We consider an overlapping generations version of a model suggested by Fargione, Lehmann and Polasky that allows us to show, by means of simulations, that randomness of the rate of return on capital, combined with inheritance of capital and consumption being a concave function of wealth may lead...

Background: Agriculture plays a key role in Colombia's economy. However, the sector faces persistent logistics, infrastructure, and supply chain integration challenges that hinder its development. While background studies have primarily addressed socio-economic needs and strategies to overcome...

This work studies the Hotelling game with sequential choice of prices, that is, the Stackelberg-Hotelling (SHOT) game. The game is studied through numerical simulation, which provides the subgame perfect equilibrium solution not only in the unrestricted game but also in the game with reservation...

Purpose: The buffer allocation problem (BAP) arises in the design of production systems; it involves analyzing and defining the optimal distribution of buffers within a production line. This paper presents a BAP formulation in a parallel series line from a cup sublimation process with unreliable...

Models involving human decision-makers often include idealized assumptions, such as rationality, perfect foresight, and access to relevant information. These assumptions usually assure the models' internal validity but, at the same time, might limit the models' power to explain empirical...

Purpose: Although the authors of the Demand Driven Material Requirements Planning (DDMRP) argue that the method DDMRP is the solution to the limitations of traditional production management methods, its capacity management system remains unclear. Since DDMRP operates at infinite capacity, it is...

This study employs computable general equilibrium (CGE) model to estimate the effect of increase in value added tax (VAT), from 5 per cent to 7.5 per cent, on import demand and sectoral output in Nigeria. The study uses 2020 as the base year for the data analysis. The results show that increase...

Background: This study addresses optimising fleet size in a system with a heterogeneous truck fleet, aiming to minimise transportation costs in interfacility material transfer operations. Methods: The material transfer process is modelled using a closed queueing network (CQN) that considers...

Background: Despite the fact that some results can be found for the logistics simulation in the literature, there is a lack of an experiment based on inner company data. Therefore, the study aimed to determine the potential need for this kind of solution by Zala County enterprises. Methods: As a...

The electricity grid includes multiple network areas managed by different operators, with transmission system operators (TSOs) handling high-voltage areas and distribution system operators managing midto low-voltage areas. These areas are interconnected and synchronized, creating classical...

This paper uses two methodologies to explore the extent to which greater labor force participation among older Malaysians can expand Malaysia's labor supply. The Milligan-Wise method estimates the potential to increase the labor force participation rate of older Malaysians by estimating how much...

Background: In the pursuit of sustainable energy sources, residual biomass has emerged as a promising renewable resource. However, efficiently managing residual biomass poses significant challenges, particularly in optimizing supply chain operations. Advanced modeling approaches are necessary to...

Background When pairwise comparisons are used to express preferences for alternatives or judgments on criteria's importance, several methods can be used to derive priorities in multi-criteria decision-making. In the case of inconsistency, different methods give different results. Objectives The...

We analyze persistence in marijuana consumption utilizing data from the 1997 cohort of the National Longitudinal Survey of Youth (NLSY97). We allow for three sources of persistence: pure state dependence, time invariant unobserved heterogeneity and persistence in idiosyncratic, time-varying...

Cryptocurrencies have increasingly attracted the attention of several players interested in crypto assets. Their rapid growth and dynamic nature require robust methods for modeling their volatility. The Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) model is a well-known...

Purpose: This article seeks to establish a statistical analysis to estimate the time of stoppages in a stamping line, which have a high variability that generates an unreliable scenario for the production program. Likewise, this document shows the methodological sequence to carry out a...

A new first-order integer-valued autoregressive process (INAR(1)) with extended Poisson innovations is introduced based on a signed version of the thinning operator, called relative binomial thinning operator, which can be considered as an extension of standard binomial thinning operator...