on these results, the corresponding implications are given with the goal of (i) establishing the market mechanism of high price with high quality, (ii) increasing government investment for constructing the TS, and (iii) enhancing the organization of SC companies.

Effects of Amino Acids and Overexpression of dapA Gene on the Production of ε-Poly-L-lysine by Streptomyces diastatochromogenes Strains

In this study, the strain Streptomyces diastatochromogenes 6#-7, which efficiently synthesizes ε-Poly-L-lysine, was studied and the effects of 18 amino acids and overexpression of dapA gene on the fermentation efficiency of ε-PL by S. diastatochromogenes were investigated. It was shown that L-proline, L-lysine, L-isoleucine, and L-threonine could promote the production of ε-PL. Moreover, the overexpression of the dihydrodipicolinate synthase gene (dapA) helped improve the fermentation performance of S. diastatochromogenes. The maximum ε-PL yield of the overexpressing strain (S. diastatochromogenes 12#-2) increased by 17.5% compared with the original strain in 500 mL shake flask. When the fermentation was conducted in a 5-L fermenter, the fermentation duration was extended by 48 h, and ε-PL yield reached 30.54 g/L, which was a 19.8% increase compared to the original strain. The results of this study offered a promising approach to augment the production of ε-PL from Streptomyces, thus paving the way to reduce the cost of product ε-PL and enhance the fermentation efficiency of ε-PL production.