This research explores the causes and intensity of demand fluctuation and supply shortage of a supply chain (SC) occurred specially at the festival times. Management offers sales incentives & product discounts at festival times that sometimes create a complex situation to supply the demands properly. This complexity restricts SC performance and market possession. Hence, this research aimed to explore the responsible causes behind this complexity & bullwhip occurrence and claimed sales force incentives, number of echelons, price variation, quantity discount, & machine breakdown as the most responsible causes. Intensity of bullwhip effect (BWE) was measured by Fuzzy Inference System (FIS) of MATLAB^TM to visualize their severity on SC performance. Few strategies have been proposed to minimize thier severity on SC excellence. Finally, this article proposed some managerial applications and guidelines to release the management from the frequently arising problems of distorted demands that will result in proper production & inventory management.

This study investigates the challenges in implementing blockchain technology (BT) in sustainable supply chain management (SSC). The study thoroughly analyzes the literature and expert opinions on BT, SCM, and sustainability. A total of 24 barriers are identified, categorized into the Internet of Things, strategic, supply chain, legislation, and external factors. The findings are evaluated using the Integrated Fuzzy TOPSIS–ISM tool. The results indicate that barriers related to the supply chain have the most significant impact on the adoption of BT in SSC. The study also reveals the interrelation among sub-barriers within the supply chain, providing valuable insights to improve adoption. Finally, a strategic action plan based on a fishbone diagram is provided to reduce the effects of supply chain barriers. This study provides a theoretical foundation for using BT to achieve long-term supply chain goals.

Green–lean supply chain management (GLSCM) refers to strategically adopting and coordinating environmentally sustainable practices and lean concepts in supply chain operations. A considerable set of factors needs to be identified to implement GLSCM successfully. This study examined the factors influencing green lean supply chain management implementation in the Readymade Garments Industries of Bangladesh through a literature review and discussions with field experts. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) approach is employed to analyze these factors to implement GLSCM effectively. This research identifies capacity utilization, green purchasing, and demand variation as the most influential factors in GLSCM, while quality improvement and the Kanban system are considered the least important factors. This study explored categorizing factors into the cause-and-effect group, the degree of interaction, and the interrelationship of the factors under consideration. The findings of this study may help managers develop an effective GLSCM system, hence increasing an organization’s total profitability.

An eco-friendly supply chain (SC) is greatly determined by travel economy and fuel consumption rate. This research considered these two critical factors and explored the relationship between travel economy and vehicle loads, and developed mathematical models in cold-chain logistics (MMCCL) to determine fuel consumption and carbon footprint in cold-chain logistics. Longer routes are more prone to degrade food quality and endanger environmental safety by producing more carbon contents. Considering this fact, we aimed to reduce carbon emissions while maintaining food quality. First, an empirical SC was divided into three possible routes, namely, single-route transportation (SRT), and multiple-route transportation (MRT-I and MRT-II). Later, the proposed MMCCL model was deployed on each route to determine the most carbon-efficient route and found SRT as more fuel-efficient than MRT-I and MRT-II by a margin of 64.52% and 12.78%, respectively. This resulted in the reduction of carbon footprint by cutting the fuel consumption by a significant amount while making the SC eco-friendly and safe. The results were thoroughly justified and evaluated with an appropriate case study in the context of the west southern part of Bangladesh.

Though Bangladesh is one of the largest garments manufacturing country in the world and there happened revolutionary changes more than four decades ago, they couldn’t achieve sustainable platform yet. The failure to achieve up to the requirement level for the competitive capabilities/manufacturing metrics is the common phenomenon for the manufacturers. Even there is an alarming issue that the manufacturers yet don’t know how they are affected by these failures and also can’t measure how much they are statistically fit. By being motivated from manufacturer’s failure, we worked on a manufacturing unit of a garments industry where we aggregated manufacturing metrics and determined how the manufacturers are affected by the failure of these metrics. This research work will conclude by proposing few models with their mathematical and graphical explanation. By using these models, the manufacturers will be able to determine their strategic fitness, security level, and associated loss/penalty.