Implementation of Hybrid (Integrated) Methods for Planning Process Optimization
Abstract
Purpose. The present article aims to point out and compare key points and practices of
the application of Lean principles and selected tools in combination with project management
methods and tools for planning process optimization both on academic and practical level.
Design / methodology / approach. For the purpose of a multi-dimensional theory-based
narrative review of the subject with several different methods of data collection are used:
documental and comparative analysis, review of scientific literature and systemizationsynthesis
of information, content analysis.An analysis is based on a qualitative paradigm and
focus to supply chain management (SCM), Total Quality Management, Change management
and Continuous Improvement theories..
Findings. Results of the multi-dimensional evaluation of the subject suggest that
principles of the Lean system and Kanban tools can be successfully applicable and compatible
in planning process activities and its optimization both separately and as a part of hybrid
(integrated) methods.
Research limitations / implications. The research are of a limited scope from a few points
of view: first, it is noticed that a limited quantity of research is made within the field of using
hybrid (integrated) methods, especially in the case of academic research performed in
Lithuania. So, there is no concrete Measurement Model or step by step guides how these
methods should be implemented, what are key issues in this process and how results should
be evaluated. In addition, there is a limited orientation to such fields as public and nongovernmental
sectors and organizations, where the need of planning and overall change
management is even more significant and missing. Furthermore, this article is based on a
narrative type of review towards a scientific literature where findings and theoretical
conclusions are outlined from a holistic interpretation contributed by the reviewers’ own
experience, mentioned theories and models by using the method of information
systemization. In relation to that, case studies and comparative analysis towards a practical
implication are not sufficiently elaborated from the point of theoretical overview , therefore,
they have not been within the focus of scientific analysis in this paper. The fourth limitation
might be the complexity and the dynamics of a planning process as well as the primary
orientation of the Lean system and tools directed to the manufacturing and industry sector.
Practical implications. Summarized and underlying research and its findings may serve
as a basis for a relevant input to a further scientific discussion regarding the optimization of
planning process and adoption of hybrid (integrated) methods in this or related fields. It
addition, it might be useful within a practical implementation of new methods of project or
process management and planning.
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