Modelling and Solving the Inventory Routing Problem with CO2 Emissions Consideration and Transshipment Option

Rahbari, Misagh; Naderi, Bahman; Mohammadi, Mohammad

doi:10.1007/s40710-018-0302-y

Cited by 12 publications

(5 citation statements)

References 36 publications

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“… Çelik et al, 2012 , Central Bank of the Islamic Republic of Iran, 2019 , Food and Agriculture Organization of the United Nations, 2021 , Gilani et al, 2022 , Hameedu, 2014 , Heidari et al, 2019 , Kumar and Kansara, 2018 , Ministry of agriculture-Jahad, 2019 , Rahbari et al, 2022 , Rahbari et al, 2018 , Rahbari et al, 2022 , Seydanlou et al, 2022 , Singh et al, 2021 , xxxx , Vahdani et al, 2018 , World Health Organization, 2021 .…”

Section: Uncited Referencesmentioning

confidence: 99%

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Rahbari¹,

Khamseh²,

Mohammadi³

2023

Expert Systems with Applications

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Section: Uncited Referencesmentioning

confidence: 99%

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Rahbari¹,

Khamseh²,

Mohammadi³

2023

Expert Systems with Applications

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“…In this study, different aspects of sustainability have been considered. Various methods were used to control the emission of greenhouse gases (Rahbari et al 2018;Mogale et al 2020;Seydanlou et al 2022), and in this study, the carbon cap and trade mechanism has been used. Another important issue is how to deal with the uncertainty of the problem, which can be different according to the uncertain nature of the parameters.…”

Section: Research Gapmentioning

confidence: 99%

A novel multi-objective robust fuzzy stochastic programming model for sustainable agri-food supply chain: case study from an emerging economy

Rahbari

Khamseh

Mohammadi

2023

Environ Sci Pollut Res

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On the one hand, supply chain management of agri-food products under uncertain conditions has a significant impact on food security and, on the other hand, increases the profits of supply chain components. Moreover, considering the sustainability concepts leads to more social and environmental benefits. The present study investigates the canned food supply chain under uncertain conditions and sustainability concepts by considering strategic and operational decisions and different characteristics. The proposed model is a multi-echelon, multi-period, multi-product, multi-objective location-inventory-routing problem (LIRP) in which the vehicle fleet is considered heterogeneously. The objectives of this model are to (1) minimize costs, (2) minimize customer dissatisfaction, (3) maximize production throughput, and (4) maximize job opportunities. In this study, carbon cap and trade mechanism are used to minimize environmental damage. Robust fuzzy stochastic programming (RFSP) is employed to cope and control uncertainties. The multi-objective optimization problem is implemented on a real case and solved using the Torabi and Hassini (TH) method. The results of this study showed that with increasing confidence levels, the severity of the problem increased and the values of the objective functions worsened. Also, using the relative value of stochastic solution (RVSS) criterion demonstrated that the effect of utilizing the RFSP approach on the first and second objective functions was higher than that the nominal approach showed itself. Finally, sensitivity analysis is performed on two parameters: the selling price of products to foreign customers and the cost of purchasing products from farms. The results of this study showed that changing these two parameters had a significant effect on the first and second objective functions.

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“…Demand was stochastic, and the model was a multi-period, multi-product, and heterogeneous fleet composition with an integer non-linear programming structure that was solved by Lagrangian relaxation. Rahbari et al (2018) developed a multiperiod, multi-product, and green inventory-routing problem that sought to minimise both costs and CO 2 emissions. A key innovation in their research was to consider transshipment costs.…”

Section: Supply Chain Network Design and Managementmentioning

confidence: 99%

“…Furthermore, for each echelon, networks can be shaped as one-to-one, one-to-many, many-to-one, or many-to-many (Coelho et al , 2014). Different characteristics can also be added to the model, including time window (Wang et al , 2016), risk management (Heidari et al , 2018), transshipment (Rahbari et al , 2018) and perishability (Mirzaei and Seifi, 2015). Furthermore, issues such as the location of facilities, routing of vehicles and inventory can be examined for each supply chain (Biuki et al , 2020).…”

Section: Introductionmentioning

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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Modelling and Solving the Inventory Routing Problem with CO2 Emissions Consideration and Transshipment Option

Cited by 12 publications

References 36 publications

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

A novel multi-objective robust fuzzy stochastic programming model for sustainable agri-food supply chain: case study from an emerging economy

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

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