Optimizing Cold Chain Distribution Routes Considering Dynamic Demand: A Low-Emission Perspective

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

1. Significance and Novelty: This study introduces a two-stage mathematical model for the low-carbon vehicle routing problem. The model considers static and dynamic vehicle routing issues and efficiently includes carbon emission, refrigeration, and transportation expenses into the objective function. This study is novel because it goes beyond the standard method of computing carbon emissions using carbon tax rates. Instead, it uses a fuel consumption model to more correctly compute carbon emissions.

2. Strengths: The paper's methodology is systematically constructed, and the mathematical models are clearly explained. The authors did a good job of describing the variables and restrictions in the model. The use of equations to express the various cost functions (Equations 1-6) is an easy and efficient way of presenting the components of total cost.

 

 3. Weaknesses: Firstly, the paper lacks an empirical validation of the proposed model. While the model seems theoretically sound, it would be beneficial to see how it performs when applied to real-world data. Secondly, the paper is missing a literature review section. Although the authors make references to other studies throughout the paper, a comprehensive review of existing literature in the field would provide important context for their research. Thirdly, the paper could benefit from clearer explanations of some of the variables and parameters used in the model.

4. Suggestions for Improvement:

 

Firstly, the authors should consider validating their model with empirical data. This could involve applying the model to a case study or using historical data to test its performance.  Secondly, add some more literature in the review section to provide context and highlight the novelty of the research. Thirdly, the authors should provide more detailed explanations or examples for some of the variables and parameters used in the model to improve readability and comprehension.

Comments on the Quality of English Language

1. Remove the typographical errors.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Comments and Suggestions for Authors

An interdisciplinary task at the intersection of information technologies and systems, the transport industry and ecology is considered. The problems of predicting the dynamic behavior of objects and systems aimed at optimizing a parameters number are relevant in most science and technology branches. The article has a clear logical structure. The article reflects the current state of scientific problem development and proposes new approaches to solving it. The mathematical formulation and algorithms are described in detail. The quality of visualization and description of results is at a high level.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

Comments and Suggestions for Authors

The article introduces a sophisticated two-stage optimization framework designed to enhance efficiency in distribution routes within the cold chain industry, addressing both static and dynamic operational considerations. Utilizing a genetic algorithm for static route planning and a dynamic optimization strategy capable of adapting to sudden shifts in demand, the research aims to reduce transportation, cooling, and carbon emission expenses, while ensuring prompt customer service. Through meticulous comparisons with alternative methodologies, the proposed model demonstrates significant cost reductions, particularly in carbon emissions, highlighting its effectiveness in sustainable logistics management. This study makes a noteworthy contribution to academic discourse by providing a comprehensive approach to navigating the complexities of distribution logistics within the context of a low-emission economy.

The suggested title, "Optimizing Cold Chain Distribution Routes Considering Dynamic Demand: A Low-Emission Perspective," offers a more concise representation of the article's primary focus. While the original title is descriptive, refinement is needed for enhanced readability and conciseness.

Author Response

Please see the attachment.

Author Response File: Author Response.docx