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The purpose of this paper is to model the distribution stage of the public distribution system (PDS) and optimize the inventory policy during this stage of the PDS to address some of the inefficiencies present in the system. This study models this supply chain as a multistage supply chain consisting of storage depots, issue centers, fair price shops and card holders.

A two-stage modeling approach is used to model the distribution stage in the PDS. In the first stage, the authors developed a simulation model for periodic review-based stock policy with appropriate assumptions. This helped minimize the total supply chain cost (TSCC). The TSCC consists of three cost elements, namely, ordering cost, holding cost and shortage cost. These three cost elements, in turn, depend on inventory policy parameters, such as review periods and base stock levels, at various echelons. In the second stage, a Genetic Algorithm based optimization approach was used.

A set of optimal policy parameters was identified. It is observed that base stock levels at issue centers are higher as compared to those in the FPS and the TSCC is less in scenario, when backorder cost is equal to the holding cost.

Present study will be useful to policy makers in improving PDS performance. This optimization of inventory policies helps actors in the PDS supply chain to choose appropriate policy parameters in the present inventory policy so as to reduce the overall distribution cost.

Unlike the previous researchers who examined the PDS from the social security perspective and tried to address specific problems to improve functioning of the PDS, this study looked at the problem as a supply chain-related problem and optimized the inventory parameters in one of the subsets of the PDS supply chain.

This study aims to describe the fundamentals of teaching risk management in a classroom setting, with an emphasis on the learning interface between higher education and the workplace environment for business management students.

The study reviews literature that uses spreadsheets to visualize and model risk and uncertainty. Using six distinct case-based activities (CBAs), the study illustrates the practical applications of software like Palisade @RISK in risk management education. It helps to close the gap between theory and practice. The software assists in estimating the likelihood of a risk event and the impact or repercussions it will have if it occurs. This technique of risk analysis makes it possible to identify the risks that need the most active control.

@RISK can be used to create models that produce results to demonstrate every potential scenario outcome. When faced with a choice or analysis that involves uncertainty, @RISK can be utilized to enhance the perspective of what the future might contain.

The insights from this study can be used to develop critical thinking, independent thinking, problem-solving and other important skills in learners. Further, educators can apply Bloom’s taxonomy and the problem-solving taxonomy to help students make informed decisions in risky situations.

This paper aims to attempt to examine pressures, incentives, processes and practices used for sustainable sourcing. Further, it also proposes a framework to provide a composite method for monitoring and controlling the sustainability aspects of supply management. This would enable suppliers to consider buyers’ requirements, translate these into suitable strategies, assess suppliers’ capabilities and also judge the impact of these strategies on suppliers.

This study opts for literature review as a method. In total, 150 research papers in peer-reviewed English language journals were reviewed to examine the pressures, incentives, processes and practices used for sustainable sourcing.

This study attempts to answer the “why”-, “what”- and “how”-related questions about sustainable sourcing. It is observed that research in sustainable sourcing is multileveled and involves various functional departments in a firm. It is diverse and fragmented and is more concentrated on certain geographic areas, industries and methodologies.

This study can be helpful to both researchers and practicing managers. It provides a snapshot of the work done on sustainable sourcing, which can be used as a base for research addressing specific aspects of sustainable sourcing or for building strategies related to sustainable sourcing.

This study takes the present reviews available in the literature forward and provides a generic view of sustainable sourcing and proposes a composite method for monitoring and controlling the sustainability aspects of supply management. It attempts to consolidate the diverse literature presently available on sustainable sourcing.

This study attempts to identify and analyse the barriers to implementing a reverse logistics (RL) system in Indian Construction, Real estate, Infrastructure and Project (CRIP) sectors and present a structured model to identify interdependencies among them.

The barriers to implementing RL in CRIP sectors in India were identified using a Delphi study. The interdependencies were identified using Interpretive Structural Modeling (ISM). Further, using the Matriced' Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis, the barriers were classified on the basis of their driving power and interdependencies.

The study has identified ten barriers that can hamper the application of an RL system in CRIP sectors. The finding of the ISM model shows that macro level barriers such as lack of awareness of reverse logistics, insufficient government policies and unavailability of standard codes stimulate each other and also drive all other barriers. The organization-specific barriers operating at the strategic/tactical level, namely, company's rigid mechanism, lack of awareness of economic profits, inadequate company’s organizational policies and lack of training, reluctance from stakeholders, scarcity of resources and finance from company are found at the intermediate level of hierarchy and they can be influenced by the barriers at the lower level and influence the barriers on the and higher levels. The operational level barrier namely “Inadequate Information Technology system” is at the top of the hierarchy and can be driven by all the barriers at the lower level.

The present findings are based on the opinions of experts only from Indian CRIP sectors so the results may require to be validated in other contexts.

