Decision support systems for sustainable logistics: a review and bibliometric analysis

Purpose Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges associated with decision making in sustainable logistics. The purpose of this paper is to explore the current state of the research in the domain of DSS for logistics while considering sustainability aspects. Design/methodology/approach A systematic review approach using a set of relevant keywords with several exclusion criteria was adopted to identify literature related to DSS for sustainable logistics. A total of 40 papers were found from 1994 to 2015, which were then analyzed along the dimensions of publishing trend, geographic distribution and collaboration, the most influential journals, affiliations and authors as well as the key themes of identified literature. The analysis was conducted by means of bibliometric and text mapping tools, namely BibExcel, gpsvisualizer and VOSviewer. Findings The bibliometric analysis showed that DSS for sustainable logistics is an emerging field; however, it is still evolving but at a slower pace. Furthermore, most of the contributing affiliations belong to the USA and the UK. The text mining and keyword analysis revealed key themes of identified papers. The inherent key themes were decision models and frameworks to address sustainable logistics issues covering transport, distribution and third-party logistics. The most prominent sustainable logistics issue was carbon footprinting. Social impact has been given less attention in comparison to economic and environmental aspects. The literature has adequate room for proposing more effective solutions by considering various types of multi-criteria decision analysis methods and DSS configurations while simultaneously considering economic, environmental and social aspects of sustainable logistics. Moreover, the field has potential to include logistics from wide application areas including freight transport through road, rail, sea, air as well as inter-modal transport, port operations, material handling and warehousing. Originality/value To the best of the authors’ knowledge, this is the first systematic review of DSS for sustainable logistics using bibliometric and text analysis. The key themes and research gaps identified in this paper will provide a reference point that will encourage and guide interested researchers for future study, thus aiding both theoretical and practical advancements in this discipline.

[1]  Jasmine Siu Lee Lam,et al.  Developing environmental sustainability by ANP-QFD approach: the case of shipping operations , 2015 .

[2]  Bo Zhang,et al.  Operations Research Transforms Baosteel's Operations , 2014, Interfaces.

[3]  Ruiqi Qin,et al.  Analysis on Development Path of Tianjin Green Logistics , 2009 .

[4]  Athakorn Kengpol,et al.  The development of a decision support framework for a quantitative risk assessment in multimodal green logistics: an empirical study , 2016 .

[5]  Suphunnika Ibbotson,et al.  Development of a Generic decision support system based on multi-Objective Optimisation for Green supply chain network design (GOOG) , 2015 .

[6]  Mehmet Soysal,et al.  Modelling food logistics networks with emission considerations: The case of an international beef supply chain , 2014 .

[7]  Harold Krikke,et al.  Impact of closed-loop network configurations on carbon footprints: A case study in copiers , 2011 .

[8]  Efraim Turban,et al.  Decision Support and Business Intelligence Systems (8th Edition) , 2006 .

[9]  Michael S. Scott Morton,et al.  A Framework for Management Information Systems , 2015 .

[10]  William Faulkner,et al.  A multidisciplinary decision support tool for evaluating multiple biorefinery conversion technologies and supply chain performance , 2014, Clean Technologies and Environmental Policy.

[11]  John Elkington,et al.  Partnerships from cannibals with forks: The triple bottom line of 21st‐century business , 1998 .

[12]  R. Dekker,et al.  The impact of greening on supply chain design and cost: a case for a developing region , 2012 .

[13]  Xu Peng,et al.  A multi-objective optimization model for sustainable logistics facility location , 2013 .

[14]  Karthik Ramani,et al.  Integrated Sustainable Life Cycle Design: A Review , 2010 .

[15]  Arief Adhitya,et al.  Decision support for green supply chain operations by integrating dynamic simulation and LCA indicators: diaper case study. , 2011, Environmental science & technology.

[16]  A. Fink Conducting research literature reviews , 1998 .

[17]  An Caris,et al.  A decision support framework for intermodal transport policy , 2011 .

[18]  Antonella Meneghetti,et al.  Decision Support Optimisation Models for Design of Sustainable Automated Warehouses , 2015 .

