Implementation of the circular supply chain management in the pharmaceutical industry

Indicator-based assessment of potential supply risks for pharmaceutical excipients: Method and application

This work presents an indicator-based assessment of potential supply risks for pharmaceutical excipients. The assessment was conducted systematically through the steps of survey, data collection, and indicator value calculation. Japan was specified as the target, and all marketed products were analyzed. As the basis of the indicator, the Herfindahl-Hirschman index (HHI), a well-established method for measuring market concentration in economics, was adopted. Modifications were made to enable comparison of the risk levels of compounds, dosage forms, and diseases. Case studies were performed on each of these levels, and recommendations were obtained for risk mitigation. On the compound level, magnesium stearate, a commonly used lubricant, showed the highest risk, and a switch to alternative compounds was recommended. The dosage-form level evaluation showed that tablets and capsules could have higher risk levels than granules, indicating the importance of diversification. Finally, the disease-level evaluation showed that the supply of adult disease drugs might be risky because of the frequent use of tablets; less reliance on tablet forms was advised for adult diseases.

A call for sustainability: Why unused drugs should be redistributed to pharmacy schools for simulated pharmacy practice learning activities

INTRODUCTION

Pharmaceutical waste from unused or expired medications and supplies has environmental, economic, and social implications. Redistribution of these items from institutions to schools of pharmacy may contribute to global sustainability efforts.

PERSPECTIVE

This commentary outlines the proposed call to action through the United Nation's five dimensions of sustainability: planet, prosperity, people, partnerships, and peace. Reuse of medications by schools of pharmacy ensures the lifespan of a product is expanded, thereby reducing the amount of waste in landfills. Forming partnerships between institutions and schools of pharmacy lends to economic prosperity due to cost-avoidance and cost-recovery. This repurposing also prioritizes people by limiting the impact on supply chains and medication shortages, while also resource sharing in times of need. These efforts lead to increased peace through waste mitigation, mutually beneficial business, social responsibility, and community outreach.

IMPLICATIONS

Collaborations between institutions and schools of pharmacy can reduce pharmaceutical waste, which in turn will enhance the economic stability of both parties, while positively impacting the environment and society in which these partnerships reside.

Solar PV power plant site selection using a GIS-based non-linear multi-criteria optimization technique

The ongoing rise in energy consumption imposed serious environmental challenges by using fossil fuels. The use of renewable energy sources is being increasingly explored as a potential answer for achieving sustainable energy production and minimizing adverse environmental effects. In the modern day, photovoltaic (PV) systems are viewed as a possible replacement for fossil fuels as a clean energy source. The installation of solar PV power plants requires vast land and huge investment. Therefore, it is necessary to select a suitable site to achieve maximum efficiency and low cost. A feasible location of photovoltaic (PV) system must consider certain criteria including land restrictions, access to roads, and transmission lines. This study analyzed ten factors grouped into four categories: geographic, technical, economic, and flood susceptibility criterion. The data of each factor is extracted from various governments, United Nation (UN), and non-government organizational bodies. Weights were assigned to ten factors by using a non-linear multi-criteria optimization technique called full consistency method (FUCOM). A geographic information system (GIS) software, ESRI ArcGIS pro, performs the weighted overlay analysis of the ten factors with weighted importance calculated by the above technique. A suitability map is created showing that a total of 2.02% of the country's area is suitable for PV power plants, which are further divided into five suitability classes. The results highlight the distribution of suitable sites for the construction of solar PV power plant throughout the country. A sensitivity analysis is performed to highlight the impact of the factor on the final suitability map. These findings can promote the future widespread development and application of solar energy resources.

Logistics performance: critical factors in the implementation of end-of-life management practices in the pharmaceutical care process

The management of healthcare waste and end-of-life medication coming from different sources are primary challenges faced by public health leaders. Several factors may be considered critical and inhibitive to reverse logistics within the context of waste management processes. If those factors are not addressed, they may become obstacles to reverse logistics implementation. The purpose of this study is to evaluate the effect that critical factors play in the adoption of end-of-life management practices for medication and its influence on logistics performance. Literature provided some critical factors: management factor, collaboration factor, information technology factor, infrastructure factor, politics factor, financial and economic factor, end-of-life management practices, and logistics performance factor. A sample of 67 professionals from the public pharmaceutical care process answered a structured questionnaire. The collected data was analyzed using partial least square-structural equation modeling. The theoretical structural test confirmed eleven out of the fifteen hypotheses considered. The results have indicated that end-of-life management practices exert a direct influence on logistics performance. The analysis confirmed a direct effect of the information technology factor on end-of-life management practices, but not a moderation effect. Findings have contributed to the literature by providing deeper insights into the relationship between end-of-life management practices for medicines and logistics performance. Moreover, it supports health managers' decision-making in the pharmaceutical care process improvement and engagement with solid waste management policies.

