Decision Making in Manufacturing and Services
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ISSN 1896-8325
e-ISSN: 2300-7087
Issue Date
2019
Volume
Vol. 13
Number
No. 1-2
Description
Journal Volume
Decision Making in Manufacturing and Services
Vol. 13 (2019)
Projects
Pages
Articles
A SPC strategy for decision making in manufacturing processes
(AGH University of Science and Technology Press, 2019) Gil Del Val, Alain; Sawik, Bartosz; Alba, Maria Agustín Martin; Faulin, Javier; Diéguez-Elizondo, Pedro María
Tapping is an extensively employed manufacturing process by which a multi-teeth tool, known as a tap, cuts a mating thread when driven into a hole. When taps are new or slightly worn, the process is under control and the geometry of the resulting threads on the workpiece is correct. But as the tap wear increases, the thread geometry deviates progressively from the correct one and eventually the screw threads become unacceptable. The aim of this paper is to outline the development of a statistical process control strategy for decision making based on data coming from the current signal of the tap spindle for assessing thread quality. It could operate on line, and indicates when the tap wear is so critical that, if the process were continued, it would result in unacceptable screw threads. The system would be very cost-effective since the tapping process could be run without any operator intervention.
A MILP model for the municipal solid waste selective collection routing problem
(AGH University of Science and Technology Press, 2019) Korcyl, Antoni; Książek, Roger; Gdowska, Katarzyna
Nowadays, selective solid waste management in the European Union belongs to important responsibilities of municipalities. In Solid Waste Management (SWM) the main operational task is to set a schedule for solid waste collection and to find optimal routes for garbage trucks, so that the total costs of the solid waste collection service can be minimized, subject to a series of constraints which not only guarantee the fulfillment of the SWM's obligations but also ensure the desirable quality level of that service. The optimization in garbage truck routing belongs to so called rich Vehicle Routing Problems as it aims to cover the following constraints: pickup nodes (clients) must be visited during their predefined time windows, the number and capacity of depots and specialized sorting units cannot be exceeded, each garbage truck can be assigned to at most one depot, each route should be dedicated to collecting one type of segregated solid waste, and the route must be served by a garbage truck which can collect that type of solid waste, the availability of garbage trucks and their drivers must be respected, each garbage truck must be drained at a specialized sorting unit before going back to the depot. This paper contributes a newly developed Mixed-Integer Programming (MIP) model for the Municipal Solid Waste Selective Collection Routing Problem (MSWSCRP) with time windows, limited heterogeneous fleet, and different types of segregated solid waste to be collected separately. Results obtained for solving small-sized instance of the MSWSCRP are reported.
Preferable ways of decision-making in IT teams
(AGH University of Science and Technology Press, 2019) Krawczyk-Bryłka, Beata; Krawczyk, Henryk
Software development team collaboration requires various decisions regarding essential aspects of a project's progress. General and particular decision-making models are considered, and their main aspects such as team types, problem solving categories, and decision-making ways are analyzed. The research concerns representative groups of IT specialists and their preferences in decision-making are investigated. Four possible cases were tested: hierarchical choice (by leader) team members' choice (team consensus or voting) and external expert impact. It allows one to show some differences in the behaviors of both traditional and virtual teams.
The application of Multiple Criteria Decision Making/Aiding methodology in the evaluation and redesign of logistics systems
(AGH University of Science and Technology Press, 2019) Żak, Jacek
The paper presents the methodological background of Multiple Criteria Decision Making/Aiding (MCDM/A) and its practical application in logistics systems. It explains why MCDM/A methodology is important when dealing with different categories of decision problems that arise in those systems. The major features and basic notions of MCDM/A methodology are presented, while different categories of MCDM/A methods are characterized and classified. Two case studies demonstrate potential applications of MCDM/A methodology in logistics. In the first case study multiple objective optimization of the distribution system is carried out and compared with single objective optimization. The decision problem is formulated as multiple criteria mathematical programming problem and solved by an extended version of MS Excel Solver - Premium Solver Plus. The second case study focuses on multiple criteria evaluation and the ranking of logistics infrastructure objects, i.e. a set of warehouses - distribution centres. The decision problem is formulated as a multiple criteria ranking problem and solved with an application of the ELECTRE III/IV method.
Support of decision-making under risk by a risk-averse decision-maker
(AGH University of Science and Technology Press, 2019) Łodziński, Andrzej
The paper presents a method of supporting decision-making under risk by a risk-averse decision-maker. Decision-making under risk occurs when the outcome of the system is ambiguous and depends on the state of the environment. The problem is considered as a multi-criteria optimization. The decision support method consists of interactive conduct of the process of decision-making. The decision is made by means of solving a problem with controlling parameters, which determine the aspirations of the decision-maker and evaluating the obtained solutions. The decision-maker sets parameters for which a solution is determined. Subsequently, he or she assesses the obtained solution, accepting or rejecting it. In the latter case, the decision-maker sets new values for the parameters and the problem is solved again. The present paper presents a discrete example of support for decision making under risk.