The impact of logistics uncertainty on sustainable transport operations

Purpose – The purpose of this paper is to refine a logistics triad uncertainty model taking a supply chain perspective, to determine and assess the different causes and sources of supply chain uncertainty that impact on the sustainability of the UK road freight transport sector. Design/methodology/approach – To clarify the link between sustainability and transport uncertainty, a methodological triangulation strategy is applied combining the results of eight focus groups and an online structured questionnaire. Findings – The findings indicate that the main drivers impacting the sustainability of transport operations are delays, variable demand/poor information, delivery constraints and insufficient supply chain integration. The consequence of these problems is to reduce the efficiency of transport operations. Research limitations/implications – The model has been refined based only on participants' perceptions. Therefore, the finding should also be verified through the investigation of real-world situations. Moreover, the transport uncertainty model needs to be incorporated within a wider business process re-engineering approach to evaluate solutions to reduce transport uncertainty within supply chains. Practical implications – The findings further strengthen the understanding of the main uncertainty sources within supply chains in the UK. The internal root causes of uncertainty can be mitigated while external issues have to be accommodated; therefore, mitigation techniques, methods and strategies for reducing external and internal supply chain uncertainty in transport operations need to be identified through the research. Originality/value – This paper determines the industry perceived economic and environmental risks associated with transport operations in four UK sectors.

[1]  C. Lalwani,et al.  Combining quantitative and qualitative methodologies in logistics research , 2004 .

[2]  D. Morgan Focus groups for qualitative research. , 1988, Hospital guest relations report.

[3]  Philip Payne,et al.  Research frameworks in logistics: three models, seven dinners and a survey , 1995 .

[4]  J. Scott Armstrong,et al.  Estimating nonresponse bias in mail surveys. , 1977 .

[5]  Mohamed Mohamed Naim,et al.  The role of transport flexibility in logistics provision , 2006 .

[6]  Richard A. Krueger,et al.  Focus groups : a practical guide for applied research / by Richard A. Krueger , 1989 .

[7]  Chung-Lun Li,et al.  Managing uncertainty in logistics service supply chain , 2007 .

[8]  Theodore P. Stank,et al.  A framework for transportation decision making in an integrated supply chain , 2000 .

[9]  Anu Bask,et al.  Relationships among TPL providers and members of supply chains – a strategic perspective , 2001 .

[10]  A. Beulens,et al.  Identifying sources of uncertainty to generate supply chain redesign strategies , 2002 .

[11]  Terry L. Esper,et al.  The value of Collaborative transportation management (CTM): Its relationship to CPFR and information technology , 2003 .

[12]  Alan C. McKinnon,et al.  Use of a synchronised vehicle audit to determine opportunities for improving transport efficiency in a supply chain , 2004 .

[13]  Joanna Blythman,et al.  Shopped : The Shocking Power of British Supermarkets , 2004 .

[14]  R. Eltantawy,et al.  Securing the upstream supply chain: a risk management approach , 2004 .

[15]  Arni Halldorsson,et al.  Logistics knowledge creation: reflections on content, context and processes , 2002 .

[16]  Denis Royston Towill,et al.  UNCERTAINTY AND THE SEAMLESS SUPPLY CHAIN , 2002 .

[17]  S. Vickery,et al.  Supply Chain Flexibility: An Empirical Study , 1999 .

[18]  G. Pflug,et al.  Modeling, Measuring and Managing Risk , 2008 .

[19]  R. Boughton,et al.  ADDRESSING THE ESCALATING COST OF ROAD TRANSPORT , 2003 .

[20]  John Dinwoodie,et al.  Congestion and multimodal transport: a survey of cargo transport operators in the Netherlands , 2000 .

[21]  J. L. Cavinato Supply chain logistics risks: From the back room to the board room , 2004 .

[22]  M. Easterby-Smith,et al.  Management Research: An Introduction , 1991 .

[23]  Michael Tracey,et al.  Transportation Effectiveness and Manufacturing Firm Performance , 2004 .

[24]  Hau L. Lee,et al.  Mitigating supply chain risk through improved confidence , 2004 .

[25]  Amelia C. Regan,et al.  Impacts of highway congestion on freight operations: perceptions of trucking industry managers , 1999 .

[26]  Mohamed Mohamed Naim,et al.  Establishing a transport operation focused uncertainty model for the supply chain , 2008 .

[27]  T. Davis Effective supply chain management , 2020, Strategic Direction.