Short answer

Designers should leverage a comprehensive understanding of influencing variables to create last-mile logistics systems that balance customer expectations with resource efficiency and sustainability goals.

Field: Sustainability
Source: International Journal of Physical Distribution & Logistics Management (2018)
Method: Systematic Literature Review
Sample: 47 articles
Evidence: Moderate effect

A structured review of last-mile logistics models reveals that understanding contingency and structural variables is crucial for designing efficient and sustainable e-commerce delivery systems. This sustainability research insight is drawn from a 2018 study published in International Journal of Physical Distribution & Logistics Management. Using Systematic literature review with 47 articles, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers should leverage a comprehensive understanding of influencing variables to create last-mile logistics systems that balance customer expectations with resource efficiency and sustainability goals.

Study

SustainabilityHigh ImpactModerate effect

Optimizing E-commerce Last-Mile Delivery for Environmental and Service Efficiency

A structured review of last-mile logistics models reveals that understanding contingency and structural variables is crucial for designing efficient and sustainable e-commerce delivery systems.

International Journal of Physical Distribution & Logistics Management · 2018

Key Findings

01A design framework conceptualizes the relationship between contingency variables, structural variables, and operational characteristics of LML configurations (push-centric, pull-centric, hybrid).
02Optimized LML performance can lead to positive societal impacts through improved service and resource efficiency.

Application

Design takeaway

How to apply

When designing or improving e-commerce delivery networks, analyze the specific contingency factors (e.g., order volume, delivery density, customer expectations) and structural variables (e.g., vehicle type, routing algorithms, delivery windows) to select the most appropriate LML configuration (push, pull, or hybrid).

Project actions

01When researching delivery methods, consider how different approaches affect both speed and environmental impact.
02Use the proposed framework to analyze the trade-offs between different last-mile logistics strategies.

Method & Evidence

AimHow can last-mile logistics (LML) models be conceptualized and configured to enhance both service efficiency and environmental sustainability within the context of e-commerce?

MethodSystematic Literature Review

ProcedureA systematic literature review was conducted, examining 47 articles at the intersection of e-commerce and last-mile logistics. A snowballing technique was employed, and article selection was independently assessed by two researchers and counterchecked by two logistics experts.

Sample47 articles

ContextE-commerce and Last-Mile Logistics

Variables

IV["Contingency variables (e.g., order volume, delivery density, customer expectations)","Structural variables (e.g., vehicle type, routing algorithms, delivery windows)"]

DV["Operational characteristics of LML configuration (e.g., efficiency, cost, delivery time)","Environmental impact (e.g., emissions, resource consumption)"]

CV["E-commerce context","City logistics characteristics"]

Strengths & Limitations

Strengths

+Comprehensive review of a disparate field.
+Development of a structured design framework.

Limitations

The literature review may not capture the very latest innovations or specific regional challenges in last-mile delivery.

Reliability & validity

The study's reliability is enhanced by the independent assessment of articles by multiple researchers and experts. Validity is supported by its systematic approach to literature review and the development of a conceptual framework.

Think critically

How might the increasing demand for instant delivery services challenge the sustainability goals of last-mile logistics?

Design Principles

"Last-mile logistics design must integrate operational efficiency with environmental considerations to achieve sustainable and customer-centric delivery."

Effective last-mile logistics directly impacts customer satisfaction through delivery speed and reliability, while also significantly influencing environmental sustainability due to its high resource consumption. Designers and logistics professionals must consider these interconnected factors to create viable and responsible delivery solutions.

What This Means for Your Design

This research shows that to make online shopping deliveries work well for both customers and the environment, we need to carefully plan how goods get from the warehouse to the customer's door, considering many different factors.

How to use in your project

1.Reference this study when discussing the challenges and optimization strategies for last-mile delivery in your design project, particularly concerning efficiency and sustainability.

Add to My Project

Quick Cite

Paragraph starter

This research provides a valuable framework for understanding and designing last-mile logistics (LML) within the e-commerce context. By analyzing the interplay between contingency and structural variables, designers can optimize delivery configurations (push-centric, pull-centric, or hybrid) to enhance both service efficiency and environmental sustainability, leading to positive societal impacts through improved resource utilization.

Source

International Journal of Physical Distribution & Logistics Management

Consumer-driven e-commerce

journal · 2018

View source

Questions About This Research

What does the research say about optimizing e-commerce last-mile delivery for environmental and service efficiency?: Designers should leverage a comprehensive understanding of influencing variables to create last-mile logistics systems that balance customer expectations with resource efficiency and sustainability goals. Evidence: International Journal of Physical Distribution & Logistics Management (2018).
Why does "Optimizing E-commerce Last-Mile Delivery for Environmental and Service Efficiency" matter for design?: Effective last-mile logistics directly impacts customer satisfaction through delivery speed and reliability, while also significantly influencing environmental sustainability due to its high resource consumption. Designers and logistics professionals must consider these interconnected factors to create viable and responsible delivery solutions.
How can designers apply this research?: Designers should leverage a comprehensive understanding of influencing variables to create last-mile logistics systems that balance customer expectations with resource efficiency and sustainability goals.
What were the main findings?: A design framework conceptualizes the relationship between contingency variables, structural variables, and operational characteristics of LML configurations (push-centric, pull-centric, hybrid).. Optimized LML performance can lead to positive societal impacts through improved service and resource efficiency.
What research method was used?: Systematic Literature Review with 47 articles.
How strong is the evidence?: Evidence strength is rated Moderate effect, based on a 2018 journal from International Journal of Physical Distribution & Logistics Management.
What should I do differently in my next project?: When designing or improving e-commerce delivery networks, analyze the specific contingency factors (e.g., order volume, delivery density, customer expectations) and structural variables (e.g., vehicle type, routing algorithms, delivery windows) to select the most appropriate LML configuration (push, pull, or hybrid).
What are the limitations?: The study is based on a review of existing literature, and the proposed framework requires empirical validation in diverse real-world scenarios.