System dynamics modelling of an integrated pig production supply chain

Piewthongngam, Kullapapruk; Vijitnopparat, Prasert; Pathumnakul, Supachai; Chumpatong, Sawvapark; Duangjinda, Monchai

doi:10.1016/j.biosystemseng.2014.08.007

Cited by 19 publications

(8 citation statements)

References 41 publications

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“…Some previous studies used system dynamics approach to analyze a complex system. Some of them were applied on agricultural system, such as: dynamic model of farm management (Ariadi et al 2014); eco-agriculture system (Li et al 2012); organic farming in Slovenia (Paz & Kljajic 2013); integrated pig production supply chain (Piewthongngam & Vijitnopparat 2014). System dynamics modeling was also applied on the integrated assessment of sustainable marine cage culture (Château et al 2015).…”

Section: Cassava Agribusiness Involves Thousands Of People Inmentioning

confidence: 99%

Using System Dynamics Approach in Modeling the Integrated Farming Scenario to Increase Cassava Production in Indonesia

Ariadi¹,

Karmana²,

Rochdiani³

et al. 2016

IJCA

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This research was focused on integrated farming system and usage of system dynamic approach. This research was done in Trenggalek District, East Java Province, Indonesia. It used secondary data, and supported by primary one. Modeling and making policy scenario used system dynamics approach. The model fit was examined by Theil test. Modeling with system dynamics approach is effective to create a complex model of IFS, because the model behavior is similar with those of the real-world. The model also could be used to simulate policy scenarios and estimate the future performance of the model. The scenario done was a policy of technology innovation namely optimal production with the environmental awareness. This scenario focuses on using organic fertilizer in cassavagoats integrated farming; it is quite effective and can decrease farming cost as much as 27.75% up to 34.36%. The scenario needs introduction of composting technology and availability of the facilities and infrastructure. Therefore, the implementation needs supports from stakeholder, i.e. government and society, as well as public and private sectors.

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Section: Cassava Agribusiness Involves Thousands Of People Inmentioning

confidence: 99%

Using System Dynamics Approach in Modeling the Integrated Farming Scenario to Increase Cassava Production in Indonesia

Ariadi¹,

Karmana²,

Rochdiani³

et al. 2016

IJCA

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“…Ref. [32] developed a system dynamics model as a tool for managing and visualizing changes in pig population. The model can be used to simulate the expansion and contraction of the pig population with the influencing factors such as increasing the number of sows.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Model and Related Index of Pig Population in China

Zhang

Wang

2021

Symmetry

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The systematic and reasonable prediction of pig population is the basis for balance and symmetry between the supply and demand of hogs, which is of great significance to the pig industry. Based on the population prediction model and according to the principle of pig months transfer, this paper referred to the modeling principle and method of the discrete population quantity prediction model and established a related index model that can reflect the pig population development process. The forecasting model we have established includes the following models: (a) a recursive model of pig population, (b) an estimation model of new kept piglets and breeding sows in each month, (c) an estimation model of the initial state of the quantity of the pig population, and (d) a related index model to calculate pig population. On this basis, an example calculation was made to predict the monthly pig population and the quantitative distribution of pigs with different age groups in China from January 2016 to March 2018 in the future. The results showed that the forecasting model of pork supply based on the prediction of pig population is an effective perspective to study the future quantity of pork supply. In the fitting stage, the relative error of the number of slaughtered fattened hogs was 0.0332 and 0.0368. In the prediction stage, the relative error of the quantity of pork supply was 0.0618 and 0.0578.

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“…In addition, the perishability and short shelf life of agriculture products create uncertainty for the buyer with respect to product quality, safety, and supply reliability, which leads to vulnerability in coordination among stakeholders in the brand value chain. Traditional methodologies cannot solve these problems, so we employ the system dynamics (SD) methodology, well known and proven in strategic decision-making, as the major modeling and analysis tool in this research [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

The Dynamics of Brand-Driven Quality Improvement Decision-Making in Multi-Small-Supplier Agri-Food Supply Chain: The Case of China

et al. 2021

Sustainability

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This paper develops a system dynamics framework for the closed-loop agri-food brand supply chain (AFBSC) with multiple small farmer suppliers and one core brand manufacturer, and investigates the influences of various factors including brand effort, quality elasticity, price elasticity, revenue sharing, and the number of suppliers on the system behavior. The results show: (i) food quality is determined by all farmer suppliers, who might choose hitchhiking with the prisoner’s dilemma game in a decentralized decision-making mode; (ii) brand effort to improve brand value for food quality is mainly made by the core brand manufacturer, who presents a goal-seeking system dynamics (SD) manner with oscillation behavior around the expected quality of consumers; (iii) whether farmer suppliers or brand manufacturers, the centralized decision-making mode is more useful for them to increase revenue than the decentralized one; furthermore, the shared centralized decision-making mode is most useful for them to obtain more revenue, and the brand manufacturer is still the biggest beneficiary.

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System dynamics modelling of an integrated pig production supply chain

Cited by 19 publications

References 41 publications

Using System Dynamics Approach in Modeling the Integrated Farming Scenario to Increase Cassava Production in Indonesia

Using System Dynamics Approach in Modeling the Integrated Farming Scenario to Increase Cassava Production in Indonesia

Forecasting Model and Related Index of Pig Population in China

The Dynamics of Brand-Driven Quality Improvement Decision-Making in Multi-Small-Supplier Agri-Food Supply Chain: The Case of China

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