Integrating a shrimp-growth function, farming skills information, and a supply allocation algorithm to manage the shrimp supply chain

Pathumnakul, Supachai; Piewthongngam, Kullapapruk; Khamjan, Sakda

doi:10.1016/j.compag.2008.12.008

Cited by 20 publications

(8 citation statements)

References 34 publications

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“…In the farm stage, the live weight information can be used to estimate the animal growth, uniformity, feed conversion efficiency, and disease occurrence (Menesatti et al, 2014). Animal-based food products are usually related to the sizes of the animals that are used in production, e.g., shrimp products are processed from different shrimp sizes, which are expressed in terms of the number of shrimp per pound or per kilogram (Pathumnakul et al, 2009), and pork-based products are processed from various pig primal cuts and their sizes (Khamjan et al, 2013). In swine supply chain management, matching suitable size pigs to the food products during the slaughtering and food processing stages could improve the production efficiency by reducing the raw material procurement, inventory, shortage and perished costs.…”

Section: Introductionmentioning

confidence: 99%

An approach based on digital image analysis to estimate the live weights of pigs in farm environments

Wongsriworaphon

Arnonkijpanich

Pathumnakul

2015

Computers and Electronics in Agriculture

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Section: Introductionmentioning

confidence: 99%

An approach based on digital image analysis to estimate the live weights of pigs in farm environments

Wongsriworaphon

Arnonkijpanich

Pathumnakul

2015

Computers and Electronics in Agriculture

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“…Methods for assessing the live weight of swine are of great importance from several perspectives and have been widely studied and applied. Animal-predicated food products are customarily related to the ages of the animals that are utilized in their production, e.g., shrimp products (Pathumnakul, Piewthongngam et al, 2009) and pork products (Khamjan, et al, 2013;Plà-Aragonés and Rodríguez-Sánchez 2015).…”

Section: Introductionmentioning

confidence: 99%

Swine live weight estimation by adaptive neuro-fuzzy inference system

Shen

Okinda

Liu

et al. 2017

IJAR

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Swine live weight is an important aspect in the production of pork products and also to Stockmen, with reference to market costs, feed conversion, and animal health. The objective of this study was to develop a contactless, stress-free method of swine live weight estimation by machine vision technology. This novel approach was based on image processing for features extraction and Adaptive Neuro-Fuzzy Inference System (ANFIS) for modelling. Firstly, the model determines which input combination holds the highest predictive ability, secondly, used the feature combination with the best predictive power to correlate to live-weight. The test results showed that the average relative error of our proposed system was about 3% and a standard deviation of 0.7%. Thus, development of a practical imaging system for swine live weight estimation by the proposed method is feasible.

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“…Pathumnakul et al [14] researched coordination problems of shrimp supply chain in Thailand by using historical data to fit the growth function of shrimp. Xiao et al [15] studied pricing strategy of seasonal products with many quality levels.…”

Section: Introductionmentioning

confidence: 99%

Incentive Decision on Safety Investment of Supply Chain of Agricultural Products in “Agricultural Super-Docking”

Tang

Weimin

Jiang

et al. 2014

Journal of Applied Mathematics

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Since the "agriculture super-docking" mode was introduced in China in 2007, remarkable success has been made in reducing the transaction cost and improving the quality safety of agricultural products. However, the quality safety issues of agricultural products still occur frequently because both specialized farmers' cooperatives and supermarkets have insufficient safety investment. In order to study the necessity, goal, and incentive decision schemes of safety investment in "agriculture super-docking" supply chain, three kinds of models, which include noncooperatives distributed decision-making model, centralized decision-making model, and incentive coordination models led by cooperatives and supermarkets, are, respectively, set up in this paper. Conclusions are drawn as follows: when making the uncooperative decentralized decision, both cooperatives and supermarkets have the moral risks to decrease the safety investment, but appropriate measures can achieve the coordination of the supply chain; when achieving the coordination of supply chain, the two contacts under the guidance of cooperatives and supermarkets are the same, and the schemes of distributing profits are also the same. Moreover, a practical case is given to improve the effectiveness and feasibility of the incentive decision schemes.

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Integrating a shrimp-growth function, farming skills information, and a supply allocation algorithm to manage the shrimp supply chain

Cited by 20 publications

References 34 publications

An approach based on digital image analysis to estimate the live weights of pigs in farm environments

An approach based on digital image analysis to estimate the live weights of pigs in farm environments

Swine live weight estimation by adaptive neuro-fuzzy inference system

Incentive Decision on Safety Investment of Supply Chain of Agricultural Products in “Agricultural Super-Docking”

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