Peer-review of Journal Paper Essay Example

Review of Purohit, Choudhary, and Shankar article “Inventory Lot-Sizing under Dynamic Stochastic Demand with Carbon Emissions Constraints.»

Summary of the Article

The article examines the effects of carbon emission among other parameters on the supply chain performance alongside the problem of lot Sizing in the inventory under the dynamic stochastic demand. The authors consider the trade regulatory and carbon cap mechanisms. In efforts to address the latter problem they develop an integer programming model and as a result undertake various experiments with an ultimate aim of producing multiple outcomes in different business settings and industries(Purohit, Choudhary and Shankar 196). The results depict that the demand coefficient of variation and service level cycle tend to have significant effects on emissions, inventory, and costs within the supply chain.

Major Improvements

Profoundly, in any research work coherency and clarity plays a critical role enhancing understanding of any person going through the work. Thus, it is of great essence to present the ideas and concepts in a more detailed and comprehensive manner. Although the article mentioned above has authentic grammar brevity of the concepts and ideas are bringing on board ambiguity and as a result crippling understandability which is essential in every research work. Indeed, it is the ultimate aim every scholar to present his or her ideas and as a result, achieve his or her desired objectives such as solving a particular problem. The style adopted by the scientists’ needs enhancement to boost precision and authenticity of the work. To sum it up, the article lacks a more comprehensive and detailed analysis part of the experimental results. In particular, the paper consists of more graphical presentations accompanied by a brief explanation which paves the way for convolution and therefore impairing comprehension.

Minor Issues

Some of the minor improvements that have done regarding emissions and reduction of inventory related cost were undertaken regarding how to reduce emissions of greenhouse gasses in the supply chains. Notably, the study fails to explicate overtly how carbon emissions due to ordering, storage as well as variable emissions can be reduced. Besides, the article fails to define most of the scientific terms used in the research to enhance the logical and articulate flow of the inferred concepts and ideas.

Summary of the Journal Editor

Indeed, it is imperative to have a insightful comprehension regarding the problem at hand before embarking on trying to address it. Thus, it is of great essence top present ideas in a more articulate and lucid manner to ensure that the inferred ideas are well presented absorbed and implemented to solve a particular problem. In this regard, brevity and proper definition of the key scientific terms used are vital. Indeed, brevity impairs understandability of the research work. Also, the analysis of the experimental results should be presented in a clearer and detailed manner to enhance reliability and authenticity of the research work. A more precise and authentic procedure need to be put into place with service level cycle constraints accompanied by non-stationary stochastic demand with emissions.

Besides, a deep scrutiny and understanding regarding the impacts of the environment and the parameters related to the system on inventory costs need to be taken into account as well to enhance the efficiency and reliability the model. Markedly, multiple and more detailed computational tests are necessary to account for the varied emissions due to storage and ordering activities within the supply chain. To conclude, it is worth to consider the cost incurred while purchasing, ordering as well as the holding cost. What is more, the models need to take into account costs due to emissions which are produced under and beyond the carbon cap with constraints on the produced emissions.

Works Cited

Purohit, Arun Kumar, Devendra Choudhary, and Ravi Shankar. «Inventory lot-sizing under dynamic stochastic demand with carbon emission constraints.» Procedia-Social and Behavioral Sciences 189 (2015): 193-197.