Enhanced Economic Sustainable Evaluation of Operational Planning in Industrial Engineering

With the rise of sustainability considerations as well as with smart concepts, classical approaches of supply chain management were transformed into advanced models including integrated sustainability dimensions. The high degree of integration of modern companies supports the holistic view of the supply chain management (SCM) process, and require much more precise approaches on control procedures, considering analysis as well as synthesis of functions, targets, and management parameters. The aim of the research is to outline an appropriate cybernetic management model within a conceptual framework, so that it can be used for solving contradicting objectives in operational planning, as well as fulfil tasks in budget planning and give guidelines for management tasks in the logistic functions. First it was split the complex tasks of holistic planning into smaller steps, which allows to analyse separately the logistic functions and therefore dimensions of supply chain, and manage them by setting targets, design actuating variables and manage control variables using the parameter of the Total Logistic Cost (TLC) approach. With this approach it is shown how to determine and to manage complex reciprocal dependencies between the actuating variables of the logistic function and the targeting in the operational planning as well as the control variables used as measures in the budgeting process. This approach enriches additionally the understandings of smart data in digital-twin solutions, and it is a conceptual basis for artificial learning theory, as it may serve as a framework for optimization and simulation-oriented software advanced solutions.