Supply Chain Resilience: Definitions and quantitative modelling approaches – A literature review

The production and consumption practices that follow the “take-make-dispose” flow have negatively impacted the environment over time. This has propelled the society to evaluate and seek sustainable development options, where Circular Economy (CE) emerged as a relevant concept. This embraced the accountability for reverse logistics of the end-of-life products, which is seen as a costly and complex effort to be managed. This article develops a taxonomy for critical success factors (CSFs) of the reverse logistics capable of creating value for the company and its supply chain, from the perspective of the CE technical cycle, and provides a framework that represents the relationship between the CSFs and reverse logistics in the context of the circular supply chain. The methodology adopted was the tertiary literature review using content analysis with a sample of 66 reviews. The proposed taxonomy embraced five CSFs: Material Planning and Management, Life Cycle Assessment, Industrial Sustainability, Information and Communication Technology, and Promoters and Relationships. The framework illustrates how each component of the circular supply chain (i.e. Circular Inputs, Product Design, Process Design and Circular Flows) is influenced by the five CSFs of the reverse logistics obtained, highlighting the Promoters and Relationships CSF, since it influences all components of the circular supply chain and, consequently, reverse logistics.

Interplay between reverse logistics and circular economy: Critical success factors-based taxonomy and framework

Over the past few years, a growing concern has been noticed among society, government and non-government organisations for conserving the environment and adopting Sustainable Supply Chain management (SSCM) practices. However, it is not simple for industries to develop sustainability in their business operations and activities especially in emerging economies. In this sense, the purpose of present research is to recognise and analyse various strategies to implement SSCM practices in Indian context. Present research has recognized nine key strategies. Due to qualitative nature of research, Interpretive Structural Modelling (ISM) methodology integrated with fuzzy MICMAC analysis to further refine the hidden relationship between strategies has been attempted. The identified SSCM strategies have been categorized based on their dependence and driving power. ISM methodology offers merely binary relationship among strategies, whereas fuzzy MICMAC analysis gives accurate investigation related to dependence and driving power of strategies. Findings reveals that ‘Management involvement, support and commitment’; ‘Understanding of the sustainability impacts of their supply chain’ and ‘Establishing a vision and objectives for supply chain sustainability’ are the strategies with the topmost independence powers. The developed model will help in uncovering the interaction and dependence among the identified strategies in implementation of SSCM practices from industrial viewpoint. The inputs of experts from academia and Indian automotive manufacturing firms have been used in this research. The present work will facilitate automotive and related firms in prioritisation of strategies and managing resources in a most sustainable way in an emerging economy context.

When strategies matter: Adoption of sustainable supply chain management practices in an emerging economy's context

Supply chain sustainability: A tertiary literature review

Logistic networks intensely use means of transportation and storage facilities to deliver goods. However, these logistic networks are still poorly interconnected and this fragmentation is responsible for a lack of consolidation and thus efficiency. To cope with the seeming contradiction of just-in-time deliveries and challenging emissions targets, a major improvement in supply networks is sought here. This new organisation is based on the universal interconnection of logistics services, namely a Physical Internet where goods travel in modular containers for the sake of interconnection in open networks. If from a logical point of view, merging container flows should improve efficiency, no demonstration of its potential has been carried out prior to the here reported research. To reach this potentiality assessment goal, we model the asynchronous shipment and creation of containers within an interconnected network of services, find the best path routing for each container and minimise the use of transportations means. To carry out the demonstration and assess the associated stakes, we use a set of actual flows from the fast-moving consumer goods sector in France. Various transportation protocols and scenarios are tested, revealing encouraging results for efficiency indicators such as CO2 emissions, cost, lead time, delivery travel time, and so forth. As this is a first work in the field of flows transportation, the simulation model and experiment exposes many further research avenues.

Interconnected logistic networks and protocols: simulation-based efficiency assessment

Opportunities and challenges in sustainable supply chain: An operations research perspective

Architectural concrete has been used widely in contemporary architecture, especially because of the growing evolution associated with its shape, texture, and color. Thus, it is important to...

Inspection, Diagnosis, and Repair System for Architectural Concrete Surfaces

This paper describes a statistical survey on the pathology of architectural concrete surfaces, based on the inspection of 53 Portuguese buildings (110 surfaces). The most common type of ano...

Statistical Survey on Inspection, Diagnosis, and Repair of Architectural Concrete Surfaces

Environmental monetization and risk assessment in supply chain design and planning

Nowadays the growing concerns about the environment and society in general led companies to invest in a sustainable development. In this way, companies’ design and planning decisions need to encompass simultaneously economic, environmental and social concerns. In addition, considering the complexity associated with market uncertainties, there is the need to consider risk management. This work is developed along this line and proposes a mixed integer linear programming model (MILP) that accounts for the economic and environmental performances in the same objective function by monetizing environmental impacts and simultaneously considering the most popular risk measures in the literature, CVaR. The goal is to maximize the difference between the expected net present value and the environmental impact while minimizing the associated risk. The augmented e-constraint method is used to generate a Pareto-optimal curve in order to determine the trade-off between the objective functions. Conclusions can be drawn based on decision makers’ risk profile as well as how monetization can support the decision maker’s decision. A European supply chain case study is explored.

Cátia da Silva

Papers

Opportunities and challenges in sustainable supply chain: An operations research perspective

Inspection, Diagnosis, and Repair System for Architectural Concrete Surfaces

Statistical Survey on Inspection, Diagnosis, and Repair of Architectural Concrete Surfaces

Environmental monetization and risk assessment in supply chain design and planning

Green Supply Chain: Integrating Financial Risk Measures while Monetizing Environmental Impacts