Reverse logistics has become a competitive need for sustainability. Lack of resources to apply reverse logistics solutions has severely impacted many supply chains’ costs and customer service, making it impossible to meet the expectations of return processing. In those conditions, client demands for higher service quality are the main drivers of effective sustainability operations. This study aims to establish the sustainable reverse logistics service quality (SRLSQ) theoretical framework offered by reverse logistics services providers (RLSPs). The study conducts a systematic methodology protocol by examining reliable academic periodicals using PRISMA guidelines based on the research scope and identified 56 papers from 2011–2022, with the main research focus on SSQ and RLSQ dimensions to develop a research framework. By re-evaluating those factors using the SRLSQ framework and by including sustainability into the service quality approach, this study expanded the practicability of reverse logistic service quality and sustainable service quality. The results point to a knowledge gap when it comes to quantifying the impact of reverse logistics operation process through a triple bottom line approach on customer outcomes, relationship quality (RQ), and mediation of operation risk factor, which could be examined within various contexts in subsequent work.

This paper presents an inventory control problem in a private pharmaceutical distribution company from the Republic of Serbia. The company realizes that distribution within nine neighbouring countries and inventory control in the pharmaceutical supply chain is centralized. In order to constitute a conceptual model of the problem, we propose the modern control theory concept. The conceptual model is based on the specific practical assumptions and constraints of the supply chain. Thereafter, a dynamic discrete mathematical model of inventory control is formulated to reflect elements of the system and their relations. The model considers multiple pharmaceutical products, variable lead time, realized stochastics and deterministic demand, and different ordering policies (Lot for Lot and Fixed Order Quantity). Deterministic demand is represented as a sales forecast for each product per month, while stochastic demand is generated as a random variation of sales forecast in a range of ±20%. Two objective functions are defined as the maximization of the difference between planned average inventory level and realized average inventory level, and the minimization of stock-out situations. We develop a procedure for the determination of reorder points and the number of deliveries to achieve proposed objective functions. The model overcomes shortages of theoretically-based distribution requirements planning models and offers solutions to the limitations in inventory control practice. Real-life data, collected over two years, are used for the validation of the proposed model and the solution procedure. Numerical examples illustrate the model application and behaviour.

Modern environmental and economic challenges in waste management require transition from linear to circular economic flow. In practice, this entails considerable challenges that include the change of material circle flux, the application of mathematical modelling and the use of life cycle thinking – also in the field of recovered wood (RW). To this end, the reverse logistics process model CATWOOD (CAscade Treatment of WOOD) with mechanistic modelling for detailed planning of the RW reverse flow with regular collection, innovative (cascade) sorting based on RW quality and environmentally sound recovery has been designed. As a decision support, the quantitative methods of life-cycle assessment (LCA) and societal life-cycle costing (SLCC) have been incorporated into the CATWOOD, which can choose among a few alternative scenarios. A case study has been performed in the Posavje region in Slovenia, which has discovered that reverse logistics scenarios for reuse are environmentally friendlier than those for recycling or energy recovery, but also more costly, mainly because of extensive manual labour needed and less heavy technology involved in sorting and recovery processes. Sensitivity analysis has exposed that modifying the values of the input parameters may change the final LCA and SLCC results in scenarios observed.

Deriving from insights gained in a concrete empirical quantitative modelling research, the aim of the paper is to present the methodology and results of a Packaging Waste (PW) logistics exploratory study that was conducted in cooperation with a leading southeastern European retail chain company. PW Reverse Logistics (RL) is specific, but an integral part of retail operations and can also represent significant logistics and transportation costs concerns. In our research, we have, with a simulation model, been able to reduce the number of tonne-kilometres for 55% which represents significant cost reduction. The study scope focuses on the RL of industrial PW as the handling object of interest in retail, decoupled from the possible returns flow of non-food items and waste generated on premise by shoppers and employees, classified as non-industrial. It introduces an analytical framework, which has been tested and applied to a real case problem.

Circularity of bulky waste: a case study of krško in Slovenia

Reverse logistics is a relatively new research area, both in theoretical and empirical terms. Due to the requirements of modern civilization, the present society produces more and more material goods that satisfy it different needs. The consequences of these actions include a huge amount of waste both during production of these goods as well as after their use. The article defines the concept of reverse logistics. Consider problems in reverse logistics in agriculture, organization of reverse logistics operations and ways to improve reverse logistics operations.