In the context of the circular economy, this paper focuses on developing an optimal
sustainable Closed-Loop Supply Chain (CLSC) by considering such Carbon Emission …

Reverse logistics has acquired a boost because of various government legislation and
several environmental, economic and social reasons. Different optimization approaches are …

This paper proposes a novel risk-based robust mixed-integer linear programming to design
a decentralized closed-loop supply chain. The model is formulated as an uncertain bi-level …

Coordinating activities among multiple independent entities in decentralized supply chain
(DSC) systems are essential to ensure the smooth flow of products and/or services. The …

The increase in the development of proper channels for recycling and disposal of the
manufactured products have motivated the study of closed loop supply chains. The closed …

Stratified sampling, a widely-applicable probabilistic technique, is especially suited for large
and heterogeneously distributed populations. This paper studies optimal allocation of …

This paper presents a novel decentralized decision support system to optimally design a
general global closed-loop supply chain. This is done through an original risk-based robust …

Purpose This paper aims to develop a grey decentralized bi-level multi-objective
programming (MOP) model. A solution approach is also proposed for the given model. A …

In this paper, we have studied supplier selection Problem (SSP) with reference to carbon
footprint associated with the activities of each supplier. Carbon footprint in the proposed …

In this paper we addressed supply chain network (SCN) as bi-level programming problem in
which the primary objective is to determine optimal order allocation of products where the …