A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty

International Journal of Production Research

2018

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Agri-food sector performance strongly impacts global economy, which means that developing optimisation models to support the decision-making process in agrifood supply chains (AFSC) is necessary. These models should contemplate AFSC's inherent characteristics and sources of uncertainty to provide applicable and accurate solutions. To the best of our knowledge, there are no conceptual frameworks available to design AFSC through mathematical programming modelling while considering their inherent characteristics and sources of uncertainty, nor any there literature reviews that address such characteristics and uncertainty sources in existing AFSC design models. This paper aims to fill these gaps in the literature by proposing such a conceptual framework and state of the art. The framework can be used as a guide tool for both developing and analysing models based on mathematical programming to design AFSC. The implementation of the framework into the state of the art validates its. Finally, some literature gaps and future research lines were identified.

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Section: Conceptual Framework For Afsc Design Modelsmentioning

confidence: 99%

“…Therefore, the proposed CF was divided into four blocks ( Figure 1) that represent the pillars needed to develop an AFSC design model. Each block was divided into a series of specific categories of the problem under study that differentiated this CF from that proposed by Grillo, Alemany and Ortiz (2016).…”

Section: Conceptual Framework For Afsc Design Modelsmentioning

confidence: 99%

Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models

Esteso

International Journal of Production Research

2018

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“… Uncertainty on lack of homogeneity of products. Agri-food sector is characterized by the lack of homogeneity of the product, so the products obtained after harvesting differ in some attributes (maturity, color, bacterial level, various size and weights of items…) that are relevant for customers because they require to be served with homogeneous units of the same product [16]. Correct handling of the lack of homogeneity in the product and its inherent uncertainty is important to reduce and avoid inefficiencies of the supply chain and improve customer service level [16].…”

Section: Fig 1 Conceptual Framework For the Uncertainty Sources Of mentioning

confidence: 99%

Conceptual Framework for Managing Uncertainty in a Collaborative Agri-Food Supply Chain Context

Esteso

Collaboration in a Data-Rich World

2017

Agri-food supply chains are subjected to many sources of uncertainty. If these uncertainties are not managed properly, they can have a negative impact on the agri-food supply chain (AFSC) performance, its customers, and the environment. In this sense, collaboration is proposed as a possible solution to reduce it. For that, a conceptual framework (CF) for managing uncertainty in a collaborative context is proposed. In this context, this paper seeks to answer the following research questions: What are the existing uncertainty sources in the AFSCs? Can collaboration be used to reduce the uncertainty of AFSCs? Which elements can integrate a CF for managing uncertainty in a collaborative AFSC? The CF proposal is applied to the weather source of uncertainty in order to show its applicability.

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“…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%

“…In this paper, the main LHP characteristic appear randomly in raw materials with a strong effect over the finished product. The perishability (SL consuming) is identified as one of LHP types (Grillo et al, 2016), and as a cause of conflictive decisions in order to either maximise the incomes by sells of the product, or minimise the cost as a consequence of avoiding waste. Since customers require homogeneous and fresh products, they hope the price is directly linked on its quality, homogeneity and its freshness (that can be measured as a fraction of consumption of its maximum SL).…”

Section: Related Workmentioning

confidence: 99%

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

Grillo

Collaboration in a Hyperconnected World

2016

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