A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products

Sazvar, Zeinab; Al-e-hashem, S.M.J. Mirzapour; Baboli, Armand; Jokar, Mohammad Reza Akbari

doi:10.1016/j.ijpe.2013.12.023

Cited by 97 publications

(39 citation statements)

References 46 publications

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“…Jamshidi et al (2012) present a bi-objective network design model with periodic review inventory replenishment policy (with back-ordering) in warehouses and distribution centres. Sazvar et al (2014) develop a model to select the best transportation vehicles and to optimally replenish a deteriorating product in a two-echelon centralized supply chain under partial backorder assumption. Marti et al (2015) use a continuous review inventory policy in the considered supply chain network design model with facility location, procurement and transportation decisions.…”

Section: Decision Problemsmentioning

confidence: 99%

“…Marti et al (2015), and Schaefer and Konur (2015) consider uncertain demand while using a continuous review inventory policy. Sazvar et al (2014) also consider uncertain demand and propose a two-stage stochastic programming model. Limited number of papers shows an opportunity for future research to consider uncertainty in parameters in MCDM approaches.…”

Section: Model Characteristicsmentioning

confidence: 99%

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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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Section: Decision Problemsmentioning

confidence: 99%

Section: Model Characteristicsmentioning

confidence: 99%

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

et al. 2016

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“…Examples of research conducted in this field are [13,[18][19][20][21][22] which consider general perishable products, with the exception of [22], which investigates a perishable ASC. It is observed that all models account for classical costs elements combined with the environmental impact of the supply chain.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is observed that all models account for classical costs elements combined with the environmental impact of the supply chain. Different approaches were adopted to deal jointly with the cost and emissions objectives such as integration of several objectives through -constraint method [13] or compromise programming [19,20].…”

Section: Literature Reviewmentioning

confidence: 99%

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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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