The impact of greening on supply chain design and cost: a case for a developing region

Mallidis, Ioannis; Dekker, Rommert; Vlachos, Dimitrios

doi:10.1016/j.jtrangeo.2011.12.007

Cited by 133 publications

(63 citation statements)

References 16 publications

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“…The comparison was based on energy and other costs, rather than on energy usage or emissions. Mallidis et al (2012) examined various distribution network options in South East Europe for white goods. Although warehouse and transport costs were included, only transport emissions were measured.…”

Section: Operations Management and Logistics Literaturementioning

confidence: 99%

Assessing the environmental impact of integrated inventory and warehouse management

Fichtinger

Ries

Grosse

et al. 2015

International Journal of Production Economics

123

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract: There has been considerable research on the environmental impact of supply chains but most of this has concentrated on the transport elements. The environmental impact of warehousing has received relatively little attention except within the context of distribution networks. A high proportion of total warehouse emissions emanate from heating, cooling, air conditioning and lighting and these aspects are largely related to warehouse size. This in turn is greatly influenced by inventory management, affecting stockholding levels, and warehouse design, affecting the footprint required for holding a given amount of stock. Other emissions, such as those caused by material handling equipment, are closely related to warehouse throughput and equipment choice. There is a substantial gap in the literature regarding this interaction between inventory and warehouse management and its environmental impact. The purpose of this paper is to contribute to filling this gap. Therefore, an integrated simulation model has been built to examine this interaction and the results highlight the key effects of inventory management on warehouse-related greenhouse gas emissions. In particular, it is found that decisions on supply lead times, reorder quantities, and storage equipment all have an impact on costs and emissions and therefore this integrated approach will inform practical decision making. Additionally, it is intended that the paper provides a framework for further research in this important area. Permanent repository link

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Section: Operations Management and Logistics Literaturementioning

confidence: 99%

Assessing the environmental impact of integrated inventory and warehouse management

Fichtinger

Ries

Grosse

et al. 2015

International Journal of Production Economics

123

View full text Add to dashboard Cite

show abstract

“…In this paper, transportation costs and parameters related to backward demand of products were considered as triangular fuzzy numbers. Mallidis et al (2012) presented a green supply chain network design model for the first time which included input ports, distribution centers, and transportation modes along with decisions about dedicated or shared usage of storehouses (3PL) and transportation vehicles considering environmental effects of transportation. Ghaffari-Nasab et al (2015) proposed a hub logistics network design from the perspective of third party companies by considering inventory costs and the existing uncertainty in demand regarding production and distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertaint

Daghigh¹,

Jabalameli²,

Amiri³

et al. 2016

10.5267/j.ijiec

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“…It provides both economic and environmental benefits (Mallidis et al, 2012;Mihic et al, 2011) while providing quiet, efficient and safe transports of goods (Brand et al, 2012). It is mostly composed of interconnected canalized rivers and artificial channels, divided by locks.…”

Section: Inland Waterway Network Managementmentioning

confidence: 99%

Planning large systems with MDPs: case study of inland waterways supervision

Desquesnes

Lozenguez

Doniec

et al. 2016

ADCAIJ

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KEYWORD ABSTRACTMarkov decision processes; Inland waterway network; Large-scale systemsInland waterway management is likely to go through heavy changes due to an expected traffic increase in a context of climate change. Those changes will require an adaptive and resilient management of the water resource. The aim is to have an optimal plan for the distribution of the water resource on the whole inland waterway network, while taking into account the uncertainties arising from the operations of such a network. A representative model using Markov decision processes is proposed to model the dynamic and the uncertainties of the waterways. The proposed model is able to coordinate multiple entities over multiple time steps in order to prevent an overflow of a test network. However, this model suffers from a lack of scalability and is unable to represent real case applications. Advantages and limitations of several approaches of the literature to circumvent this limitation are discussed according to our case study.

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The impact of greening on supply chain design and cost: a case for a developing region

Cited by 133 publications

References 16 publications

Assessing the environmental impact of integrated inventory and warehouse management

Assessing the environmental impact of integrated inventory and warehouse management

A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertaint

Planning large systems with MDPs: case study of inland waterways supervision

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