[19]  Prasanta Kumar Dey,et al.  Analytic hierarchy process helps select site for limestone quarry expansion in Barbados. , 2008, Journal of environmental management.

[20]  Liang He,et al.  Study on the Development of Modern Green Logistics in China , 2009, 2009 International Conference on Innovation Management.

[21]  Hans-Otto Günther,et al.  Sustainable development of global supply chains—part 2: investigation of the European automotive industry , 2014 .

[22]  Angappa Gunasekaran,et al.  Building the “Triple R” in global manufacturing , 2017 .

[23]  F. T. S. Chanb,et al.  Flexible decision modeling of reverse logistics system : A value adding MCDM approach for alternative selection , 2016 .

[24]  Richard W. Eglese,et al.  Combinatorial optimization and Green Logistics , 2010, Ann. Oper. Res..

[25]  Manfred M. Fischer From conventional to knowledge-based geographic information systems , 1994 .

[26]  Wei-Kai Wang,et al.  An integrated fuzzy approach for provider evaluation and selection in third-party logistics , 2009, Expert Syst. Appl..

[27]  Risto Lahdelma,et al.  Decision support for centralizing cargo at a Moroccan airport hub using stochastic multicriteria acceptability analysis , 2010, Eur. J. Oper. Res..

[28]  Dan Liu,et al.  Decision support system design for rail transport of hazardous materials , 2014 .

[29]  Alan Campbell McKinnon,et al.  Green Logistics: Improving the Environmental Sustainability of Logistics , 2010 .

[30]  Sachin S. Kamble,et al.  Decision support system framework for performance based evaluation and ranking system of carry and forward agents , 2015 .

[31]  John Golias,et al.  Towards the improvement of a combined transport chain performance , 2004, Eur. J. Oper. Res..

[32]  Adisa Azapagic,et al.  A mathematical model and decision-support framework for material recovery, recycling and cascaded use , 2002 .

[33]  Pere Fullana-i-Palmer,et al.  An extended life cycle analysis of packaging systems for fruit and vegetable transport in Europe , 2013, The International Journal of Life Cycle Assessment.

[34]  M. Petticrew,et al.  Systematic Reviews in the Social Sciences , 2006 .

[35]  Irina Gribkovskaia,et al.  Modal split in offshore supply network under the objective of emissions minimization , 2015 .

[36]  Edrisi Muñoz,et al.  Considering environmental assessment in an ontological framework for enterprise sustainability , 2013 .

[37]  P. Chang,et al.  Carbon-efficient production, supply chains and logistics , 2015 .

[38]  Joseph Sarkis,et al.  Quantitative models for managing supply chain risks: A review , 2015, Eur. J. Oper. Res..

[39]  Cathal Heavey,et al.  Simulation, a support for sustainable logistical decision-making in complex supply chains , 2010, Int. J. Comput. Aided Eng. Technol..

[40]  Daniel DeLaurentis,et al.  Policies to deal with multimodal transport emissions: a system-of-systems approach , 2011 .

[41]  George T. S. Ho,et al.  Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry , 2014 .

[42]  Laura Meade,et al.  A conceptual model for selecting and evaluating third‐party reverse logistics providers , 2002 .

[43]  Fausto Freire,et al.  Life cycle activity analysis: logistics and environmental policies for bottled water in Portugal , 2001, OR Spectr..

[44]  Athakorn Kengpol,et al.  The development of a framework for route selection in multimodal transportation , 2014 .

[45]  Dan Andersson,et al.  Using a transport portfolio framework to reduce carbon footprint , 2015 .

[46]  Mauro Gamberi,et al.  Fresh food sustainable distribution: cost, delivery time and carbon footprint three-objective optimization , 2016 .

[47]  Hiroya Seki,et al.  Two levels decision system for efficient planning and implementation of bioenergy production. , 2007 .

[48]  R. Minciardi,et al.  Planning woody biomass logistics for energy production: A strategic decision model , 2009 .

[49]  Omar Boutkhoum,et al.  Multi-criteria Decisional Approach of the OLAP Analysis by Fuzzy Logic: Green Logistics as a Case Study , 2015 .