The ontology of causal process theories

There is a widespread belief that the so-called process theories of causation developed by Wesley Salmon and Phil Dowe have given us an original account of what causation really is. In this paper, I show that this is a misconception. The notion of "causal process" does not offer us a new ontological account of causation. I make this argument by explicating the implicit ontological commitments in Salmon and Dowe's theories. From this, it is clear that Salmon's Mark Transmission Theory collapses to a counterfactual theory of causation, while the Conserved Quantity Theory collapses to David Fair's phsyicalist reduction of causation

Potentiality in Biology

We take the potentialities that are studied in the biological sciences (e.g., totipotency) to be an important subtype of biological dispositions. The goal of this paper is twofold: first, we want to provide a detailed understanding of what biological dispositions are. We claim that two features are essential for dispositions in biology: the importance of the manifestation process and the diversity of conditions that need to be satisfied for the disposition to be manifest. Second, we demonstrate that the concept of a disposition (or potentiality) is a very useful tool for the analysis of the explanatory practice in the biological sciences. On the one hand it allows an in-depth analysis of the nature and diversity of the conditions under which biological systems display specific behaviors. On the other hand the concept of a disposition may serve a unificatory role in the philosophy of the natural sciences since it captures not only the explanatory practice of biology, but of all natural sciences. Towards the end we will briefly come back to the notion of a potentiality in biology

Developing Talent from a Supply-Demand Perspective: An Optimization Model for Managers

While executives emphasize that human resources (HR) are a firm's biggest asset, the level of research attention devoted to planning talent pipelines for complex global organizational environments does not reflect this emphasis. Numerous challenges exist in establishing human resource management strategies aligned with strategic operations planning and growth strategies. We generalize the problem of managing talent from a supply-demand standpoint through a resource acquisition lens, to an industrial business case where an organization recruits for multiple roles given a limited pool of potential candidates acquired through a limited number of recruiting channels. In this context, we develop an innovative analytical model in a stochastic environment to assist managers with talent planning in their organizations. We apply supply chain concepts to the problem, whereby individuals with specific competencies are treated as unique products. We first develop a multi-period mixed integer nonlinear programming model and then exploit chance-constrained programming to a linearized instance of the model to handle stochastic parameters, which follow any arbitrary distribution functions. Next, we use an empirical study to validate the model with a large global manufacturing company, and demonstrate how the proposed model can effectively manage talents in a practical context. A stochastic analysis on the implemented case study reveals that a reasonable improvement is derived from incorporating randomness into the problem

A Multi-Objective Optimization for Supply Chain Network Using the Bees Algorithm

A supply chain is a complex network which involves the products, services and information flows between suppliers and customers. A typical supply chain is composed of different levels, hence, there is a need to optimize the supply chain by finding the optimum configuration of the network in order to get a good compromise between the multi-objectives such as cost minimization and lead-time minimization. There are several multi-objective optimization methods which have been applied to find the optimum solutions set based on the Pareto front line. In this study, a swarm-based optimization method, namely, the bees algorithm is proposed in dealing with the multi-objective supply chain model to find the optimum configuration of a given supply chain problem which minimizes the total cost and the total lead-time. The supply chain problem utilized in this study is taken from literature and several experiments have been conducted in order to show the performance of the proposed model; in addition, the results have been compared to those achieved by the ant colony optimization method. The results show that the proposed bees algorithm is able to achieve better Pareto solutions for the supply chain problem

A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc

Hierarchical time series demands exist in many industries and are often associated with the product, time frame, or geographic aggregations. Traditionally, these hierarchies have been forecasted using top-down, bottom-up, or middle-out approaches. The question we aim to answer is how to utilize child-level forecasts to improve parent-level forecasts in a hierarchical supply chain. Improved forecasts can be used to considerably reduce logistics costs, especially in e-commerce. We propose a novel multi-phase hierarchical (MPH) approach. Our method involves forecasting each series in the hierarchy independently using machine learning models, then combining all forecasts to allow a second phase model estimation at the parent level. Sales data from MonarchFx Inc. (a logistics solutions provider) is used to evaluate our approach and compare it to bottom-up and top-down methods. Our results demonstrate an 82-90% improvement in forecast accuracy using the proposed approach. Using the proposed method, supply chain planners can derive more accurate forecasting models to exploit the benefit of multivariate data.Comment: 25 pages, 2 figures, 8 table

The role of universities and business schools in developing leadership

When still waters become turbulent, everybody knows it is important to adjust the ship — the sails must be trimmed and loose objects tightened. If the storm continues it might be necessary to adjust the ship’s course — and maybe even find more friendly seas to explore. Key Points • The skills and competencies required for leadership differ from those required for management. • Leaders require a deep understanding of trust and relationship management. • Leaders must challenge the status quo, look to the future and develop new ideas. • Business schools and universities have recognized the importance of developing leadership skills and competencies, and offer a broad range of education and training. • This education and training specifically focuses on learning by doing, and by connecting theory and practice, by using real life cases. • Business schools and universities constantly seek to improve their courses, and are always open to input and new ideas

Supply Chain Management: Supplier Performance and Firm Performance

This research examines the relationship between supply chain management (SCM) practices, supplier performance, and company performance. The results provide empirical evidence that selected purchasing practices and customer relation practices are strongly ssociated with the perceived financial and market success of firms responding to the survey

A new acquisition model for the next disaster: overcoming disaster federalism issues through effective utilization of the Strategic National Stockpile

Using primary data collected from interviews with federal and state government officials and secondary data related to PPE distribution and state healthcare statistics, we discovered evidence that the use of the Strategic National Stockpile (SNS) to distribute personal protective equipment to state and local agencies in need during the height of COVID-19 was indeed poorly designed to cope with the COVID-19 emergency, leaving many states with shortages of badly needed medical supplies. As a result, many states struggled to organize an uncoordinated procurement response – which we suggest is due to federalism issues. To overcome federalism challenges and increase future disaster preparedness, we recommend four necessary reforms to the SNS that include 1) the incorporation of uncompensated industry experts into SNS administration, 2) the provision of an emergency production board for times of crisis, 3) elevated political leadership for the SNS, 4) improvement of federal-state supply chain governance