A multidimensional approach to the resource allocation problem (RAP) through the prism of industrial information integration (III)
The problem of resource allocation has been studied by applying diversified models and methods. There are efficient approaches to solving this task based on mathematical modeling, experts’ assessment, optimization methods, and others. However, the development of the modern world emphasizes the need of applying a new paradigm to deal with traditional problems. Industrial Informational Integration (III) as a new subject claims a multidimensional approach to achieve the company's goals in a volatile, uncertain, complex, and ambiguous (VUCA) environment. Today managers have to make faster decisions and revise them as quickly as possible. With the rise of sustainability considerations and digital transformation, classical approaches to industrial management should be transformed. In this article, we assume III as a driving tool for increasing the accuracy of business process management (BPM) on the example of the resource allocation problem (RAP). Our research considers the dissonance problem of local optimum different from overall system target goals within a multi-project industrial environment. This paper seeks to bring the discussion forward by analyzing the existing approaches and designing the integrated methodological framework for the resource assignment process relevant to a centralized resource management system.
We have a broad view of resource allocation to the applicants through the prism of information integration, including sustainable development, systems performance improvement, and strategic goals achievement. The research article integrates several management, planning, and control tools with resource allocation methods. In the first step, we investigated diversified approaches towards the RAP for the multi-project economic environment and then proposed revised solutions combined with advanced managerial techniques. To meet the requirements of digital transformation, some computer-based conceptual solutions for RAP are proposed.
The purpose of the present study is to contribute to the research field by claiming that the RAP can be solved within the information-integrated framework containing alternatives and limitations of each method to achieve many combinations reflecting to particular system requirements and target goals. To this extent, the RAP relies on efficient integration opportunities within an industrial multi-project system enabling transparent strategic goals transfer, cooperation, and operational excellence with a high service level provided.