Economic and environmental comparison of grouping strategies in coordinated multi-item inventory systems

Konur, Dinçer; Schaefer, Brian

doi:10.1057/jors.2015.67

Cited by 19 publications

(10 citation statements)

References 71 publications

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“…In this case, safety stock optimization decisions has to be considered in addition to transportation mode selection and order quantity optimization decisions. Note that Konur and Schaefer (2015) paved the way for such type of study. More complex supply chain structures could also be considered by revisiting the multi-echelon lot sizing models.…”

Section: Discussionmentioning

confidence: 99%

“…They compare the results obtained with a pure cost model and the results obtained when additionally including environmental costs. Konur and Schaefer (2015) include carbon emissions into the joint replenishment problem. They apply multiobjective optimization and identify the set of efficient solutions for two types of strategies (namely direct and indirect grouping).…”

Section: Literature Review and Contributionmentioning

confidence: 99%

See 1 more Smart Citation

Sustainable transportation and order quantity: insights from multiobjective optimization

Bouchery¹,

Ghaffari

Jemaı̈

et al. 2016

Flex Serv Manuf J

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Section: Discussionmentioning

confidence: 99%

Section: Literature Review and Contributionmentioning

confidence: 99%

Sustainable transportation and order quantity: insights from multiobjective optimization

Bouchery¹,

Ghaffari

Jemaı̈

et al. 2016

Flex Serv Manuf J

View full text Add to dashboard Cite

“…Let c and h denote carbon emission factors in transportation and warehousing, respectively (see WRI [25] for a detailed description on emission factors). A few papers in the literature formulated emission factors as a function of load factors or vehicle types [10,11,26]. For example, the emissions from an empty truck were defined independently from the emission from delivering items.…”

Section: Modeling Of the Direct Shipment Strategymentioning

confidence: 99%

“…For example, the emissions from an empty truck were defined independently from the emission from delivering items. In this paper, the emissions from an empty truck is assumed to be a part of the emission factor in warehousing because of their structural similarity as defined in [10,11]. For simplicity, an average load factor is assumed to be a part of the emission factors, which means we consider homogeneous trucks similar to [27].…”

Section: Modeling Of the Direct Shipment Strategymentioning

confidence: 99%

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A Joint Optimal Decision on Shipment Size and Carbon Reduction under Direct Shipment and Peddling Distribution Strategies

Min

Chung

2017

Sustainability

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Abstract:Recently, much research has focused on lowering carbon emissions in logistics. This paper attempts to contribute to the literature on the joint shipment size and carbon reduction decisions by developing novel models for distribution systems under direct shipment and peddling distribution strategies. Unlike the literature that has simply investigated the effects of carbon costs on operational decisions, we address how to reduce carbon emissions and logistics costs by adjusting shipment size and making an optimal decision on carbon reduction investment. An optimal decision is made by analyzing the distribution cost including not only logistics and carbon trading costs but also the cost for adjusting carbon emission factors. No research has explicitly considered the two sources of carbon emissions, but we develop a model covering the difference in managing carbon emissions from transportation and storage. Structural analysis guides how to determine an optimal shipment size and emission factors in a closed form. Moreover, we analytically prove the possibility of reducing the distribution cost and carbon emissions at the same time. Numerical analysis follows validation of the results and demonstrates some interesting findings on carbon and distribution cost reduction.

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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

show abstract

Economic and environmental comparison of grouping strategies in coordinated multi-item inventory systems

Cited by 19 publications

References 71 publications

Sustainable transportation and order quantity: insights from multiobjective optimization

Sustainable transportation and order quantity: insights from multiobjective optimization

A Joint Optimal Decision on Shipment Size and Carbon Reduction under Direct Shipment and Peddling Distribution Strategies

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

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