Analyzing the enablers of circular supply chain using Neutrosophic-ISM method: lessons from the Indian apparel industry

Purpose

This research identifies the enablers for implementing circular supply chains (CSCEs) and analyzes interrelationships between them to quantify their driving and dependence power to understand the critical CSCEs.

Design/methodology/approach

Initially, 10 CSCEs are identified for the Indian apparel industries through an extant literature review and validated using the Delphi method by seeking experts' opinions. The identified CSCEs are subjected to a novel neutrosophic interpretive structural modeling (N-ISM) method to capture the interrelationships between CSCEs and compute the driving and dependence power of CSCEs.

Findings

The findings of the present research work revealed that “supportive legislative framework, awareness of circular economy's potential for revenue gain and availability of trained research and development (R&D) team” are the critical CSCEs that need to be considered while implementing a circular supply chain in apparel industries.

Research limitations/implications

This study offers insightful implications to guide practitioners in implementing the circular economy in apparel supply chains.

Originality/value

This research work is one of the earlier studies to analyze the enablers for implementing circular supply chains. This study has explored CSCEs in the context of apparel industries. From a methodological perspective, the novel N-ISM method is worth highlighting as the originality of the work.

Panel data analysis of energy conservation and emission reduction on high-quality development of logistics industry in Yangtze River Delta of China

With the implementation of Chinese carbon neutrality policy, the Yangtze River Delta calls for great concern. As a benchmark for the development of Chinese logistics industry, it accompanies energy consumption and environmental problems. This study explores how Chinese logistics industry can achieve energy conservation and emission reduction and high-quality development in the context of carbon neutrality. It analyzes the relationship between the logistics industry and economy, energy, as well as environment in Yangtze River Delta. The data is based on China Statistical Yearbook from 2001 to 2019, by means of the entropy method and panel vector autoregressive (PVAR) model. The main findings are summarized as follows: firstly, the economy, industrial structure, energy, and environment have significant impact on the development of logistics industry in Yangtze River Delta. Secondly, the development of logistics industry in Yangtze River Delta is not balanced. The provinces including Jiangsu, Shanghai, Zhejiang, and Anhui have great differences in economy, industrial structure, demographic dividend, energy consumption, and environmental protection, but they show the possibility of complementary advantages. Thirdly, the economic development and energy consumption have bidirectional effects. Environmental protection is relevant to economic development, industrial structure, energy consumption and logistics supply. Finally, some suggestions are provided on how to realize the high-quality development of logistics industry in Yangtze River Delta. In the context of carbon neutrality, it is necessary to consider energy conservation and emission reduction.

Analyzing the key performance indicators of circular supply chains by hybrid fuzzy cognitive mapping and Fuzzy DEMATEL: evidence from healthcare sector

This study presents a multi-layer fuzzy-based decision-making approach to enhance the hospital Circular Supply Chain (CSC) performance by focusing on intensive care units (ICU) via key performance indicators analysis. In this regard, a Systematic Literature Review (SLR) and Institution Fuzzy Delphi (IFD) are employed to extract the relevant and prominent KPIs. After, a hybrid Fuzzy Cognitive Mapping (FCM) and Fuzzy Decision Making Trial and Evaluation Laboratory (FDEMATEL) have been applied to illustrate a conceptual framework for the CSC performance management of the healthcare sector in the emerging economy of Iran. As a result, eight critical indicators emanated from the SLR-IFD approach. Furthermore, sixteen relationships amongst the performance indicators were identified via hybrid FCM-FDEMATEL. Inventory availability, information availability, innovation, and technology were selected as the most influential indicators. Besides, changing the information technology category, including information availability and Innovation and technology, had the most impact on the performance of the entire CSC. This study attempts to evaluate hospitals' circular supply chain performance, by designing the circular evaluation framework. Hospital managers can use the results of this research to improve their internal circular supply chain performances in the intensive care units by understanding the different scenarios.