Modelling food logistics networks with emission considerations: The case of an international beef supply chain

Soysal, Mehmet; Bloemhof-Ruwaard, Jacqueline; Vorst, J.G.A.J. van der

doi:10.1016/j.ijpe.2013.12.012

Cited by 216 publications

(130 citation statements)

References 31 publications

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“…Paltsev et al [28] evaluated the US greenhouse gas quota and trading plan and analyzed the Emissions Forecasting and Policy Analysis (EPPA) model. Quota transaction [19,22] CERs [21,23] Certified emission reduction EUAs [24][25][26][27] European Union emission quota AAUs [28] Assigned amount units Program trading [30] VERs [31][32][33][34][35] Voluntary emission reduction VCS [36][37][38] Voluntary carbon standard…”

Section: Supply Chain Model With Carbon Emissionsmentioning

confidence: 99%

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Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China

Sun

2017

Sustainability

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Abstract:The concept of sustainable development requires us to explore a completeness model of low carbon transport and service in the light of the advancement of changes in world cooperation policy. Various kinds of carbon constraints not only limit emissions of contaminants from E-commerce Enterprise of different countries, but they also ensure the market activity around the Belt and Road, so as to avoid the implementation reducing the company's profits significantly. This paper discusses of the strictest periodic low-carbon constraints_(PLC) and the expansion of the mainstream with three relatively weak attributes-cumulative_(CLC), full cycle_(FCLC), and volatility_(VLC)-taking into account the offline delivery of lead time and the online relationship between supply and demand on the platform. We have established four decision models with different carbon confinement intensities and inferred the impact of more detailed carbon constraints on E-commerce delivery strategies. The appropriate operational decisions, under a wide spectrum of carbon constraints, help e-companies develop scientific delivery plans, and provide some inspiration for the promotion of low carbon economy system construction and environmental significance.

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Section: Supply Chain Model With Carbon Emissionsmentioning

confidence: 99%

“…Soysal et al [36] addressed the problem of modeling food logistics networks under carbon constraints, considering an international beef logistics supply chain network. Chen et al [37] analyzed the food delivery at a variety of temperatures with time requirements.…”

Section: Supply Chain Model With Carbon Emissionsmentioning

confidence: 99%

Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China

Sun

2017

Sustainability

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“…Perishability and degrading product quality, however, is taken into account in only five publications associated with food products. Soysal et al (2014) and Govindan et al (2014a) take perishability into account by allowing a maximum number of consecutive time periods that a food product can be stored. You et al (2012) take into account a given degradation rate during storage, i.e.…”

Section: Model Characteristicsmentioning

confidence: 99%

Multi-criteria decision making approaches for green supply chains: a review

et al. 2016

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Designing Green Supply Chains (GSCs) requires complex decisionsupport models that can deal with multiple dimensions of sustainability while taking into account specific characteristics of products and their supply chain. Multi-Criteria Decision Making (MCDM) approaches can be used to quantify trade-offs between economic, social, and environmental criteria i.e. to identify green production options. The aim of this paper is to review the use of MCDM approaches for designing efficient and effective GSCs. We develop a conceptual framework to find relevant publications and to categorise papers with respect to decision problems, indicators, and MCDM approaches. The analysis shows that (1) the use of MCDM approaches for designing GSCs is a rather new but emerging research field, (2) most of the publications focus on production and distribution problems, and there are only a few inventory models with environmental considerations, (3) the majority of papers assume all data to be deterministic, (4) little attention has been given to minimisation of waste, (5) numerous indicators are used to account for eco-efficiency, indicating the lack of standards. This study, therefore, identifies the need for

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“…However, considering environmental impact of perishable inventory is scarce [13]. Classical economic order quantity incorporated environmental aspects of managing inventory to arrive at an inventory policy for any type of product that satisfies the traditional cost objective at a minimal environmental impact [14][15][16][17].…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Agri-Food Supply Chain with Uncertain Demand and Lead Time

Galal¹,

El-Kilany²

2016

Int. j. simul. model.

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Food supply, safety and quality have become major concerns worldwide. Agri-food supply chains (ASC) possess special characteristics due to the perishability of their products and the high uncertainty of supply and demand. Furthermore, different sources of CO 2 emissions exist in an ASC due to storage, transportation, and disposal of fresh produce. Thus to ensure the sustainability of the supply chain, planning decisions have to be made with consideration of both economic and environmental aspects. This work studies the effect of changing the order quantity in a two-echelon agri-food supply chain on costs, emissions, and service level. A discrete-event simulation model is developed to include stochastic demand and lead-time, the amount of CO 2 emissions along the supply chain, service levels, and product lifetime effects. Simulation results show that reducing the order quantities can reduce costs and emissions by 27.42 % and 18.21 %; respectively, without sacrificing high service levels. Also, relying on costs or service level as sole objectives of the supply chain without consideration of emissions can result in greater economic and environmental inefficiencies in management of inventory levels.

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Modelling food logistics networks with emission considerations: The case of an international beef supply chain

Cited by 216 publications

References 31 publications

Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China

Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China

Multi-criteria decision making approaches for green supply chains: a review

Sustainable Agri-Food Supply Chain with Uncertain Demand and Lead Time

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