Goal programming for decision making: An overview of the current state-of-the-art

Tamiz, Mehrdad; Jones, Dylan; Romero, Carlos

doi:10.1016/s0377-2217(97)00317-2

Cited by 522 publications

(263 citation statements)

References 48 publications

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“…lexicographic goal programming approach [44], can be also adopted to solve the multi-objective optimizations according to the practical situation.…”

Section: Optimization Criterion: Single Objective Vs Multiple Objectmentioning

confidence: 99%

Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

Sun¹,

Lang²,

Wang³

2015

TOCIEJ

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Abstract:With the remarkable development of international trade, global commodity circulation has grown significantly. To accomplish commodity circulation among various regions and countries, multi-modal transportation scheme has been widely adopted by a large number of companies. Meanwhile, according to the relevant statistics, the international logistics costs reach up to approximate 30-50% of the total production cost of the companies 1 . Lowering the transportation costs has become one of the most important sources for a company to raise profits and maintain competitiveness in the global market. Thus, how to optimize freight routes selection to move commodities through the multi-modal transportation network has gained great concern of both the decision makers of the companies and the multi-modal transport operators. In this study, we present a systematical review on the multi-modal transportation freight routing planning problem from the aspects of model formulation and algorithm design. Following contents are covered in this review: (1) distinguishing the formulation characteristics of various optimization models; (2) identifying the optimization models in recent studies according to the formulation characteristics; and (3) discussing the solution approaches that are developed to solve the optimization models, especially the heuristic algorithms.

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“…lexicographic goal programming approach [44], can be also adopted to solve the multi-objective optimizations according to the practical situation.…”

Section: Optimization Criterion: Single Objective Vs Multiple Objectmentioning

confidence: 99%

Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

Sun¹,

Lang²,

Wang³

2015

TOCIEJ

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“…, for these goals, and try to achieve a set of goals as closely as possible (Tamiz, et al, 1998) 31 . The purpose of GP is to minimize the deviations between the achievement of goals, ( ) k f X , and these acceptable aspiration levels,…”

Section: Goal Programming Modelmentioning

confidence: 99%

Data Envelopment Analysis Application in Turkish Energy Market

Coşgun¹,

Kaya²

2014

IJCIS

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In this study, we consider data envelopment analysis for comparison between thermal energy plants which are natural gas based and coal based power plants. Results of this study will give a roadmap to decision makers in selecting type of thermal plant they will construct. Also public and private energy supply sources are compared based on their performances. We not only make a solely comparison but also make a ranking of the power plants considered by using goal programming technique.

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“…(desired-actual)/desired) = (deviation)/desired)] (Žgajnar et al, 2010). A major issue of debate within the GP community has concerned the use of normalization techniques to overcome incommensurability (Tamiz et al, 1998).…”

Section: Model Developmentmentioning

confidence: 99%

“…The model was composed especially for winter and the annual instalment, and separately for each feeding period by the average weight of animals. The shortcomings of LP have been pointed out by many authors, however (Rehman and Romero, 1984;Gass, 1987;Tamiz et al, 1998). The greatest weaknesses are reflected in the rigidity of the limit (where the limits are fixed) and in allowing optimization of only one objective at a time.…”

Section: Introductionmentioning

confidence: 99%

“…In many situations LP has no feasible solution. The most used technique for solving these problems is goal programming, in particular, weighted goal programming (WGP) (Tamiz et al, 1998). Agricultural applications of WGP are presented by Rehman and Romero (1987), Lara (1993), Gómez-Limón et al (2004), Ferguson et al (2006), Stokes and Tozer (2007), Zimmerman (2008), Žgajnar et al (2009, 2010).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Prišenk¹,

Pažek²,

Rozman³

et al. 2013

J. Anim. Feed Sci.

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Goal programming for decision making: An overview of the current state-of-the-art

Cited by 522 publications

References 48 publications

Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

Data Envelopment Analysis Application in Turkish Energy Market

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

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