{"title":"SUSTAINABLE MANUFACTURING: ENVIRONMENTAL STATISTICS AND MAPPING FOR PHARMACEUTICAL INDUSTRY","authors":"U. Chaturvedi","doi":"10.30638/eemj.2023.042","DOIUrl":null,"url":null,"abstract":"The pharmaceutical industry has important reasons to adopt sustainability and reduce its environmental footprint. Joining the trend, the Indian pharmaceutical industry is also embracing a cleaner and greener transition and is adopting responsible manufacturing. Adoption of data-driven approaches like Life-Cycle Analysis (LCA) to understand the environmental footprint associated with synthesis of an Active Pharmaceutical Ingredient (API) can help the manufacturers to review and improve their legacy processes. Prioritizing process optimization can result in better environmental performance along with economic, social and competitive advantages. This paper presents a data-driven practical approach for implementing an LCA based method for making the production process greener while comparing environmental impacts under different categories. Accordingly, the approach and methodology adopted and the results highlighted are expected to give an idea to pharmaceutical manufacturing companies to innovate and optimize their approaches to enhance environmental performance within a set of system boundaries. The present study demonstrates 5% improvement in yield for Celecoxib (API) synthesis and the resulting improvement in environmental performance. The framework presents an alternative method to reduce waste, energy consumption and emissions to minimize the environmental burden. Accordingly, the system boundaries cover cradle-to-synthesis stages of the API manufacturing. The effectiveness and potential of using LCA in analyzing and optimizing the pharmaceutical manufacturing process alongside improving the environmental performance with higher yield has been shown. The need to integrate LCA methodology with product and process development has thus been shown. Process optimization through greener methods of API manufacturing can be guided by such framework studies.","PeriodicalId":11685,"journal":{"name":"Environmental Engineering and Management Journal","volume":"1 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Engineering and Management Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.30638/eemj.2023.042","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The pharmaceutical industry has important reasons to adopt sustainability and reduce its environmental footprint. Joining the trend, the Indian pharmaceutical industry is also embracing a cleaner and greener transition and is adopting responsible manufacturing. Adoption of data-driven approaches like Life-Cycle Analysis (LCA) to understand the environmental footprint associated with synthesis of an Active Pharmaceutical Ingredient (API) can help the manufacturers to review and improve their legacy processes. Prioritizing process optimization can result in better environmental performance along with economic, social and competitive advantages. This paper presents a data-driven practical approach for implementing an LCA based method for making the production process greener while comparing environmental impacts under different categories. Accordingly, the approach and methodology adopted and the results highlighted are expected to give an idea to pharmaceutical manufacturing companies to innovate and optimize their approaches to enhance environmental performance within a set of system boundaries. The present study demonstrates 5% improvement in yield for Celecoxib (API) synthesis and the resulting improvement in environmental performance. The framework presents an alternative method to reduce waste, energy consumption and emissions to minimize the environmental burden. Accordingly, the system boundaries cover cradle-to-synthesis stages of the API manufacturing. The effectiveness and potential of using LCA in analyzing and optimizing the pharmaceutical manufacturing process alongside improving the environmental performance with higher yield has been shown. The need to integrate LCA methodology with product and process development has thus been shown. Process optimization through greener methods of API manufacturing can be guided by such framework studies.
期刊介绍:
Environmental Engineering and Management Journal is an international journal that publishes reviewed original research papers of both experimental and theoretical nature in the following areas:
environmental impact assessment;
environmental integrated management;
risk assessment and management;
environmental chemistry;
environmental protection technologies (water, air, soil);
pollution reduction at source and waste minimization;
chemical and biological process engineering;
cleaner production, products and services;
sensors in environment control;
sources of radiation and protection technologies;
waste valorization technologies and management;
environmental biotechnology;
energy and environment;
modelling, simulation and optimization for environmental protection;
technologies for drinking and industrial water;
life cycle assessments of products;
environmental strategies and policies;
cost-profitt analysis in environmental protection;
eco-industry and environmental market;
environmental education and sustainable development.
Environmental Engineering and Management Journal will publish:
original communications describing important new discoveries or further developments in the above-mentioned topics;
reviews, mainly of new rapidly developing areas of environmental protection;
special themed issues on relevant topics;
advertising.