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Exploring the need for a new paradigm in engineering management and the decision-making process in technology-based organisations

Philbin Simon P., Kennedy Donald

Engineering Management in Production and Services

2020

Vol. 12, no. 4

7--21

Engineering management and engineering projects are subject to greater levels of uncertainty and complexity as part of the current dynamic and competitive industrial environment. Engineering managers need to navigate the arising challenges and consequently gain access to effective decision-making processes. Engineering education has a clear role to play here. However, formal education in quantitative methods is only part of the solution — engineers and engineering managers should also have access to a broader set of skills and knowledge to be effective in the industrial landscape. Therefore, we now need a new paradigm for engineering management and the decision-making process. This article draws on supporting material from the literature and the insights gained from a series of industrial cases using the participatory action research method and a process of inductive reasoning to allow synthesis of generalised propositions that are linked to the industrial cases and antecedent factors from the literature. The findings lead to a set of areas that require further development to support engineering managers to be more effective when dealing with increasing levels of uncertainty and complexity. This includes a number of areas, which are as follow: the need for engineering managers to have enhanced professional skills and knowledge; the importance of experience-based judgement; effective knowledge management; supportive leadership and overall organisational culture; and a holistic approach to decision-making. The research study has practical relevance to engineering management practitioners working in industrial companies to support self-evaluation and professional development. The findings are also pertinent to academic researchers seeking to evaluate decision-making models as part of extending the current understanding of the field of engineering management in technology-based organisations.

Zastosowanie metaheurystycznych algorytmów szeregowania zadań w harmonogramowaniu wieloobiektowych przedsięwzięć budowlanych

Podolski M.

Prace Naukowe Instytutu Budownictwa Politechniki Wrocławskiej. Studia i Materiały

2006

Vol. 87, nr 18

147-156

W pracy przedstawiono modele przedsięwzięć, które wymagają wykonania wielu obiektów budowlanych przy ograniczonym dla realizatora dostępie do zasobów. Są one przypadkami problemów optymalizacji dyskretnej rozważanych zazwyczaj w ramach teorii szeregowania zadań. W związku z wielką liczbą rozwiązań dopuszczalnych takich problemów zastosowano metody przybliżone - algorytmy poszukiwania z zakazami, genetyczny, symulowanego wyżarzania. Zaprezentowane modele zilustrowano przykładami obliczeniowymi.

The paper deals with problems of scheduling multiobject civil engineering projects. The models of these problems are presented. The solution is based on metaheuristic algorithms of job scheduling problems: tabu search, genetic search, simulated annealing. The examples of models and application of these algorithms are also presented.