The structural model presenting the interdependencies will be a guide for the CRIP supply chain professionals in understanding and ranking the barriers they may face while implementing the RL system.

The study contributes to the existing literature by providing a set of barriers and their interdependencies faced during the implementation of an RL system implementation in CRIP sectors. It is one of the first studies which identifies barriers applicable to the CRIP firms in India and models their inter-dependencies. Additionally Consequently, these firms can make a move forward towards a circular economy by overcoming these interlinked barriers.

The purpose of this paper is to propose a low carbon culture (LCC) adoption model for gaining the right carbon capabilities by integrating the dimensions of flexibility or control and external or internal of competing values framework (CVF) with that of level of carbon emission (LCE).

This study reviewed literature related to low carbon supply chain, CVF and carbon capabilities to synthesize currently available frameworks for assessing culture and carbon-related insights. Based on these insights, this study proposes the carbon culture adoption model and presents some research propositions.

This study has extended categorization of culture suggested in CVF from four categories to eight distinct categories by adding “LCE” as a third dimension. The new categories of carbon culture are: “Red,” “Antagonist,” “Obligatory,” “Early Adopter,” “Follower,” “Transitive,” “Pragmatist” and “Green.” This categorization of organizations would help in selecting appropriate low carbon practices (LCPs).

This study presents purely conceptual framework with some research propositions which needs to be empirically tested.

Organizations can formulate right policies for low carbon capabilities based on the LCC of their supply chain.

With increasing awareness about environment across stakeholders, organizations around the world are under pressure to reduce their carbon footprints. The extent of reduction in carbon footprints depends on the right capabilities across the supply chain which in turn depends on selection of the right combination of LCPs based on the supply chain culture.

The present study proposes a model to examine the cultural fit between buyers and suppliers for establishing synergies in their processes and practices.

This study assessed buyers' culture through the Competing Values Framework and used Quality Management Practices Model as a proxy to assess suppliers' culture. The data from 262 paired respondents were used for this analysis. This survey was administered in India, using linear snowball-sampling technique. This study applied 3SLS regression for each culture group separately.

This study has instituted the cultural fit between the buyers' and suppliers' culture. It is observed that for getting synergies between cultures, buyers need to choose a set of suppliers which have similar cultural traits.

This study presents empirical findings based on data from Indian manufacturing firms. These findings need testing in other developing countries and other sectors.

Organizations can formulate right policies for supplier selection based on the cultural fit between buyers and suppliers.

With increasing role of suppliers in the value chain, organizations around the world need to work with the right suppliers for gaining a sustainable competitive advantage. Selection of the right suppliers depends on the cultural fit between buyers and suppliers that, in turn, depends on the selection of the right suppliers based on the prevailing culture.

The purpose of this paper is to establish the relationship between organizational culture (OC) and total quality management (TQM) practices in the Indian construction industry.

A questionnaire survey was conducted to draw valid empirical data from 200 construction firms in India. The dominant culture was identified using cluster analysis.

The findings of cluster analysis show four emergent clusters, namely, internal, flexible, comprehensive and control. The OC profile of the Indian construction organizations is dominated by internal focus characterized by the features of both group and hierarchical cultures of Competing Values Framework (CVF). Furthermore, the results revealed that the comprehensive focus culture is the most suitable culture in addition to the internal and flexibility focus cultures for the implementation of TQM in India.

Before implementing the TQM practices, managers in construction organizations need to be aware of cultural orientation emphasized in their organizations to facilitate the effective implementation of TQM.

This paper contributes to the existing literature by providing empirical evidence that leads to the association between OC and TQM practices. The study proposes besides the internal and flexibility focus cultures, the comprehensive focus culture within the Indian construction industry are key drivers for the successful implementation of TQM practices.

The purpose of this paper is to develop a framework for mapping the Indian Public Distribution System (PDS) using multi-agent system (MAS). The entire PDS supply chain from purchase to the distribution is mapped in detail by integrating stages of PDS supply chain.

Literature related to PDS, food grain supply chain (FGSC) and MAS is reviewed and critically assessed. Based on this a framework is proposed which will help in improving functioning of PDS.

The PDS has many shortcomings arising from its complex structure and practices which are used to implement it. The authors propose an MAS to model it in which each entity will be modelled as an agent. The authors propose two stages of supply chain. First stage models the processes from procurement to storage of food grain and second stage model the distribution process.

This paper will be of interest to the policy makers and decision makers involved in the PDS by providing the shortfalls in the system and also suggesting a method to model the PDS based on practices of food supply chains.

This paper provides the decision makers in the PDS, a framework to model and assess the entire supply chain. This will help them in effective implementation of the PDS and also improve in the areas of concerns which are pointed the study.