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Design of capacitated degree constrained min-sum arborescence
The capacitated degree constrained min-sum arborescence problem consists of finding a directed spanning tree in a network to connect a set of...
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Neutrosophic goal programming approach for multi-objective fixed-charge transportation problem with neutrosophic parameters
In real-life optimization problems, due to some uncertainty and hesitancy, it might be challenging for the decision-makers to identify the precise...
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Unravelling commuters' modal splitting behaviour in mass transportation service operation
One important factor in determining whether commuters will use public transport is spatial accessibility rooted in the first-mile problem. This study...
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Solving the minimum-cost double Roman domination problem
Double Roman domination (DRD) is a combinatorial optimization problem posed on undirected graphs. It can be interpreted as allocating certain service...
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A model of online shop** cart abandonment: evidence from e-tail clickstream data
This research investigates online consumer behavior in an e-commerce context with a focus on consumer online shop** cart use and subsequent cart...
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COVID-19 Outbreak and Credit Constraints for Women-Led Firms
This chapter investigates whether gender-based discrimination exists in access to external finance by firms—due to culturally rooted prejudices and...
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A column-oriented optimization approach for the generation of correlated random vectors
To induce a desired correlation structure among random variables, widely popular simulation software relies upon the method of Iman and Conover (IC)....
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Loss-optimal classification trees: a generalized framework and the logistic case
Classification trees are one of the most common models in interpretable machine learning. Although such models are usually built with greedy...
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Revitalizing educational institutions through customer focus
Despite the importance of education in terms of spending and its impact, dissatisfaction with traditional public schools is growing due to students’...
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Prescriptive Analytics for Data-Driven Capacity Management
Prescriptive analytics approaches integrate machine learning prediction and optimization to directly derive decisions for planning problems from...
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In Search for the Holy Grail in Management Research: A Review of the Benefits of Business Model Innovation
During the last 20 years, business model innovation (BMI) has become a fundamental concept in strategic management and entrepreneurship research and...
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The reverse selective balance center location problem on trees
The classically balanced facility location problems aim to find the location of one or several new facilities such that some balanced function is...
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Drivers of sustained brand engagement: cases of long-term customers of hedonic and utilitarian brands in Japan
Brand engagement among customers is a dynamic process that requires continuous fostering by companies, irrespective of their products or brand...
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Robust vertex centdian facility location problem on tree networks
This paper studies the robust vertex centdian location problem on tree networks with interval edge lengths. To obtain a robust solution, we use the...
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Energy Efficiency Optimization Application in Food Production Using IIOT Based Machine Learning
The energy sources of the universe are limited and draining with increasing speed. One of the biggest consumption of energy is in the manufacturing...
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Cost accounting practices in SMEs: liability of age and other factors that hinder or burst its implementation in turbulent years
This study aimed to investigate the level of cost accounting (CA) implementation in small- and medium-sized enterprises (SMEs). CA is a management...
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Supply chain power strucutures – qualitative contributions on the influence ofdigitalization on power allocations along the supply chain
While the complexity of supply chains increases, market power is more often centralized to a few players within the chains. As an amorphously...
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On Risk Management of Multistage Multiscale FLP Under Uncertainty
A tight mixed integer linear programming modeling framework is presented for the multistage multiscale facility location multiproduct allocation...
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Public service innovation to fight corruption: metrics and policy in Mexico 2019–2022
The purpose is to identify and analyze some innovations in public services, PSI, between 2019 and 2022 to evaluate their attempts to deter corruption...
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Introduction
The concept of optimization is now well rooted as a principle underlying the analysis of many complex decision or allocation problems. It offers a...