orldwide, chemotherapy centers that provide outpatient services face significant challenges owing to increased demand and limited resources. Therefore, outpatient chemotherapy process (OCP) optimization has attracted the attention of operations management scholars. This review seeks to provide a...

Human operators will remain to play an essential role in picker-to-parts order picking systems despite increasing digitalization and automation of warehouse processes. While manual order picking is a laborious and cost-intensive task in warehousing, it is extensively examined in the logistics...

Optimization models enable organizations to find the best solution and respond to the demand from an uncertain environment and stochastic process promptly and with less engineering effort. This study aims to optimize the number of seasonal agents and customer prioritization needed for a call...

Higher education institutions (HEIs) create, disseminate, and share knowledge through relationships involving people, processes, and technologies. Tacit knowledge is difficult to formalize and depends on social context. Its sharing is influenced by individual, organizational, and structural...

Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with...

Germany's energy transition is associated with increasing congestion in the electricity transmission grids due to increasing infeed from renewable energy sources, especially from wind turbine installation at the periphery in coastal areas. Here, regional differences in generation and demand lead...

Background: Nowadays, variable domination structure is instrumental in studying multiobjective decision making problems. We investigate multiobjective location problems with respect to variable domination structure and its applications in supply chain management. Methods: We formulate practical...

A cross-docking terminal enables consolidating and sorting fast-moving products along supply chain networks and reduces warehousing costs and transportation efforts. The target efficiency of such logistic systems results from synchronizing the physical and information flows while scheduling...

In this paper, we study the hierarchical hub network design problem with a ring-star-star structure. In this problem, the hubs are located in two layers. In the first layer, central hubs (main hubs) are located in a ring structure, and in the second layer, secondary hubs are located. Each...

We propose a new mixed integer programming based heuristic for computing new benchmark primal solutions for instances of the PESPlib. The PESPlib is a collection of instances for the Periodic Event Scheduling Problem (PESP), comprising periodic timetabling problems inspired by real-world railway...

We now know that research findings favorable to the sponsor of the research should be discounted on the grounds of conflict of interest (e.g., tobacco companies or pharma companies). Incentives distort research findings. Is the same true in the field of finance? I argue that economic incentives...

Global environmental problems have become increasingly prominent, and China, as one of the world's major powers, should take action. China promises to achieve a "carbon peak" by 2030, and carbon dioxide emissions will no longer increase, and will gradually decrease after reaching the peak. To...

Motivated by the advantage of just-in-time philosophy, zero-inventory is common in many industries, especially the ones that need fast response with a short lifespan. Accordingly, this paper focuses on coordinated production scheduling and distribution operation problems considering DeJong’s...

This special issue of Business Systems Research (SI of the BSR) is co-published by the Slovenian Society INFORMATIKA - Section for Operational Research (SSI-SOR) and highlights recent advances in Operations Research and Management Science (OR /MS), with a focus on linking OR /MS with other areas...

Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In...

In this study I analyze how lottery framing and lottery display type affect the degree of higher-order risk preferences. I explore differences by comparing reduced and compound lottery framing, and by comparing lotteries in an urn-style and in a spinner-style display format. Overall, my findings...

Traditionally, mathematical optimization methods have been applied in manufacturing industries where production scheduling is one of the most important problems and is being actively researched. Extant studies assume that processing times are known or follow a simple distribution. However, the...