Goal programming application for the decision support in the daily production planning of sawmills

This study proposes a methodology that integrates Weighted Goal Programing with the Fuzzy Analytical Hierarchy Process to obtain the product mix in a multi‐bottleneck system. The problem is approached by analysing a case of a company that manufactures four products that must pass through six workstations. The opinion of four specialists involved in the decision is considered and goals are set contemplating profit maximisation, the balance between workstations, exploitation of bottleneck resources and customer satisfaction. The prioritisation of these objectives is obtained through the Fuzzy Analytical Hierarchy Process. This methodology takes into account the uncertainty in the evaluation of the experts. From its application, a single crisp vector is obtained, which is transformed into the weights of the goals. The result is a product mix that satisfies the goals, corresponding to the experts' opinions.

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“…The opinions of the experts are aggregated into a single judgement matrix, using the geometric mean, expressed in Equation (12).…”

Section: Wgp With Standardized Goals and Equally Weighted Goals (Ewgp)mentioning

confidence: 99%

“…[11], and Broz et al. [12]. The latter uses GP for production scheduling in a sawmill and emphasises the importance of applying a methodology that allows to solidly support the weighting of deviations.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Use of goal programing and the fuzzy analytical hierarchy process to obtain the product mix

Zárate

Esteban

Berardi

et al. 2021

IET Collab Intel Manufact

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“…Indeed, GP is based on Herbert Simon's "satisficing" principle [34]. Consequently, GP searches for a satisfactory solution from the point of view of all players instead of an optimal solution for just one [35].…”

Section: Objectivesmentioning

confidence: 99%

Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market

et al. 2020

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Selecting an appropriate contract price between electric vehicle aggregators and electric vehicle owners is an uncertain, multi-criteria decision-making issue. In addition, the results can cause strong conflict due to different aims: the optimal value for increasing electric vehicle aggregator (EVA) profit negatively affects the cost for owners. The value of the contract price can change the optimal scheduling of EVAs in the day-ahead market. Taking into consideration this context, the current paper proposes to solve the multi-objective scheduling problem of an aggregator with a goal programming approach. The presented approach sets a satisfaction level for each goal according to decision-makers' preference. Numerical results illustrate the validity of this approach to balance different performance measures. Furthermore, optimal scheduling of electric vehicle aggregators in the day-ahead market is created.

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“…Rubem et al (2017) [24] proposed weighted goal programming (GP) approaches were to solve the multicriterion data envelopment analysis (MCDEA) to tackle the issue of lack of discrimination power model. Broz et al (2019) [25] presented a formulation for the optimal planning of the daily production of sawmills. They solved the problem using a Goal Programming approach allowing different criteria to be weighted.…”

Section: Introductionmentioning

confidence: 99%

Binary goal programming model for optimizing tire selection using branch and bound algorithm

Aly

2021

Int. J. Simul. Multidisci. Des. Optim.

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The problem of assessment and adoption of automotive tyre design specifications has not been addressed sufficiently in literature. This is in spite of its significance as a crucial component relevant to design and safety of the automobile. In this paper, a multi-objective optimization model of the tyre design trademark adoption decision is proposed. Multi-attribute or multi-criterion decision making techniques are heuristics providing good solution, but do not guarantee optimum solution. Up to date, there is no optimal yielding method for selection of vehicle tyre manufacturer or trademark based on prespecified design targets. The proposed model is formulated as a binary goal programming model for optimizing tyre trademark design selection decision by adopting an optimal tyre design trademark that best achieve design targets. The model is solved by the branch and bound algorithm. One advantage of the proposed model is flexibility to incorporate multiple design targets, tolerance limits and different constraints. The proposed model can support efficient and effective decision making concerning the adoption of tyre trademark design for new automobile or to re-adopt new design for new road vehicle operating conditions.

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Goal programming application for the decision support in the daily production planning of sawmills

Cited by 24 publications

References 23 publications

Use of goal programing and the fuzzy analytical hierarchy process to obtain the product mix

Use of goal programing and the fuzzy analytical hierarchy process to obtain the product mix

Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market

Binary goal programming model for optimizing tire selection using branch and bound algorithm

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