The issue of sustainability has become a vital discussion in many industries within the public and private sectors. In the business realm, incorporating such practices allows organizations to re-design their operations more effectively. Green Supply Chain Management for Sustainable Business Practice examines the challenges and benefits of implementing sustainability into the core functions of contemporary enterprises, focusing on how green approaches improve operations in an ecological way. Highlighting key concepts, emerging innovations, and future directions, this book is a pivotal reference source for professionals, managers, educators, and upper-level students.

This book consists of four discrete studies. The first study deals with the development of a multi-echelon simulation model. It is demonstrated that design parameter values that give very poor dynamics across the whole supply chain do not necessarily yield poor dynamics within a single echelon, so it is essential to consider the whole supply chain when setting parameter values. The second study deals with order batching. It is found that the relationship between batch size and demand amplification is non-monotonic. The results show that when the quotient of the average demand and batch size is integer, demand amplification does not grow with the increase in batch size. The third study explores the stability boundaries of a multi-echelon capacity constrained supply chain and evolves the policies that minimize the backlog bullwhip effect. The last study deals with the net variance ratio induced by different forecasting techniques with an order-up-to level stock replenishment policy. It is seen that the bullwhip effect and inventory variances have distinct properties depending on the demand forecasting technique.