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Fedotova, Marina A.
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Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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Hybrid Systems of Soft Computing Technologies in Designing Team Decision for Supply Chain Management Systems of Organizations Fedotova, Marina A.; Khromova, Sofia A.; Argunovsky, Dmitry I.; Polushin, Pyotr V.
International Journal of Supply Chain Management Vol 9, No 4 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract—The main objective is development of hybrid systems for adaptive designing and supply chain management / strategizing of team decision “packages” for design work based on the use of soft computing technologies and system-creative thinking (SCT). An algorithm is proposed, and the results of case studies on predicting the effectiveness and optimal organization of team thinking, as well as designing team solutions using the technical package of social technologies are presented. They are exemplified by developing a system of products and marketing channels (points of contact) of an employer brand (EB) of an organization for individual stakeholder groups. An algorithm has been developed for using a system of hybrid “soft computing” technologies and system-creative thinking in supply chain process of project teamwork; practical calculations have been carried out using this algorithm. The algorithm and systems of models for using “soft computing” for supply chain developed allow us to obtain a synergistic effect from controlling a system of hybrid technologies at various stages of teamwork. The package includes a “basic” technology comprising “training teams”, and also the formation of a KPI system that characterize team work (units 1 and 2), “product” technologies comprising analysis of team organization thinking, forecasting team performance, team productivity management, as well as supply chain management of project (units 4, 5, 6), and also “closing” technology being a strategizing (adaptive management) of team work (dynamic control of the algorithm as a whole).
Modelling of Training Program Development for Supply Chain Management Business Project Development: Practical Research Results Konstantinov, Igor; Fedotova, Marina A.; Bin, Yin
International Journal of Supply Chain Management Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v9i5.5613

Abstract

Abstract- the article discusses the issues related to information-analytical support of the management/strategy development for international supply chain management business projects within training program development (level 2 of IEBP management model system): the selection of the key meta-competences , forms and formats of project-based learning, the most preferred for the main task types characteristic of the attractive activities, selected during HR-organization strategy development for IEBP management (they provide a brief description of the problem statement for this level). The article describes in detail the development of MAI-hierarchies (general preliminary and refined in VS-modification) developed for this level. They provide calculations of multi-expert assessments during the implementation of the supply chain management business project "New supply chain management", and analyze the main problems associated with the made choice made. A brief overview of additional (corrective) models of the supply chain management process optimization/rationalization is provided for this level. It was founded that governments around the world need to play a prominent role in developing strategies to protect supply chains for the future and put in place more robust disaster recovery plans, including relevant stockpiles, to enable more resilient outcomes.
Co-Authors Argunovsky, Dmitry I. Bin, Yin Khromova, Sofia A. Konstantinov, Igor Polushin, Pyotr V.