Application of weighted goal programming in the optimization of rations for sport horses

Prišenk, Jernej; Pažek, Karmen; Rozman, Črtomir; Turk, Jernej; Janzekovic, M.; Borec, Andreja

doi:10.22358/jafs/65922/2013

Cited by 16 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In WGP, the basic objective is by deviating toward positive as well as negative toward target tolerance. Mathematical models have objective goals that are blind from the target (Prišenk1 et al , 2013). The weighting procedure is a GP that completes a single objective model consisting of the total target weights (Nopiah et al , 2013).…”

Section: Research Results and Discussionmentioning

confidence: 99%

AHP-goal programming as the optimization method for management model in oil palm empty bunches waste

Kusrini

Sulistiawati

Imelda

2022

IJESM

View full text Add to dashboard Cite

Purpose This study aims to determine the optimum model of oil palm empty bunches (OPEB) management, to determine the optimal number of OPEB in waste management, which is then recommended to the company, and to know the achievement of various goals/targets with limited availability of resources. Design/methodology/approach This research uses quantitative and qualitative approaches. Quantitative approach is done by processing the data for financing and profit analysis in OPEB waste management which is then used for resource approach. A qualitative approach is undertaken for weighing purposes in the analytic hierarchical program (AHP) analysis. The research location was determined purposively in the crude palm oil mill of PT. Pundi Lahan Khatulistiwa in Ambawang, Kubu Raya Regency. Findings In order that the optimal settlement can achieve the goal/target of minimal environmental pollution, low cost and profit gain, the amount of OPEB that must be managed by the company is 311 tons prioritized for productive plants compost of 66.67 tons, organic fertilizer of 11 tons and mushroom growing media of 233.33 tons. Consequently, the company's cost of IDR 4.000.000.000 still spares IDR 2.004.694.000. The OPEB management as oyster mushroom promises a relatively high profit compared to other OPEB managements even though the cost is not the least. Originality/value This research is one of the few studies that examines the waste management model of palm oil empty bunches, mainly located in West Kalimantan, Indonesia. Originality is seen from the use of optimization analysis tools with integration of AHP with goal programming.

show abstract

Section: Research Results and Discussionmentioning

confidence: 99%

AHP-goal programming as the optimization method for management model in oil palm empty bunches waste

Kusrini

Sulistiawati

Imelda

2022

IJESM

View full text Add to dashboard Cite

show abstract

“…Evolutionary multi-objective optimization [28] being a population-based approach can provide the entire Pareto front in a single run.…”

Section: Bmentioning

confidence: 99%

“…A solution that would improve any of the objectives without sacrificing at least one of the objectives is not possible. In feed formulation literature, goal programming is considered to be a very effective approach for solving multi-objective decision making problems [28]. However, goal programming [29] usually requires the user to set the penalty values for objectives and the choice of the penalties seriously affects the quality of the optimized trade-off solutions resulting in ineffective decision making.…”

Section: Introductionmentioning

confidence: 99%

Precision animal feed formulation: An evolutionary multi-objective approach

Uyeh

Pamulapati

Mallipeddi

et al. 2019

Animal Feed Science and Technology

View full text Add to dashboard Cite

Most livestock producers aim for optimal ways of feeding their animals. Conventional algorithms approach optimum feed formulation by minimizing feed costs while satisfying constraints related to nutritional requirements of the animal. The optimization process needs to be performed every time a nutritional requirement is changed due to the nonlinear relationship between the relaxation of the different nutritional requirements and the feed cost. Consequently, decision-making becomes a time-consuming trial and error process. In addition, the nonlinear relationship changes depending on the type of materials used, their nutritional compositions and costs as well as the animal's nutritional requirements. Therefore, in this work, we formulated a multi-objective feed formulation problem comprising of two objects -a) minimizing feed cost and b) minimizing deviation from the specified requirements. The problem is solved using a population-based evolutionary multi-objective optimization algorithm (NSGA-II) that results in an optimal set of comprised solutions in a single run. The availability of the entire set of comprised solutions facilitates the understanding of the relationship between different nutritional requirements and cost, thus leading to a more efficient decision-making process. We demonstrated the applicability of the proposed method by performing experimental simulations on several cases of dairy and beef cattle feed formulation.

show abstract

“…In 2013, the optimization of feed rations for active and trained sport horses has been done with the help of weighted goal programming in which two different sub-models have been developed, the first sub-model is based on the linear programming (LP) technique and the second is based on weighted-goal programming (WGP). The results showed that the ration was approximately 10% cheaper without surpluses of any of the nutrient (Prišenk et al, 2013b).…”

Section: Introductionmentioning

confidence: 96%

Modeling for development of simulation tool: Cattle diet formulation

Saxena¹,

Khanna

2017

Int. j. adv. appl. sci

View full text Add to dashboard Cite

This paper presents algorithms for simulation tool development to formulate and compute cattle diet at different stages of livestock. Algorithms are proposed for bi-criteria models. The objectives taken are minimization of cost and maximization of the shelf life of animal feed mix. Other objectives achieved by these algorithms are inclusion of nutrient variability in the feed mix and minimization of the deviations. For developing the algorithms, combination of three mathematical programming techniques: linear, stochastic and goal programming is used. Computational and technological interface is included in the field of animal diet formulation by developing the algorithms, which provides better and faster results. Twenty mathematical models are solved by proposed algorithms and obtained results showed superiority of algorithm 2 in terms of nutrient variability whereas algorithm 1 provides better results in terms of lesser cost and more shelf life. Algorithm 3 is taking the two objectives in parallel and providing the optimal feed mix at minimum deviations from the target values of the cost and the shelf life.

show abstract

Application of weighted goal programming in the optimization of rations for sport horses

Cited by 16 publications

References 18 publications

AHP-goal programming as the optimization method for management model in oil palm empty bunches waste

AHP-goal programming as the optimization method for management model in oil palm empty bunches waste

Precision animal feed formulation: An evolutionary multi-objective approach

Modeling for development of simulation tool: Cattle diet formulation

Contact Info

Product

Resources

About