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In today's technologically advanced world, projects are becoming much more complex and managers often face challenges of controlling the pace of the project. Visual project management (VPM) is a fundamental element of lean methods that allows the project management (PM) activities to accomplish efficiently and effectively within the timeline. The challenges and complexity of projects are on the rise nowadays due to distinct unpredicted characteristics for instance workplace accidents, environmental effects, price hiking of materials cost, and so on. Deficiency of controlling and monitoring the internal and external occurrences within the project sometimes drive to project failure. This article aims to gain an insight into the visual project management practices in various projects through literature analysis along with the understanding of the contribution of visual tools and elements in the purpose of controlling the project. The initial part of this research focuses on an in-depth literature review concerning the functions, tools, elements, and current state of the visual project management. The literature review reveals the contribution of visual management to support managerial strategy by integrating information, providing the elements, tools, and sensory aids into various project work settings. The analysis is conducted by keeping a case study as an example. Following this, a qualitative analysis of a case project provides insight into the findings of this article which focuses on the prominence of visual management in the current project characteristics. Through the analysis and discussion, the anticipation of visual management was explored and identify the findings that disagree or complements the previous literature. Nevertheless, the overall research is concerned with the improvement of the project performance and effectiveness, removing potential threats and uncertainties and controlling the project through VPM philosophies.

Distinguishing and diminishing risks in today’s projects are crucial for project success. Almost every project is facing several risks throughout the project timeline. Construction projects in Finland are also facing project risks due to the complexity of the project. To minimize the impact of risks, an effective risk management approach must be incorporated into every project which also includes the effectiveness and measurement of its performance. Managing the risks is an important job but measuring the RM performance is crucial. Thus, the objective of this study is to analyze the risk management (RM) and risk management performance measurement (RMPM) through an indepth empirical analysis of two complex construction projects of Finland. To achieve the objective, a qualitative case study is followed by the authors of this article to identify the RM processes, major and minor risks of the projects, RM strategies to mitigate them and RM performance measurement strategies. Overall, this article provides a comparative analysis of RM and RMPM for construction projects and it can be used as a basis for further research into RM perspective in complex construction projects.

Additional file 1: Table 1. Prevalence of the problems considered in the HRQoL measure by comorbidity status.

Risk management in logistics is arduous and involves a recondite number of issues such as selecting suppliers, performance of the suppliers, third party, outsourcing and so on. Selecting the best supplier by abating other suppliers has always been a challenge for the production system as there many internal and external vulnerabilities with less analogy. This study assesses the operational risk factors with its plethora of tortuous and downstream partners and develops a model using Analytical Hierarchy Process (AHP) tool. Considering the selection criteria for managing risks, this tool saturates and prioritizes the suppliers. AHP engenders a practical Multi-Criteria Decision Making (MCDM) tool providing the foundation of making a documented decision making. The purpose of this paper is serving a prioritized list of alternative suppliers in a way that if one supplier is unable to sustain and supply materials, the company gets the second option to choose another supplier within no time. Thus, the production system will not be hampered, the risk factors will be minimized and the company will be beneficent., {"references":["Chai, J., Liu, J.N. and Ngai, E.W., 2013. Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10), pp.3872-3885.","Kara, S.S., 2011. Supplier selection with an integrated methodology in unknown environment. Expert Systems with Applications, 38(3), pp.2133-2139.","Ho, W., Xu, X. and Dey, P.K., 2010. Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of operational research, 202(1), pp.16-24.","Akarte, M.M., Surendra, N.V., Ravi, B. and Rangaraj, N., 2001. Web based casting supplier evaluation using analytical hierarchy process. Journal of the Operational Research Society, pp.511-522.","Muralidharan, C., Anantharaman, N. and Deshmukh, S.G., 2002. A multi‐criteria group decision making model for supplier rating. Journal of supply","Chen, Y.H. and Chao, R.J., 2012. Supplier selection using consistent fuzzy preference relations. Expert Systems with Applications, 39(3), pp.3233-3240.","Bhutia, P.W. and Phipon, R., 2012. Application of AHP and TOPSIS method for supplier selection problem. IOSR Journal of Engineering, 2(10), pp.43-50.","Kilincci, O. and Onal, S.A., 2011. Fuzzy AHP approach for supplier selection in a washing machine company. Expert systems with Applications, 38(8), pp.9656-9664.","Ozkan, B., Basligil, H. and Sahin, N., 2011, July. Supplier selection using analytic hierarchy process: an application from Turkey. In Proceedings of the world congress on Engineering (Vol. 2, pp. 6-8).","Hou, J., Su, D., \"\"EJB–MVC oriented supplier Yücenur, G.N., Vayvay, Ö. and Demirel, N.Ç., 2011. Supplier selection problem in global supply chains by AHP and ANP approaches under fuzzy environment. The International Journal of Advanced Manufacturing Technology, 56(5), pp.823-833."]}