Closed Loop Supply Chain, Green Supply Chain

More attention has been given on consumer's behavioral attitude towards remanufactured products in closed-loop supply chain literature. Till date, no research has been carried out on consumers' intention towards returning the used products. The aim of this research is to develop a theoretical model to examine the intention and perception of consumers' for retuning the used products and to explore the various cues that consumers use for returning the End–of-use and End–of-life products. The model is examined through an empirical study and the developed hypotheses are tested by conducting a survey among the college graduated students and others (job holder and non-job holder) for specified electronics products. Finally, the extent of return intention index of the consumers is computed using the structural equation modeling. The results revealed that return intention is positively influenced by the perceived benefit and social awareness, whereas negatively influenced by the perceived risk.

Our report aims to explore recent advances in EPR and to provide recommendations for the stakeholders involved in this market. After a brief introduction on the history of EPR in Europe, we
discuss pending issues in the current practice of EPR, with particular emphasis on the WEEE Directive and its Recast as they are the focus of recent discussions on implementation. Then, based on a series of interviews with a set of stakeholders, we analyze the perspectives and key concerns regarding EPR implementation.

Koncepcja zarządzania zamkniętą pętlą łańcucha dostaw jest bardzo popularnym kierunkiem badań oraz działań przedsiębiorstw. Wiąże się ze skupieniem wysiłków m.in. na zagospodarowaniu pozostałości produkcyjnych (produktów ubocznych i odpadów) w taki sposób, aby zminimalizować poziom odpadów przekazywanych na wysypiska lub do spalarni. Niniejszy artykuł dotyczy zastosowania tej koncepcji w przemyśle spożywczym, który z racji swojej specyfiki generuje wiele wyzwań dla zarządzania logistyką, również w sferze ponownego zagospodarowania. W artykule scharakteryzowano wspomnianą koncepcję i przedstawiono przykłady jej zastosowania w sektorze spożywczym.
Słowa kluczowe: zamknięta pętla, logistyka, łańcuch dostaw, logistyka zwrotna, sektor spożywczy, fmcg

The concept of closed-loop supply chain management is a very popular direction of research and companies' activities. It is associated with efforts like managing production residues (by-products and waste) in such a way as to minimize the level of waste transferred to landfills or incinerators. This article relates to the use of this concept in the food industry, which by its very nature, generates a lot of challenges for logistics management, also in the area of reverse flows. The article characterizes aforementioned concept and provides examples of its use in the food sector.

abstract: The concept of closed-loop supply chain management is a very popular direction of research and companies' activities. It is associated with efforts like managing production residues (by-products and waste) in such a way as to minimize the level of waste transferred to landfills or incinerators. This article relates to the use of this concept in the food industry, which by its very nature, generates a lot of challenges for logistics management, also in the area of reverse flows. The article characterizes aforementioned concept and provides examples of its use in the food sector.

Green supply chain management in consequence of global warming, in particular, closed-loop logistics, has drawn the attention researchers. Moreover, accounting of uncertainty in supply chain network design will lead to more realistic problem as a result of inherent uncertain parameters such as customer demand in establishment of closed-loop logistics network design problem. This paper proposes a multi-period-stage closed-loop logistics network design under risk incorporating the strategic network design decisions along with tactical material flow to avoid sub-optimalities led from separated design in both parts. The proposed network structure includes suppliers, plants, distribution centers in forward direction and collection/inspection centers, and redistribution centers in reverse direction. The demands of first market customer zones are assumed stochastic. The problem is formulated in a mixed integer non-linear programming (SMINLP) decision making form as a multi-stage stochastic program with objective function maximizing the total expected profit.

Mathematical model of a multi-product multi-period multi-echelon closed-loop supply chain network design under uncertainty is designed in this paper. The designed network consists of raw material suppliers, plants, warehouses, distribution centers and customer zones in forward chain and collection centers, repair centers, recovery/decomposition center and disposal center in reverse chain. The goal of the model is to determine the quantities of products and raw material transported between the supply chain entities in each period by considering different transportation mode, the number and locations of the potential facilities, the shortage of products in each period, and the inventory of products in warehouses and plants with considering discount and uncertainty parameters. The robust possibilistic optimization approach was used to control the uncertainty parameter. At the end to solve the proposed model, five meta-heuristic algorithms include genetic algorithm, bee colony algorithm, simulated annealing, imperial competitive algorithm and particle swarm optimization are utilized. Finally, some numerical illustrations are provided to compare the proposed algorithms. The results show the genetic algorithm is efficient algorithm for solve the designed model in this paper.