Wheat sustainable supply chain network design with forecasted demand by simulation

Motevalli-Taher, Faezeh; Paydar, Mohammad Mahdi; Emami, Saeed

doi:10.1016/j.compag.2020.105763

Cited by 50 publications

(19 citation statements)

References 33 publications

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“…Naderi et al [25] studied the wheat supply chain network design (SCND) as a case study considering capacity and fleet management. Also, Motevalli-Taher et al [26] optimized the wheat SCND considering the sustainability criteria and uncertainty. Leng et al [27] minimized the total logistics cost and vehicle and client waiting times by proposing a comprehensive low-carbon cold-chain based location-routing model.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a Bi-objective Mathematical Model to Design the Fish Closed-loop Supply Chain

Fasihi

Tavakkoli–Moghaddam

Najafi

et al. 2021

IJE

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Section: Literature Reviewmentioning

confidence: 99%

Developing a Bi-objective Mathematical Model to Design the Fish Closed-loop Supply Chain

Fasihi

Tavakkoli–Moghaddam

Najafi

et al. 2021

IJE

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“…In this regard, some articles have focused on a particular agricultural product to model their problems (Gholamian and Taghanzadeh, 2017). The application of supply chain network design models in distributing wheat considering sustainability indicators has also been recently investigated (Motavalli-Taher et al , 2020; Nayeri et al , 2020). The sustainable network design of the supply chains due to the importance of economic, social and environmental pillars in agricultural products has been recently considered via multi-objective optimisation models (Fakhrzad and Goodarzian, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

A novel location-inventory-routing problem in a two-stage red meat supply chain with logistic decisions: evidence from an emerging economy

Rahbari

Hajiagha

Mahdiraji

et al. 2021

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PurposeThis study focuses on a specific method of meat production that involves carcass purchase and meat production by packing facilities with a novel two-stage model that simultaneously considers location-routing and inventory-production operating decisions. The considered problem aims to reduce variable and fixed transportation and production costs, inventory holding cost and the cost of opening cold storage facilities.Design/methodology/approachThe proposed model encompasses a two-stage model consisting of a single-echelon and a three-echelon many-to-many network with deterministic demand. The proposed model is a mixed-integer linear programming (MILP) model which was tested with the general algebraic modelling system (GAMS) software for a real-world case study in Iran. A sensitivity analysis was performed to examine the effect of retailers' holding capacity and supply capacity at carcass suppliers.FindingsIn this research, the number of products transferred at each level, the number of products held, the quantity of red meat produced, the required cold storage facilities and the required vehicles were optimally specified. The outcomes indicated a two percent (2%) decrease in cost per kg of red meat. Eventually, the outcomes of the first and second sensitivity analysis indicated that reduced retailers' holding capacity and supply capacity at carcass suppliers leads to higher total costs.Originality/valueThis research proposes a novel multi-period location-inventory-routing problem for the red meat supply chain in an emerging economy with a heterogeneous vehicle fleet and logistics decisions. The proposed model is presented in two stages and four-echelon including carcass suppliers, packing facilities, cold storage facilities and retailers.

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“…Ref. [90] consider all of the five decision variables and also facility location decisions for a sustainable wheat supply chain.…”

Section: Decision Variablesmentioning

confidence: 99%

Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review

Taşkıner

Bilgen

2021

Logistics

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This paper provides a comprehensive review of the research done on optimization models that focus on harvest and production planning for food crops. Optimization models have been used extensively in providing insights to decision-makers on issues related to harvest and production planning in agri-food supply chains. First, we conduct an extensive literature review on previous survey articles to distinguish our research from others. Based on the previous reviews, a new classification scheme is developed to classify articles systematically. Harvest and production planning problems in agri-food supply chains are analyzed through three sections: problem scope, model characteristics, and modeling approach. Neglected problem topics and several promising research directions are presented to stimulate research interest on agri-food supply chains specifically planning of harvest and production.

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Wheat sustainable supply chain network design with forecasted demand by simulation

Cited by 50 publications

References 33 publications

Developing a Bi-objective Mathematical Model to Design the Fish Closed-loop Supply Chain

Developing a Bi-objective Mathematical Model to Design the Fish Closed-loop Supply Chain

A novel location-inventory-routing problem in a two-stage red meat supply chain with logistic decisions: evidence from an emerging economy

Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review

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