Harvest logistics in agricultural systems with multiple, independent producers and no on-farm storage

Lamsal, Kamal; Jones, Philip C.; Thomas, Barrett W.

doi:10.1016/j.cie.2015.10.018

Cited by 39 publications

(23 citation statements)

References 19 publications

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“…Fuzzy interpretive structural modelling, Structural self-interaction matrix, RFID Technology, Timetemperature data loggers, Microbiological analysis [174], [175], [176] Globalization Six T's, surveys, Define-Measure-Analyse-Improve-Control, Inspections [177], [178] [184], [185], [186], [187]…”

Section: -The New Models Of the Agri-food Supply Chainsmentioning

confidence: 99%

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Lezoche

Hernández

Ruiz

et al. 2020

Computers in Industry

568

339

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income.pdf 4.0 should help meeting sustainable challenges by increasing the agri-food supply chain stakeholders revenues as well as decreasing their pressure for handling complex and external factors they cannot control, such as weather, market behaviours and policies, but also to react on time by visualising current trends in needs. This paper focus principally on the factory farm model issued from the European and north American style. In those typologies of farms the Industry 4.0 elements can be introduced and merged with the agricultural domain to create the Agri-Food 4.0. The focus is more specialised on the industrial farming although the Agri-Food 4.0 is started to be adapted also to the organic and silvo-pasture paradigms. Thus, this paper, considering a review over than two hundred papers, provides a contribution to knowledge by establishing the linkages between new 4.0 trends in technologies and Agri-Food Supply Chain Challenges, which opens the 4.0 research field for a multidisciplinary work. The choice of the literature review methodology focused firstly on key words related to the Agri-food technology, then the second approach was to focus on selected journals and at the end we looked for the data-based repository and the linked publications. To accomplish this, the structure in this paper is as follows: in the first place, a compressive state of the art of Agri-Food 4.0 related technologies is covered. In the second place, a review and contribution coming from digital technologies to the new supply chain methods in Agri-Food shows linkages with next trends and technologies. Next, and linked to the agri-food supply chain challenges, the fourth section presents new trends and models in agri-food supply chains, especially in the domain of risk management, collaboration, governance, cold chain management, globalization, information and communication technologies, Logistics, supply chain structures and sustainable agri-food supply chains. Finally, the fifth section covers the main conclusions, visions and perspectives for this novel research. 2-Agri-food 4.0 and Technologies a State of the Art The agricultural sector has been active in digital innovation for decades already. Especially the advances in Precision Agriculture, remote sensing, robots, farm management information

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Section: -The New Models Of the Agri-food Supply Chainsmentioning

confidence: 99%

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Lezoche

Hernández

Ruiz

et al. 2020

Computers in Industry

568

339

View full text Add to dashboard Cite

show abstract

“…In the perspective of vehicle capacity and availability related constraint, they have assumed all homogenous vehicles and unlimited availability of vehicles. Lamsal, Jones, and Thomas (2016) developed the mathematical model for the movement of the crop from farm to processing plants by considering the multiple independent farmers and no storage exists at the farm. This study mainly focused on sugar cane, sugar beets, and vegetable crops.…”

Section: Literature Reviewmentioning

confidence: 99%

Bulk wheat transportation and storage problem of public distribution system

Mogale

Kumar

Mrquez

et al. 2017

Computers & Industrial Engineering

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This research investigates the multi-period multi-modal bulk wheat transportation and storage problem in a two-stage supply chain network of Public Distribution System (PDS). The bulk transportation and storage can significantly curtail the transit and storage losses of food grains, which leads to substantial cost savings. A mixed integer non-linear programming model (MINLP) is developed after studying the Indian wheat supply chain scenario, where the objective is to minimize the transportation, storage and operational cost of the food grain incurred for efficient transfer of wheat from producing states to consuming states. The cost minimization of Indian food grain supply chain is a very complex and challenging problem because of the involvement of the many entities and their constraints such as seasonal procurement, limited scientific storages, varying demand, mode of transportation and vehicle capacity constraints. To address this complex and challenging problem of food grain supply chain, we have proposed the novel variant of Chemical Reaction Optimization (CRO) algorithm which combines the features of CRO and Tabu search (TS) and named it as a hybrid CROTS algorithm (Chemical reaction optimization combined with Tabu Search). The numerous problems with different sizes are solved using the proposed algorithm and obtained results have been compared with CRO. The comparative study reveals that the proposed CROTS algorithm offers a better solution in less computational time than CRO algorithm and the dominance of CROTS algorithm over the CRO algorithm is demonstrated through statistical analysis.

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“…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. In two-phase solution approach, initially, they fixed harvest starting time, then find out the number of trucks and their allocation to load.…”

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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Harvest logistics in agricultural systems with multiple, independent producers and no on-farm storage

Cited by 39 publications

References 19 publications

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Bulk wheat transportation and storage problem of public distribution system

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

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