The formulation of MOTAD programming models for farm planning using subjectively elicited activity net revenue distributions

Hardaker, J. Brian; Troncoso, Javier L.

doi:10.1093/erae/6.1.47

Cited by 9 publications

(5 citation statements)

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“…Hazell (1971) inferred that the MOTAD model, as a linearized version of Quadratic Programming (QP), is better adapted for the post-optimality analysis, and MOTAD may lead to much smaller problems for complex farm organizations. The MOTAD linear approximation of the QP and combinations obtained with MOTAD are an acceptable proxy for the Expected-Variance (E-V) combinations obtained from quadratic function (Hardaker and Troncoso, 1979;Lambert and McCarl, 1985;Önal and McCarl, 1989).…”

Section: Methods For Generating Optimum Capacity Planmentioning

confidence: 99%

Benchmarking of Alternative Business Models in Licensed Grain Warehouses and Capacity Optimization

Ceyhan

Ulusoy

2023

JAST

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There have been serious problems in optimizing capacity management due to lacking detailed analysis of the current business model in Licensed Grain Warehouses (LGW) in Turkey. Therefore, the study's objectives were to economically analyze the standard and industrialist business models and examine the capacity management optimization in LGW in Turkey. Research data were collected from managers of warehouses by using semi-structured interviews and observations. Management records of the examined firms were also used to elicit warehouse-level data. MOTAD model was used to generate a capacity optimization plan under risky conditions. Research results showed that the capacity use ratio of two different business models was nearly the same, and both had smaller capacity use ratios than that of the optimum. Inventory turnover of the industrialist business model was higher than that of the standard one (P< 0.01). The amount of loss was lower than 1% in both business models. The gross income of the industrialist business model was larger compared to a standard business model. MOTAD programming results revealed that, with government incentives and support, optimizing the storage organization in the industrialist business model increased the gross revenue of licensed warehouses by 177.27%. Ensuring the optimum capacity management would reduce the need for working capital by 21.69%. The study suggests conversion from a standard business model to an industrialist one and controlling and monitoring inventory turnover to optimize the capacity of LGW.

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Section: Methods For Generating Optimum Capacity Planmentioning

confidence: 99%

Benchmarking of Alternative Business Models in Licensed Grain Warehouses and Capacity Optimization

Ceyhan

Ulusoy

2023

JAST

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“…() describe as embedded risk programming. Hardaker and Troncoso () brought EU theory to bear on linear risk programming, as did Kennedy et al . () to dynamic programming.…”

Section: Stochastic Programming and Simulation Modelsmentioning

confidence: 99%

Antipodean agricultural and resource economics at 60: risk and uncertainty

Quiggin

Anderson

2016

Aus J Agri & Res Econ

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Risk and uncertainty issues have been long addressed by members of AARES, reflecting the importance of the issue in agriculture, particularly in Australia. Members have been among the most innovative developers of methods and insights, around the world, as is reflected in the many publications in journals beyond the domestic shores. It seems, given the recent keen attention to such issues in the Australian literature and beyond, that, with high probability, members will continue to make strong contributions to this area of agricultural and resource economics.

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“…Although the usefulness of linear programming could be questioned due to its assumptions, namely linearity, additivity, and convexity, empirical findings, for example Johnson (1966), suggest that the restrictiveness of these assumptions would not be significant, especially in the context of agricultural land use decisions. Hence linear programming has found widespread application in agriculture; for example Hardaker and Troncoso (1979), Hazell and Norton (1986), and McCamley and Kliebenstein (1987).…”

Section: The Nature Of the Modelsmentioning

confidence: 99%

Quantification of the Trade-Offs in Zambia between Environment, Employment, Income and Food Security

Thampapillai¹,

Maleka²,

Milimo³

1995

Beyond Rio

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The designations employed in ILO publications, which are in conformity with United Nations practice, and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the International Labour Office concerning the legal status of any country, area or territory or of its authorities, or concerning the delimitation of its frontiers. The responsibility for opinions expressed in signed articles, studies and other contributions rests solely with their authors, and publication does not constitute an endorsement by the International Labour Office of the opinions expressed in them. Reference to names of firms and commercial products and processes does not imply their endorsement by the International Labour Office, and any failure to mention a particular firm, commercial product or process is not a sign of disapproval. ILO publications can be obtained through major booksellers or ILO local offices in many countries, or direct from ILO Publications, International Labour Office, CH-1211 Geneva 22, Switzerland. A catalogue or list of new publications will be sent free of charge from the above address. Printed by the International Labour Office. Geneva, Switzerland PrefaceThis Working Paper is one of a series of environmental studies undertaken as part of the World Employment Programme of the ILO. It reports on the use of modelling to assist policy makers responsible for land allocation in trading off commercial, social and environmental interests. On the basis of a set of objectives and priorities and on the basis of the necessary field data, the study presents policy makers with a quantified optimal solution (in terms of the model) where objectives suggest contradictory actions. Moreover, the study enables policy makers the simulation of solutions when priorities are varied. The study concerns the Middle Zambezi Valley of the Kariba Lakeshore, a region of Zambia that is representative of other regions of the African continent. The objectives pursued are Environmental Quality (EQ), Employment (EM), Income Maximisation (IM) and Food Security (FS). The trade-off between these objectives arises from controversial proposals to clear large areas of environmentally valuable forests in order to develop irrigation-based agriculture and thus to increase incomes and employment.The main finding of the study is the presence of a significant level of complementarity between employment in tourism and the maintenance of environmental quality, albeit that this complementarity is subject to adequate environmental protection measures designed to manage adverse environmental effects of tourism on the environment. The same complementarity is not found between employment in agriculture and the maintenance of environmental quality. Nor are the objectives of food security and income maximisation advanced in equal measure when comparing agriculture and tourism. Under the circumstances, the study suggests a strategy by which at least SO per cent of the land now considered for clearing should not be develop...

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The formulation of MOTAD programming models for farm planning using subjectively elicited activity net revenue distributions

Cited by 9 publications

References 0 publications

Benchmarking of Alternative Business Models in Licensed Grain Warehouses and Capacity Optimization

Benchmarking of Alternative Business Models in Licensed Grain Warehouses and Capacity Optimization

Antipodean agricultural and resource economics at 60: risk and uncertainty

Quantification of the Trade-Offs in Zambia between Environment, Employment, Income and Food Security

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