A deterministic mathematical model to support temporal and spatial decisions of the soybean supply chain

Reis, Silvia Araújo dos; Leal, José Eugênio

doi:10.1016/j.jtrangeo.2015.01.005

Cited by 36 publications

(26 citation statements)

References 27 publications

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“…It should also be noted that mathematical models are found in other areas of the agricultural supply chain as demonstrated by those focusing on distribution (Broekmeulen, 1998;Cholette, 2007;Rantala, 2004), packaging (Blanco et al, 2005;Davis et al, 2002), storage (Starbird, 1988), and the complete production and logistics planning process (Kopanos et al, 2012;Amorim et al, 2012;Yu and Nagurney, 2013). The use of similar models also applies to other agricultural sectors including soybeans (Reis and Leal, 2015), pork (Rodríguez et al, 2014), and sugar cane (Jena and Poggi, 2013). In addition, numerous sources have used mathematical models to justify agricultural policy changes as demonstrated by Gomez y Paloma et al…”

Section: Theorymentioning

confidence: 96%

Use of MIP for planning temporary immigrant farm labor force

Wishon

Villalobos

Mason

et al. 2015

International Journal of Production Economics

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Section: Theorymentioning

confidence: 96%

Use of MIP for planning temporary immigrant farm labor force

Wishon

Villalobos

Mason

et al. 2015

International Journal of Production Economics

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“…They have tested the model on single small size problem instance and results were not compared with other evolutionary algorithms. A deterministic mathematical model was proposed by Reis and Leal (2015) for optimization of tactical decisions of soybean supply chain in Brazil. Lamsal, Jones and Thomas (2016) dealt with the problem of minimization of a number of trucks entailed for transportation of harvested crops from field to storage point under the scenario of several independent farmers and absence of on-farm storage.…”

Section: Related Workmentioning

confidence: 99%

An MINLP model to support the movement and storage decisions of the Indian food grain supply chain

Mogale

Kumar

Tiwari

2018

Control Engineering Practice

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2018. An MINLP model to support the movement and storage decisions of the Indian food grain supply chain. Control Engineering Practice 70 , pp. Abstract:This paper addresses the novel three stage food grain distribution problem of Public Distribution System (PDS) in India which comprises of farmers, procurement centers, base silos and field silos. The Indian food grain supply chain consists of various activities such as procurement, storage, transportation and distribution of food grain. In order to curb transportation and storage losses of food grain, the Food Corporation of India (FCI) is moving towards the modernized bulk food grain supply chain system. This paper develops a Mixed Integer Non-Linear Programming (MINLP) model for planning the movement and storage of food grain from surplus states to deficit states considering the seasonal procurement, silo capacity, demand satisfaction and vehicle capacity constraints. The objective function of the model seeks to minimize the bulk food grain transportation, inventory holding, and operational cost. Therein, shipment cost contains the fixed and variable cost, inventory holding and operational cost considered at the procurement centers and base silos. The developed mathematical model is computationally complex in nature due to nonlinearity, the presence of numerous binary and integer variables along with a huge number of constraints, thus, it is very difficult to solve it using exact methods. Therefore, recently developed, Hybrid Particle-Chemical Reaction Optimization (HP-CRO) algorithm has been employed to solve the MINLP model. Different problem instances with growing complexities are solved using HP-CRO and the results are compared with basic Chemical Reaction Optimization (CRO) and Particle Swarm Optimization (PSO) algorithms. The results of computational experiments illustrate that the HP-CRO algorithm is competent enough to obtain the better quality solutions within reasonable computational time.

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“…Furthermore, in that year, the volume of exported soybeans was inferior only to the United States (Food and Agriculture Organization of the United Nations, 2012). Nowadays, around 68% of Brazilian soybeans are handled by the national road network (Reis & Leal, 2015).…”

Section: Characterization Of Grain Logisticsmentioning

confidence: 99%

Grain intermodal terminals: evaluation of pure technical efficiency by Data Envelopment Analysis

Peixoto

Mendonça

Musetti

et al. 2017

Prod.

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This paper aimed to verify if terminals with productive efficiency also have pure technical efficiency, using DEA (Data Envelopment Analysis) technique. The research approach was the qualitative-quantitative or mixed, with exploratory purpose; the research method defined was the case study (multicases); data were collected through interviews using a structured questionnaire and non-probability for convenience sampling. While the application of Charnes, Cooper and Rhodes (CCR) model observed that only three (4, 7 and 11), of the twelve analyzed Decision Making Units (DMUs) have total technical efficiency, through Banker, Charnes and Cooper (BCC) model, it was possible to observe that these terminals were the only ones with pure technical efficiency. The three inefficient DMUs (1, 2 and 12) showed pure technical efficiency, suggesting that these terminals might present probable scale operations' inefficiency, aspect not addressed in this paper.

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A deterministic mathematical model to support temporal and spatial decisions of the soybean supply chain

Cited by 36 publications

References 27 publications

Use of MIP for planning temporary immigrant farm labor force

Use of MIP for planning temporary immigrant farm labor force

An MINLP model to support the movement and storage decisions of the Indian food grain supply chain

Grain intermodal terminals: evaluation of pure technical efficiency by Data Envelopment Analysis

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