Integrative logistics model for linking planning and control tasks with logistical target and control variables of the company's internal supply chain

• Applicant: Professor Dr.-Ing. Matthias Schmidt
• Subject Area: Production Systems, Operations Management, Quality Management and Factory Planning
• Term: from 2014 to 2018
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 258099568

Focusing on logistics costs and performance becomes more important for the supply chain management due the increasing interconnectedness of corporate supply chains. Increasingly, management needs to pursue strategy providing logistical targets. The logistic-oriented design of the internal supply chain becomes critical to the success of the company. The internal supply chain of an enterprise to the customer consists of the core processes of procurement, production (manufacturing and assembly) and distribution. These core processes are influenced by planning and control processes specifying the control variables.A refinement of planning and control processes oriented on logistical targets across the internal supply chain thus represents a significant requirement for companies, but is accompanied by numerous challenges such as complexity, dynamism , a lack of clarity, divisional and single KPI optimization. Due to their reducing (neglecting of unimportant reality features) and idealizing (simplifying essential properties) function, models as simplified representations of reality, are to overcome the above challenges.The aim of this research project is to develop an integrative logistics model of interrelationships between logistic target and control variables and their link with universally defined planning and control tasks in the core processes of the company's internal supply chain.The logistics model will be developed in a sequential approach in five methodological work packages (AP), and will be provided to third parties over the internet in a scalable and interactive visualization form. Based on the definition of logistic target in the core processes (AP1) control and set variables (AP2) will be deduced, core process-specific planning and control tasks will be assigned and an application-oriented design of the logistics model (AP4) will be developed. A final matching of existing quantitative description, impact and decision-making models with the logistics model uncovers domains for further research for quantitative interrelationships along the corporate supply chain (AP5). Towards a consistent modeling of logistic processes along company's internal supply chain this research project provides direct and indirect benefits by the horizontal and vertical expansion of the previous model boundaries and the designation of open research questions.

• DFG Programme: Research Grants
• Participating Person: Professor Dr.-Ing. Peter Nyhuis