Fuzzy sets to model master production effectively in Make to Stock companies with Lack of Homogeneity in the Product

Mundi, M.I.; Alemany, M. M. E.; Poler, Raúl; Fuertes-Miquel, Vicente S.

doi:10.1016/j.fss.2015.06.009

Cited by 9 publications

(8 citation statements)

References 46 publications

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“…Regarding uncertainty in the ceramic sector, and as shown in the 'Uncertainty studied', Mundi et al (2013) and Mundi et al (2016) consider uncertainty in the appearance of homogeneous sublots. Peidro et al (2012) do it for the uncertainty in the gross margin, idle time and backorder quantities.…”

Section: Ceramic Sectormentioning

confidence: 99%

“…Peidro et al (2012) do it for the uncertainty in the gross margin, idle time and backorder quantities. When considering the 'LHP inherent uncertainty ' Mundi et al (2013' Mundi et al ( , 2016 deal with LHP inherent uncertainty in process, because it analyses uncertainty in the number of subtypes that appear in the process and considers that quantities per subtype are variable and uncertain. Additionally, Mundi et al (2016) model the demand in the master planning based on the number of customer orders with uncertain size that should be served with homogeneous sublots.…”

Section: Ceramic Sectormentioning

confidence: 99%

“…Peidro et al (2012) do not consider the LHP characteristic from a standpoint uncertain. Furthermore, Mundi et al (2013) use Scenario-Based Approach and Peidro et al (2012) and Mundi et al (2016) employ the Fuzzy-Based Approach to model uncertainties.…”

Section: Ceramic Sectormentioning

confidence: 99%

“…As regards, the 'Modelling approach', Mundi et al (2013) formulates a Linear Programming (LP) model, whereas Peidro et al (2012) and Mundi et al (2016) use Fuzzy Programming (FP). Mundi et al (2013Mundi et al ( , 2016 optimise the objective related to the maximisation of gross margin or profit, respectively. Peidro et al (2012) propose the maximisation of the degree of satisfaction of three objectives: gross margin, backlogged demand and idle time of resources.…”

Section: Ceramic Sectormentioning

confidence: 99%

See 3 more Smart Citations

Review of mathematical models for production planning under uncertainty due to lack of homogeneity: proposal of a conceptual model

Mundi

Alemany

Poler

et al. 2019

International Journal of Production Research

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Lack of homogeneity in the product (LHP) appears in some production processes that confer heterogeneity in the characteristics of the products obtained. Supply chains with this issue have to classify the product in different homogeneous subsets, whose quantity is uncertain during the production planning process. This paper proposes a generic framework for reviewing in a unified way the literature about production planning models dealing with LHP uncertainty. This analysis allows the identification of similarities among sectors to transfer solutions between them and gaps existing in the literature for further research. The results of the review show: (1) sectors affected by LHP inherent uncertainty, (2) the inherent LHP uncertainty types modelled, and (3) the approaches for modelling LHP uncertainty most widely employed. Finally, we suggest a conceptual model reflecting the aspects to be considered when modelling the production planning in sectors with LHP in an uncertain environment.

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Section: Ceramic Sectormentioning

confidence: 99%

Section: Ceramic Sectormentioning

confidence: 99%

Section: Ceramic Sectormentioning

confidence: 99%

Section: Ceramic Sectormentioning

confidence: 99%

See 2 more Smart Citations

Review of mathematical models for production planning under uncertainty due to lack of homogeneity: proposal of a conceptual model

Mundi

Alemany

Poler

et al. 2019

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…The homogeneous ATP concept is included in the so called lack of homogeneity in the product (LHP). LHP is defined as the absence of uniformity among units of the same product, that can originate from the incorporation of raw materials directly derived from nature, and/or production processes features that confer heterogeneity to it (Alarcon et al 2011, Alemany et al (2013, Mundi et al(2015) and Grillo et al 2016). Improper management of non-homogeneous units of the same product and its inherent uncertainty can impact very negative on customer service level.…”

Section: Related Workmentioning

confidence: 99%

Modelling Pricing Policy Based on Shelf-Life of Non Homogeneous Available-To-Promise in Fruit Supply Chains

Grillo

Alemany

Ortíz

2016

Collaboration in a Hyperconnected World

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Optimization model to support sustainable crop planning for reducing unfairness among farmers

Esteso

Alemany

Ortíz

et al. 2021

Cent Eur J Oper Res

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Inherent uncertainty surrounding the agri-food sector negatively impacts the supply chain's (SC) sustainability and performance. A main consequence of this uncertainty is the imbalance between supply and demand with volatility in prices and high quantities of waste and unmet demand. Usually, farmers are the most affected by the negative impact of uncertainty. To improve their competitive position, it is necessary to implement new business models that encourage the collaboration among farms, try to reduce the number of intermediaries between farms and markets, reduce the activities related to the management of perishable crops and their associated costs, and enable mechanisms to sell the oversupply of crops such as their settlement. In this paper, a novel multi-objective model is proposed to support the crop planning under uncertainty for the proposed business model. Three objectives aligned with the triple bottom lines are considered: SC profit maximization (economic), waste minimization (environmental) and unfairness minimization (social). The last objective reduces the unwillingness of farms to cooperate with the crop planning. The model is solved with the weighted sum method and compared to an equivalent model considering only economic objectives, concluding that environmental and social aspects can be highly improved by little decreasing profits.

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Fuzzy sets to model master production effectively in Make to Stock companies with Lack of Homogeneity in the Product

Cited by 9 publications

References 46 publications

Review of mathematical models for production planning under uncertainty due to lack of homogeneity: proposal of a conceptual model

Review of mathematical models for production planning under uncertainty due to lack of homogeneity: proposal of a conceptual model

Modelling Pricing Policy Based on Shelf-Life of Non Homogeneous Available-To-Promise in Fruit Supply Chains

Optimization model to support sustainable crop planning for reducing unfairness among farmers

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