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1 – 10 of over 2000Shenle Pan, Vaggelis Giannikas, Yufei Han, Etta Grover-Silva and Bin Qiao
The development of e-grocery allows people to purchase food online and benefit from home delivery service. Nevertheless, a high rate of failed deliveries due to the customer’s…
Abstract
Purpose
The development of e-grocery allows people to purchase food online and benefit from home delivery service. Nevertheless, a high rate of failed deliveries due to the customer’s absence causes significant loss of logistics efficiency, especially for perishable food. The purpose of this paper is to propose an innovative approach to use customer-related data to optimize e-grocery home delivery. The approach estimates the absence probability of a customer by mining electricity consumption data, in order to improve the success rate of delivery and optimize transportation.
Design/methodology/approach
The methodological approach consists of two stages: a data mining stage that estimates absence probabilities, and an optimization stage to optimize transportation.
Findings
Computational experiments reveal that the proposed approach could reduce the total travel distance by 3-20 percent, and theoretically increase the success rate of first-round delivery approximately by18-26 percent.
Research limitations/implications
The proposed approach combines two attractive research streams on data mining and transportation planning to provide a solution for e-commerce logistics.
Practical implications
This study gives an insight to e-grocery retailers and carriers on how to use customer-related data to improve home delivery effectiveness and efficiency.
Social implications
The proposed approach can be used to reduce environmental footprint generated by freight distribution in a city, and to improve customers’ experience on online shopping.
Originality/value
Being an experimental study, this work demonstrates the effectiveness of data-driven innovative solutions to e-grocery home delivery problem. The paper also provides a methodological approach to this line of research.
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Anna Trubetskaya, Olivia McDermott and Seamus McGovern
This article aims to optimise energy use and consumption by integrating Lean Six Sigma methodology with the ISO 50001 energy management system standard in an Irish dairy plant…
Abstract
Purpose
This article aims to optimise energy use and consumption by integrating Lean Six Sigma methodology with the ISO 50001 energy management system standard in an Irish dairy plant operation.
Design/methodology/approach
This work utilised Lean Six Sigma methodology to identify methods to measure and optimise energy consumption. The authors use a single descriptive case study in an Irish dairy as the methodology to explain how DMAIC was applied to reduce energy consumption.
Findings
The replacement of heavy oil with liquid natural gas in combination with the new design of steam boilers led to a CO2 footprint reduction of almost 50%.
Practical implications
A further longitudinal study would be useful to measure and monitor the energy management system progress and carry out more case studies on LSS integration with energy management systems across the dairy industry.
Originality/value
The novelty of this study is the application of LSS in the dairy sector as an enabler of a greater energy-efficient facility, as well as the testing of the DMAIC approach to meet a key objective for ISO 50001 accreditation.
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Maha Alsabbagh and Waheeb Essa Alnaser
This study aims to assess readiness for climate change mitigation in the Kingdom of Bahrain.
Abstract
Purpose
This study aims to assess readiness for climate change mitigation in the Kingdom of Bahrain.
Design/methodology/approach
Two stages were followed aiming at understanding the situation related to climate change mitigation in Bahrain and assessing the mitigation readiness. Baseline and mitigation scenarios for the period 2019–2040 were developed using the Low Emissions Analysis Platform software based on historical emissions and energy data for the period 1990–2018. Using the analytic hierarchy process, the mitigation readiness was assessed by 13 experts, and priority areas for mitigation action were identified.
Findings
CO2e emissions are projected to grow continuously. However, no explicit climate change strategy is in place yet. Mitigation is tackled implicitly through energy efficiency and renewable energy initiatives. These initiatives can make 23% reduction in CO2e emissions by 2040. Adopting additional measures is needed to achieve the recently set emission reduction target of 30% by 2035. The findings revealed potential areas for improving mitigation efforts in Bahrain. Priority areas for mitigation actions, as identified by experts, were mainly related to policy and governance. Focus needs to be paid to the social aspect of climate change mitigation.
Originality/value
Literature on mitigation readiness in developing countries is sparse. Knowledge of the requirements for climate change mitigation and assessment of the country’s performance can prioritize areas for improving mitigation action. Several lessons can be learnt from the case of Bahrain. In addition, the adopted methodology can be applied to other developing or Arab countries at local or institutional levels. However, its application to specific sectors may require adjustments.
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Noelle Greenwood and Peter Warren
Framed within global policy debates over the need for private financial flows to align with the capital requirements of the Paris Agreement, this paper examines UK asset managers…
Abstract
Purpose
Framed within global policy debates over the need for private financial flows to align with the capital requirements of the Paris Agreement, this paper examines UK asset managers in their approaches to disclosing and managing climate risk. This paper identifies and evaluates climate risk management practices among this under-researched investor group in their capacity to address fundamental behavioural obstacles to low-carbon investment.
Design/methodology/approach
This paper takes an inductive approach to document analysis, applying content and thematic analysis to the annual disclosures of the 28 largest UK asset managers (by assets under management), including the investment management arms of insurance and pension companies.
Findings
The main takeaway from this research is that today’s climate risk management strategies hold potential to effectively address traditionally climate risk-averse investor behaviour and investment processes in the UK asset management context. However, this research finds that the use of environmental, social and governance (ESG) investment strategies to mitigate climate risks is a “grey area” in which climate risk management practices are undefined within broad sustainability and responsible investment agendas. In doing so, this paper invites further research into the extent to which climate risks are considered in ESG investment.
Originality/value
This paper contributes to research in sustainable finance and behavioural finance, by identifying the latest climate risk management techniques used among UK-headquartered asset managers and uniquely evaluating these in their capacity to address barriers to low-carbon investment arising from organisational behaviours and processes.
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