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To achieve competitive advantage, companies have been driven to improve their supply chain by outsourcing their non-core business. However, this increases the external risks, such as the demand and supply risks. Companies face challenges in defining effective supply chain topology to mitigate supply chain risks. In this research, we design supply chain network topologies to mitigate the demand and...
Under “Cap-and-Trade” conditions, a manufacturer is restricted in total carbon dioxide equivalent (CO2e) emission through an initial allocation of emission quotes (EQ), but allowed to purchase emission quotes (i.e. commercialized permits for emitting CO2e) to satisfy additional needs via a trading market. Alternatively it can reduce its emission through self-purification (SP) to decrease its need...
Variable annuities are long-term investment vehicles that have grown rapidly in popularity recently. One major feature of variable annuities is that they contain guarantees. The guarantees embedded in variable annuities are complex and the values of the guarantees cannot be obtained from closed-form formulas. Insurance companies rely heavily on Monte Carlo simulation to calculate the fair market values...
This work simulated some alternatives of dynamic allocation of additional human resources in a company that produces various products from Pupunha palm. Its goal was to increase the average amount of trays produced per day in this line through a hybrid application of discrete event and agent-based simulation. Two different decision-making forms were proposed to find out which workstation should have...
The weather is unpredictable and can have a large impact on the profitability of seasonal businesses, particularly if staffing requirements are highly temperature-dependent. In this paper we describe our efforts in developing a what-if analysis tool to assist affected Small and Medium Enterprises in determining the best case scenario for timing hiring new staff and deciding the optimum length of temporary...
It is often taken for granted that the right products will be available to buy in retail outlets 7 days a week, 52 weeks a year. Challenges in achieving this continued on-shelf availability range from recession hit demand patterns to cost reduction driven strategies. Irish government initiatives to brand the country as a sustainable, reliable provider of food retail supply chains has resulted in increased...
This paper presents the architecture and working principles of a Decision Support System (DSS) for logistics networks. The system relies on a data-driven discrete-event simulation model. A brief introduction to Reinforcement Learning (RL) and an explanation of the adoption of RL to the concepts of the DSS is given. An illustration of the realization is presented using a specific aspect of a logistics...
This paper describes a decision support system (DSS) built on knowledge extraction using simulation-based optimization and data mining. The paper starts with a requirements analysis based on a survey conducted with a number of industrial companies about their practices of using simulations for decision support. Based upon the analysis, a new, interactive DSS that can fulfill the industrial requirements,...
Lean and simulation analysis are driven by the same objective, how to better design and improve processes making the companies more competitive. The adoption of lean has been widely spread in companies from public to private sectors and simulation is nowadays becoming more and more popular. Several authors have pointed out the benefits of combining simulation and lean, however, they are still rarely...
The aim of the PhD research was to contribute to improving fisheries management. The overall purpose was to select applicable modeling techniques, develop models and simulate the dynamics of fisheries management with the aim of comparing different management strategies by looking at their impact on selected indicators. The indicators are biological, economic or social. The main contribution of the...
We combine in this paper an existing Agent-Based Model (ABM) of transitions in ship propulsion technologies with an expectations formulation from System Dynamics (SD). The reason for doing this was to take the best of two worlds, meaning that it may be able to implement another set of decision rules using SD than it is possible by solely employing ABM. In the ship model diffusion pathways are determined...
Given the vital role of distribution units within the supply chains, this research aims to develop a comprehensive lean assessment framework that integrates Modelling and Simulation with Value Stream Mapping (VSM) and Data Envelopment Analysis (DEA) to assess the ‘leanness’ level in distribution business. The framework is applied on a distribution centre of a leading European company in the tyre manufacturing...
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