Particularities of Solving the Problems of Support for Managerial Decision Making in Production and Economic Systems Using the Statistical Data

The subject of this paper is the decision making processes in production and economic systems conditioned by implementation of goods innovation projects as well as economic and mathematical models and methods of managing the processes. The research object viewed in the paper is the construction of models of goods innovation projects implementation and the ways of implementation thereof based on the mathematical apparatus and statistical data. The paper discusses a method of constructing the models of support for managerial decision making in production and economic systems and working with them based on simulation and mathematical programming methods. The task of selecting the production and economic systems for implementation of projects as well as of forming the production and economic system portfolios is worded in general. The author also pays attention to the questions of designing and using the information systems based on simulation approaches for supporting the decision making, studying the goods innovation projects at various development stages, and the production and economic systems implementing them. A method of forming and transferring data is suggested the implementation of which will allow solving the tasks of support for decision making in production and economic systems based on statistical data and criterial methods as well as perform risk assessment and measure the sensitivity of the results obtained to changing characteristics of the projects and the influence of the environment. Keywords: decision making support; mathematical programming; volume scheduling; innovation project; production and economic system; data processing; statistical data. JEL Classifications: C44, C55, C63, C8

Adaptive Multi-Priority Rule Approach To Control Agile Disassembly Systems In Remanufacturing

End-of-Life (EOL) products in remanufacturing are prone to a high degree of uncertainty in terms of product quantity and quality. Therefore, the industrial shift towards a circular economy emphasizes the need for agile and hybrid disassembly systems. These systems feature a dynamic material flow. Besides that, they combine the endurance of robots with the dexterity of human operators for an effective and economically reasonable EOL-product treatment. Moreover, being reconfigurable, agile disassembly systems allow an alignment of their functional and quantitative capacity to volatile production programs. However, changes in both the system configuration and the production program to be processed call for adaptive approaches to production control. This paper proposes a multi-priority rule heuristic combined with an optimization tool for adaptive re-parameterization. First, domain-specific priority rules are introduced and incorporated into a weighted priority function for disassembly task allocation. Besides that, a novel metaheuristic parameter optimizer is devised to facilitate the adaption of weights in response to evolving requirements in a reasonable timeframe. Different metaheuristics such as simulated annealing or particle swarm optimization are incorporated as black-box optimizers. Subsequently, the performance of these metaheuristics is meticulously evaluated across six distinct test cases, employing discrete event simulation for evaluation, with a primary focus on measuring both speed and solution quality. To gauge the efficacy of the approach, a robust set of weights is employed as a benchmark. Encouragingly, the results of the experimentation reveal that the metaheuristics exhibit a notable proficiency in rapidly identifying high-quality solutions. The results are promising in that the metaheuristics can quickly find reasonable solutions, thus illustrating the compelling potential in enhancing the efficiency of agile disassembly systems

Clarifying care : elaborating and expanding the care ethic

The debate over women\u27s ways of knowing has been contentious and growing since Carol Gillgian\u27s groundbreaking bookIn aDifferent Voice, which established a contrast between the care ethic(associated with women)and the justice ethic(associated with men). The dissertation explores the care/justice distinction,taking the investigation to a new level by providing a model that explores the perspectives according to a number of criteria organized according to a conceptual-theoretical dimension and also a dimension of praxis. The concepts of universal rights and principles are analyzed in relation to the ethics,leading to the conclusion that care can incorporate them into its ideology without thereby appealing to the justice ethic or hybridizing with it.Two well-known theories of care,Nel Noddings\u27(1984)and Joan Tronto\u27s(1993)are examined according to the two-dimensional modelI develop. The end result is a fusion of the views into a comprehensive theoretical perspective with applications in both the personal and political spheres. The traditional image,then,of care as a mothering tool limited to the dynamic of family and friends is replaced by an ethical view of care that places women\u27s ways of knowing firmly in the arena of business, politics, and other large-scale areas of moral concern

Towards a cognitive linguistic approach to language comprehension

This thesis develops a cognitive linguistic approach to language comprehension. The cognitive approach differs from traditional linguistic approaches in that linguistic description is seen as an integral part of the description of cognition, and that the object of description is the nature of conceptual structures, the processes which relate these conceptual structures, and the effect of context upon these processes. As a cognitive description within cognitive science, a computational approach is adopted: language comprehension is described in terms of two modules, a linguistic processing module and a discourse processing module. Within these modules, conceptual structures and processes are given a uniform characterization: structures are characterized as partial objects which are extended by processes into (potentially) less partial objects. In the linguistic processing module, linguistic expressions are characterized as signs which combine as head and modifier. The conceptual structu..

Dynamics, Adaptation and Control for Mental Models:A Cognitive Architecture

In this chapter, an overview of the wide variety of occurrences of mental models in the literature is discussed. They are classified according to two dimensions obtaining four categories of mental models: static-dynamic and world-mental, where static refers to mental models for static world states or for static mental states and dynamic refers to mental models for world processes or for mental processes. In addition, distinctions are made for what can be done by mental models: they can, for example, be (1) used for internal simulation, they can be (2) adapted, and these processes can be (3) controlled. This leads to a global three-level cognitive architecture covering these three ways of handling mental models. It is discussed that in this cognitive architecture reflection principles play an important role to define the interactions between the different levels.</p